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| author | Henry Cook <hcook@eecs.berkeley.edu> | 2013-06-13 15:30:16 -0700 |
|---|---|---|
| committer | Henry Cook <hcook@eecs.berkeley.edu> | 2013-06-13 15:30:16 -0700 |
| commit | 60f056880ec6929c5f23af4d66aea0f0cb7b0245 (patch) | |
| tree | a2f4cbc9902df362534ede13d65883ee47fba2d8 | |
| parent | 4412b96c81ca09dcce6305579dd86d4bf3b808da (diff) | |
| download | riscv-tests-60f056880ec6929c5f23af4d66aea0f0cb7b0245.zip riscv-tests-60f056880ec6929c5f23af4d66aea0f0cb7b0245.tar.gz riscv-tests-60f056880ec6929c5f23af4d66aea0f0cb7b0245.tar.bz2 | |
multithreading tests from 152 lab 5
285 files changed, 60428 insertions, 0 deletions
diff --git a/mt/Makefile b/mt/Makefile new file mode 100755 index 0000000..47d75b5 --- /dev/null +++ b/mt/Makefile @@ -0,0 +1,172 @@ +#======================================================================= +# UCB VLSI FLOW: Makefile for riscv-bmarks/mt +#----------------------------------------------------------------------- +# Henry Cook (hcook@cs.berkeley.edu) +# + +default: all + +bmarkdir = . + +instname = riscv-bmarks-mt +instbasedir = $(UCB_VLSI_HOME)/install + +#-------------------------------------------------------------------- +# Sources +#-------------------------------------------------------------------- + +bmarks = \ +ab_matmul\ +ab_vvadd\ +ad_matmul\ +ad_vvadd\ +ae_matmul\ +ae_vvadd\ +af_matmul\ +af_vvadd\ +ag_matmul\ +ag_vvadd\ +ai_matmul\ +ai_vvadd\ +aj_vvadd\ +ak_matmul\ +ak_vvadd\ +al_matmul\ +al_vvadd\ +am_matmul\ +am_vvadd\ +an_matmul\ +an_vvadd\ +ap_matmul\ +ap_vvadd\ +aq_matmul\ +aq_vvadd\ +ar_matmul\ +ar_vvadd\ +as_matmul\ +as_vvadd\ +at_matmul\ +at_vvadd\ +av_matmul\ +av_vvadd\ +ay_matmul\ +ay_vvadd\ +az_matmul\ +az_vvadd\ +ba_matmul\ +ba_vvadd\ +bb_matmul\ +bb_vvadd\ +bc_matmul\ +bc_vvadd\ +be_matmul\ +be_vvadd\ +bf_matmul\ +bf_vvadd\ +bh_matmul\ +bh_vvadd\ +bj_matmul\ +bj_vvadd\ +bk_matmul\ +bk_vvadd\ +bm_matmul\ +bm_vvadd\ +bn_matmul\ +bn_vvadd\ +bo_matmul\ +bo_vvadd\ +bp_matmul\ +bp_vvadd\ +br_matmul\ +br_vvadd\ +bs_matmul\ +bs_vvadd\ +bt_matmul\ +bt_vvadd\ + +#-------------------------------------------------------------------- +# Build rules +#-------------------------------------------------------------------- + +RISCV_GCC = riscv-gcc +RISCV_GCC_OPTS = -std=gnu99 -T common/test.ld -O3 -nostdlib -nostartfiles -funroll-all-loops +RISCV_LINK = riscv-gcc -T $(bmarkdir)/common/test.ld +RISCV_LINK_MT = riscv-gcc -T $(bmarkdir)/common/test-mt.ld +RISCV_LINK_OPTS = -lc +RISCV_LINK_SYSCALL = $(bmarkdir)/common/syscalls.c -lc +RISCV_OBJDUMP = riscv-objdump --disassemble-all --disassemble-zeroes --section=.text --section=.text.startup --section=.data +RISCV_SIM = spike -p2 + +VPATH += $(addprefix $(bmarkdir)/, $(bmarks)) +VPATH += $(bmarkdir)/common + +incs += -I. -I./common $(addprefix -I$(bmarkdir)/, $(bmarks)) +objs := + +#include $(patsubst %, $(bmarkdir)/%/bmark.mk, $(bmarks)) + +#------------------------------------------------------------ +# Build and run benchmarks on riscv simulator +#------------------------------------------------------------ + +bmarks_riscv_obj = $(addsuffix .o, $(bmarks)) +bmarks_riscv_bin = $(addsuffix .riscv, $(bmarks)) +bmarks_riscv_dump = $(addsuffix .riscv.dump, $(bmarks)) +bmarks_riscv_hex = $(addsuffix .riscv.hex, $(bmarks)) +bmarks_riscv_out = $(addsuffix .riscv.out, $(bmarks)) + +bmarks_defs = -DPREALLOCATE=1 -DHOST_DEBUG=0 +bmarks_cycles = 80000 + +%.hex: % + elf2hex 16 32768 $< > $@ + +$(bmarks_riscv_bin): %.riscv: %.o crt-mt.o + $(RISCV_LINK_MT) crt-mt.o $< $(RISCV_LINK_SYSCALL) -o $@ + +$(bmarks_riscv_dump): %.riscv.dump: %.riscv + $(RISCV_OBJDUMP) $< > $@ + +$(bmarks_riscv_out): %.riscv.out: %.riscv + $(RISCV_SIM) $< > $@ + +%.o: %.c + $(RISCV_GCC) $(RISCV_GCC_OPTS) $(bmarks_defs) \ + -c $(incs) $< -o $@ + +%.o: %.S + $(RISCV_GCC) $(RISCV_GCC_OPTS) $(bmarks_defs) \ + -c $(incs) $< -o $@ + +riscv: $(bmarks_riscv_dump) $(bmarks_riscv_hex) +run-riscv: $(bmarks_riscv_out) + echo; perl -ne 'print " [$$1] $$ARGV \t$$2\n" if /\*{3}(.{8})\*{3}(.*)/' \ + +junk += $(bmarks_riscv_bin) $(bmarks_riscv_dump) $(bmarks_riscv_hex) $(bmarks_riscv_out) + + +#------------------------------------------------------------ +# Default + +all: riscv + +#------------------------------------------------------------ +# Install + +date_suffix = $(shell date +%Y-%m-%d_%H-%M) +install_dir = $(instbasedir)/$(instname)-$(date_suffix) +latest_install = $(shell ls -1 -d $(instbasedir)/$(instname)* | tail -n 1) + +install: + mkdir $(install_dir) + cp -r $(bmarks_riscv_bin) $(bmarks_riscv_dump) $(install_dir) + +install-link: + rm -rf $(instbasedir)/$(instname) + ln -s $(latest_install) $(instbasedir)/$(instname) + +#------------------------------------------------------------ +# Clean up + +clean: + rm -rf $(objs) $(junk) diff --git a/mt/ab_matmul/ab_matmul.c b/mt/ab_matmul/ab_matmul.c new file mode 100755 index 0000000..0cd1bf5 --- /dev/null +++ b/mt/ab_matmul/ab_matmul.c @@ -0,0 +1,246 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + + // I think I've got a way for this to not need the "shared" state to work nicely, so no MSI version + int i, j, k, lda_over_2; + lda_over_2 = lda/2; + + if(coreid > 1) + return; + // left side of c + if(coreid == 0) + { + // first half of topleft corner + for(i = 0; i < lda_over_2; i++) { + for(j = 0; j < lda_over_2; j++) { + for(k = 0; k < lda_over_2; k++) { + C[i*lda + j] += A[i*lda + k]*B[k*lda + j]; + } + } + } + // second half of topleft corner + for(i = 0; i < lda_over_2; i++) { + for(j = 0; j < lda_over_2; j++) { + for(k = lda_over_2; k < lda; k++) { + C[i*lda + j] += A[i*lda + k]*B[k*lda + j]; + } + } + } + // second half of bottomleft corner + for(i = lda_over_2; i < lda; i++) { + for(j = 0; j < lda_over_2; j++) { + for(k = lda_over_2; k < lda; k++) { + C[i*lda + j] += A[i*lda + k]*B[k*lda + j]; + } + } + } + // first half of bottomleft corner + for(i = lda_over_2; i < lda; i++) { + for(j = 0; j < lda_over_2; j++) { + for(k = 0; k < lda_over_2; k++) { + C[i*lda + j] += A[i*lda + k]*B[k*lda + j]; + } + } + } + } + else // coreid == 1 + { + // first half of bottomright corner + for(i = lda_over_2; i < lda; i++) { + for(j = lda_over_2; j < lda; j++) { + for(k = 0; k < lda_over_2; k++) { + C[i*lda + j] += A[i*lda + k]*B[k*lda + j]; + } + } + } + // second half of bottomright corner + for(i = lda_over_2; i < lda; i++) { + for(j = lda_over_2; j < lda; j++) { + for(k = lda_over_2; k < lda; k++) { + C[i*lda + j] += A[i*lda + k]*B[k*lda + j]; + } + } + } + // second half of topright corner + for(i = 0; i < lda_over_2; i++) { + for(j = lda_over_2; j < lda; j++) { + for(k = lda_over_2; k < lda; k++) { + C[i*lda + j] += A[i*lda + k]*B[k*lda + j]; + } + } + } + // first half of topright corner + for(i = 0; i < lda_over_2; i++) { + for(j = lda_over_2; j < lda; j++) { + for(k = 0; k < lda_over_2; k++) { + C[i*lda + j] += A[i*lda + k]*B[k*lda + j]; + } + } + } + } + + return; +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + +// // Execute the provided, naive matmul +// barrier(); +// stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); +// +// +// // verify +// verify(ARRAY_SIZE, results_data, verify_data); +// +// // clear results from the first trial +// size_t i; +// if (coreid == 0) +// for (i=0; i < ARRAY_SIZE; i++) +// results_data[i] = 0; +// barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/ab_matmul/dataset.h b/mt/ab_matmul/dataset.h new file mode 100755 index 0000000..dde3ee4 --- /dev/null +++ b/mt/ab_matmul/dataset.h @@ -0,0 +1,174 @@ + +#define ARRAY_SIZE 1024 + + +#define DIM_SIZE 32 + +static data_t input1_data[ARRAY_SIZE] = +{ + 0, 3, 2, 0, 3, 1, 0, 3, 2, 3, 2, 0, 3, 3, 1, 2, 3, 0, 0, 1, + 1, 1, 2, 3, 1, 2, 3, 1, 1, 3, 2, 2, 0, 1, 3, 2, 2, 2, 0, 0, + 1, 0, 1, 3, 3, 0, 3, 3, 3, 3, 0, 3, 2, 1, 2, 2, 0, 0, 3, 0, + 1, 1, 0, 3, 3, 1, 2, 3, 3, 0, 1, 2, 1, 0, 1, 2, 2, 1, 0, 3, + 1, 0, 2, 2, 1, 1, 1, 1, 1, 1, 2, 0, 3, 1, 1, 2, 2, 3, 3, 1, + 3, 2, 0, 0, 0, 3, 3, 3, 2, 1, 2, 3, 1, 0, 0, 0, 0, 1, 2, 2, + 1, 1, 3, 3, 3, 1, 1, 2, 3, 1, 3, 3, 2, 3, 2, 1, 2, 3, 0, 2, + 2, 1, 1, 0, 0, 0, 0, 0, 1, 3, 3, 1, 1, 1, 2, 2, 3, 2, 1, 1, + 1, 1, 3, 0, 2, 2, 1, 3, 2, 1, 2, 2, 1, 3, 1, 3, 1, 3, 2, 3, + 1, 2, 1, 3, 2, 2, 0, 1, 0, 0, 1, 2, 3, 3, 1, 0, 0, 0, 3, 1, + 2, 3, 2, 3, 2, 0, 0, 0, 0, 0, 3, 1, 3, 0, 0, 0, 3, 1, 1, 1, + 1, 2, 1, 2, 3, 2, 0, 0, 2, 2, 3, 0, 3, 0, 0, 3, 0, 3, 1, 3, + 3, 1, 1, 1, 2, 2, 1, 3, 0, 3, 3, 1, 0, 0, 3, 2, 1, 3, 3, 3, + 1, 0, 1, 1, 2, 1, 0, 1, 1, 2, 2, 3, 1, 2, 2, 2, 0, 1, 3, 3, + 3, 2, 2, 1, 0, 1, 2, 0, 1, 1, 1, 1, 2, 3, 2, 2, 3, 3, 0, 0, + 2, 0, 0, 0, 3, 0, 1, 0, 3, 0, 0, 0, 3, 0, 0, 2, 0, 2, 0, 0, + 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 0, 2, 0, 0, 3, 3, 2, 3, 3, 0, + 1, 0, 2, 2, 0, 3, 3, 1, 1, 0, 2, 3, 2, 1, 1, 0, 1, 2, 1, 2, + 2, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 3, 3, 2, 0, 0, 1, 3, 0, 3, + 3, 0, 0, 0, 0, 3, 3, 1, 0, 0, 3, 3, 2, 1, 2, 1, 3, 3, 0, 1, + 3, 0, 2, 3, 1, 3, 3, 3, 3, 3, 0, 1, 1, 3, 0, 2, 2, 3, 1, 2, + 2, 2, 1, 3, 3, 0, 3, 0, 0, 2, 0, 2, 3, 0, 1, 3, 2, 2, 0, 0, + 2, 3, 0, 2, 2, 2, 3, 1, 0, 3, 3, 3, 3, 1, 0, 3, 3, 2, 0, 3, + 2, 0, 3, 0, 2, 0, 0, 2, 2, 1, 0, 2, 3, 1, 1, 1, 1, 2, 3, 3, + 3, 0, 0, 3, 3, 3, 2, 3, 3, 1, 2, 2, 3, 1, 2, 1, 1, 3, 0, 1, + 2, 0, 2, 0, 0, 1, 3, 2, 0, 1, 3, 2, 3, 3, 0, 0, 0, 1, 0, 3, + 3, 2, 2, 2, 1, 1, 2, 2, 1, 3, 2, 0, 1, 3, 2, 0, 2, 1, 3, 0, + 0, 0, 1, 3, 3, 2, 2, 2, 3, 1, 0, 0, 1, 1, 2, 1, 3, 1, 1, 2, + 2, 3, 2, 3, 0, 2, 3, 3, 0, 3, 0, 0, 1, 0, 0, 0, 1, 3, 1, 1, + 2, 3, 2, 1, 1, 2, 2, 2, 3, 0, 1, 1, 2, 1, 2, 0, 2, 3, 1, 3, + 0, 1, 1, 3, 0, 2, 3, 0, 1, 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 2, + 3, 0, 1, 1, 1, 1, 2, 0, 1, 2, 0, 1, 1, 1, 0, 1, 3, 2, 3, 1, + 0, 2, 1, 2, 1, 3, 3, 1, 0, 2, 2, 3, 1, 3, 1, 3, 0, 1, 0, 3, + 0, 3, 2, 0, 3, 3, 3, 0, 3, 2, 2, 2, 1, 3, 0, 0, 1, 1, 3, 0, + 1, 2, 1, 0, 0, 0, 3, 2, 2, 0, 0, 2, 1, 3, 0, 0, 3, 0, 0, 2, + 1, 1, 2, 2, 1, 3, 2, 2, 1, 1, 2, 1, 3, 2, 1, 1, 3, 0, 1, 3, + 3, 2, 2, 1, 0, 3, 2, 2, 2, 3, 0, 1, 3, 3, 2, 3, 0, 3, 2, 3, + 1, 1, 0, 0, 0, 2, 3, 0, 3, 0, 1, 1, 3, 1, 3, 2, 1, 1, 2, 1, + 3, 2, 0, 2, 1, 0, 2, 3, 2, 3, 2, 1, 2, 3, 0, 0, 1, 1, 0, 0, + 2, 1, 0, 1, 2, 2, 2, 2, 0, 3, 3, 1, 0, 0, 0, 0, 3, 1, 1, 0, + 0, 0, 0, 1, 2, 2, 1, 3, 0, 2, 3, 2, 3, 2, 2, 1, 2, 2, 3, 3, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 2, 2, 3, 1, 1, 1, 0, 0, 0, 3, 0, + 1, 0, 3, 1, 1, 3, 0, 1, 2, 2, 0, 0, 3, 3, 3, 3, 2, 1, 0, 0, + 1, 0, 2, 0, 1, 1, 0, 0, 3, 3, 2, 1, 1, 1, 0, 1, 1, 2, 2, 1, + 1, 2, 0, 3, 1, 3, 1, 0, 3, 0, 3, 1, 1, 1, 0, 2, 0, 3, 1, 0, + 1, 0, 2, 0, 2, 3, 3, 3, 1, 2, 3, 2, 2, 0, 1, 1, 0, 3, 3, 1, + 3, 3, 2, 0, 2, 0, 2, 2, 3, 3, 3, 0, 2, 3, 3, 1, 3, 2, 2, 2, + 0, 2, 3, 0, 2, 0, 3, 2, 2, 1, 1, 0, 2, 2, 2, 0, 2, 2, 0, 1, + 3, 2, 1, 3, 2, 2, 0, 3, 3, 1, 2, 2, 0, 0, 3, 2, 1, 2, 2, 1, + 3, 1, 2, 0, 0, 1, 1, 2, 1, 3, 2, 2, 3, 0, 2, 1, 3, 2, 1, 3, + 2, 3, 3, 1, 2, 1, 2, 2, 0, 0, 0, 3, 0, 2, 3, 1, 0, 0, 2, 3, + 3, 2, 2, 1 +}; + +static data_t input2_data[ARRAY_SIZE] = +{ + 1, 1, 0, 3, 1, 2, 0, 0, 0, 0, 0, 2, 1, 2, 3, 0, 0, 3, 3, 2, + 2, 1, 2, 3, 3, 0, 2, 2, 1, 1, 2, 2, 0, 2, 2, 1, 2, 3, 2, 2, + 3, 3, 2, 2, 1, 1, 1, 1, 2, 1, 2, 2, 3, 3, 3, 0, 0, 3, 2, 3, + 2, 3, 1, 2, 1, 1, 2, 2, 0, 1, 0, 3, 2, 1, 1, 1, 2, 0, 1, 2, + 2, 0, 2, 1, 3, 3, 2, 3, 2, 0, 3, 1, 3, 3, 2, 0, 1, 0, 1, 1, + 2, 2, 1, 1, 2, 2, 1, 2, 3, 3, 1, 3, 2, 2, 2, 3, 3, 1, 0, 2, + 1, 0, 0, 0, 1, 1, 2, 0, 3, 2, 3, 3, 0, 2, 3, 1, 0, 0, 2, 1, + 2, 0, 2, 1, 1, 2, 3, 1, 3, 2, 1, 0, 0, 0, 0, 0, 2, 2, 0, 2, + 1, 2, 0, 3, 2, 2, 0, 0, 3, 2, 1, 1, 3, 0, 2, 0, 0, 1, 0, 2, + 3, 3, 1, 3, 3, 0, 0, 2, 2, 0, 0, 0, 1, 0, 0, 1, 3, 0, 2, 1, + 3, 2, 2, 1, 3, 2, 0, 1, 2, 2, 3, 2, 1, 1, 1, 1, 3, 0, 1, 3, + 2, 2, 3, 1, 1, 2, 0, 2, 1, 1, 2, 3, 1, 0, 1, 0, 1, 1, 0, 0, + 2, 0, 3, 0, 3, 0, 3, 2, 2, 3, 3, 2, 1, 0, 2, 2, 1, 1, 0, 3, + 3, 2, 2, 0, 0, 3, 0, 1, 0, 0, 1, 2, 0, 1, 3, 0, 1, 2, 2, 0, + 0, 3, 0, 3, 0, 1, 1, 2, 0, 0, 0, 3, 0, 0, 2, 1, 1, 1, 0, 2, + 1, 3, 1, 2, 0, 3, 0, 3, 1, 3, 0, 0, 2, 2, 2, 2, 3, 3, 2, 1, + 2, 2, 1, 1, 2, 2, 2, 2, 0, 3, 0, 0, 2, 0, 1, 2, 0, 3, 2, 3, + 2, 0, 2, 1, 2, 1, 0, 2, 1, 1, 3, 2, 2, 3, 1, 0, 3, 3, 1, 0, + 3, 2, 2, 0, 0, 3, 0, 0, 2, 0, 3, 2, 3, 1, 1, 0, 0, 2, 3, 0, + 0, 1, 1, 1, 2, 1, 3, 2, 1, 3, 0, 1, 3, 3, 1, 1, 1, 1, 1, 1, + 0, 0, 2, 3, 2, 2, 2, 3, 2, 3, 1, 2, 3, 2, 2, 2, 0, 1, 3, 0, + 1, 1, 0, 1, 0, 1, 1, 3, 3, 1, 2, 2, 3, 2, 0, 2, 2, 0, 1, 3, + 0, 1, 3, 2, 1, 3, 3, 2, 0, 1, 3, 2, 0, 2, 1, 1, 0, 3, 0, 1, + 1, 1, 1, 1, 3, 0, 0, 1, 0, 2, 3, 1, 3, 0, 2, 1, 3, 0, 3, 0, + 3, 2, 2, 0, 0, 2, 1, 3, 3, 2, 3, 2, 2, 1, 2, 2, 3, 0, 3, 2, + 2, 0, 3, 2, 3, 2, 0, 0, 1, 2, 0, 0, 2, 0, 0, 3, 3, 2, 0, 0, + 3, 3, 0, 2, 3, 1, 0, 1, 0, 2, 1, 0, 2, 1, 0, 1, 0, 3, 0, 2, + 2, 3, 0, 0, 2, 1, 0, 1, 0, 0, 0, 2, 2, 3, 2, 0, 3, 3, 2, 1, + 0, 0, 3, 1, 2, 3, 3, 1, 0, 3, 1, 1, 0, 3, 3, 3, 2, 2, 2, 0, + 1, 2, 0, 3, 0, 1, 0, 1, 1, 0, 1, 2, 0, 3, 2, 0, 1, 2, 2, 0, + 2, 0, 0, 1, 0, 3, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 1, 1, 1, 0, + 2, 1, 1, 3, 2, 0, 2, 1, 1, 0, 2, 2, 1, 3, 0, 2, 1, 0, 1, 2, + 0, 1, 3, 2, 3, 2, 1, 0, 2, 0, 2, 2, 3, 1, 1, 3, 2, 3, 2, 2, + 0, 2, 0, 0, 0, 3, 2, 0, 2, 2, 3, 3, 3, 2, 1, 2, 0, 0, 3, 0, + 2, 0, 3, 2, 2, 3, 0, 3, 2, 1, 2, 2, 1, 2, 0, 0, 3, 1, 2, 0, + 2, 3, 2, 2, 1, 1, 1, 3, 3, 3, 3, 3, 1, 3, 0, 1, 3, 2, 2, 1, + 0, 1, 1, 2, 1, 2, 3, 1, 2, 2, 1, 2, 1, 1, 0, 3, 3, 1, 1, 3, + 2, 0, 0, 1, 2, 0, 1, 3, 1, 0, 0, 2, 2, 3, 3, 0, 2, 3, 2, 1, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 3, 3, 3, 1, 3, 0, 3, 1, 1, 2, 2, + 2, 1, 0, 3, 2, 3, 0, 2, 3, 2, 3, 1, 2, 3, 3, 1, 2, 1, 0, 0, + 0, 3, 3, 3, 3, 0, 3, 3, 3, 3, 2, 1, 0, 3, 0, 3, 2, 3, 1, 0, + 0, 1, 3, 1, 0, 2, 2, 3, 1, 0, 2, 1, 1, 3, 1, 1, 3, 1, 2, 1, + 0, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 3, 3, 1, 0, 3, 1, 1, 2, 0, + 0, 0, 2, 3, 3, 2, 2, 3, 0, 2, 3, 1, 3, 3, 0, 2, 1, 2, 2, 2, + 1, 0, 1, 3, 2, 3, 1, 1, 2, 1, 1, 0, 0, 2, 3, 2, 1, 0, 3, 1, + 3, 0, 1, 1, 2, 2, 1, 3, 3, 1, 1, 0, 0, 3, 3, 0, 0, 0, 0, 0, + 3, 1, 3, 0, 0, 0, 3, 3, 2, 1, 3, 0, 1, 3, 1, 1, 1, 0, 1, 0, + 1, 2, 2, 2, 3, 3, 0, 2, 3, 2, 1, 3, 3, 1, 1, 3, 0, 3, 3, 2, + 1, 1, 2, 0, 3, 0, 1, 2, 1, 1, 0, 0, 1, 2, 2, 0, 3, 1, 1, 1, + 3, 3, 3, 1, 0, 3, 3, 2, 2, 2, 1, 2, 0, 1, 1, 3, 0, 3, 1, 0, + 2, 2, 0, 1, 2, 3, 2, 1, 2, 0, 3, 2, 1, 3, 0, 1, 2, 0, 3, 0, + 1, 1, 2, 1 +}; + +static data_t verify_data[ARRAY_SIZE] = +{ + 72, 75, 88, 101, 80, 88, 73, 75, 80, 81, 58, 75, 86, 65, 60, 80, 84, 83, 87, 83, + 108, 93, 85, 76, 72, 98, 79, 86, 80, 96, 91, 85, 72, 64, 70, 83, 68, 92, 51, 54, + 85, 85, 60, 58, 90, 64, 55, 69, 72, 48, 94, 77, 91, 83, 70, 69, 67, 77, 59, 50, + 67, 74, 77, 67, 67, 62, 72, 71, 68, 79, 54, 61, 67, 61, 55, 62, 78, 60, 53, 64, + 67, 69, 99, 68, 88, 60, 66, 63, 70, 62, 65, 50, 53, 66, 70, 72, 75, 78, 85, 95, + 71, 89, 70, 68, 86, 88, 58, 77, 84, 70, 65, 68, 73, 75, 91, 96, 105, 92, 76, 68, + 86, 69, 80, 59, 73, 83, 88, 75, 64, 63, 71, 99, 77, 77, 69, 55, 80, 73, 54, 73, + 87, 78, 60, 69, 65, 78, 86, 89, 95, 92, 63, 69, 89, 61, 80, 65, 70, 77, 89, 77, + 79, 79, 73, 92, 64, 81, 60, 78, 81, 80, 61, 63, 89, 65, 56, 83, 77, 65, 102, 70, + 98, 86, 96, 68, 72, 89, 73, 73, 70, 89, 84, 76, 48, 61, 63, 70, 70, 79, 50, 53, + 64, 63, 43, 51, 59, 62, 43, 63, 55, 77, 79, 74, 75, 74, 64, 44, 65, 69, 72, 66, + 54, 71, 74, 72, 69, 76, 68, 89, 94, 75, 65, 53, 85, 79, 65, 74, 82, 73, 58, 70, + 84, 77, 99, 72, 92, 84, 78, 62, 59, 83, 71, 74, 63, 85, 80, 78, 71, 72, 79, 83, + 73, 82, 60, 85, 76, 82, 60, 70, 82, 68, 54, 85, 84, 70, 86, 74, 100, 88, 98, 68, + 67, 87, 69, 73, 68, 88, 76, 71, 47, 43, 47, 80, 54, 65, 40, 37, 59, 53, 33, 48, + 62, 40, 36, 55, 36, 62, 53, 57, 70, 69, 45, 43, 53, 61, 42, 57, 56, 63, 51, 47, + 59, 75, 64, 89, 83, 75, 59, 75, 91, 92, 58, 64, 83, 74, 58, 60, 76, 66, 97, 69, + 90, 95, 92, 64, 78, 75, 77, 73, 65, 78, 82, 75, 47, 54, 59, 71, 59, 56, 53, 42, + 60, 55, 40, 51, 60, 46, 36, 59, 46, 57, 67, 43, 51, 53, 53, 38, 54, 56, 55, 48, + 41, 46, 63, 63, 80, 77, 89, 102, 89, 98, 74, 86, 98, 93, 63, 76, 98, 77, 48, 101, + 86, 88, 100, 82, 102, 90, 95, 75, 86, 103, 83, 98, 80, 104, 98, 86, 71, 74, 80, 90, + 86, 87, 73, 70, 81, 83, 55, 66, 90, 66, 58, 84, 77, 84, 93, 72, 99, 75, 85, 65, + 70, 89, 71, 82, 64, 79, 82, 80, 67, 73, 86, 101, 78, 97, 66, 64, 84, 80, 55, 64, + 79, 73, 51, 79, 89, 68, 94, 77, 109, 102, 82, 61, 66, 93, 88, 70, 82, 82, 85, 69, + 69, 72, 66, 97, 85, 90, 70, 59, 76, 89, 53, 56, 90, 79, 71, 64, 70, 67, 100, 92, + 106, 89, 83, 78, 73, 80, 70, 72, 65, 70, 92, 88, 57, 76, 55, 85, 66, 80, 61, 63, + 63, 78, 54, 58, 71, 73, 54, 63, 63, 62, 89, 76, 86, 81, 83, 54, 70, 81, 78, 64, + 56, 72, 74, 81, 75, 63, 68, 89, 65, 77, 58, 68, 75, 83, 52, 62, 82, 63, 55, 75, + 51, 70, 95, 66, 83, 77, 86, 61, 64, 77, 48, 70, 66, 82, 72, 75, 79, 71, 72, 89, + 78, 78, 66, 59, 91, 80, 55, 64, 79, 68, 54, 71, 67, 75, 87, 84, 100, 101, 76, 58, + 74, 82, 61, 74, 75, 97, 85, 79, 61, 55, 69, 68, 72, 65, 52, 64, 80, 73, 48, 54, + 71, 66, 42, 61, 66, 63, 92, 64, 85, 77, 73, 54, 74, 73, 76, 66, 62, 79, 85, 70, + 71, 84, 87, 81, 88, 86, 77, 77, 93, 88, 78, 71, 101, 89, 58, 84, 95, 81, 89, 97, + 104, 79, 83, 76, 90, 81, 91, 74, 70, 76, 91, 80, 51, 48, 56, 69, 47, 63, 54, 42, + 63, 63, 42, 52, 66, 56, 39, 59, 61, 52, 59, 63, 62, 68, 57, 35, 67, 58, 56, 52, + 61, 63, 60, 47, 85, 75, 89, 106, 88, 95, 74, 82, 107, 107, 64, 78, 98, 90, 62, 91, + 79, 87, 111, 84, 104, 106, 96, 68, 94, 99, 81, 89, 79, 105, 95, 86, 65, 63, 77, 89, + 66, 88, 56, 73, 82, 92, 41, 62, 85, 66, 50, 81, 57, 71, 77, 78, 86, 89, 77, 53, + 67, 78, 61, 63, 72, 82, 69, 66, 59, 46, 55, 70, 56, 64, 45, 50, 65, 64, 42, 56, + 78, 49, 51, 52, 38, 56, 72, 55, 73, 72, 61, 50, 63, 60, 47, 57, 55, 73, 53, 68, + 85, 88, 91, 96, 82, 89, 73, 76, 87, 86, 67, 69, 96, 84, 57, 89, 87, 89, 99, 88, + 104, 90, 85, 75, 88, 92, 85, 75, 74, 87, 103, 94, 55, 48, 56, 65, 72, 50, 45, 51, + 63, 62, 47, 57, 79, 53, 36, 63, 54, 68, 71, 59, 63, 61, 63, 41, 50, 73, 57, 59, + 56, 76, 73, 65, 61, 64, 61, 79, 53, 73, 57, 44, 61, 59, 59, 56, 81, 59, 49, 62, + 65, 55, 69, 72, 79, 70, 58, 57, 68, 61, 62, 50, 57, 60, 66, 66, 63, 77, 81, 89, + 85, 81, 76, 73, 78, 95, 59, 70, 81, 77, 46, 79, 78, 79, 83, 81, 84, 82, 85, 48, + 74, 85, 85, 74, 74, 80, 80, 74, 60, 76, 80, 97, 88, 93, 66, 66, 73, 84, 56, 70, + 90, 63, 58, 78, 73, 93, 90, 78, 94, 88, 82, 67, 85, 70, 81, 86, 74, 82, 88, 82, + 68, 73, 75, 91, 78, 97, 71, 66, 74, 85, 50, 59, 86, 77, 70, 74, 75, 74, 99, 82, + 99, 91, 86, 65, 80, 77, 72, 69, 60, 78, 90, 87, 79, 69, 74, 98, 70, 86, 81, 67, + 69, 78, 48, 65, 88, 70, 70, 70, 69, 72, 96, 90, 99, 82, 81, 76, 98, 73, 74, 71, + 69, 73, 94, 89 +}; + diff --git a/mt/ab_matmul/matmul_gendata.pl b/mt/ab_matmul/matmul_gendata.pl new file mode 100755 index 0000000..f21bb46 --- /dev/null +++ b/mt/ab_matmul/matmul_gendata.pl @@ -0,0 +1,200 @@ +#!/usr/bin/perl -w +#========================================================================== +# matmul_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the matmul benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: matmul_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[ARRAY_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3d",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + + + +#-------------------------------------------------------------------------- +# Matmul +#-------------------------------------------------------------------------- + +# http://answers.oreilly.com/topic/418-how-to-multiply-matrices-in-perl/ + +sub mmult { + my ($m1,$m2) = @_; + my ($m1rows,$m1cols) = matdim($m1); + my ($m2rows,$m2cols) = matdim($m2); + + my $result = [ ]; + my ($i, $j, $k); + + for $i (range($m1rows)) { + for $j (range($m2cols)) { + for $k (range($m1cols)) { + $result->[$i][$j] += $m1->[$i][$k] * $m2->[$k][$j]; + } + } + } + return $result; +} + +sub range { 0 .. ($_[0] - 1) } + + +sub veclen { + my $ary_ref = $_[0]; + my $type = ref $ary_ref; + if ($type ne "ARRAY") { die "$type is bad array ref for $ary_ref" } + return scalar(@$ary_ref); +} + +sub matdim { + my $matrix = $_[0]; + my $rows = veclen($matrix); + my $cols = veclen($matrix->[0]); + return ($rows, $cols); +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + # create random input arrays + my $mat_values1; + my $mat_values2; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + $mat_values1->[$i][$j] = int(rand(4)); + $mat_values2->[$i][$j] = int(rand(4)); + } + } + + # perform matmul + my $mat_results = mmult( $mat_values1, $mat_values2 ); + + # translate 2d arrays to 1d-somethings (I don't know how to code in perl - Chris) + my @values1; + my @values2; + my @results; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + my $value1 = $mat_values1->[$i][$j]; + my $value2 = $mat_values2->[$i][$j]; + my $result = $mat_results->[$i][$j]; + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @results, $result ); + } + } + + print "\n\#define ARRAY_SIZE ".($opts{"size"}*$opts{"size"})." \n\n"; + print "\n\#define DIM_SIZE ".$opts{"size"}." \n\n"; + + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@results); + +} + +main(); + diff --git a/mt/ab_matmul/matmul_mi.c b/mt/ab_matmul/matmul_mi.c new file mode 100755 index 0000000..0cd1bf5 --- /dev/null +++ b/mt/ab_matmul/matmul_mi.c @@ -0,0 +1,246 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + + // I think I've got a way for this to not need the "shared" state to work nicely, so no MSI version + int i, j, k, lda_over_2; + lda_over_2 = lda/2; + + if(coreid > 1) + return; + // left side of c + if(coreid == 0) + { + // first half of topleft corner + for(i = 0; i < lda_over_2; i++) { + for(j = 0; j < lda_over_2; j++) { + for(k = 0; k < lda_over_2; k++) { + C[i*lda + j] += A[i*lda + k]*B[k*lda + j]; + } + } + } + // second half of topleft corner + for(i = 0; i < lda_over_2; i++) { + for(j = 0; j < lda_over_2; j++) { + for(k = lda_over_2; k < lda; k++) { + C[i*lda + j] += A[i*lda + k]*B[k*lda + j]; + } + } + } + // second half of bottomleft corner + for(i = lda_over_2; i < lda; i++) { + for(j = 0; j < lda_over_2; j++) { + for(k = lda_over_2; k < lda; k++) { + C[i*lda + j] += A[i*lda + k]*B[k*lda + j]; + } + } + } + // first half of bottomleft corner + for(i = lda_over_2; i < lda; i++) { + for(j = 0; j < lda_over_2; j++) { + for(k = 0; k < lda_over_2; k++) { + C[i*lda + j] += A[i*lda + k]*B[k*lda + j]; + } + } + } + } + else // coreid == 1 + { + // first half of bottomright corner + for(i = lda_over_2; i < lda; i++) { + for(j = lda_over_2; j < lda; j++) { + for(k = 0; k < lda_over_2; k++) { + C[i*lda + j] += A[i*lda + k]*B[k*lda + j]; + } + } + } + // second half of bottomright corner + for(i = lda_over_2; i < lda; i++) { + for(j = lda_over_2; j < lda; j++) { + for(k = lda_over_2; k < lda; k++) { + C[i*lda + j] += A[i*lda + k]*B[k*lda + j]; + } + } + } + // second half of topright corner + for(i = 0; i < lda_over_2; i++) { + for(j = lda_over_2; j < lda; j++) { + for(k = lda_over_2; k < lda; k++) { + C[i*lda + j] += A[i*lda + k]*B[k*lda + j]; + } + } + } + // first half of topright corner + for(i = 0; i < lda_over_2; i++) { + for(j = lda_over_2; j < lda; j++) { + for(k = 0; k < lda_over_2; k++) { + C[i*lda + j] += A[i*lda + k]*B[k*lda + j]; + } + } + } + } + + return; +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + +// // Execute the provided, naive matmul +// barrier(); +// stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); +// +// +// // verify +// verify(ARRAY_SIZE, results_data, verify_data); +// +// // clear results from the first trial +// size_t i; +// if (coreid == 0) +// for (i=0; i < ARRAY_SIZE; i++) +// results_data[i] = 0; +// barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/ab_vvadd/ab_vvadd.c b/mt/ab_vvadd/ab_vvadd.c new file mode 100755 index 0000000..47f5e18 --- /dev/null +++ b/mt/ab_vvadd/ab_vvadd.c @@ -0,0 +1,172 @@ +//************************************************************************** +// Vector-vector add benchmark +//-------------------------------------------------------------------------- +// Author : Andrew Waterman +// TA : Christopher Celio +// Student : +// +// This benchmark adds two vectors and writes the results to a +// third vector. The input data (and reference data) should be +// generated using the vvadd_gendata.pl perl script and dumped +// to a file named dataset.h + +// to print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DATA_SIZE, 10*_c/DATA_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %4ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %4ld, correct[%d]= %4ld\n", + i, (long) test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// vvadd function + +//perform in-place vvadd +void __attribute__((noinline)) vvadd(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + size_t i; + + // interleave accesses + for (i = coreid; i < n; i+=ncores) + { + x[i] = x[i] + y[i]; + } +} + +void __attribute__((noinline)) vvadd_opt(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + + size_t i, j; + j = (coreid+1)*n/ncores; + for (i = coreid*n/ncores; i < j; i++) + { + x[i] = x[i] + y[i]; + } +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[DATA_SIZE]; + + // because we're going to perform an in-place vvadd (and we're going to run + // it a couple of times) let's copy the input data to a temporary results + // array + + size_t i; + if (coreid == 0) + { + for (i = 0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + + + // Execute the provided, terrible vvadd + barrier(); + stats(vvadd(DATA_SIZE, results_data, input2_data); barrier()); + + + // verify + verify(DATA_SIZE, results_data, verify_data); + + // reset results from the first trial + if (coreid == 0) + { + for (i=0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + barrier(); + + + // Execute your faster vvadd + barrier(); + stats(vvadd_opt(DATA_SIZE, results_data, input2_data); barrier()); + +#ifdef DEBUG + printArray("results: ", DATA_SIZE, results_data); + printArray("verify : ", DATA_SIZE, verify_data); +#endif + + // verify + verify(DATA_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/ab_vvadd/dataset.h b/mt/ab_vvadd/dataset.h new file mode 100755 index 0000000..ce9f936 --- /dev/null +++ b/mt/ab_vvadd/dataset.h @@ -0,0 +1,165 @@ + +#define DATA_SIZE 1000 + +static data_t input1_data[DATA_SIZE] = +{ + 0.00, 15.00, 10.00, 3.00, 14.00, 6.00, 2.00, 18.00, 11.00, 15.00, 11.00, 0.00, 17.00, 16.00, 7.00, 13.00, 18.00, 2.00, 2.00, 5.00, + 8.00, 5.00, 12.00, 14.00, 6.00, 12.00, 16.00, 7.00, 9.00, 17.00, 10.00, 10.00, 3.00, 5.00, 14.00, 11.00, 9.00, 12.00, 3.00, 1.00, + 5.00, 4.00, 6.00, 17.00, 17.00, 4.00, 17.00, 15.00, 17.00, 18.00, 3.00, 18.00, 10.00, 6.00, 12.00, 12.00, 3.00, 2.00, 16.00, 1.00, + 5.00, 6.00, 2.00, 17.00, 16.00, 5.00, 10.00, 18.00, 14.00, 4.00, 9.00, 9.00, 7.00, 4.00, 8.00, 13.00, 12.00, 6.00, 4.00, 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vvadd_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the vvadd benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: vvadd_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[DATA_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3.2f",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + my @values1; + my @values2; + my @sum; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + my $value1 = int(rand(19)); + my $value2 = int(rand(19)); + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @sum, $value1 + $value2 ); + } + + + print "\n\#define DATA_SIZE ".$opts{"size"}." \n\n"; + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@sum ); + +} + +main(); + diff --git a/mt/ad_matmul/ad_matmul.c b/mt/ad_matmul/ad_matmul.c new file mode 100755 index 0000000..04dd7ef --- /dev/null +++ b/mt/ad_matmul/ad_matmul.c @@ -0,0 +1,196 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + int i, j=0, k, jend=16; + if (coreid != 0) { + j = jend; + jend = jend << 1; + } + for ( ; j < jend; j++ ) + { + int j32 = j << 5; + data_t* Cj32 = C + j32; + for ( k = 0; k < 32; k+=2 ) + { + data_t Aj32k = A[k + j32]; + data_t Aj32k2 = A[k + 1 + j32]; + data_t* Bk32 = B + (k << 5); + data_t* Bk322 = Bk32 + 32; + for ( i = 0; i < 32; i+=4 ) + { + Cj32[i] += Aj32k * Bk32 [i]; + Cj32[i] += Aj32k2 * Bk322 [i]; + Cj32[i+1] += Aj32k * Bk32 [i+1]; + Cj32[i+1] += Aj32k2 * Bk322[i+1]; + Cj32[i+2] += Aj32k * Bk32 [i+2]; + Cj32[i+2] += Aj32k2 * Bk322[i+2]; + Cj32[i+3] += Aj32k * Bk32 [i+3]; + Cj32[i+3] += Aj32k2 * Bk322[i+3]; + } + } + } + + +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + +// // Execute the provided, naive matmul +// barrier(); +// stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); +// +// +// // verify +// verify(ARRAY_SIZE, results_data, verify_data); +// +// // clear results from the first trial +// size_t i; +// if (coreid == 0) +// for (i=0; i < ARRAY_SIZE; i++) +// results_data[i] = 0; +// barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/ad_matmul/dataset.h b/mt/ad_matmul/dataset.h new file mode 100755 index 0000000..dde3ee4 --- /dev/null +++ b/mt/ad_matmul/dataset.h @@ -0,0 +1,174 @@ + +#define ARRAY_SIZE 1024 + + +#define DIM_SIZE 32 + +static data_t input1_data[ARRAY_SIZE] = +{ + 0, 3, 2, 0, 3, 1, 0, 3, 2, 3, 2, 0, 3, 3, 1, 2, 3, 0, 0, 1, + 1, 1, 2, 3, 1, 2, 3, 1, 1, 3, 2, 2, 0, 1, 3, 2, 2, 2, 0, 0, + 1, 0, 1, 3, 3, 0, 3, 3, 3, 3, 0, 3, 2, 1, 2, 2, 0, 0, 3, 0, + 1, 1, 0, 3, 3, 1, 2, 3, 3, 0, 1, 2, 1, 0, 1, 2, 2, 1, 0, 3, + 1, 0, 2, 2, 1, 1, 1, 1, 1, 1, 2, 0, 3, 1, 1, 2, 2, 3, 3, 1, + 3, 2, 0, 0, 0, 3, 3, 3, 2, 1, 2, 3, 1, 0, 0, 0, 0, 1, 2, 2, + 1, 1, 3, 3, 3, 1, 1, 2, 3, 1, 3, 3, 2, 3, 2, 1, 2, 3, 0, 2, + 2, 1, 1, 0, 0, 0, 0, 0, 1, 3, 3, 1, 1, 1, 2, 2, 3, 2, 1, 1, + 1, 1, 3, 0, 2, 2, 1, 3, 2, 1, 2, 2, 1, 3, 1, 3, 1, 3, 2, 3, + 1, 2, 1, 3, 2, 2, 0, 1, 0, 0, 1, 2, 3, 3, 1, 0, 0, 0, 3, 1, + 2, 3, 2, 3, 2, 0, 0, 0, 0, 0, 3, 1, 3, 0, 0, 0, 3, 1, 1, 1, + 1, 2, 1, 2, 3, 2, 0, 0, 2, 2, 3, 0, 3, 0, 0, 3, 0, 3, 1, 3, + 3, 1, 1, 1, 2, 2, 1, 3, 0, 3, 3, 1, 0, 0, 3, 2, 1, 3, 3, 3, + 1, 0, 1, 1, 2, 1, 0, 1, 1, 2, 2, 3, 1, 2, 2, 2, 0, 1, 3, 3, + 3, 2, 2, 1, 0, 1, 2, 0, 1, 1, 1, 1, 2, 3, 2, 2, 3, 3, 0, 0, + 2, 0, 0, 0, 3, 0, 1, 0, 3, 0, 0, 0, 3, 0, 0, 2, 0, 2, 0, 0, + 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 0, 2, 0, 0, 3, 3, 2, 3, 3, 0, + 1, 0, 2, 2, 0, 3, 3, 1, 1, 0, 2, 3, 2, 1, 1, 0, 1, 2, 1, 2, + 2, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 3, 3, 2, 0, 0, 1, 3, 0, 3, + 3, 0, 0, 0, 0, 3, 3, 1, 0, 0, 3, 3, 2, 1, 2, 1, 3, 3, 0, 1, + 3, 0, 2, 3, 1, 3, 3, 3, 3, 3, 0, 1, 1, 3, 0, 2, 2, 3, 1, 2, + 2, 2, 1, 3, 3, 0, 3, 0, 0, 2, 0, 2, 3, 0, 1, 3, 2, 2, 0, 0, + 2, 3, 0, 2, 2, 2, 3, 1, 0, 3, 3, 3, 3, 1, 0, 3, 3, 2, 0, 3, + 2, 0, 3, 0, 2, 0, 0, 2, 2, 1, 0, 2, 3, 1, 1, 1, 1, 2, 3, 3, + 3, 0, 0, 3, 3, 3, 2, 3, 3, 1, 2, 2, 3, 1, 2, 1, 1, 3, 0, 1, + 2, 0, 2, 0, 0, 1, 3, 2, 0, 1, 3, 2, 3, 3, 0, 0, 0, 1, 0, 3, + 3, 2, 2, 2, 1, 1, 2, 2, 1, 3, 2, 0, 1, 3, 2, 0, 2, 1, 3, 0, + 0, 0, 1, 3, 3, 2, 2, 2, 3, 1, 0, 0, 1, 1, 2, 1, 3, 1, 1, 2, + 2, 3, 2, 3, 0, 2, 3, 3, 0, 3, 0, 0, 1, 0, 0, 0, 1, 3, 1, 1, + 2, 3, 2, 1, 1, 2, 2, 2, 3, 0, 1, 1, 2, 1, 2, 0, 2, 3, 1, 3, + 0, 1, 1, 3, 0, 2, 3, 0, 1, 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 2, + 3, 0, 1, 1, 1, 1, 2, 0, 1, 2, 0, 1, 1, 1, 0, 1, 3, 2, 3, 1, + 0, 2, 1, 2, 1, 3, 3, 1, 0, 2, 2, 3, 1, 3, 1, 3, 0, 1, 0, 3, + 0, 3, 2, 0, 3, 3, 3, 0, 3, 2, 2, 2, 1, 3, 0, 0, 1, 1, 3, 0, + 1, 2, 1, 0, 0, 0, 3, 2, 2, 0, 0, 2, 1, 3, 0, 0, 3, 0, 0, 2, + 1, 1, 2, 2, 1, 3, 2, 2, 1, 1, 2, 1, 3, 2, 1, 1, 3, 0, 1, 3, + 3, 2, 2, 1, 0, 3, 2, 2, 2, 3, 0, 1, 3, 3, 2, 3, 0, 3, 2, 3, + 1, 1, 0, 0, 0, 2, 3, 0, 3, 0, 1, 1, 3, 1, 3, 2, 1, 1, 2, 1, + 3, 2, 0, 2, 1, 0, 2, 3, 2, 3, 2, 1, 2, 3, 0, 0, 1, 1, 0, 0, + 2, 1, 0, 1, 2, 2, 2, 2, 0, 3, 3, 1, 0, 0, 0, 0, 3, 1, 1, 0, + 0, 0, 0, 1, 2, 2, 1, 3, 0, 2, 3, 2, 3, 2, 2, 1, 2, 2, 3, 3, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 2, 2, 3, 1, 1, 1, 0, 0, 0, 3, 0, + 1, 0, 3, 1, 1, 3, 0, 1, 2, 2, 0, 0, 3, 3, 3, 3, 2, 1, 0, 0, + 1, 0, 2, 0, 1, 1, 0, 0, 3, 3, 2, 1, 1, 1, 0, 1, 1, 2, 2, 1, + 1, 2, 0, 3, 1, 3, 1, 0, 3, 0, 3, 1, 1, 1, 0, 2, 0, 3, 1, 0, + 1, 0, 2, 0, 2, 3, 3, 3, 1, 2, 3, 2, 2, 0, 1, 1, 0, 3, 3, 1, + 3, 3, 2, 0, 2, 0, 2, 2, 3, 3, 3, 0, 2, 3, 3, 1, 3, 2, 2, 2, + 0, 2, 3, 0, 2, 0, 3, 2, 2, 1, 1, 0, 2, 2, 2, 0, 2, 2, 0, 1, + 3, 2, 1, 3, 2, 2, 0, 3, 3, 1, 2, 2, 0, 0, 3, 2, 1, 2, 2, 1, + 3, 1, 2, 0, 0, 1, 1, 2, 1, 3, 2, 2, 3, 0, 2, 1, 3, 2, 1, 3, + 2, 3, 3, 1, 2, 1, 2, 2, 0, 0, 0, 3, 0, 2, 3, 1, 0, 0, 2, 3, + 3, 2, 2, 1 +}; + +static data_t input2_data[ARRAY_SIZE] = +{ + 1, 1, 0, 3, 1, 2, 0, 0, 0, 0, 0, 2, 1, 2, 3, 0, 0, 3, 3, 2, + 2, 1, 2, 3, 3, 0, 2, 2, 1, 1, 2, 2, 0, 2, 2, 1, 2, 3, 2, 2, + 3, 3, 2, 2, 1, 1, 1, 1, 2, 1, 2, 2, 3, 3, 3, 0, 0, 3, 2, 3, + 2, 3, 1, 2, 1, 1, 2, 2, 0, 1, 0, 3, 2, 1, 1, 1, 2, 0, 1, 2, + 2, 0, 2, 1, 3, 3, 2, 3, 2, 0, 3, 1, 3, 3, 2, 0, 1, 0, 1, 1, + 2, 2, 1, 1, 2, 2, 1, 2, 3, 3, 1, 3, 2, 2, 2, 3, 3, 1, 0, 2, + 1, 0, 0, 0, 1, 1, 2, 0, 3, 2, 3, 3, 0, 2, 3, 1, 0, 0, 2, 1, + 2, 0, 2, 1, 1, 2, 3, 1, 3, 2, 1, 0, 0, 0, 0, 0, 2, 2, 0, 2, + 1, 2, 0, 3, 2, 2, 0, 0, 3, 2, 1, 1, 3, 0, 2, 0, 0, 1, 0, 2, + 3, 3, 1, 3, 3, 0, 0, 2, 2, 0, 0, 0, 1, 0, 0, 1, 3, 0, 2, 1, + 3, 2, 2, 1, 3, 2, 0, 1, 2, 2, 3, 2, 1, 1, 1, 1, 3, 0, 1, 3, + 2, 2, 3, 1, 1, 2, 0, 2, 1, 1, 2, 3, 1, 0, 1, 0, 1, 1, 0, 0, + 2, 0, 3, 0, 3, 0, 3, 2, 2, 3, 3, 2, 1, 0, 2, 2, 1, 1, 0, 3, + 3, 2, 2, 0, 0, 3, 0, 1, 0, 0, 1, 2, 0, 1, 3, 0, 1, 2, 2, 0, + 0, 3, 0, 3, 0, 1, 1, 2, 0, 0, 0, 3, 0, 0, 2, 1, 1, 1, 0, 2, + 1, 3, 1, 2, 0, 3, 0, 3, 1, 3, 0, 0, 2, 2, 2, 2, 3, 3, 2, 1, + 2, 2, 1, 1, 2, 2, 2, 2, 0, 3, 0, 0, 2, 0, 1, 2, 0, 3, 2, 3, + 2, 0, 2, 1, 2, 1, 0, 2, 1, 1, 3, 2, 2, 3, 1, 0, 3, 3, 1, 0, + 3, 2, 2, 0, 0, 3, 0, 0, 2, 0, 3, 2, 3, 1, 1, 0, 0, 2, 3, 0, + 0, 1, 1, 1, 2, 1, 3, 2, 1, 3, 0, 1, 3, 3, 1, 1, 1, 1, 1, 1, + 0, 0, 2, 3, 2, 2, 2, 3, 2, 3, 1, 2, 3, 2, 2, 2, 0, 1, 3, 0, + 1, 1, 0, 1, 0, 1, 1, 3, 3, 1, 2, 2, 3, 2, 0, 2, 2, 0, 1, 3, + 0, 1, 3, 2, 1, 3, 3, 2, 0, 1, 3, 2, 0, 2, 1, 1, 0, 3, 0, 1, + 1, 1, 1, 1, 3, 0, 0, 1, 0, 2, 3, 1, 3, 0, 2, 1, 3, 0, 3, 0, + 3, 2, 2, 0, 0, 2, 1, 3, 3, 2, 3, 2, 2, 1, 2, 2, 3, 0, 3, 2, + 2, 0, 3, 2, 3, 2, 0, 0, 1, 2, 0, 0, 2, 0, 0, 3, 3, 2, 0, 0, + 3, 3, 0, 2, 3, 1, 0, 1, 0, 2, 1, 0, 2, 1, 0, 1, 0, 3, 0, 2, + 2, 3, 0, 0, 2, 1, 0, 1, 0, 0, 0, 2, 2, 3, 2, 0, 3, 3, 2, 1, + 0, 0, 3, 1, 2, 3, 3, 1, 0, 3, 1, 1, 0, 3, 3, 3, 2, 2, 2, 0, + 1, 2, 0, 3, 0, 1, 0, 1, 1, 0, 1, 2, 0, 3, 2, 0, 1, 2, 2, 0, + 2, 0, 0, 1, 0, 3, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 1, 1, 1, 0, + 2, 1, 1, 3, 2, 0, 2, 1, 1, 0, 2, 2, 1, 3, 0, 2, 1, 0, 1, 2, + 0, 1, 3, 2, 3, 2, 1, 0, 2, 0, 2, 2, 3, 1, 1, 3, 2, 3, 2, 2, + 0, 2, 0, 0, 0, 3, 2, 0, 2, 2, 3, 3, 3, 2, 1, 2, 0, 0, 3, 0, + 2, 0, 3, 2, 2, 3, 0, 3, 2, 1, 2, 2, 1, 2, 0, 0, 3, 1, 2, 0, + 2, 3, 2, 2, 1, 1, 1, 3, 3, 3, 3, 3, 1, 3, 0, 1, 3, 2, 2, 1, + 0, 1, 1, 2, 1, 2, 3, 1, 2, 2, 1, 2, 1, 1, 0, 3, 3, 1, 1, 3, + 2, 0, 0, 1, 2, 0, 1, 3, 1, 0, 0, 2, 2, 3, 3, 0, 2, 3, 2, 1, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 3, 3, 3, 1, 3, 0, 3, 1, 1, 2, 2, + 2, 1, 0, 3, 2, 3, 0, 2, 3, 2, 3, 1, 2, 3, 3, 1, 2, 1, 0, 0, + 0, 3, 3, 3, 3, 0, 3, 3, 3, 3, 2, 1, 0, 3, 0, 3, 2, 3, 1, 0, + 0, 1, 3, 1, 0, 2, 2, 3, 1, 0, 2, 1, 1, 3, 1, 1, 3, 1, 2, 1, + 0, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 3, 3, 1, 0, 3, 1, 1, 2, 0, + 0, 0, 2, 3, 3, 2, 2, 3, 0, 2, 3, 1, 3, 3, 0, 2, 1, 2, 2, 2, + 1, 0, 1, 3, 2, 3, 1, 1, 2, 1, 1, 0, 0, 2, 3, 2, 1, 0, 3, 1, + 3, 0, 1, 1, 2, 2, 1, 3, 3, 1, 1, 0, 0, 3, 3, 0, 0, 0, 0, 0, + 3, 1, 3, 0, 0, 0, 3, 3, 2, 1, 3, 0, 1, 3, 1, 1, 1, 0, 1, 0, + 1, 2, 2, 2, 3, 3, 0, 2, 3, 2, 1, 3, 3, 1, 1, 3, 0, 3, 3, 2, + 1, 1, 2, 0, 3, 0, 1, 2, 1, 1, 0, 0, 1, 2, 2, 0, 3, 1, 1, 1, + 3, 3, 3, 1, 0, 3, 3, 2, 2, 2, 1, 2, 0, 1, 1, 3, 0, 3, 1, 0, + 2, 2, 0, 1, 2, 3, 2, 1, 2, 0, 3, 2, 1, 3, 0, 1, 2, 0, 3, 0, + 1, 1, 2, 1 +}; + +static data_t verify_data[ARRAY_SIZE] = +{ + 72, 75, 88, 101, 80, 88, 73, 75, 80, 81, 58, 75, 86, 65, 60, 80, 84, 83, 87, 83, + 108, 93, 85, 76, 72, 98, 79, 86, 80, 96, 91, 85, 72, 64, 70, 83, 68, 92, 51, 54, + 85, 85, 60, 58, 90, 64, 55, 69, 72, 48, 94, 77, 91, 83, 70, 69, 67, 77, 59, 50, + 67, 74, 77, 67, 67, 62, 72, 71, 68, 79, 54, 61, 67, 61, 55, 62, 78, 60, 53, 64, + 67, 69, 99, 68, 88, 60, 66, 63, 70, 62, 65, 50, 53, 66, 70, 72, 75, 78, 85, 95, + 71, 89, 70, 68, 86, 88, 58, 77, 84, 70, 65, 68, 73, 75, 91, 96, 105, 92, 76, 68, + 86, 69, 80, 59, 73, 83, 88, 75, 64, 63, 71, 99, 77, 77, 69, 55, 80, 73, 54, 73, + 87, 78, 60, 69, 65, 78, 86, 89, 95, 92, 63, 69, 89, 61, 80, 65, 70, 77, 89, 77, + 79, 79, 73, 92, 64, 81, 60, 78, 81, 80, 61, 63, 89, 65, 56, 83, 77, 65, 102, 70, + 98, 86, 96, 68, 72, 89, 73, 73, 70, 89, 84, 76, 48, 61, 63, 70, 70, 79, 50, 53, + 64, 63, 43, 51, 59, 62, 43, 63, 55, 77, 79, 74, 75, 74, 64, 44, 65, 69, 72, 66, + 54, 71, 74, 72, 69, 76, 68, 89, 94, 75, 65, 53, 85, 79, 65, 74, 82, 73, 58, 70, + 84, 77, 99, 72, 92, 84, 78, 62, 59, 83, 71, 74, 63, 85, 80, 78, 71, 72, 79, 83, + 73, 82, 60, 85, 76, 82, 60, 70, 82, 68, 54, 85, 84, 70, 86, 74, 100, 88, 98, 68, + 67, 87, 69, 73, 68, 88, 76, 71, 47, 43, 47, 80, 54, 65, 40, 37, 59, 53, 33, 48, + 62, 40, 36, 55, 36, 62, 53, 57, 70, 69, 45, 43, 53, 61, 42, 57, 56, 63, 51, 47, + 59, 75, 64, 89, 83, 75, 59, 75, 91, 92, 58, 64, 83, 74, 58, 60, 76, 66, 97, 69, + 90, 95, 92, 64, 78, 75, 77, 73, 65, 78, 82, 75, 47, 54, 59, 71, 59, 56, 53, 42, + 60, 55, 40, 51, 60, 46, 36, 59, 46, 57, 67, 43, 51, 53, 53, 38, 54, 56, 55, 48, + 41, 46, 63, 63, 80, 77, 89, 102, 89, 98, 74, 86, 98, 93, 63, 76, 98, 77, 48, 101, + 86, 88, 100, 82, 102, 90, 95, 75, 86, 103, 83, 98, 80, 104, 98, 86, 71, 74, 80, 90, + 86, 87, 73, 70, 81, 83, 55, 66, 90, 66, 58, 84, 77, 84, 93, 72, 99, 75, 85, 65, + 70, 89, 71, 82, 64, 79, 82, 80, 67, 73, 86, 101, 78, 97, 66, 64, 84, 80, 55, 64, + 79, 73, 51, 79, 89, 68, 94, 77, 109, 102, 82, 61, 66, 93, 88, 70, 82, 82, 85, 69, + 69, 72, 66, 97, 85, 90, 70, 59, 76, 89, 53, 56, 90, 79, 71, 64, 70, 67, 100, 92, + 106, 89, 83, 78, 73, 80, 70, 72, 65, 70, 92, 88, 57, 76, 55, 85, 66, 80, 61, 63, + 63, 78, 54, 58, 71, 73, 54, 63, 63, 62, 89, 76, 86, 81, 83, 54, 70, 81, 78, 64, + 56, 72, 74, 81, 75, 63, 68, 89, 65, 77, 58, 68, 75, 83, 52, 62, 82, 63, 55, 75, + 51, 70, 95, 66, 83, 77, 86, 61, 64, 77, 48, 70, 66, 82, 72, 75, 79, 71, 72, 89, + 78, 78, 66, 59, 91, 80, 55, 64, 79, 68, 54, 71, 67, 75, 87, 84, 100, 101, 76, 58, + 74, 82, 61, 74, 75, 97, 85, 79, 61, 55, 69, 68, 72, 65, 52, 64, 80, 73, 48, 54, + 71, 66, 42, 61, 66, 63, 92, 64, 85, 77, 73, 54, 74, 73, 76, 66, 62, 79, 85, 70, + 71, 84, 87, 81, 88, 86, 77, 77, 93, 88, 78, 71, 101, 89, 58, 84, 95, 81, 89, 97, + 104, 79, 83, 76, 90, 81, 91, 74, 70, 76, 91, 80, 51, 48, 56, 69, 47, 63, 54, 42, + 63, 63, 42, 52, 66, 56, 39, 59, 61, 52, 59, 63, 62, 68, 57, 35, 67, 58, 56, 52, + 61, 63, 60, 47, 85, 75, 89, 106, 88, 95, 74, 82, 107, 107, 64, 78, 98, 90, 62, 91, + 79, 87, 111, 84, 104, 106, 96, 68, 94, 99, 81, 89, 79, 105, 95, 86, 65, 63, 77, 89, + 66, 88, 56, 73, 82, 92, 41, 62, 85, 66, 50, 81, 57, 71, 77, 78, 86, 89, 77, 53, + 67, 78, 61, 63, 72, 82, 69, 66, 59, 46, 55, 70, 56, 64, 45, 50, 65, 64, 42, 56, + 78, 49, 51, 52, 38, 56, 72, 55, 73, 72, 61, 50, 63, 60, 47, 57, 55, 73, 53, 68, + 85, 88, 91, 96, 82, 89, 73, 76, 87, 86, 67, 69, 96, 84, 57, 89, 87, 89, 99, 88, + 104, 90, 85, 75, 88, 92, 85, 75, 74, 87, 103, 94, 55, 48, 56, 65, 72, 50, 45, 51, + 63, 62, 47, 57, 79, 53, 36, 63, 54, 68, 71, 59, 63, 61, 63, 41, 50, 73, 57, 59, + 56, 76, 73, 65, 61, 64, 61, 79, 53, 73, 57, 44, 61, 59, 59, 56, 81, 59, 49, 62, + 65, 55, 69, 72, 79, 70, 58, 57, 68, 61, 62, 50, 57, 60, 66, 66, 63, 77, 81, 89, + 85, 81, 76, 73, 78, 95, 59, 70, 81, 77, 46, 79, 78, 79, 83, 81, 84, 82, 85, 48, + 74, 85, 85, 74, 74, 80, 80, 74, 60, 76, 80, 97, 88, 93, 66, 66, 73, 84, 56, 70, + 90, 63, 58, 78, 73, 93, 90, 78, 94, 88, 82, 67, 85, 70, 81, 86, 74, 82, 88, 82, + 68, 73, 75, 91, 78, 97, 71, 66, 74, 85, 50, 59, 86, 77, 70, 74, 75, 74, 99, 82, + 99, 91, 86, 65, 80, 77, 72, 69, 60, 78, 90, 87, 79, 69, 74, 98, 70, 86, 81, 67, + 69, 78, 48, 65, 88, 70, 70, 70, 69, 72, 96, 90, 99, 82, 81, 76, 98, 73, 74, 71, + 69, 73, 94, 89 +}; + diff --git a/mt/ad_matmul/matmul_gendata.pl b/mt/ad_matmul/matmul_gendata.pl new file mode 100755 index 0000000..f21bb46 --- /dev/null +++ b/mt/ad_matmul/matmul_gendata.pl @@ -0,0 +1,200 @@ +#!/usr/bin/perl -w +#========================================================================== +# matmul_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the matmul benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: matmul_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[ARRAY_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3d",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + + + +#-------------------------------------------------------------------------- +# Matmul +#-------------------------------------------------------------------------- + +# http://answers.oreilly.com/topic/418-how-to-multiply-matrices-in-perl/ + +sub mmult { + my ($m1,$m2) = @_; + my ($m1rows,$m1cols) = matdim($m1); + my ($m2rows,$m2cols) = matdim($m2); + + my $result = [ ]; + my ($i, $j, $k); + + for $i (range($m1rows)) { + for $j (range($m2cols)) { + for $k (range($m1cols)) { + $result->[$i][$j] += $m1->[$i][$k] * $m2->[$k][$j]; + } + } + } + return $result; +} + +sub range { 0 .. ($_[0] - 1) } + + +sub veclen { + my $ary_ref = $_[0]; + my $type = ref $ary_ref; + if ($type ne "ARRAY") { die "$type is bad array ref for $ary_ref" } + return scalar(@$ary_ref); +} + +sub matdim { + my $matrix = $_[0]; + my $rows = veclen($matrix); + my $cols = veclen($matrix->[0]); + return ($rows, $cols); +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + # create random input arrays + my $mat_values1; + my $mat_values2; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + $mat_values1->[$i][$j] = int(rand(4)); + $mat_values2->[$i][$j] = int(rand(4)); + } + } + + # perform matmul + my $mat_results = mmult( $mat_values1, $mat_values2 ); + + # translate 2d arrays to 1d-somethings (I don't know how to code in perl - Chris) + my @values1; + my @values2; + my @results; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + my $value1 = $mat_values1->[$i][$j]; + my $value2 = $mat_values2->[$i][$j]; + my $result = $mat_results->[$i][$j]; + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @results, $result ); + } + } + + print "\n\#define ARRAY_SIZE ".($opts{"size"}*$opts{"size"})." \n\n"; + print "\n\#define DIM_SIZE ".$opts{"size"}." \n\n"; + + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@results); + +} + +main(); + diff --git a/mt/ad_matmul/matmul_mi.c b/mt/ad_matmul/matmul_mi.c new file mode 100755 index 0000000..04dd7ef --- /dev/null +++ b/mt/ad_matmul/matmul_mi.c @@ -0,0 +1,196 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + int i, j=0, k, jend=16; + if (coreid != 0) { + j = jend; + jend = jend << 1; + } + for ( ; j < jend; j++ ) + { + int j32 = j << 5; + data_t* Cj32 = C + j32; + for ( k = 0; k < 32; k+=2 ) + { + data_t Aj32k = A[k + j32]; + data_t Aj32k2 = A[k + 1 + j32]; + data_t* Bk32 = B + (k << 5); + data_t* Bk322 = Bk32 + 32; + for ( i = 0; i < 32; i+=4 ) + { + Cj32[i] += Aj32k * Bk32 [i]; + Cj32[i] += Aj32k2 * Bk322 [i]; + Cj32[i+1] += Aj32k * Bk32 [i+1]; + Cj32[i+1] += Aj32k2 * Bk322[i+1]; + Cj32[i+2] += Aj32k * Bk32 [i+2]; + Cj32[i+2] += Aj32k2 * Bk322[i+2]; + Cj32[i+3] += Aj32k * Bk32 [i+3]; + Cj32[i+3] += Aj32k2 * Bk322[i+3]; + } + } + } + + +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + +// // Execute the provided, naive matmul +// barrier(); +// stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); +// +// +// // verify +// verify(ARRAY_SIZE, results_data, verify_data); +// +// // clear results from the first trial +// size_t i; +// if (coreid == 0) +// for (i=0; i < ARRAY_SIZE; i++) +// results_data[i] = 0; +// barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/ad_vvadd/ad_vvadd.c b/mt/ad_vvadd/ad_vvadd.c new file mode 100755 index 0000000..2dfd2bd --- /dev/null +++ b/mt/ad_vvadd/ad_vvadd.c @@ -0,0 +1,176 @@ +//************************************************************************** +// Vector-vector add benchmark +//-------------------------------------------------------------------------- +// Author : Andrew Waterman +// TA : Christopher Celio +// Student : +// +// This benchmark adds two vectors and writes the results to a +// third vector. The input data (and reference data) should be +// generated using the vvadd_gendata.pl perl script and dumped +// to a file named dataset.h + +// to print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DATA_SIZE, 10*_c/DATA_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %4ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %4ld, correct[%d]= %4ld\n", + i, (long) test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// vvadd function + +//perform in-place vvadd +void __attribute__((noinline)) vvadd(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + size_t i; + + // interleave accesses + for (i = coreid; i < n; i+=ncores) + { + x[i] = x[i] + y[i]; + } +} + +void __attribute__((noinline)) vvadd_opt(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + size_t i; + size_t m = n/2; + if (coreid == 0) { + for (i = 0; i < m; i++) { + x[i] = x[i] + y[i]; + } + } else { + for (i = m; i < n; i++) { + x[i] = x[i] + y[i]; + } + } +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[DATA_SIZE]; + + // because we're going to perform an in-place vvadd (and we're going to run + // it a couple of times) let's copy the input data to a temporary results + // array + + size_t i; + if (coreid == 0) + { + for (i = 0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + + + // Execute the provided, terrible vvadd + barrier(); + stats(vvadd(DATA_SIZE, results_data, input2_data); barrier()); + + + // verify + verify(DATA_SIZE, results_data, verify_data); + + // reset results from the first trial + if (coreid == 0) + { + for (i=0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + barrier(); + + + // Execute your faster vvadd + barrier(); + stats(vvadd_opt(DATA_SIZE, results_data, input2_data); barrier()); + +#ifdef DEBUG + printArray("results: ", DATA_SIZE, results_data); + printArray("verify : ", DATA_SIZE, verify_data); +#endif + + // verify + verify(DATA_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/ad_vvadd/dataset.h b/mt/ad_vvadd/dataset.h new file mode 100755 index 0000000..ce9f936 --- /dev/null +++ b/mt/ad_vvadd/dataset.h @@ -0,0 +1,165 @@ + +#define DATA_SIZE 1000 + +static data_t input1_data[DATA_SIZE] = +{ + 0.00, 15.00, 10.00, 3.00, 14.00, 6.00, 2.00, 18.00, 11.00, 15.00, 11.00, 0.00, 17.00, 16.00, 7.00, 13.00, 18.00, 2.00, 2.00, 5.00, + 8.00, 5.00, 12.00, 14.00, 6.00, 12.00, 16.00, 7.00, 9.00, 17.00, 10.00, 10.00, 3.00, 5.00, 14.00, 11.00, 9.00, 12.00, 3.00, 1.00, + 5.00, 4.00, 6.00, 17.00, 17.00, 4.00, 17.00, 15.00, 17.00, 18.00, 3.00, 18.00, 10.00, 6.00, 12.00, 12.00, 3.00, 2.00, 16.00, 1.00, + 5.00, 6.00, 2.00, 17.00, 16.00, 5.00, 10.00, 18.00, 14.00, 4.00, 9.00, 9.00, 7.00, 4.00, 8.00, 13.00, 12.00, 6.00, 4.00, 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12.00, 11.00, 17.00, 4.00, 13.00, 7.00, 16.00, 12.00, 7.00, 18.00 +}; + +static data_t input2_data[DATA_SIZE] = +{ + 8.00, 6.00, 0.00, 18.00, 6.00, 10.00, 1.00, 2.00, 4.00, 2.00, 4.00, 10.00, 6.00, 11.00, 17.00, 4.00, 0.00, 16.00, 14.00, 12.00, + 9.00, 8.00, 13.00, 15.00, 18.00, 2.00, 13.00, 10.00, 5.00, 4.00, 12.00, 9.00, 1.00, 13.00, 12.00, 7.00, 10.00, 17.00, 11.00, 10.00, + 18.00, 15.00, 11.00, 12.00, 7.00, 9.00, 6.00, 5.00, 11.00, 7.00, 10.00, 12.00, 18.00, 18.00, 15.00, 1.00, 3.00, 18.00, 11.00, 16.00, + 13.00, 18.00, 4.00, 13.00, 8.00, 7.00, 10.00, 13.00, 0.00, 9.00, 1.00, 16.00, 13.00, 7.00, 5.00, 5.00, 11.00, 1.00, 6.00, 10.00, + 12.00, 3.00, 10.00, 5.00, 15.00, 15.00, 13.00, 14.00, 14.00, 1.00, 18.00, 5.00, 16.00, 14.00, 10.00, 4.00, 8.00, 4.00, 6.00, 6.00, + 13.00, 14.00, 8.00, 5.00, 14.00, 10.00, 9.00, 10.00, 17.00, 15.00, 6.00, 16.00, 12.00, 9.00, 10.00, 16.00, 16.00, 8.00, 1.00, 12.00, + 7.00, 0.00, 0.00, 3.00, 5.00, 7.00, 10.00, 3.00, 17.00, 10.00, 18.00, 16.00, 1.00, 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22.00, 10.00, + 24.00, 2.00, 17.00, 9.00, 22.00, 30.00, 24.00, 33.00, 25.00, 17.00, 23.00, 9.00, 13.00, 15.00, 23.00, 10.00, 1.00, 22.00, 17.00, 10.00, + 32.00, 24.00, 26.00, 4.00, 15.00, 0.00, 27.00, 23.00, 28.00, 23.00, 30.00, 7.00, 16.00, 33.00, 20.00, 14.00, 23.00, 14.00, 20.00, 14.00, + 7.00, 25.00, 24.00, 12.00, 29.00, 16.00, 17.00, 20.00, 29.00, 16.00, 13.00, 18.00, 26.00, 18.00, 18.00, 17.00, 13.00, 29.00, 14.00, 17.00, + 24.00, 16.00, 21.00, 14.00, 26.00, 9.00, 11.00, 28.00, 25.00, 15.00, 15.00, 12.00, 6.00, 14.00, 27.00, 14.00, 24.00, 18.00, 18.00, 14.00, + 32.00, 21.00, 26.00, 13.00, 6.00, 24.00, 22.00, 27.00, 17.00, 26.00, 19.00, 21.00, 19.00, 9.00, 21.00, 25.00, 17.00, 27.00, 15.00, 18.00 +}; + diff --git a/mt/ad_vvadd/vvadd_gendata.pl b/mt/ad_vvadd/vvadd_gendata.pl new file mode 100755 index 0000000..a9fceac --- /dev/null +++ b/mt/ad_vvadd/vvadd_gendata.pl @@ -0,0 +1,139 @@ +#!/usr/bin/perl -w +#========================================================================== +# vvadd_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the vvadd benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: vvadd_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[DATA_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3.2f",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + my @values1; + my @values2; + my @sum; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + my $value1 = int(rand(19)); + my $value2 = int(rand(19)); + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @sum, $value1 + $value2 ); + } + + + print "\n\#define DATA_SIZE ".$opts{"size"}." \n\n"; + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@sum ); + +} + +main(); + diff --git a/mt/ae_matmul/ae_matmul.c b/mt/ae_matmul/ae_matmul.c new file mode 100755 index 0000000..7d4ad80 --- /dev/null +++ b/mt/ae_matmul/ae_matmul.c @@ -0,0 +1,263 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + + + + data_t *b1; + data_t *b2; + data_t *b3; + data_t *b4; + data_t c1; + data_t c2; + data_t c3; + data_t c4; + data_t a1; + data_t a2; + data_t a3; + data_t a4; + data_t a5; + data_t a6; + data_t a7; + data_t a8; + int i, j, k; + static data_t BB[1024]; + + + + //transpose B + if (coreid == 0 | coreid == 1) { + for ( k = 0; k < lda; k++) { + for ( i = coreid*(lda/2); i < (coreid+1)*(lda/2); i++ ) { + BB[i*lda + k] = B[k*lda + i]; + } + } + } + barrier(); + + for ( i = 0; i < lda; i+=4 ) { + for ( j = coreid*(lda/ncores); j < (coreid+1)*(lda/ncores); j++ ) { + c1 = 0; c2 = 0; c3 = 0; c4 = 0; + b1 = &BB[(i+0)*lda]; + b2 = &BB[(i+1)*lda]; + b3 = &BB[(i+2)*lda]; + b4 = &BB[(i+3)*lda]; + for ( k = 0; k < lda; k+=8 ) { + + a1 = A[j*lda + k+0]; + a2 = A[j*lda + k+1]; + a3 = A[j*lda + k+2]; + a4 = A[j*lda + k+3]; + a5 = A[j*lda + k+4]; + a6 = A[j*lda + k+5]; + a7 = A[j*lda + k+6]; + a8 = A[j*lda + k+7]; + + c1 += a1 * b1[k+0]; + c1 += a2 * b1[k+1]; + c1 += a3 * b1[k+2]; + c1 += a4 * b1[k+3]; + c1 += a5 * b1[k+4]; + c1 += a6 * b1[k+5]; + c1 += a7 * b1[k+6]; + c1 += a8 * b1[k+7]; + + c2 += a1 * b2[k+0]; + c2 += a2 * b2[k+1]; + c2 += a3 * b2[k+2]; + c2 += a4 * b2[k+3]; + c2 += a5 * b2[k+4]; + c2 += a6 * b2[k+5]; + c2 += a7 * b2[k+6]; + c2 += a8 * b2[k+7]; + + c3 += a1 * b3[k+0]; + c3 += a2 * b3[k+1]; + c3 += a3 * b3[k+2]; + c3 += a4 * b3[k+3]; + c3 += a5 * b3[k+4]; + c3 += a6 * b3[k+5]; + c3 += a7 * b3[k+6]; + c3 += a8 * b3[k+7]; + + c4 += a1 * b4[k+0]; + c4 += a2 * b4[k+1]; + c4 += a3 * b4[k+2]; + c4 += a4 * b4[k+3]; + c4 += a5 * b4[k+4]; + c4 += a6 * b4[k+5]; + c4 += a7 * b4[k+6]; + c4 += a8 * b4[k+7]; + + + } + C[i+0 + j*lda] = c1; + C[i+1 + j*lda] = c2; + C[i+2 + j*lda] = c3; + C[i+3 + j*lda] = c4; + } + } + +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + +/* + // Execute the provided, naive matmul + barrier(); + stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + + // clear results from the first trial + size_t i; + if (coreid == 0) + for (i=0; i < ARRAY_SIZE; i++) + results_data[i] = 0; + barrier(); +*/ + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/ae_matmul/dataset.h b/mt/ae_matmul/dataset.h new file mode 100755 index 0000000..dde3ee4 --- /dev/null +++ b/mt/ae_matmul/dataset.h @@ -0,0 +1,174 @@ + +#define ARRAY_SIZE 1024 + + +#define DIM_SIZE 32 + +static data_t input1_data[ARRAY_SIZE] = +{ + 0, 3, 2, 0, 3, 1, 0, 3, 2, 3, 2, 0, 3, 3, 1, 2, 3, 0, 0, 1, + 1, 1, 2, 3, 1, 2, 3, 1, 1, 3, 2, 2, 0, 1, 3, 2, 2, 2, 0, 0, + 1, 0, 1, 3, 3, 0, 3, 3, 3, 3, 0, 3, 2, 1, 2, 2, 0, 0, 3, 0, + 1, 1, 0, 3, 3, 1, 2, 3, 3, 0, 1, 2, 1, 0, 1, 2, 2, 1, 0, 3, + 1, 0, 2, 2, 1, 1, 1, 1, 1, 1, 2, 0, 3, 1, 1, 2, 2, 3, 3, 1, + 3, 2, 0, 0, 0, 3, 3, 3, 2, 1, 2, 3, 1, 0, 0, 0, 0, 1, 2, 2, + 1, 1, 3, 3, 3, 1, 1, 2, 3, 1, 3, 3, 2, 3, 2, 1, 2, 3, 0, 2, + 2, 1, 1, 0, 0, 0, 0, 0, 1, 3, 3, 1, 1, 1, 2, 2, 3, 2, 1, 1, + 1, 1, 3, 0, 2, 2, 1, 3, 2, 1, 2, 2, 1, 3, 1, 3, 1, 3, 2, 3, + 1, 2, 1, 3, 2, 2, 0, 1, 0, 0, 1, 2, 3, 3, 1, 0, 0, 0, 3, 1, + 2, 3, 2, 3, 2, 0, 0, 0, 0, 0, 3, 1, 3, 0, 0, 0, 3, 1, 1, 1, + 1, 2, 1, 2, 3, 2, 0, 0, 2, 2, 3, 0, 3, 0, 0, 3, 0, 3, 1, 3, + 3, 1, 1, 1, 2, 2, 1, 3, 0, 3, 3, 1, 0, 0, 3, 2, 1, 3, 3, 3, + 1, 0, 1, 1, 2, 1, 0, 1, 1, 2, 2, 3, 1, 2, 2, 2, 0, 1, 3, 3, + 3, 2, 2, 1, 0, 1, 2, 0, 1, 1, 1, 1, 2, 3, 2, 2, 3, 3, 0, 0, + 2, 0, 0, 0, 3, 0, 1, 0, 3, 0, 0, 0, 3, 0, 0, 2, 0, 2, 0, 0, + 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 0, 2, 0, 0, 3, 3, 2, 3, 3, 0, + 1, 0, 2, 2, 0, 3, 3, 1, 1, 0, 2, 3, 2, 1, 1, 0, 1, 2, 1, 2, + 2, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 3, 3, 2, 0, 0, 1, 3, 0, 3, + 3, 0, 0, 0, 0, 3, 3, 1, 0, 0, 3, 3, 2, 1, 2, 1, 3, 3, 0, 1, + 3, 0, 2, 3, 1, 3, 3, 3, 3, 3, 0, 1, 1, 3, 0, 2, 2, 3, 1, 2, + 2, 2, 1, 3, 3, 0, 3, 0, 0, 2, 0, 2, 3, 0, 1, 3, 2, 2, 0, 0, + 2, 3, 0, 2, 2, 2, 3, 1, 0, 3, 3, 3, 3, 1, 0, 3, 3, 2, 0, 3, + 2, 0, 3, 0, 2, 0, 0, 2, 2, 1, 0, 2, 3, 1, 1, 1, 1, 2, 3, 3, + 3, 0, 0, 3, 3, 3, 2, 3, 3, 1, 2, 2, 3, 1, 2, 1, 1, 3, 0, 1, + 2, 0, 2, 0, 0, 1, 3, 2, 0, 1, 3, 2, 3, 3, 0, 0, 0, 1, 0, 3, + 3, 2, 2, 2, 1, 1, 2, 2, 1, 3, 2, 0, 1, 3, 2, 0, 2, 1, 3, 0, + 0, 0, 1, 3, 3, 2, 2, 2, 3, 1, 0, 0, 1, 1, 2, 1, 3, 1, 1, 2, + 2, 3, 2, 3, 0, 2, 3, 3, 0, 3, 0, 0, 1, 0, 0, 0, 1, 3, 1, 1, + 2, 3, 2, 1, 1, 2, 2, 2, 3, 0, 1, 1, 2, 1, 2, 0, 2, 3, 1, 3, + 0, 1, 1, 3, 0, 2, 3, 0, 1, 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 2, + 3, 0, 1, 1, 1, 1, 2, 0, 1, 2, 0, 1, 1, 1, 0, 1, 3, 2, 3, 1, + 0, 2, 1, 2, 1, 3, 3, 1, 0, 2, 2, 3, 1, 3, 1, 3, 0, 1, 0, 3, + 0, 3, 2, 0, 3, 3, 3, 0, 3, 2, 2, 2, 1, 3, 0, 0, 1, 1, 3, 0, + 1, 2, 1, 0, 0, 0, 3, 2, 2, 0, 0, 2, 1, 3, 0, 0, 3, 0, 0, 2, + 1, 1, 2, 2, 1, 3, 2, 2, 1, 1, 2, 1, 3, 2, 1, 1, 3, 0, 1, 3, + 3, 2, 2, 1, 0, 3, 2, 2, 2, 3, 0, 1, 3, 3, 2, 3, 0, 3, 2, 3, + 1, 1, 0, 0, 0, 2, 3, 0, 3, 0, 1, 1, 3, 1, 3, 2, 1, 1, 2, 1, + 3, 2, 0, 2, 1, 0, 2, 3, 2, 3, 2, 1, 2, 3, 0, 0, 1, 1, 0, 0, + 2, 1, 0, 1, 2, 2, 2, 2, 0, 3, 3, 1, 0, 0, 0, 0, 3, 1, 1, 0, + 0, 0, 0, 1, 2, 2, 1, 3, 0, 2, 3, 2, 3, 2, 2, 1, 2, 2, 3, 3, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 2, 2, 3, 1, 1, 1, 0, 0, 0, 3, 0, + 1, 0, 3, 1, 1, 3, 0, 1, 2, 2, 0, 0, 3, 3, 3, 3, 2, 1, 0, 0, + 1, 0, 2, 0, 1, 1, 0, 0, 3, 3, 2, 1, 1, 1, 0, 1, 1, 2, 2, 1, + 1, 2, 0, 3, 1, 3, 1, 0, 3, 0, 3, 1, 1, 1, 0, 2, 0, 3, 1, 0, + 1, 0, 2, 0, 2, 3, 3, 3, 1, 2, 3, 2, 2, 0, 1, 1, 0, 3, 3, 1, + 3, 3, 2, 0, 2, 0, 2, 2, 3, 3, 3, 0, 2, 3, 3, 1, 3, 2, 2, 2, + 0, 2, 3, 0, 2, 0, 3, 2, 2, 1, 1, 0, 2, 2, 2, 0, 2, 2, 0, 1, + 3, 2, 1, 3, 2, 2, 0, 3, 3, 1, 2, 2, 0, 0, 3, 2, 1, 2, 2, 1, + 3, 1, 2, 0, 0, 1, 1, 2, 1, 3, 2, 2, 3, 0, 2, 1, 3, 2, 1, 3, + 2, 3, 3, 1, 2, 1, 2, 2, 0, 0, 0, 3, 0, 2, 3, 1, 0, 0, 2, 3, + 3, 2, 2, 1 +}; + +static data_t input2_data[ARRAY_SIZE] = +{ + 1, 1, 0, 3, 1, 2, 0, 0, 0, 0, 0, 2, 1, 2, 3, 0, 0, 3, 3, 2, + 2, 1, 2, 3, 3, 0, 2, 2, 1, 1, 2, 2, 0, 2, 2, 1, 2, 3, 2, 2, + 3, 3, 2, 2, 1, 1, 1, 1, 2, 1, 2, 2, 3, 3, 3, 0, 0, 3, 2, 3, + 2, 3, 1, 2, 1, 1, 2, 2, 0, 1, 0, 3, 2, 1, 1, 1, 2, 0, 1, 2, + 2, 0, 2, 1, 3, 3, 2, 3, 2, 0, 3, 1, 3, 3, 2, 0, 1, 0, 1, 1, + 2, 2, 1, 1, 2, 2, 1, 2, 3, 3, 1, 3, 2, 2, 2, 3, 3, 1, 0, 2, + 1, 0, 0, 0, 1, 1, 2, 0, 3, 2, 3, 3, 0, 2, 3, 1, 0, 0, 2, 1, + 2, 0, 2, 1, 1, 2, 3, 1, 3, 2, 1, 0, 0, 0, 0, 0, 2, 2, 0, 2, + 1, 2, 0, 3, 2, 2, 0, 0, 3, 2, 1, 1, 3, 0, 2, 0, 0, 1, 0, 2, + 3, 3, 1, 3, 3, 0, 0, 2, 2, 0, 0, 0, 1, 0, 0, 1, 3, 0, 2, 1, + 3, 2, 2, 1, 3, 2, 0, 1, 2, 2, 3, 2, 1, 1, 1, 1, 3, 0, 1, 3, + 2, 2, 3, 1, 1, 2, 0, 2, 1, 1, 2, 3, 1, 0, 1, 0, 1, 1, 0, 0, + 2, 0, 3, 0, 3, 0, 3, 2, 2, 3, 3, 2, 1, 0, 2, 2, 1, 1, 0, 3, + 3, 2, 2, 0, 0, 3, 0, 1, 0, 0, 1, 2, 0, 1, 3, 0, 1, 2, 2, 0, + 0, 3, 0, 3, 0, 1, 1, 2, 0, 0, 0, 3, 0, 0, 2, 1, 1, 1, 0, 2, + 1, 3, 1, 2, 0, 3, 0, 3, 1, 3, 0, 0, 2, 2, 2, 2, 3, 3, 2, 1, + 2, 2, 1, 1, 2, 2, 2, 2, 0, 3, 0, 0, 2, 0, 1, 2, 0, 3, 2, 3, + 2, 0, 2, 1, 2, 1, 0, 2, 1, 1, 3, 2, 2, 3, 1, 0, 3, 3, 1, 0, + 3, 2, 2, 0, 0, 3, 0, 0, 2, 0, 3, 2, 3, 1, 1, 0, 0, 2, 3, 0, + 0, 1, 1, 1, 2, 1, 3, 2, 1, 3, 0, 1, 3, 3, 1, 1, 1, 1, 1, 1, + 0, 0, 2, 3, 2, 2, 2, 3, 2, 3, 1, 2, 3, 2, 2, 2, 0, 1, 3, 0, + 1, 1, 0, 1, 0, 1, 1, 3, 3, 1, 2, 2, 3, 2, 0, 2, 2, 0, 1, 3, + 0, 1, 3, 2, 1, 3, 3, 2, 0, 1, 3, 2, 0, 2, 1, 1, 0, 3, 0, 1, + 1, 1, 1, 1, 3, 0, 0, 1, 0, 2, 3, 1, 3, 0, 2, 1, 3, 0, 3, 0, + 3, 2, 2, 0, 0, 2, 1, 3, 3, 2, 3, 2, 2, 1, 2, 2, 3, 0, 3, 2, + 2, 0, 3, 2, 3, 2, 0, 0, 1, 2, 0, 0, 2, 0, 0, 3, 3, 2, 0, 0, + 3, 3, 0, 2, 3, 1, 0, 1, 0, 2, 1, 0, 2, 1, 0, 1, 0, 3, 0, 2, + 2, 3, 0, 0, 2, 1, 0, 1, 0, 0, 0, 2, 2, 3, 2, 0, 3, 3, 2, 1, + 0, 0, 3, 1, 2, 3, 3, 1, 0, 3, 1, 1, 0, 3, 3, 3, 2, 2, 2, 0, + 1, 2, 0, 3, 0, 1, 0, 1, 1, 0, 1, 2, 0, 3, 2, 0, 1, 2, 2, 0, + 2, 0, 0, 1, 0, 3, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 1, 1, 1, 0, + 2, 1, 1, 3, 2, 0, 2, 1, 1, 0, 2, 2, 1, 3, 0, 2, 1, 0, 1, 2, + 0, 1, 3, 2, 3, 2, 1, 0, 2, 0, 2, 2, 3, 1, 1, 3, 2, 3, 2, 2, + 0, 2, 0, 0, 0, 3, 2, 0, 2, 2, 3, 3, 3, 2, 1, 2, 0, 0, 3, 0, + 2, 0, 3, 2, 2, 3, 0, 3, 2, 1, 2, 2, 1, 2, 0, 0, 3, 1, 2, 0, + 2, 3, 2, 2, 1, 1, 1, 3, 3, 3, 3, 3, 1, 3, 0, 1, 3, 2, 2, 1, + 0, 1, 1, 2, 1, 2, 3, 1, 2, 2, 1, 2, 1, 1, 0, 3, 3, 1, 1, 3, + 2, 0, 0, 1, 2, 0, 1, 3, 1, 0, 0, 2, 2, 3, 3, 0, 2, 3, 2, 1, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 3, 3, 3, 1, 3, 0, 3, 1, 1, 2, 2, + 2, 1, 0, 3, 2, 3, 0, 2, 3, 2, 3, 1, 2, 3, 3, 1, 2, 1, 0, 0, + 0, 3, 3, 3, 3, 0, 3, 3, 3, 3, 2, 1, 0, 3, 0, 3, 2, 3, 1, 0, + 0, 1, 3, 1, 0, 2, 2, 3, 1, 0, 2, 1, 1, 3, 1, 1, 3, 1, 2, 1, + 0, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 3, 3, 1, 0, 3, 1, 1, 2, 0, + 0, 0, 2, 3, 3, 2, 2, 3, 0, 2, 3, 1, 3, 3, 0, 2, 1, 2, 2, 2, + 1, 0, 1, 3, 2, 3, 1, 1, 2, 1, 1, 0, 0, 2, 3, 2, 1, 0, 3, 1, + 3, 0, 1, 1, 2, 2, 1, 3, 3, 1, 1, 0, 0, 3, 3, 0, 0, 0, 0, 0, + 3, 1, 3, 0, 0, 0, 3, 3, 2, 1, 3, 0, 1, 3, 1, 1, 1, 0, 1, 0, + 1, 2, 2, 2, 3, 3, 0, 2, 3, 2, 1, 3, 3, 1, 1, 3, 0, 3, 3, 2, + 1, 1, 2, 0, 3, 0, 1, 2, 1, 1, 0, 0, 1, 2, 2, 0, 3, 1, 1, 1, + 3, 3, 3, 1, 0, 3, 3, 2, 2, 2, 1, 2, 0, 1, 1, 3, 0, 3, 1, 0, + 2, 2, 0, 1, 2, 3, 2, 1, 2, 0, 3, 2, 1, 3, 0, 1, 2, 0, 3, 0, + 1, 1, 2, 1 +}; + +static data_t verify_data[ARRAY_SIZE] = +{ + 72, 75, 88, 101, 80, 88, 73, 75, 80, 81, 58, 75, 86, 65, 60, 80, 84, 83, 87, 83, + 108, 93, 85, 76, 72, 98, 79, 86, 80, 96, 91, 85, 72, 64, 70, 83, 68, 92, 51, 54, + 85, 85, 60, 58, 90, 64, 55, 69, 72, 48, 94, 77, 91, 83, 70, 69, 67, 77, 59, 50, + 67, 74, 77, 67, 67, 62, 72, 71, 68, 79, 54, 61, 67, 61, 55, 62, 78, 60, 53, 64, + 67, 69, 99, 68, 88, 60, 66, 63, 70, 62, 65, 50, 53, 66, 70, 72, 75, 78, 85, 95, + 71, 89, 70, 68, 86, 88, 58, 77, 84, 70, 65, 68, 73, 75, 91, 96, 105, 92, 76, 68, + 86, 69, 80, 59, 73, 83, 88, 75, 64, 63, 71, 99, 77, 77, 69, 55, 80, 73, 54, 73, + 87, 78, 60, 69, 65, 78, 86, 89, 95, 92, 63, 69, 89, 61, 80, 65, 70, 77, 89, 77, + 79, 79, 73, 92, 64, 81, 60, 78, 81, 80, 61, 63, 89, 65, 56, 83, 77, 65, 102, 70, + 98, 86, 96, 68, 72, 89, 73, 73, 70, 89, 84, 76, 48, 61, 63, 70, 70, 79, 50, 53, + 64, 63, 43, 51, 59, 62, 43, 63, 55, 77, 79, 74, 75, 74, 64, 44, 65, 69, 72, 66, + 54, 71, 74, 72, 69, 76, 68, 89, 94, 75, 65, 53, 85, 79, 65, 74, 82, 73, 58, 70, + 84, 77, 99, 72, 92, 84, 78, 62, 59, 83, 71, 74, 63, 85, 80, 78, 71, 72, 79, 83, + 73, 82, 60, 85, 76, 82, 60, 70, 82, 68, 54, 85, 84, 70, 86, 74, 100, 88, 98, 68, + 67, 87, 69, 73, 68, 88, 76, 71, 47, 43, 47, 80, 54, 65, 40, 37, 59, 53, 33, 48, + 62, 40, 36, 55, 36, 62, 53, 57, 70, 69, 45, 43, 53, 61, 42, 57, 56, 63, 51, 47, + 59, 75, 64, 89, 83, 75, 59, 75, 91, 92, 58, 64, 83, 74, 58, 60, 76, 66, 97, 69, + 90, 95, 92, 64, 78, 75, 77, 73, 65, 78, 82, 75, 47, 54, 59, 71, 59, 56, 53, 42, + 60, 55, 40, 51, 60, 46, 36, 59, 46, 57, 67, 43, 51, 53, 53, 38, 54, 56, 55, 48, + 41, 46, 63, 63, 80, 77, 89, 102, 89, 98, 74, 86, 98, 93, 63, 76, 98, 77, 48, 101, + 86, 88, 100, 82, 102, 90, 95, 75, 86, 103, 83, 98, 80, 104, 98, 86, 71, 74, 80, 90, + 86, 87, 73, 70, 81, 83, 55, 66, 90, 66, 58, 84, 77, 84, 93, 72, 99, 75, 85, 65, + 70, 89, 71, 82, 64, 79, 82, 80, 67, 73, 86, 101, 78, 97, 66, 64, 84, 80, 55, 64, + 79, 73, 51, 79, 89, 68, 94, 77, 109, 102, 82, 61, 66, 93, 88, 70, 82, 82, 85, 69, + 69, 72, 66, 97, 85, 90, 70, 59, 76, 89, 53, 56, 90, 79, 71, 64, 70, 67, 100, 92, + 106, 89, 83, 78, 73, 80, 70, 72, 65, 70, 92, 88, 57, 76, 55, 85, 66, 80, 61, 63, + 63, 78, 54, 58, 71, 73, 54, 63, 63, 62, 89, 76, 86, 81, 83, 54, 70, 81, 78, 64, + 56, 72, 74, 81, 75, 63, 68, 89, 65, 77, 58, 68, 75, 83, 52, 62, 82, 63, 55, 75, + 51, 70, 95, 66, 83, 77, 86, 61, 64, 77, 48, 70, 66, 82, 72, 75, 79, 71, 72, 89, + 78, 78, 66, 59, 91, 80, 55, 64, 79, 68, 54, 71, 67, 75, 87, 84, 100, 101, 76, 58, + 74, 82, 61, 74, 75, 97, 85, 79, 61, 55, 69, 68, 72, 65, 52, 64, 80, 73, 48, 54, + 71, 66, 42, 61, 66, 63, 92, 64, 85, 77, 73, 54, 74, 73, 76, 66, 62, 79, 85, 70, + 71, 84, 87, 81, 88, 86, 77, 77, 93, 88, 78, 71, 101, 89, 58, 84, 95, 81, 89, 97, + 104, 79, 83, 76, 90, 81, 91, 74, 70, 76, 91, 80, 51, 48, 56, 69, 47, 63, 54, 42, + 63, 63, 42, 52, 66, 56, 39, 59, 61, 52, 59, 63, 62, 68, 57, 35, 67, 58, 56, 52, + 61, 63, 60, 47, 85, 75, 89, 106, 88, 95, 74, 82, 107, 107, 64, 78, 98, 90, 62, 91, + 79, 87, 111, 84, 104, 106, 96, 68, 94, 99, 81, 89, 79, 105, 95, 86, 65, 63, 77, 89, + 66, 88, 56, 73, 82, 92, 41, 62, 85, 66, 50, 81, 57, 71, 77, 78, 86, 89, 77, 53, + 67, 78, 61, 63, 72, 82, 69, 66, 59, 46, 55, 70, 56, 64, 45, 50, 65, 64, 42, 56, + 78, 49, 51, 52, 38, 56, 72, 55, 73, 72, 61, 50, 63, 60, 47, 57, 55, 73, 53, 68, + 85, 88, 91, 96, 82, 89, 73, 76, 87, 86, 67, 69, 96, 84, 57, 89, 87, 89, 99, 88, + 104, 90, 85, 75, 88, 92, 85, 75, 74, 87, 103, 94, 55, 48, 56, 65, 72, 50, 45, 51, + 63, 62, 47, 57, 79, 53, 36, 63, 54, 68, 71, 59, 63, 61, 63, 41, 50, 73, 57, 59, + 56, 76, 73, 65, 61, 64, 61, 79, 53, 73, 57, 44, 61, 59, 59, 56, 81, 59, 49, 62, + 65, 55, 69, 72, 79, 70, 58, 57, 68, 61, 62, 50, 57, 60, 66, 66, 63, 77, 81, 89, + 85, 81, 76, 73, 78, 95, 59, 70, 81, 77, 46, 79, 78, 79, 83, 81, 84, 82, 85, 48, + 74, 85, 85, 74, 74, 80, 80, 74, 60, 76, 80, 97, 88, 93, 66, 66, 73, 84, 56, 70, + 90, 63, 58, 78, 73, 93, 90, 78, 94, 88, 82, 67, 85, 70, 81, 86, 74, 82, 88, 82, + 68, 73, 75, 91, 78, 97, 71, 66, 74, 85, 50, 59, 86, 77, 70, 74, 75, 74, 99, 82, + 99, 91, 86, 65, 80, 77, 72, 69, 60, 78, 90, 87, 79, 69, 74, 98, 70, 86, 81, 67, + 69, 78, 48, 65, 88, 70, 70, 70, 69, 72, 96, 90, 99, 82, 81, 76, 98, 73, 74, 71, + 69, 73, 94, 89 +}; + diff --git a/mt/ae_matmul/matmul_gendata.pl b/mt/ae_matmul/matmul_gendata.pl new file mode 100755 index 0000000..f21bb46 --- /dev/null +++ b/mt/ae_matmul/matmul_gendata.pl @@ -0,0 +1,200 @@ +#!/usr/bin/perl -w +#========================================================================== +# matmul_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the matmul benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: matmul_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[ARRAY_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3d",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + + + +#-------------------------------------------------------------------------- +# Matmul +#-------------------------------------------------------------------------- + +# http://answers.oreilly.com/topic/418-how-to-multiply-matrices-in-perl/ + +sub mmult { + my ($m1,$m2) = @_; + my ($m1rows,$m1cols) = matdim($m1); + my ($m2rows,$m2cols) = matdim($m2); + + my $result = [ ]; + my ($i, $j, $k); + + for $i (range($m1rows)) { + for $j (range($m2cols)) { + for $k (range($m1cols)) { + $result->[$i][$j] += $m1->[$i][$k] * $m2->[$k][$j]; + } + } + } + return $result; +} + +sub range { 0 .. ($_[0] - 1) } + + +sub veclen { + my $ary_ref = $_[0]; + my $type = ref $ary_ref; + if ($type ne "ARRAY") { die "$type is bad array ref for $ary_ref" } + return scalar(@$ary_ref); +} + +sub matdim { + my $matrix = $_[0]; + my $rows = veclen($matrix); + my $cols = veclen($matrix->[0]); + return ($rows, $cols); +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + # create random input arrays + my $mat_values1; + my $mat_values2; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + $mat_values1->[$i][$j] = int(rand(4)); + $mat_values2->[$i][$j] = int(rand(4)); + } + } + + # perform matmul + my $mat_results = mmult( $mat_values1, $mat_values2 ); + + # translate 2d arrays to 1d-somethings (I don't know how to code in perl - Chris) + my @values1; + my @values2; + my @results; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + my $value1 = $mat_values1->[$i][$j]; + my $value2 = $mat_values2->[$i][$j]; + my $result = $mat_results->[$i][$j]; + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @results, $result ); + } + } + + print "\n\#define ARRAY_SIZE ".($opts{"size"}*$opts{"size"})." \n\n"; + print "\n\#define DIM_SIZE ".$opts{"size"}." \n\n"; + + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@results); + +} + +main(); + diff --git a/mt/ae_matmul/matmul_mi.c b/mt/ae_matmul/matmul_mi.c new file mode 100755 index 0000000..5062141 --- /dev/null +++ b/mt/ae_matmul/matmul_mi.c @@ -0,0 +1,311 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + + data_t a1; + data_t a2; + data_t a3; + data_t a4; + data_t a5; + data_t a6; + data_t a7; + data_t a8; + data_t *b1; + data_t *b2; + data_t *b3; + data_t *b4; + data_t *b5; + data_t *b6; + data_t *b7; + data_t *b8; + data_t c1; + data_t c2; + data_t c3; + data_t c4; + data_t c5; + data_t c6; + data_t c7; + data_t c8; + int i, j, k; + int start, end; + static data_t BB[1024]; + + + //transpose B + if (coreid == 0 | coreid == 1 ) { + for ( k = 0; k < lda; k++) { + for ( i = coreid*(lda/2); i < (coreid+1)*(lda/2); i++ ) { + BB[i*lda + k] = B[k*lda + i]; + } + } + } + barrier(); + + for ( int x = 0; x < ncores; x++) { + //split the i values into two chunks so the threads don't interfere on the B loads + //this could be generalized if needed, but I won't bother since it would be tricky + //and we already know the size and numthreads + start = coreid == x ? 0 : 16; + end = coreid == x ? 16 : 32; + for ( i = start; i < end; i+=8 ) { + for ( j = coreid*(lda/ncores); j < (coreid+1)*(lda/ncores); j++ ) { + c1=0;c2=0;c3=0;c4=0;c5=0;c6=0;c7=0;c8=0; + b1 = &BB[(i+0)*lda]; + b2 = &BB[(i+1)*lda]; + b3 = &BB[(i+2)*lda]; + b4 = &BB[(i+3)*lda]; + b5 = &BB[(i+4)*lda]; + b6 = &BB[(i+5)*lda]; + b7 = &BB[(i+6)*lda]; + b8 = &BB[(i+7)*lda]; + + for ( k = 0; k < lda; k+=8 ) { + a1 = A[j*lda + k+0]; + a2 = A[j*lda + k+1]; + a3 = A[j*lda + k+2]; + a4 = A[j*lda + k+3]; + a5 = A[j*lda + k+4]; + a6 = A[j*lda + k+5]; + a7 = A[j*lda + k+6]; + a8 = A[j*lda + k+7]; + + c1 += a1 * b1[k+0]; + c1 += a2 * b1[k+1]; + c1 += a3 * b1[k+2]; + c1 += a4 * b1[k+3]; + c1 += a5 * b1[k+4]; + c1 += a6 * b1[k+5]; + c1 += a7 * b1[k+6]; + c1 += a8 * b1[k+7]; + + c2 += a1 * b2[k+0]; + c2 += a2 * b2[k+1]; + c2 += a3 * b2[k+2]; + c2 += a4 * b2[k+3]; + c2 += a5 * b2[k+4]; + c2 += a6 * b2[k+5]; + c2 += a7 * b2[k+6]; + c2 += a8 * b2[k+7]; + + c3 += a1 * b3[k+0]; + c3 += a2 * b3[k+1]; + c3 += a3 * b3[k+2]; + c3 += a4 * b3[k+3]; + c3 += a5 * b3[k+4]; + c3 += a6 * b3[k+5]; + c3 += a7 * b3[k+6]; + c3 += a8 * b3[k+7]; + + c4 += a1 * b4[k+0]; + c4 += a2 * b4[k+1]; + c4 += a3 * b4[k+2]; + c4 += a4 * b4[k+3]; + c4 += a5 * b4[k+4]; + c4 += a6 * b4[k+5]; + c4 += a7 * b4[k+6]; + c4 += a8 * b4[k+7]; + + c5 += a1 * b5[k+0]; + c5 += a2 * b5[k+1]; + c5 += a3 * b5[k+2]; + c5 += a4 * b5[k+3]; + c5 += a5 * b5[k+4]; + c5 += a6 * b5[k+5]; + c5 += a7 * b5[k+6]; + c5 += a8 * b5[k+7]; + + c6 += a1 * b6[k+0]; + c6 += a2 * b6[k+1]; + c6 += a3 * b6[k+2]; + c6 += a4 * b6[k+3]; + c6 += a5 * b6[k+4]; + c6 += a6 * b6[k+5]; + c6 += a7 * b6[k+6]; + c6 += a8 * b6[k+7]; + + c7 += a1 * b7[k+0]; + c7 += a2 * b7[k+1]; + c7 += a3 * b7[k+2]; + c7 += a4 * b7[k+3]; + c7 += a5 * b7[k+4]; + c7 += a6 * b7[k+5]; + c7 += a7 * b7[k+6]; + c7 += a8 * b7[k+7]; + + c8 += a1 * b8[k+0]; + c8 += a2 * b8[k+1]; + c8 += a3 * b8[k+2]; + c8 += a4 * b8[k+3]; + c8 += a5 * b8[k+4]; + c8 += a6 * b8[k+5]; + c8 += a7 * b8[k+6]; + c8 += a8 * b8[k+7]; + } + C[i+0 + j*lda] += c1; + C[i+1 + j*lda] += c2; + C[i+2 + j*lda] += c3; + C[i+3 + j*lda] += c4; + C[i+4 + j*lda] += c5; + C[i+5 + j*lda] += c6; + C[i+6 + j*lda] += c7; + C[i+7 + j*lda] += c8; + } + } + } +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + +/* + // Execute the provided, naive matmul + barrier(); + stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + + // clear results from the first trial + size_t i; + if (coreid == 0) + for (i=0; i < ARRAY_SIZE; i++) + results_data[i] = 0; + barrier(); +*/ + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/ae_vvadd/ae_vvadd.c b/mt/ae_vvadd/ae_vvadd.c new file mode 100755 index 0000000..0e6541b --- /dev/null +++ b/mt/ae_vvadd/ae_vvadd.c @@ -0,0 +1,178 @@ +//************************************************************************** +// Vector-vector add benchmark +//-------------------------------------------------------------------------- +// Author : Andrew Waterman +// TA : Christopher Celio +// Student : +// +// This benchmark adds two vectors and writes the results to a +// third vector. The input data (and reference data) should be +// generated using the vvadd_gendata.pl perl script and dumped +// to a file named dataset.h + +// to print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DATA_SIZE, 10*_c/DATA_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %4ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %4ld, correct[%d]= %4ld\n", + i, (long) test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// vvadd function + +//perform in-place vvadd +void __attribute__((noinline)) vvadd(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + size_t i; + + // interleave accesses + for (i = coreid; i < n; i+=ncores) + { + x[i] = x[i] + y[i]; + } +} + +void __attribute__((noinline)) vvadd_opt(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + + size_t i; + + size_t sizepercore = n / ncores; + size_t start = coreid * sizepercore; + size_t end = (coreid + 1) * sizepercore; + for (i = start; i < end; i++) + { + x[i] = x[i] + y[i]; + } + + + +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[DATA_SIZE]; + + // because we're going to perform an in-place vvadd (and we're going to run + // it a couple of times) let's copy the input data to a temporary results + // array + + size_t i; + if (coreid == 0) + { + for (i = 0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + + + // Execute the provided, terrible vvadd + barrier(); + stats(vvadd(DATA_SIZE, results_data, input2_data); barrier()); + + + // verify + verify(DATA_SIZE, results_data, verify_data); + + // reset results from the first trial + if (coreid == 0) + { + for (i=0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + barrier(); + + + // Execute your faster vvadd + barrier(); + stats(vvadd_opt(DATA_SIZE, results_data, input2_data); barrier()); + +#ifdef DEBUG + printArray("results: ", DATA_SIZE, results_data); + printArray("verify : ", DATA_SIZE, verify_data); +#endif + + // verify + verify(DATA_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/ae_vvadd/dataset.h b/mt/ae_vvadd/dataset.h new file mode 100755 index 0000000..ce9f936 --- /dev/null +++ b/mt/ae_vvadd/dataset.h @@ -0,0 +1,165 @@ + +#define DATA_SIZE 1000 + +static data_t input1_data[DATA_SIZE] = +{ + 0.00, 15.00, 10.00, 3.00, 14.00, 6.00, 2.00, 18.00, 11.00, 15.00, 11.00, 0.00, 17.00, 16.00, 7.00, 13.00, 18.00, 2.00, 2.00, 5.00, + 8.00, 5.00, 12.00, 14.00, 6.00, 12.00, 16.00, 7.00, 9.00, 17.00, 10.00, 10.00, 3.00, 5.00, 14.00, 11.00, 9.00, 12.00, 3.00, 1.00, + 5.00, 4.00, 6.00, 17.00, 17.00, 4.00, 17.00, 15.00, 17.00, 18.00, 3.00, 18.00, 10.00, 6.00, 12.00, 12.00, 3.00, 2.00, 16.00, 1.00, + 5.00, 6.00, 2.00, 17.00, 16.00, 5.00, 10.00, 18.00, 14.00, 4.00, 9.00, 9.00, 7.00, 4.00, 8.00, 13.00, 12.00, 6.00, 4.00, 17.00, + 5.00, 2.00, 11.00, 11.00, 7.00, 6.00, 8.00, 5.00, 6.00, 6.00, 11.00, 1.00, 18.00, 7.00, 6.00, 9.00, 10.00, 17.00, 14.00, 4.00, + 14.00, 11.00, 2.00, 0.00, 2.00, 17.00, 17.00, 15.00, 10.00, 8.00, 12.00, 18.00, 5.00, 0.00, 0.00, 1.00, 1.00, 8.00, 11.00, 11.00, + 7.00, 5.00, 15.00, 18.00, 15.00, 6.00, 8.00, 9.00, 18.00, 6.00, 15.00, 16.00, 10.00, 18.00, 13.00, 6.00, 10.00, 16.00, 0.00, 10.00, + 12.00, 8.00, 8.00, 3.00, 0.00, 1.00, 4.00, 0.00, 8.00, 15.00, 16.00, 9.00, 7.00, 7.00, 10.00, 9.00, 16.00, 12.00, 5.00, 5.00, + 9.00, 5.00, 17.00, 4.00, 13.00, 13.00, 4.00, 14.00, 10.00, 5.00, 10.00, 10.00, 6.00, 18.00, 5.00, 15.00, 5.00, 15.00, 13.00, 18.00, + 6.00, 13.00, 5.00, 18.00, 12.00, 14.00, 1.00, 7.00, 2.00, 1.00, 7.00, 12.00, 15.00, 15.00, 6.00, 2.00, 1.00, 2.00, 18.00, 6.00, + 10.00, 14.00, 9.00, 15.00, 11.00, 0.00, 3.00, 1.00, 2.00, 2.00, 14.00, 7.00, 18.00, 0.00, 2.00, 2.00, 16.00, 8.00, 4.00, 5.00, + 7.00, 11.00, 7.00, 10.00, 14.00, 10.00, 3.00, 0.00, 13.00, 9.00, 14.00, 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9.00, 18.00, 11.00, 8.00, 4.00, 14.00, 6.00, + 17.00, 2.00, 6.00, 8.00, 11.00, 13.00, 6.00, 18.00, 17.00, 6.00, 8.00, 0.00, 1.00, 14.00, 18.00, 4.00, 0.00, 4.00, 3.00, 3.00, + 16.00, 8.00, 16.00, 1.00, 2.00, 0.00, 15.00, 14.00, 10.00, 9.00, 15.00, 3.00, 5.00, 18.00, 5.00, 6.00, 7.00, 3.00, 7.00, 2.00, + 6.00, 12.00, 10.00, 10.00, 18.00, 16.00, 0.00, 9.00, 17.00, 10.00, 9.00, 14.00, 15.00, 5.00, 8.00, 15.00, 3.00, 15.00, 14.00, 11.00, + 6.00, 6.00, 14.00, 0.00, 14.00, 0.00, 7.00, 12.00, 8.00, 7.00, 1.00, 3.00, 6.00, 10.00, 12.00, 1.00, 16.00, 5.00, 5.00, 6.00, + 17.00, 15.00, 15.00, 9.00, 4.00, 18.00, 17.00, 13.00, 12.00, 9.00, 7.00, 10.00, 2.00, 5.00, 8.00, 18.00, 1.00, 15.00, 8.00, 0.00 +}; + +static data_t verify_data[DATA_SIZE] = +{ + 8.00, 21.00, 10.00, 21.00, 20.00, 16.00, 3.00, 20.00, 15.00, 17.00, 15.00, 10.00, 23.00, 27.00, 24.00, 17.00, 18.00, 18.00, 16.00, 17.00, + 17.00, 13.00, 25.00, 29.00, 24.00, 14.00, 29.00, 17.00, 14.00, 21.00, 22.00, 19.00, 4.00, 18.00, 26.00, 18.00, 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31.00, + 21.00, 31.00, 12.00, 34.00, 28.00, 15.00, 2.00, 19.00, 14.00, 3.00, 9.00, 13.00, 22.00, 19.00, 6.00, 10.00, 19.00, 6.00, 29.00, 12.00, + 27.00, 27.00, 21.00, 20.00, 27.00, 12.00, 3.00, 10.00, 12.00, 12.00, 32.00, 19.00, 26.00, 7.00, 7.00, 10.00, 32.00, 11.00, 13.00, 23.00, + 19.00, 24.00, 25.00, 16.00, 22.00, 22.00, 5.00, 12.00, 21.00, 17.00, 23.00, 18.00, 22.00, 1.00, 12.00, 18.00, 8.00, 21.00, 6.00, 20.00, + 28.00, 8.00, 27.00, 10.00, 25.00, 13.00, 21.00, 25.00, 13.00, 32.00, 33.00, 16.00, 11.00, 4.00, 28.00, 20.00, 11.00, 23.00, 19.00, 28.00, + 22.00, 14.00, 21.00, 11.00, 14.00, 22.00, 1.00, 11.00, 7.00, 11.00, 20.00, 30.00, 13.00, 23.00, 23.00, 16.00, 9.00, 20.00, 29.00, 20.00, + 21.00, 27.00, 13.00, 26.00, 8.00, 17.00, 19.00, 9.00, 10.00, 6.00, 6.00, 18.00, 13.00, 17.00, 28.00, 17.00, 21.00, 22.00, 5.00, 15.00, + 17.00, 14.00, 9.00, 14.00, 18.00, 17.00, 8.00, 17.00, 23.00, 20.00, 2.00, 0.00, 27.00, 16.00, 15.00, 21.00, 20.00, 25.00, 17.00, 12.00, + 22.00, 24.00, 21.00, 8.00, 14.00, 28.00, 29.00, 19.00, 8.00, 24.00, 4.00, 11.00, 13.00, 2.00, 23.00, 29.00, 13.00, 34.00, 27.00, 22.00, + 17.00, 3.00, 21.00, 15.00, 13.00, 25.00, 18.00, 20.00, 12.00, 10.00, 27.00, 28.00, 22.00, 22.00, 14.00, 6.00, 25.00, 29.00, 15.00, 12.00, + 28.00, 11.00, 15.00, 5.00, 4.00, 20.00, 10.00, 4.00, 22.00, 3.00, 27.00, 31.00, 29.00, 20.00, 7.00, 3.00, 7.00, 28.00, 17.00, 14.00, + 17.00, 10.00, 8.00, 7.00, 12.00, 21.00, 34.00, 20.00, 9.00, 22.00, 19.00, 21.00, 25.00, 24.00, 18.00, 14.00, 23.00, 23.00, 9.00, 15.00, + 19.00, 7.00, 20.00, 32.00, 20.00, 27.00, 27.00, 30.00, 27.00, 32.00, 8.00, 19.00, 21.00, 28.00, 16.00, 25.00, 13.00, 22.00, 24.00, 13.00, + 21.00, 16.00, 10.00, 23.00, 21.00, 11.00, 25.00, 19.00, 21.00, 14.00, 14.00, 26.00, 30.00, 12.00, 5.00, 26.00, 22.00, 11.00, 7.00, 16.00, + 12.00, 22.00, 14.00, 23.00, 21.00, 28.00, 31.00, 20.00, 1.00, 23.00, 30.00, 32.00, 16.00, 14.00, 9.00, 23.00, 21.00, 31.00, 3.00, 23.00, + 17.00, 7.00, 22.00, 6.00, 30.00, 4.00, 7.00, 22.00, 17.00, 17.00, 19.00, 18.00, 31.00, 11.00, 18.00, 11.00, 22.00, 12.00, 29.00, 15.00, + 35.00, 11.00, 12.00, 17.00, 18.00, 29.00, 17.00, 33.00, 33.00, 15.00, 27.00, 20.00, 29.00, 14.00, 23.00, 15.00, 21.00, 18.00, 20.00, 17.00, + 24.00, 5.00, 29.00, 13.00, 19.00, 18.00, 19.00, 13.00, 5.00, 16.00, 22.00, 14.00, 25.00, 21.00, 7.00, 17.00, 19.00, 15.00, 5.00, 16.00, + 33.00, 28.00, 10.00, 24.00, 24.00, 13.00, 11.00, 17.00, 12.00, 28.00, 21.00, 5.00, 19.00, 25.00, 13.00, 5.00, 10.00, 25.00, 21.00, 17.00, + 13.00, 20.00, 9.00, 16.00, 24.00, 18.00, 16.00, 22.00, 19.00, 10.00, 0.00, 14.00, 21.00, 24.00, 23.00, 10.00, 33.00, 23.00, 21.00, 17.00, + 17.00, 19.00, 26.00, 22.00, 12.00, 27.00, 31.00, 23.00, 6.00, 32.00, 12.00, 10.00, 9.00, 19.00, 18.00, 18.00, 20.00, 24.00, 17.00, 7.00, + 21.00, 27.00, 14.00, 20.00, 5.00, 19.00, 11.00, 18.00, 25.00, 1.00, 12.00, 21.00, 13.00, 26.00, 20.00, 3.00, 17.00, 28.00, 18.00, 16.00, + 13.00, 11.00, 11.00, 24.00, 2.00, 27.00, 18.00, 19.00, 18.00, 16.00, 25.00, 15.00, 9.00, 19.00, 26.00, 24.00, 19.00, 13.00, 16.00, 12.00, + 25.00, 12.00, 12.00, 24.00, 20.00, 9.00, 22.00, 6.00, 13.00, 11.00, 11.00, 20.00, 11.00, 22.00, 3.00, 17.00, 25.00, 14.00, 25.00, 16.00, + 3.00, 16.00, 23.00, 24.00, 24.00, 29.00, 24.00, 6.00, 12.00, 14.00, 23.00, 29.00, 23.00, 26.00, 14.00, 35.00, 17.00, 20.00, 12.00, 25.00, + 2.00, 29.00, 16.00, 3.00, 17.00, 32.00, 30.00, 5.00, 31.00, 25.00, 24.00, 29.00, 22.00, 26.00, 7.00, 14.00, 6.00, 11.00, 32.00, 1.00, + 18.00, 12.00, 20.00, 16.00, 15.00, 20.00, 19.00, 30.00, 23.00, 11.00, 12.00, 24.00, 13.00, 27.00, 2.00, 3.00, 36.00, 9.00, 13.00, 14.00, + 16.00, 23.00, 23.00, 24.00, 13.00, 22.00, 18.00, 26.00, 24.00, 22.00, 28.00, 23.00, 25.00, 28.00, 7.00, 14.00, 31.00, 15.00, 23.00, 25.00, + 15.00, 20.00, 15.00, 19.00, 8.00, 27.00, 25.00, 19.00, 21.00, 28.00, 11.00, 14.00, 25.00, 24.00, 11.00, 29.00, 19.00, 25.00, 16.00, 33.00, + 18.00, 9.00, 3.00, 13.00, 13.00, 13.00, 21.00, 20.00, 23.00, 7.00, 11.00, 18.00, 25.00, 26.00, 30.00, 12.00, 21.00, 21.00, 27.00, 14.00, + 21.00, 31.00, 3.00, 21.00, 14.00, 20.00, 30.00, 20.00, 21.00, 32.00, 27.00, 24.00, 16.00, 31.00, 5.00, 20.00, 14.00, 17.00, 15.00, 16.00, + 19.00, 13.00, 4.00, 21.00, 20.00, 29.00, 10.00, 22.00, 19.00, 24.00, 29.00, 14.00, 10.00, 15.00, 18.00, 7.00, 28.00, 17.00, 7.00, 2.00, + 1.00, 19.00, 17.00, 23.00, 31.00, 13.00, 20.00, 36.00, 17.00, 27.00, 28.00, 18.00, 20.00, 29.00, 17.00, 23.00, 24.00, 23.00, 26.00, 17.00, + 9.00, 26.00, 16.00, 18.00, 10.00, 28.00, 32.00, 20.00, 19.00, 14.00, 22.00, 23.00, 13.00, 22.00, 14.00, 7.00, 20.00, 10.00, 25.00, 9.00, + 7.00, 2.00, 31.00, 16.00, 16.00, 22.00, 5.00, 15.00, 26.00, 23.00, 10.00, 18.00, 32.00, 24.00, 15.00, 30.00, 16.00, 13.00, 15.00, 7.00, + 11.00, 6.00, 21.00, 14.00, 25.00, 21.00, 11.00, 16.00, 14.00, 26.00, 25.00, 15.00, 22.00, 24.00, 4.00, 19.00, 14.00, 26.00, 22.00, 17.00, + 13.00, 14.00, 7.00, 32.00, 20.00, 33.00, 13.00, 7.00, 29.00, 8.00, 26.00, 6.00, 9.00, 13.00, 22.00, 23.00, 8.00, 22.00, 22.00, 10.00, + 24.00, 2.00, 17.00, 9.00, 22.00, 30.00, 24.00, 33.00, 25.00, 17.00, 23.00, 9.00, 13.00, 15.00, 23.00, 10.00, 1.00, 22.00, 17.00, 10.00, + 32.00, 24.00, 26.00, 4.00, 15.00, 0.00, 27.00, 23.00, 28.00, 23.00, 30.00, 7.00, 16.00, 33.00, 20.00, 14.00, 23.00, 14.00, 20.00, 14.00, + 7.00, 25.00, 24.00, 12.00, 29.00, 16.00, 17.00, 20.00, 29.00, 16.00, 13.00, 18.00, 26.00, 18.00, 18.00, 17.00, 13.00, 29.00, 14.00, 17.00, + 24.00, 16.00, 21.00, 14.00, 26.00, 9.00, 11.00, 28.00, 25.00, 15.00, 15.00, 12.00, 6.00, 14.00, 27.00, 14.00, 24.00, 18.00, 18.00, 14.00, + 32.00, 21.00, 26.00, 13.00, 6.00, 24.00, 22.00, 27.00, 17.00, 26.00, 19.00, 21.00, 19.00, 9.00, 21.00, 25.00, 17.00, 27.00, 15.00, 18.00 +}; + diff --git a/mt/ae_vvadd/vvadd_gendata.pl b/mt/ae_vvadd/vvadd_gendata.pl new file mode 100755 index 0000000..a9fceac --- /dev/null +++ b/mt/ae_vvadd/vvadd_gendata.pl @@ -0,0 +1,139 @@ +#!/usr/bin/perl -w +#========================================================================== +# vvadd_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the vvadd benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: vvadd_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[DATA_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3.2f",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + my @values1; + my @values2; + my @sum; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + my $value1 = int(rand(19)); + my $value2 = int(rand(19)); + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @sum, $value1 + $value2 ); + } + + + print "\n\#define DATA_SIZE ".$opts{"size"}." \n\n"; + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@sum ); + +} + +main(); + diff --git a/mt/af_matmul/Ronald.c b/mt/af_matmul/Ronald.c new file mode 100644 index 0000000..31ea15d --- /dev/null +++ b/mt/af_matmul/Ronald.c @@ -0,0 +1,246 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i,j,k,l; + data_t element1, element2, element3, element4, element5, element6, element7, element8; + int row, row2; + int column1, column2, column3, column4, column5, column6, column7, column8; + data_t temp[32]={0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + data_t temp2[32]={0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + if (coreid == 0){ + for (i=0; i<32; i+=2){ + row = i*32; + row2 = (i+1)*32; + for (j=0; j<16; j+=4){ + element1 = A[row+j]; + element2 = A[row+j+1]; + element3 = A[row+j+2]; + element4 = A[row+j+3]; + column1 = j*32; + column2 = (j+1)*32; + column3 = (j+2)*32; + column4 = (j+3)*32; + element5 = A[row2+j]; + element6 = A[row2+j+1]; + element7 = A[row2+j+2]; + element8 = A[row2+j+3]; + + for (k=0; k<32; k+=4){ + temp[k]+=element1*B[column1+k]+element2*B[column2+k]+element3*B[column3+k]+element4*B[column4+k]; + temp[k+1]+=element1*B[column1+k+1]+element2*B[column2+k+1]+element3*B[column3+k+1]+element4*B[column4+k+1]; + temp[k+2]+=element1*B[column1+k+2]+element2*B[column2+k+2]+element3*B[column3+k+2]+element4*B[column4+k+2]; + temp[k+3]+=element1*B[column1+k+3]+element2*B[column2+k+3]+element3*B[column3+k+3]+element4*B[column4+k+3]; + temp2[k]+=element5*B[column1+k]+element6*B[column2+k]+element7*B[column3+k]+element8*B[column4+k]; + temp2[k+1]+=element5*B[column1+k+1]+element6*B[column2+k+1]+element7*B[column3+k+1]+element8*B[column4+k+1]; + temp2[k+2]+=element5*B[column1+k+2]+element6*B[column2+k+2]+element7*B[column3+k+2]+element8*B[column4+k+2]; + temp2[k+3]+=element5*B[column1+k+3]+element6*B[column2+k+3]+element7*B[column3+k+3]+element8*B[column4+k+3]; + } + if (j==12){ + for (l=0; l<32; l++){ + C[row+l]+=temp[l]; + C[row2+l]+=temp2[l]; + temp[l]=0; + temp2[l]=0; + } + } + } + } + } + else if (coreid==1){ + for (i=0; i<32; i+=2){ + row = (31-i)*32; + row2 = (31-i-1)*32; + for (j=16; j<32; j+=4){ + element1 = A[row+j]; + element2 = A[row+j+1]; + element3 = A[row+j+2]; + element4 = A[row+j+3]; + element5 = A[row2+j]; + element6 = A[row2+j+1]; + element7 = A[row2+j+2]; + element8 = A[row2+j+3]; + column1 = j*32; + column2 = (j+1)*32; + column3 = (j+2)*32; + column4 = (j+3)*32; + for (k=0; k<32; k+=4){ + temp[k]+=element1*B[column1+k]+element2*B[column2+k]+element3*B[column3+k]+element4*B[column4+k]; + temp[k+1]+=element1*B[column1+k+1]+element2*B[column2+k+1]+element3*B[column3+k+1]+element4*B[column4+k+1]; + temp[k+2]+=element1*B[column1+k+2]+element2*B[column2+k+2]+element3*B[column3+k+2]+element4*B[column4+k+2]; + temp[k+3]+=element1*B[column1+k+3]+element2*B[column2+k+3]+element3*B[column3+k+3]+element4*B[column4+k+3]; + temp2[k]+=element5*B[column1+k]+element6*B[column2+k]+element7*B[column3+k]+element8*B[column4+k]; + temp2[k+1]+=element5*B[column1+k+1]+element6*B[column2+k+1]+element7*B[column3+k+1]+element8*B[column4+k+1]; + temp2[k+2]+=element5*B[column1+k+2]+element6*B[column2+k+2]+element7*B[column3+k+2]+element8*B[column4+k+2]; + temp2[k+3]+=element5*B[column1+k+3]+element6*B[column2+k+3]+element7*B[column3+k+3]+element8*B[column4+k+3]; + } + if (j==28){ + for (l=0; l<32; l++){ + C[row+l]+=temp[l]; + C[row2+l]+=temp2[l]; + temp[l]=0; + temp2[l]=0; + } + } + } + } + } + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + +} +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + + // Execute the provided, naive matmul + barrier(); + stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + + // clear results from the first trial + size_t i; + if (coreid == 0) + for (i=0; i < ARRAY_SIZE; i++) + results_data[i] = 0; + barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} diff --git a/mt/af_matmul/Ronald.c~ b/mt/af_matmul/Ronald.c~ new file mode 100644 index 0000000..31ea15d --- /dev/null +++ b/mt/af_matmul/Ronald.c~ @@ -0,0 +1,246 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i,j,k,l; + data_t element1, element2, element3, element4, element5, element6, element7, element8; + int row, row2; + int column1, column2, column3, column4, column5, column6, column7, column8; + data_t temp[32]={0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + data_t temp2[32]={0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + if (coreid == 0){ + for (i=0; i<32; i+=2){ + row = i*32; + row2 = (i+1)*32; + for (j=0; j<16; j+=4){ + element1 = A[row+j]; + element2 = A[row+j+1]; + element3 = A[row+j+2]; + element4 = A[row+j+3]; + column1 = j*32; + column2 = (j+1)*32; + column3 = (j+2)*32; + column4 = (j+3)*32; + element5 = A[row2+j]; + element6 = A[row2+j+1]; + element7 = A[row2+j+2]; + element8 = A[row2+j+3]; + + for (k=0; k<32; k+=4){ + temp[k]+=element1*B[column1+k]+element2*B[column2+k]+element3*B[column3+k]+element4*B[column4+k]; + temp[k+1]+=element1*B[column1+k+1]+element2*B[column2+k+1]+element3*B[column3+k+1]+element4*B[column4+k+1]; + temp[k+2]+=element1*B[column1+k+2]+element2*B[column2+k+2]+element3*B[column3+k+2]+element4*B[column4+k+2]; + temp[k+3]+=element1*B[column1+k+3]+element2*B[column2+k+3]+element3*B[column3+k+3]+element4*B[column4+k+3]; + temp2[k]+=element5*B[column1+k]+element6*B[column2+k]+element7*B[column3+k]+element8*B[column4+k]; + temp2[k+1]+=element5*B[column1+k+1]+element6*B[column2+k+1]+element7*B[column3+k+1]+element8*B[column4+k+1]; + temp2[k+2]+=element5*B[column1+k+2]+element6*B[column2+k+2]+element7*B[column3+k+2]+element8*B[column4+k+2]; + temp2[k+3]+=element5*B[column1+k+3]+element6*B[column2+k+3]+element7*B[column3+k+3]+element8*B[column4+k+3]; + } + if (j==12){ + for (l=0; l<32; l++){ + C[row+l]+=temp[l]; + C[row2+l]+=temp2[l]; + temp[l]=0; + temp2[l]=0; + } + } + } + } + } + else if (coreid==1){ + for (i=0; i<32; i+=2){ + row = (31-i)*32; + row2 = (31-i-1)*32; + for (j=16; j<32; j+=4){ + element1 = A[row+j]; + element2 = A[row+j+1]; + element3 = A[row+j+2]; + element4 = A[row+j+3]; + element5 = A[row2+j]; + element6 = A[row2+j+1]; + element7 = A[row2+j+2]; + element8 = A[row2+j+3]; + column1 = j*32; + column2 = (j+1)*32; + column3 = (j+2)*32; + column4 = (j+3)*32; + for (k=0; k<32; k+=4){ + temp[k]+=element1*B[column1+k]+element2*B[column2+k]+element3*B[column3+k]+element4*B[column4+k]; + temp[k+1]+=element1*B[column1+k+1]+element2*B[column2+k+1]+element3*B[column3+k+1]+element4*B[column4+k+1]; + temp[k+2]+=element1*B[column1+k+2]+element2*B[column2+k+2]+element3*B[column3+k+2]+element4*B[column4+k+2]; + temp[k+3]+=element1*B[column1+k+3]+element2*B[column2+k+3]+element3*B[column3+k+3]+element4*B[column4+k+3]; + temp2[k]+=element5*B[column1+k]+element6*B[column2+k]+element7*B[column3+k]+element8*B[column4+k]; + temp2[k+1]+=element5*B[column1+k+1]+element6*B[column2+k+1]+element7*B[column3+k+1]+element8*B[column4+k+1]; + temp2[k+2]+=element5*B[column1+k+2]+element6*B[column2+k+2]+element7*B[column3+k+2]+element8*B[column4+k+2]; + temp2[k+3]+=element5*B[column1+k+3]+element6*B[column2+k+3]+element7*B[column3+k+3]+element8*B[column4+k+3]; + } + if (j==28){ + for (l=0; l<32; l++){ + C[row+l]+=temp[l]; + C[row2+l]+=temp2[l]; + temp[l]=0; + temp2[l]=0; + } + } + } + } + } + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + +} +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + + // Execute the provided, naive matmul + barrier(); + stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + + // clear results from the first trial + size_t i; + if (coreid == 0) + for (i=0; i < ARRAY_SIZE; i++) + results_data[i] = 0; + barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} diff --git a/mt/af_matmul/af_matmul.c b/mt/af_matmul/af_matmul.c new file mode 100755 index 0000000..c2d72ab --- /dev/null +++ b/mt/af_matmul/af_matmul.c @@ -0,0 +1,237 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +data_t mult(data_t x, data_t y) +{ data_t result = 0; + size_t i; + for (i=0; i < x; i++) { + result += y; + } + return result; +} +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + + void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + size_t i, j, k, l; + int row,row2, column, column2, column3, column4, column5, column6, column7, column8; + data_t element, element2, element3, element4, element5, element6, element7, element8; + data_t B1, B2, B3, B4; + data_t temp_mat[32]={0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + data_t temp_mat2[32]={0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + int local_lda = lda; + + for (l=coreid*local_lda/ncores; l<local_lda*(1+coreid)/ncores; l+=2){ + row=l*32; + row2=(l+1)*32; + //element = A[row]; + //element5 = A[row2]; + for (i=0; i<local_lda; i+=4){ + element = A[row+i]; + element2 = A[row+i+1]; + element3 = A[row+i+2]; + element4 = A[row+i+3]; + + element5 = A[row2+i]; + element6 = A[row2+i+1]; + element7 = A[row2+i+2]; + element8 = A[row2+i+3]; + + column=i*local_lda; + column2=(i+1)*local_lda; + column3=(i+2)*local_lda; + column4=(i+3)*local_lda; + + B1 = B[column]; + B2 = B[column2]; + B3 = B[column3]; + B4 = B[column4]; + + for (j=0; j<lda; j+=4){ + temp_mat[j]+=element*B1+element2*B2+element3*B3+element4*B4; + temp_mat[j+1]+=element*B[column+j+1]+element2*B[column2+j+1]+element3*B[column3+j+1]+element4*B[column4+j+1]; + temp_mat[j+2]+=element*B[column+j+2]+element2*B[column2+j+2]+element3*B[column3+j+2]+element4*B[column4+j+2]; + temp_mat[j+3]+=element*B[column+j+3]+element2*B[column2+j+3]+element3*B[column3+j+3]+element4*B[column4+j+3]; + + temp_mat2[j]+=element5*B1+element6*B2+element7*B3+element8*B4; + temp_mat2[j+1]+=element5*B[column+j+1]+element6*B[column2+j+1]+element7*B[column3+j+1]+element8*B[column4+j+1]; + temp_mat2[j+2]+=element5*B[column+j+2]+element6*B[column2+j+2]+element7*B[column3+j+2]+element8*B[column4+j+2]; + temp_mat2[j+3]+=element5*B[column+j+3]+element6*B[column2+j+3]+element7*B[column3+j+3]+element8*B[column4+j+3]; + + B1 = B[column+j+4]; + B2 = B[column2+j+4]; + B3 = B[column3+j+4]; + B4 = B[column4+j+4]; + + } + //element = A[row+i+4]; + //element5 = A[row2+i+4]; + } + + for(k=0; k<local_lda; k++){ + C[row+k]=temp_mat[k]; + temp_mat[k]=0; + C[row2+k]=temp_mat2[k]; + temp_mat2[k]=0; + + } + + + } + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + +// // Execute the provided, naive matmul +// barrier(); +// stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); +// +// +// // verify +// verify(ARRAY_SIZE, results_data, verify_data); +// +// // clear results from the first trial +// size_t i; +// if (coreid == 0) +// for (i=0; i < ARRAY_SIZE; i++) +// results_data[i] = 0; +// barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} diff --git a/mt/af_matmul/bestattemptthusfar.c b/mt/af_matmul/bestattemptthusfar.c new file mode 100644 index 0000000..ab8e7c1 --- /dev/null +++ b/mt/af_matmul/bestattemptthusfar.c @@ -0,0 +1,212 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + size_t i, j, k, l; + int row,row2, column, column2, column3, column4, column5, column6, column7, column8; + data_t element, element2, element3, element4, element5, element6, element7, element8; + data_t temp_mat[32]={0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + data_t temp_mat2[32]={0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + //for (i=coreid*max_dim/ncores; i<(max_dim/ncores+coreid*max_dim/ncores); i+=8){ + for (l=coreid*32/ncores; l<32*(1+coreid)/ncores; l+=2){ + row=l*lda; + row2=(l+1)*lda; + for (i=0; i<lda; i+=4){ + element = A[row+i]; + element2 = A[row+i+1]; + element3 = A[row+i+2]; + element4 = A[row+i+3]; + + element5 = A[row2+i]; + element6 = A[row2+i+1]; + element7 = A[row2+i+2]; + element8 = A[row2+i+3]; + + column=i*lda; + column2=(i+1)*lda; + column3=(i+2)*lda; + column4=(i+3)*lda; + + for (j=0; j<lda; j+=4){ + temp_mat[j]+=element*B[column+j]+element2*B[column2+j]+element3*B[column3+j]+element4*B[column4+j]; + temp_mat[j+1]+=element*B[column+j+1]+element2*B[column2+j+1]+element3*B[column3+j+1]+element4*B[column4+j+1]; + temp_mat[j+2]+=element*B[column+j+2]+element2*B[column2+j+2]+element3*B[column3+j+2]+element4*B[column4+j+2]; + temp_mat[j+3]+=element*B[column+j+3]+element2*B[column2+j+3]+element3*B[column3+j+3]+element4*B[column4+j+3]; + + temp_mat2[j]+=element5*B[column+j]+element6*B[column2+j]+element7*B[column3+j]+element8*B[column4+j]; + temp_mat2[j+1]+=element5*B[column+j+1]+element6*B[column2+j+1]+element7*B[column3+j+1]+element8*B[column4+j+1]; + temp_mat2[j+2]+=element5*B[column+j+2]+element6*B[column2+j+2]+element7*B[column3+j+2]+element8*B[column4+j+2]; + temp_mat2[j+3]+=element5*B[column+j+3]+element6*B[column2+j+3]+element7*B[column3+j+3]+element8*B[column4+j+3]; + } + + } + + for(k=0; k<32; k++){ + C[row+k]=temp_mat[k]; + temp_mat[k]=0; + C[row2+k]=temp_mat2[k]; + temp_mat2[k]=0; + + + } + } + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + +} +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + + // Execute the provided, naive matmul + barrier(); + stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + + // clear results from the first trial + size_t i; + if (coreid == 0) + for (i=0; i < ARRAY_SIZE; i++) + results_data[i] = 0; + barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} diff --git a/mt/af_matmul/bestattemptthusfar.c~ b/mt/af_matmul/bestattemptthusfar.c~ new file mode 100644 index 0000000..24112d3 --- /dev/null +++ b/mt/af_matmul/bestattemptthusfar.c~ @@ -0,0 +1,212 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + size_t i, j, k, l; + int row,row2, column, column2, column3, column4, column5, column6, column7, column8; + data_t element, element2, element3, element4, element5, element6, element7, element8; + data_t temp_mat[32]={0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + data_t temp_mat2[32]={0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + //for (i=coreid*max_dim/ncores; i<(max_dim/ncores+coreid*max_dim/ncores); i+=8){ + for (l=coreid*32/ncores; l<32*(1+coreid)/ncores; l+=4){ + row=l*lda; + row2=(l+1)*lda; + for (i=0; i<lda; i+=4){ + element = A[row+i]; + element2 = A[row+i+1]; + element3 = A[row+i+2]; + element4 = A[row+i+3]; + + element5 = A[row2+i]; + element6 = A[row2+i+1]; + element7 = A[row2+i+2]; + element8 = A[row2+i+3]; + + column=i*lda; + column2=(i+1)*lda; + column3=(i+2)*lda; + column4=(i+3)*lda; + + for (j=0; j<lda; j+=4){ + temp_mat[j]+=element*B[column+j]+element2*B[column2+j]+element3*B[column3+j]+element4*B[column4+j]; + temp_mat[j+1]+=element*B[column+j+1]+element2*B[column2+j+1]+element3*B[column3+j+1]+element4*B[column4+j+1]; + temp_mat[j+2]+=element*B[column+j+2]+element2*B[column2+j+2]+element3*B[column3+j+2]+element4*B[column4+j+2]; + temp_mat[j+3]+=element*B[column+j+3]+element2*B[column2+j+3]+element3*B[column3+j+3]+element4*B[column4+j+3]; + + temp_mat2[j]+=element5*B[column+j]+element6*B[column2+j]+element7*B[column3+j]+element8*B[column4+j]; + temp_mat2[j+1]+=element5*B[column+j+1]+element6*B[column2+j+1]+element7*B[column3+j+1]+element8*B[column4+j+1]; + temp_mat2[j+2]+=element5*B[column+j+2]+element6*B[column2+j+2]+element7*B[column3+j+2]+element8*B[column4+j+2]; + temp_mat2[j+3]+=element5*B[column+j+3]+element6*B[column2+j+3]+element7*B[column3+j+3]+element8*B[column4+j+3]; + } + + } + + for(k=0; k<32; k++){ + C[row+k]=temp_mat[k]; + temp_mat[k]=0; + C[row2+k]=temp_mat2[k]; + temp_mat2[k]=0; + + + } + } + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + +} +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + + // Execute the provided, naive matmul + barrier(); + stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + + // clear results from the first trial + size_t i; + if (coreid == 0) + for (i=0; i < ARRAY_SIZE; i++) + results_data[i] = 0; + barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} diff --git a/mt/af_matmul/bestattemptthusfar2.c b/mt/af_matmul/bestattemptthusfar2.c new file mode 100644 index 0000000..a35d302 --- /dev/null +++ b/mt/af_matmul/bestattemptthusfar2.c @@ -0,0 +1,238 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +data_t mult(data_t x, data_t y) +{ data_t result = 0; + size_t i; + for (i=0; i < x; i++) { + result += y; + } + return result; +} +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + + size_t i, j, k, l; + int row,row2, column, column2, column3, column4, column5, column6, column7, column8; + data_t element, element2, element3, element4, element5, element6, element7, element8; + data_t B1, B2, B3, B4; + data_t temp_mat[32]={0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + data_t temp_mat2[32]={0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + int local_lda = lda; + //for (i=coreid*max_dim/ncores; i<(max_dim/ncores+coreid*max_dim/ncores); i+=8){ + for (l=coreid*local_lda/ncores; l<local_lda*(1+coreid)/ncores; l+=2){ + row=l*32; + row2=(l+1)*32; + //element = A[row]; + //element5 = A[row2]; + for (i=0; i<local_lda; i+=4){ + element = A[row+i]; + element2 = A[row+i+1]; + element3 = A[row+i+2]; + element4 = A[row+i+3]; + + element5 = A[row2+i]; + element6 = A[row2+i+1]; + element7 = A[row2+i+2]; + element8 = A[row2+i+3]; + + column=i*local_lda; + column2=(i+1)*local_lda; + column3=(i+2)*local_lda; + column4=(i+3)*local_lda; + + B1 = B[column]; + B2 = B[column2]; + B3 = B[column3]; + B4 = B[column4]; + + for (j=0; j<lda; j+=4){ + temp_mat[j]+=element*B1+element2*B2+element3*B3+element4*B4; + temp_mat[j+1]+=element*B[column+j+1]+element2*B[column2+j+1]+element3*B[column3+j+1]+element4*B[column4+j+1]; + temp_mat[j+2]+=element*B[column+j+2]+element2*B[column2+j+2]+element3*B[column3+j+2]+element4*B[column4+j+2]; + temp_mat[j+3]+=element*B[column+j+3]+element2*B[column2+j+3]+element3*B[column3+j+3]+element4*B[column4+j+3]; + + temp_mat2[j]+=element5*B1+element6*B2+element7*B3+element8*B4; + temp_mat2[j+1]+=element5*B[column+j+1]+element6*B[column2+j+1]+element7*B[column3+j+1]+element8*B[column4+j+1]; + temp_mat2[j+2]+=element5*B[column+j+2]+element6*B[column2+j+2]+element7*B[column3+j+2]+element8*B[column4+j+2]; + temp_mat2[j+3]+=element5*B[column+j+3]+element6*B[column2+j+3]+element7*B[column3+j+3]+element8*B[column4+j+3]; + + B1 = B[column+j+4]; + B2 = B[column2+j+4]; + B3 = B[column3+j+4]; + B4 = B[column4+j+4]; + + } + //element = A[row+i+4]; + //element5 = A[row2+i+4]; + } + + for(k=0; k<local_lda; k++){ + C[row+k]=temp_mat[k]; + temp_mat[k]=0; + C[row2+k]=temp_mat2[k]; + temp_mat2[k]=0; + + } + + + } + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + +} +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + + // Execute the provided, naive matmul + barrier(); + stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + + // clear results from the first trial + size_t i; + if (coreid == 0) + for (i=0; i < ARRAY_SIZE; i++) + results_data[i] = 0; + barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} diff --git a/mt/af_matmul/dataset.h b/mt/af_matmul/dataset.h new file mode 100755 index 0000000..dde3ee4 --- /dev/null +++ b/mt/af_matmul/dataset.h @@ -0,0 +1,174 @@ + +#define ARRAY_SIZE 1024 + + +#define DIM_SIZE 32 + +static data_t input1_data[ARRAY_SIZE] = +{ + 0, 3, 2, 0, 3, 1, 0, 3, 2, 3, 2, 0, 3, 3, 1, 2, 3, 0, 0, 1, + 1, 1, 2, 3, 1, 2, 3, 1, 1, 3, 2, 2, 0, 1, 3, 2, 2, 2, 0, 0, + 1, 0, 1, 3, 3, 0, 3, 3, 3, 3, 0, 3, 2, 1, 2, 2, 0, 0, 3, 0, + 1, 1, 0, 3, 3, 1, 2, 3, 3, 0, 1, 2, 1, 0, 1, 2, 2, 1, 0, 3, + 1, 0, 2, 2, 1, 1, 1, 1, 1, 1, 2, 0, 3, 1, 1, 2, 2, 3, 3, 1, + 3, 2, 0, 0, 0, 3, 3, 3, 2, 1, 2, 3, 1, 0, 0, 0, 0, 1, 2, 2, + 1, 1, 3, 3, 3, 1, 1, 2, 3, 1, 3, 3, 2, 3, 2, 1, 2, 3, 0, 2, + 2, 1, 1, 0, 0, 0, 0, 0, 1, 3, 3, 1, 1, 1, 2, 2, 3, 2, 1, 1, + 1, 1, 3, 0, 2, 2, 1, 3, 2, 1, 2, 2, 1, 3, 1, 3, 1, 3, 2, 3, + 1, 2, 1, 3, 2, 2, 0, 1, 0, 0, 1, 2, 3, 3, 1, 0, 0, 0, 3, 1, + 2, 3, 2, 3, 2, 0, 0, 0, 0, 0, 3, 1, 3, 0, 0, 0, 3, 1, 1, 1, + 1, 2, 1, 2, 3, 2, 0, 0, 2, 2, 3, 0, 3, 0, 0, 3, 0, 3, 1, 3, + 3, 1, 1, 1, 2, 2, 1, 3, 0, 3, 3, 1, 0, 0, 3, 2, 1, 3, 3, 3, + 1, 0, 1, 1, 2, 1, 0, 1, 1, 2, 2, 3, 1, 2, 2, 2, 0, 1, 3, 3, + 3, 2, 2, 1, 0, 1, 2, 0, 1, 1, 1, 1, 2, 3, 2, 2, 3, 3, 0, 0, + 2, 0, 0, 0, 3, 0, 1, 0, 3, 0, 0, 0, 3, 0, 0, 2, 0, 2, 0, 0, + 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 0, 2, 0, 0, 3, 3, 2, 3, 3, 0, + 1, 0, 2, 2, 0, 3, 3, 1, 1, 0, 2, 3, 2, 1, 1, 0, 1, 2, 1, 2, + 2, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 3, 3, 2, 0, 0, 1, 3, 0, 3, + 3, 0, 0, 0, 0, 3, 3, 1, 0, 0, 3, 3, 2, 1, 2, 1, 3, 3, 0, 1, + 3, 0, 2, 3, 1, 3, 3, 3, 3, 3, 0, 1, 1, 3, 0, 2, 2, 3, 1, 2, + 2, 2, 1, 3, 3, 0, 3, 0, 0, 2, 0, 2, 3, 0, 1, 3, 2, 2, 0, 0, + 2, 3, 0, 2, 2, 2, 3, 1, 0, 3, 3, 3, 3, 1, 0, 3, 3, 2, 0, 3, + 2, 0, 3, 0, 2, 0, 0, 2, 2, 1, 0, 2, 3, 1, 1, 1, 1, 2, 3, 3, + 3, 0, 0, 3, 3, 3, 2, 3, 3, 1, 2, 2, 3, 1, 2, 1, 1, 3, 0, 1, + 2, 0, 2, 0, 0, 1, 3, 2, 0, 1, 3, 2, 3, 3, 0, 0, 0, 1, 0, 3, + 3, 2, 2, 2, 1, 1, 2, 2, 1, 3, 2, 0, 1, 3, 2, 0, 2, 1, 3, 0, + 0, 0, 1, 3, 3, 2, 2, 2, 3, 1, 0, 0, 1, 1, 2, 1, 3, 1, 1, 2, + 2, 3, 2, 3, 0, 2, 3, 3, 0, 3, 0, 0, 1, 0, 0, 0, 1, 3, 1, 1, + 2, 3, 2, 1, 1, 2, 2, 2, 3, 0, 1, 1, 2, 1, 2, 0, 2, 3, 1, 3, + 0, 1, 1, 3, 0, 2, 3, 0, 1, 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 2, + 3, 0, 1, 1, 1, 1, 2, 0, 1, 2, 0, 1, 1, 1, 0, 1, 3, 2, 3, 1, + 0, 2, 1, 2, 1, 3, 3, 1, 0, 2, 2, 3, 1, 3, 1, 3, 0, 1, 0, 3, + 0, 3, 2, 0, 3, 3, 3, 0, 3, 2, 2, 2, 1, 3, 0, 0, 1, 1, 3, 0, + 1, 2, 1, 0, 0, 0, 3, 2, 2, 0, 0, 2, 1, 3, 0, 0, 3, 0, 0, 2, + 1, 1, 2, 2, 1, 3, 2, 2, 1, 1, 2, 1, 3, 2, 1, 1, 3, 0, 1, 3, + 3, 2, 2, 1, 0, 3, 2, 2, 2, 3, 0, 1, 3, 3, 2, 3, 0, 3, 2, 3, + 1, 1, 0, 0, 0, 2, 3, 0, 3, 0, 1, 1, 3, 1, 3, 2, 1, 1, 2, 1, + 3, 2, 0, 2, 1, 0, 2, 3, 2, 3, 2, 1, 2, 3, 0, 0, 1, 1, 0, 0, + 2, 1, 0, 1, 2, 2, 2, 2, 0, 3, 3, 1, 0, 0, 0, 0, 3, 1, 1, 0, + 0, 0, 0, 1, 2, 2, 1, 3, 0, 2, 3, 2, 3, 2, 2, 1, 2, 2, 3, 3, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 2, 2, 3, 1, 1, 1, 0, 0, 0, 3, 0, + 1, 0, 3, 1, 1, 3, 0, 1, 2, 2, 0, 0, 3, 3, 3, 3, 2, 1, 0, 0, + 1, 0, 2, 0, 1, 1, 0, 0, 3, 3, 2, 1, 1, 1, 0, 1, 1, 2, 2, 1, + 1, 2, 0, 3, 1, 3, 1, 0, 3, 0, 3, 1, 1, 1, 0, 2, 0, 3, 1, 0, + 1, 0, 2, 0, 2, 3, 3, 3, 1, 2, 3, 2, 2, 0, 1, 1, 0, 3, 3, 1, + 3, 3, 2, 0, 2, 0, 2, 2, 3, 3, 3, 0, 2, 3, 3, 1, 3, 2, 2, 2, + 0, 2, 3, 0, 2, 0, 3, 2, 2, 1, 1, 0, 2, 2, 2, 0, 2, 2, 0, 1, + 3, 2, 1, 3, 2, 2, 0, 3, 3, 1, 2, 2, 0, 0, 3, 2, 1, 2, 2, 1, + 3, 1, 2, 0, 0, 1, 1, 2, 1, 3, 2, 2, 3, 0, 2, 1, 3, 2, 1, 3, + 2, 3, 3, 1, 2, 1, 2, 2, 0, 0, 0, 3, 0, 2, 3, 1, 0, 0, 2, 3, + 3, 2, 2, 1 +}; + +static data_t input2_data[ARRAY_SIZE] = +{ + 1, 1, 0, 3, 1, 2, 0, 0, 0, 0, 0, 2, 1, 2, 3, 0, 0, 3, 3, 2, + 2, 1, 2, 3, 3, 0, 2, 2, 1, 1, 2, 2, 0, 2, 2, 1, 2, 3, 2, 2, + 3, 3, 2, 2, 1, 1, 1, 1, 2, 1, 2, 2, 3, 3, 3, 0, 0, 3, 2, 3, + 2, 3, 1, 2, 1, 1, 2, 2, 0, 1, 0, 3, 2, 1, 1, 1, 2, 0, 1, 2, + 2, 0, 2, 1, 3, 3, 2, 3, 2, 0, 3, 1, 3, 3, 2, 0, 1, 0, 1, 1, + 2, 2, 1, 1, 2, 2, 1, 2, 3, 3, 1, 3, 2, 2, 2, 3, 3, 1, 0, 2, + 1, 0, 0, 0, 1, 1, 2, 0, 3, 2, 3, 3, 0, 2, 3, 1, 0, 0, 2, 1, + 2, 0, 2, 1, 1, 2, 3, 1, 3, 2, 1, 0, 0, 0, 0, 0, 2, 2, 0, 2, + 1, 2, 0, 3, 2, 2, 0, 0, 3, 2, 1, 1, 3, 0, 2, 0, 0, 1, 0, 2, + 3, 3, 1, 3, 3, 0, 0, 2, 2, 0, 0, 0, 1, 0, 0, 1, 3, 0, 2, 1, + 3, 2, 2, 1, 3, 2, 0, 1, 2, 2, 3, 2, 1, 1, 1, 1, 3, 0, 1, 3, + 2, 2, 3, 1, 1, 2, 0, 2, 1, 1, 2, 3, 1, 0, 1, 0, 1, 1, 0, 0, + 2, 0, 3, 0, 3, 0, 3, 2, 2, 3, 3, 2, 1, 0, 2, 2, 1, 1, 0, 3, + 3, 2, 2, 0, 0, 3, 0, 1, 0, 0, 1, 2, 0, 1, 3, 0, 1, 2, 2, 0, + 0, 3, 0, 3, 0, 1, 1, 2, 0, 0, 0, 3, 0, 0, 2, 1, 1, 1, 0, 2, + 1, 3, 1, 2, 0, 3, 0, 3, 1, 3, 0, 0, 2, 2, 2, 2, 3, 3, 2, 1, + 2, 2, 1, 1, 2, 2, 2, 2, 0, 3, 0, 0, 2, 0, 1, 2, 0, 3, 2, 3, + 2, 0, 2, 1, 2, 1, 0, 2, 1, 1, 3, 2, 2, 3, 1, 0, 3, 3, 1, 0, + 3, 2, 2, 0, 0, 3, 0, 0, 2, 0, 3, 2, 3, 1, 1, 0, 0, 2, 3, 0, + 0, 1, 1, 1, 2, 1, 3, 2, 1, 3, 0, 1, 3, 3, 1, 1, 1, 1, 1, 1, + 0, 0, 2, 3, 2, 2, 2, 3, 2, 3, 1, 2, 3, 2, 2, 2, 0, 1, 3, 0, + 1, 1, 0, 1, 0, 1, 1, 3, 3, 1, 2, 2, 3, 2, 0, 2, 2, 0, 1, 3, + 0, 1, 3, 2, 1, 3, 3, 2, 0, 1, 3, 2, 0, 2, 1, 1, 0, 3, 0, 1, + 1, 1, 1, 1, 3, 0, 0, 1, 0, 2, 3, 1, 3, 0, 2, 1, 3, 0, 3, 0, + 3, 2, 2, 0, 0, 2, 1, 3, 3, 2, 3, 2, 2, 1, 2, 2, 3, 0, 3, 2, + 2, 0, 3, 2, 3, 2, 0, 0, 1, 2, 0, 0, 2, 0, 0, 3, 3, 2, 0, 0, + 3, 3, 0, 2, 3, 1, 0, 1, 0, 2, 1, 0, 2, 1, 0, 1, 0, 3, 0, 2, + 2, 3, 0, 0, 2, 1, 0, 1, 0, 0, 0, 2, 2, 3, 2, 0, 3, 3, 2, 1, + 0, 0, 3, 1, 2, 3, 3, 1, 0, 3, 1, 1, 0, 3, 3, 3, 2, 2, 2, 0, + 1, 2, 0, 3, 0, 1, 0, 1, 1, 0, 1, 2, 0, 3, 2, 0, 1, 2, 2, 0, + 2, 0, 0, 1, 0, 3, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 1, 1, 1, 0, + 2, 1, 1, 3, 2, 0, 2, 1, 1, 0, 2, 2, 1, 3, 0, 2, 1, 0, 1, 2, + 0, 1, 3, 2, 3, 2, 1, 0, 2, 0, 2, 2, 3, 1, 1, 3, 2, 3, 2, 2, + 0, 2, 0, 0, 0, 3, 2, 0, 2, 2, 3, 3, 3, 2, 1, 2, 0, 0, 3, 0, + 2, 0, 3, 2, 2, 3, 0, 3, 2, 1, 2, 2, 1, 2, 0, 0, 3, 1, 2, 0, + 2, 3, 2, 2, 1, 1, 1, 3, 3, 3, 3, 3, 1, 3, 0, 1, 3, 2, 2, 1, + 0, 1, 1, 2, 1, 2, 3, 1, 2, 2, 1, 2, 1, 1, 0, 3, 3, 1, 1, 3, + 2, 0, 0, 1, 2, 0, 1, 3, 1, 0, 0, 2, 2, 3, 3, 0, 2, 3, 2, 1, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 3, 3, 3, 1, 3, 0, 3, 1, 1, 2, 2, + 2, 1, 0, 3, 2, 3, 0, 2, 3, 2, 3, 1, 2, 3, 3, 1, 2, 1, 0, 0, + 0, 3, 3, 3, 3, 0, 3, 3, 3, 3, 2, 1, 0, 3, 0, 3, 2, 3, 1, 0, + 0, 1, 3, 1, 0, 2, 2, 3, 1, 0, 2, 1, 1, 3, 1, 1, 3, 1, 2, 1, + 0, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 3, 3, 1, 0, 3, 1, 1, 2, 0, + 0, 0, 2, 3, 3, 2, 2, 3, 0, 2, 3, 1, 3, 3, 0, 2, 1, 2, 2, 2, + 1, 0, 1, 3, 2, 3, 1, 1, 2, 1, 1, 0, 0, 2, 3, 2, 1, 0, 3, 1, + 3, 0, 1, 1, 2, 2, 1, 3, 3, 1, 1, 0, 0, 3, 3, 0, 0, 0, 0, 0, + 3, 1, 3, 0, 0, 0, 3, 3, 2, 1, 3, 0, 1, 3, 1, 1, 1, 0, 1, 0, + 1, 2, 2, 2, 3, 3, 0, 2, 3, 2, 1, 3, 3, 1, 1, 3, 0, 3, 3, 2, + 1, 1, 2, 0, 3, 0, 1, 2, 1, 1, 0, 0, 1, 2, 2, 0, 3, 1, 1, 1, + 3, 3, 3, 1, 0, 3, 3, 2, 2, 2, 1, 2, 0, 1, 1, 3, 0, 3, 1, 0, + 2, 2, 0, 1, 2, 3, 2, 1, 2, 0, 3, 2, 1, 3, 0, 1, 2, 0, 3, 0, + 1, 1, 2, 1 +}; + +static data_t verify_data[ARRAY_SIZE] = +{ + 72, 75, 88, 101, 80, 88, 73, 75, 80, 81, 58, 75, 86, 65, 60, 80, 84, 83, 87, 83, + 108, 93, 85, 76, 72, 98, 79, 86, 80, 96, 91, 85, 72, 64, 70, 83, 68, 92, 51, 54, + 85, 85, 60, 58, 90, 64, 55, 69, 72, 48, 94, 77, 91, 83, 70, 69, 67, 77, 59, 50, + 67, 74, 77, 67, 67, 62, 72, 71, 68, 79, 54, 61, 67, 61, 55, 62, 78, 60, 53, 64, + 67, 69, 99, 68, 88, 60, 66, 63, 70, 62, 65, 50, 53, 66, 70, 72, 75, 78, 85, 95, + 71, 89, 70, 68, 86, 88, 58, 77, 84, 70, 65, 68, 73, 75, 91, 96, 105, 92, 76, 68, + 86, 69, 80, 59, 73, 83, 88, 75, 64, 63, 71, 99, 77, 77, 69, 55, 80, 73, 54, 73, + 87, 78, 60, 69, 65, 78, 86, 89, 95, 92, 63, 69, 89, 61, 80, 65, 70, 77, 89, 77, + 79, 79, 73, 92, 64, 81, 60, 78, 81, 80, 61, 63, 89, 65, 56, 83, 77, 65, 102, 70, + 98, 86, 96, 68, 72, 89, 73, 73, 70, 89, 84, 76, 48, 61, 63, 70, 70, 79, 50, 53, + 64, 63, 43, 51, 59, 62, 43, 63, 55, 77, 79, 74, 75, 74, 64, 44, 65, 69, 72, 66, + 54, 71, 74, 72, 69, 76, 68, 89, 94, 75, 65, 53, 85, 79, 65, 74, 82, 73, 58, 70, + 84, 77, 99, 72, 92, 84, 78, 62, 59, 83, 71, 74, 63, 85, 80, 78, 71, 72, 79, 83, + 73, 82, 60, 85, 76, 82, 60, 70, 82, 68, 54, 85, 84, 70, 86, 74, 100, 88, 98, 68, + 67, 87, 69, 73, 68, 88, 76, 71, 47, 43, 47, 80, 54, 65, 40, 37, 59, 53, 33, 48, + 62, 40, 36, 55, 36, 62, 53, 57, 70, 69, 45, 43, 53, 61, 42, 57, 56, 63, 51, 47, + 59, 75, 64, 89, 83, 75, 59, 75, 91, 92, 58, 64, 83, 74, 58, 60, 76, 66, 97, 69, + 90, 95, 92, 64, 78, 75, 77, 73, 65, 78, 82, 75, 47, 54, 59, 71, 59, 56, 53, 42, + 60, 55, 40, 51, 60, 46, 36, 59, 46, 57, 67, 43, 51, 53, 53, 38, 54, 56, 55, 48, + 41, 46, 63, 63, 80, 77, 89, 102, 89, 98, 74, 86, 98, 93, 63, 76, 98, 77, 48, 101, + 86, 88, 100, 82, 102, 90, 95, 75, 86, 103, 83, 98, 80, 104, 98, 86, 71, 74, 80, 90, + 86, 87, 73, 70, 81, 83, 55, 66, 90, 66, 58, 84, 77, 84, 93, 72, 99, 75, 85, 65, + 70, 89, 71, 82, 64, 79, 82, 80, 67, 73, 86, 101, 78, 97, 66, 64, 84, 80, 55, 64, + 79, 73, 51, 79, 89, 68, 94, 77, 109, 102, 82, 61, 66, 93, 88, 70, 82, 82, 85, 69, + 69, 72, 66, 97, 85, 90, 70, 59, 76, 89, 53, 56, 90, 79, 71, 64, 70, 67, 100, 92, + 106, 89, 83, 78, 73, 80, 70, 72, 65, 70, 92, 88, 57, 76, 55, 85, 66, 80, 61, 63, + 63, 78, 54, 58, 71, 73, 54, 63, 63, 62, 89, 76, 86, 81, 83, 54, 70, 81, 78, 64, + 56, 72, 74, 81, 75, 63, 68, 89, 65, 77, 58, 68, 75, 83, 52, 62, 82, 63, 55, 75, + 51, 70, 95, 66, 83, 77, 86, 61, 64, 77, 48, 70, 66, 82, 72, 75, 79, 71, 72, 89, + 78, 78, 66, 59, 91, 80, 55, 64, 79, 68, 54, 71, 67, 75, 87, 84, 100, 101, 76, 58, + 74, 82, 61, 74, 75, 97, 85, 79, 61, 55, 69, 68, 72, 65, 52, 64, 80, 73, 48, 54, + 71, 66, 42, 61, 66, 63, 92, 64, 85, 77, 73, 54, 74, 73, 76, 66, 62, 79, 85, 70, + 71, 84, 87, 81, 88, 86, 77, 77, 93, 88, 78, 71, 101, 89, 58, 84, 95, 81, 89, 97, + 104, 79, 83, 76, 90, 81, 91, 74, 70, 76, 91, 80, 51, 48, 56, 69, 47, 63, 54, 42, + 63, 63, 42, 52, 66, 56, 39, 59, 61, 52, 59, 63, 62, 68, 57, 35, 67, 58, 56, 52, + 61, 63, 60, 47, 85, 75, 89, 106, 88, 95, 74, 82, 107, 107, 64, 78, 98, 90, 62, 91, + 79, 87, 111, 84, 104, 106, 96, 68, 94, 99, 81, 89, 79, 105, 95, 86, 65, 63, 77, 89, + 66, 88, 56, 73, 82, 92, 41, 62, 85, 66, 50, 81, 57, 71, 77, 78, 86, 89, 77, 53, + 67, 78, 61, 63, 72, 82, 69, 66, 59, 46, 55, 70, 56, 64, 45, 50, 65, 64, 42, 56, + 78, 49, 51, 52, 38, 56, 72, 55, 73, 72, 61, 50, 63, 60, 47, 57, 55, 73, 53, 68, + 85, 88, 91, 96, 82, 89, 73, 76, 87, 86, 67, 69, 96, 84, 57, 89, 87, 89, 99, 88, + 104, 90, 85, 75, 88, 92, 85, 75, 74, 87, 103, 94, 55, 48, 56, 65, 72, 50, 45, 51, + 63, 62, 47, 57, 79, 53, 36, 63, 54, 68, 71, 59, 63, 61, 63, 41, 50, 73, 57, 59, + 56, 76, 73, 65, 61, 64, 61, 79, 53, 73, 57, 44, 61, 59, 59, 56, 81, 59, 49, 62, + 65, 55, 69, 72, 79, 70, 58, 57, 68, 61, 62, 50, 57, 60, 66, 66, 63, 77, 81, 89, + 85, 81, 76, 73, 78, 95, 59, 70, 81, 77, 46, 79, 78, 79, 83, 81, 84, 82, 85, 48, + 74, 85, 85, 74, 74, 80, 80, 74, 60, 76, 80, 97, 88, 93, 66, 66, 73, 84, 56, 70, + 90, 63, 58, 78, 73, 93, 90, 78, 94, 88, 82, 67, 85, 70, 81, 86, 74, 82, 88, 82, + 68, 73, 75, 91, 78, 97, 71, 66, 74, 85, 50, 59, 86, 77, 70, 74, 75, 74, 99, 82, + 99, 91, 86, 65, 80, 77, 72, 69, 60, 78, 90, 87, 79, 69, 74, 98, 70, 86, 81, 67, + 69, 78, 48, 65, 88, 70, 70, 70, 69, 72, 96, 90, 99, 82, 81, 76, 98, 73, 74, 71, + 69, 73, 94, 89 +}; + diff --git a/mt/af_matmul/failedattempt.c b/mt/af_matmul/failedattempt.c new file mode 100644 index 0000000..acd4a12 --- /dev/null +++ b/mt/af_matmul/failedattempt.c @@ -0,0 +1,298 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + size_t i; + size_t i2; + size_t j; + size_t j2; + size_t k; + size_t k2; + size_t max_dim = lda*lda; + size_t block_size = lda/2; + data_t temp_mat[16] = {0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + if (coreid == 0) { + //making a 16x16 block + //First block: Top 16x16 block left of A and top left of B = top left of C + //Second block: top right 16x16 right block of A and top right of B = top right of C + for (j2= 0; j2 < 2; j2++) { + for (i2 = 0; i2 < 2; i2++) { + //for (j2= 0; j2 < 2; j2++) { + //K represents which row of A and C + for (k = 0; k < block_size; k++) { + int rowIndex = k*32; + for (i = i2*block_size; i < i2*block_size+block_size; i++) { + int elementA = A[rowIndex+i]; + int columnIndex = i%32*32; + for (j = 0; j < block_size; j++) { + temp_mat[j] += elementA*B[columnIndex+j+j2*block_size]; + } + } + //Put temp_mat into actual result Matrix + for (k2 = 0; k2 < block_size; k2++) { + C[rowIndex+k2+j2*block_size] += temp_mat[k2]; + temp_mat[k2] = 0; + } + } + } + } + } else { + for (j2= 0; j2 < 2; j2++) { + for (i2 = 0; i2 < 2; i2++) { + //for (j2= 0; j2 < 2; j2++) { + //K represents which row of A and C + for (k = block_size; k < lda; k++) { + int rowIndex = k*32; + for (i = i2*block_size; i < i2*block_size+block_size; i++) { + int elementA = A[rowIndex+i]; + int columnIndex = i%32*32; + for (j = 0; j < block_size; j++) { + temp_mat[j] += elementA*B[columnIndex+j+j2*block_size]; + } + } + //Put temp_mat into actual result Matrix + for (k2 = 0; k2 < block_size; k2++) { + C[rowIndex+k2+j2*block_size] += temp_mat[k2]; + temp_mat[k2] = 0; + } + } + } + } + } + + + //size_t half_lda = lda/2; + // k = which pair of row we're on + + + + + + +/* + for (k = coreid*lda/ncores; k < (lda/ncores + coreid*lda/ncores); k += 2) { + //printf("%d", k); + for (i = 0; i < lda ; i++) { + int elementA = A[32*k+i]; + int elementA2 = A[i + 32*(k+1)]; + int column = i%32*32; + for (j = 0; j < lda; j++) { + C[32*k + j] += elementA*B[column+j]; + C[32*(k+1) + j] += elementA2*B[column+j]; + } + } + + } +*/ + +/* + data_t element=A[i]; + data_t element2 = A[i+1]; + data_t element3 = A[i+2]; + data_t element4 = A[i+3]; + data_t element5 = A[i+4]; + data_t element6 = A[i+5]; + data_t element7 = A[i+6]; + data_t element8 = A[i+7]; + int row= (int)(i/32)*32; + int row2 = (i+1)/32*32; + int row3 = (i+2)/32*32; + int row4 = (i+3)/32*32; + int row5 = (i+4)/32*32; + int row6 = (i+5)/32*32; + int row7 = (i+6)/32*32; + int row8 = (i+7)/32*32; + int column = i%32*32; + int column2 = (i+1)%32*32; + int column3 = (i+2)%32*32; + int column4 = (i+3)%32*32; + int column5 = (i+4)%32*32; + int column6 = (i+5)%32*32; + int column7 = (i+6)%32*32; + + */ + + //int column8 = (i+7)%32*32; + + /* + for (j=0; j < lda; j++) { + sum = B[ + C[row+j]+=element*B[column+j]; + C[row2+j]+=element2*B[column2+j]; + C[row3+j]+=element3*B[column3+j]; + C[row4+j]+=element4*B[column4+j]; + C[row5+j]+=element5*B[column5+j]; + C[row6+j]+=element6*B[column6+j]; + C[row7+j]+=element7*B[column7+j]; + C[row8+j]+=element8*B[column8+j]; + C[row+j]+=element*B[column+j]+element2*B[column2+j]+element3*B[column3+j]+element4*B[column4+j]+element5*B[column5+j]+element6*B[column6+j]+element7*B[column7+j]+element8*B[column8+j]; + } + } + */ + + + + + + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + + // Execute the provided, naive matmul + barrier(); + stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + + // clear results from the first trial + size_t i; + if (coreid == 0) + for (i=0; i < ARRAY_SIZE; i++) + results_data[i] = 0; + barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} diff --git a/mt/af_matmul/failedattempt2.c b/mt/af_matmul/failedattempt2.c new file mode 100644 index 0000000..0493998 --- /dev/null +++ b/mt/af_matmul/failedattempt2.c @@ -0,0 +1,229 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + size_t i; + size_t i2; + size_t j; + size_t j2; + size_t k; + size_t k2; + size_t max_dim = lda*lda; + size_t block_size = lda/2; + int result = 0; + data_t temp_mat1[32] = {0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + if (coreid == 0) { + for (k = 0; k < lda/2; k++) { + int columnIndex = 32*k; + + //temp_mat1 will store the kth column of B + for (i = 0; i < lda; i++) { + temp_mat1[i] = B[32*i + k]; + } + + for (j =0; j < lda; j++) { + int rowIndex = 32*j; + //iterate through each element of A in row J and accumulate result + for (i2 = 0; i2 <lda; i2 += 4) { + int elementA = A[rowIndex+i2]; + int elementA2 = A[rowIndex+i2+1]; + int elementA3 = A[rowIndex+i2+2]; + int elementA4 = A[rowIndex+i2+3]; + result += elementA*temp_mat1[i2] + elementA2*temp_mat1[i2+1] + elementA3*temp_mat1[i2+2] + elementA4*temp_mat1[i2+3] ; + } + C[k+rowIndex] = result; + result = 0; + } + + } + } else { + for (k = lda/2; k < lda; k++) { + int columnIndex = 32*k; + + //temp_mat1 will store the kth column of B + for (i = 0; i < lda; i++) { + temp_mat1[i] = B[32*i + k]; + } + + for (j =0; j < lda; j++) { + int rowIndex = 32*j; + //iterate through each element of A in row J and accumulate result + for (i2 = 0; i2 <lda; i2 += 4) { + int elementA = A[rowIndex+i2]; + int elementA2 = A[rowIndex+i2+1]; + int elementA3 = A[rowIndex+i2+2]; + int elementA4 = A[rowIndex+i2+3]; + result += elementA*temp_mat1[i2] + elementA2*temp_mat1[i2+1] + elementA3*temp_mat1[i2+2] + elementA4*temp_mat1[i2+3] ; + } + C[k+rowIndex] = result; + result = 0; + } + + } + + } + + + + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + + // Execute the provided, naive matmul + barrier(); + stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + + // clear results from the first trial + size_t i; + if (coreid == 0) + for (i=0; i < ARRAY_SIZE; i++) + results_data[i] = 0; + barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} diff --git a/mt/af_matmul/keeptrying.c b/mt/af_matmul/keeptrying.c new file mode 100644 index 0000000..ebfce6c --- /dev/null +++ b/mt/af_matmul/keeptrying.c @@ -0,0 +1,251 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + size_t i, j, k, l; + int row, row2, row3, row4, column, column2; + data_t element, element2, element3, element4, element5, element6, element7, element8; + data_t temp_mat[32]={0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + data_t temp_mat2[32]={0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + data_t temp_mat3[32]={0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + data_t temp_mat4[32]={0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + //for (i=coreid*max_dim/ncores; i<(max_dim/ncores+coreid*max_dim/ncores); i+=8){ + for (l=coreid*32/ncores; l<32*(1+coreid)/ncores; l+=4){ + row=l*lda; + row2=(l+1)*lda; + row3=(l+2)*lda; + row4=(l+3)*lda; + for (i=0; i<lda; i+=2){ + element = A[row+i]; + element2 = A[row+i+1]; + + element3 = A[row2+i]; + element4 = A[row2+i+1]; + + element5 = A[row3+i]; + element6 = A[row3+i+1]; + + element7 = A[row4+i]; + element8 = A[row4+i+1]; + + column=i*lda; + column2=(i+1)*lda; + + for (j=0; j<lda; j+=2){ + temp_mat[j]+=element*B[column+j]+element2*B[column2+j]; + temp_mat2[j]+=element3*B[column+j]+element4*B[column2+j]; + temp_mat3[j]+=element5*B[column+j]+element6*B[column2+j]; + temp_mat4[j]+=element7*B[column+j]+element8*B[column2+j]; + + temp_mat[j+1]+=element*B[column+j+1]+element2*B[column2+j+1]; + temp_mat2[j+1]+=element3*B[column+j+1]+element4*B[column2+j+1]; + temp_mat3[j+1]+=element5*B[column+j+1]+element6*B[column2+j+1]; + temp_mat4[j+1]+=element7*B[column+j+1]+element8*B[column2+j+1]; + + + + } + + } + + for(k=0; k<32; k+= 4){ + C[row+k]=temp_mat[k]; + temp_mat[k]=0; + C[row2+k]=temp_mat2[k]; + temp_mat2[k]=0; + C[row3+k]=temp_mat3[k]; + temp_mat3[k]=0; + C[row4+k]=temp_mat4[k]; + temp_mat4[k]=0; + + C[row+k+1]=temp_mat[k+1]; + temp_mat[k+1]=0; + C[row2+k+1]=temp_mat2[k+1]; + temp_mat2[k+1]=0; + C[row3+k+1]=temp_mat3[k+1]; + temp_mat3[k+1]=0; + C[row4+k+1]=temp_mat4[k+1]; + temp_mat4[k+1]=0; + + C[row+k+2]=temp_mat[k+2]; + temp_mat[k+2]=0; + C[row2+k+2]=temp_mat2[k+2]; + temp_mat2[k+2]=0; + C[row3+k+2]=temp_mat3[k+2]; + temp_mat3[k+2]=0; + C[row4+k+2]=temp_mat4[k+2]; + temp_mat4[k+2]=0; + + C[row+k+3]=temp_mat[k+3]; + temp_mat[k+3]=0; + C[row2+k+3]=temp_mat2[k+3]; + temp_mat2[k+3]=0; + C[row3+k+3]=temp_mat3[k+3]; + temp_mat3[k+3]=0; + C[row4+k+3]=temp_mat4[k+3]; + temp_mat4[k+3]=0; + + + + } + } + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + +} +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + + // Execute the provided, naive matmul + barrier(); + stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + + // clear results from the first trial + size_t i; + if (coreid == 0) + for (i=0; i < ARRAY_SIZE; i++) + results_data[i] = 0; + barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} diff --git a/mt/af_matmul/keeptrying2.c b/mt/af_matmul/keeptrying2.c new file mode 100644 index 0000000..ad2ff41 --- /dev/null +++ b/mt/af_matmul/keeptrying2.c @@ -0,0 +1,254 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + size_t i, j, k, l; + int row,row2, column, column2, column3, column4, column5, column6, column7, column8; + data_t element, element2, element3, element4, element5, element6, element7, element8; + data_t temp_mat[32]={0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + data_t temp_mat2[32]={0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + //for (i=coreid*max_dim/ncores; i<(max_dim/ncores+coreid*max_dim/ncores); i+=8){ + for (l=coreid*32/ncores; l<32*(1+coreid)/ncores; l+=2){ + row=l*lda; + row2=(l+1)*lda; + if (coreid == 0) { + for (i=0; i<lda; i+=4){ + element = A[row+i]; + element2 = A[row+i+1]; + element3 = A[row+i+2]; + element4 = A[row+i+3]; + + element5 = A[row2+i]; + element6 = A[row2+i+1]; + element7 = A[row2+i+2]; + element8 = A[row2+i+3]; + + column=i*lda; + column2=(i+1)*lda; + column3=(i+2)*lda; + column4=(i+3)*lda; + + for (j=0; j<lda; j+=4){ + temp_mat[j]+=element*B[column+j]+element2*B[column2+j]+element3*B[column3+j]+element4*B[column4+j]; + temp_mat[j+1]+=element*B[column+j+1]+element2*B[column2+j+1]+element3*B[column3+j+1]+element4*B[column4+j+1]; + temp_mat[j+2]+=element*B[column+j+2]+element2*B[column2+j+2]+element3*B[column3+j+2]+element4*B[column4+j+2]; + temp_mat[j+3]+=element*B[column+j+3]+element2*B[column2+j+3]+element3*B[column3+j+3]+element4*B[column4+j+3]; + + temp_mat2[j]+=element5*B[column+j]+element6*B[column2+j]+element7*B[column3+j]+element8*B[column4+j]; + temp_mat2[j+1]+=element5*B[column+j+1]+element6*B[column2+j+1]+element7*B[column3+j+1]+element8*B[column4+j+1]; + temp_mat2[j+2]+=element5*B[column+j+2]+element6*B[column2+j+2]+element7*B[column3+j+2]+element8*B[column4+j+2]; + temp_mat2[j+3]+=element5*B[column+j+3]+element6*B[column2+j+3]+element7*B[column3+j+3]+element8*B[column4+j+3]; + } + + } + + for(k=0; k<32; k++){ + C[row+k]=temp_mat[k]; + temp_mat[k]=0; + C[row2+k]=temp_mat2[k]; + temp_mat2[k]=0; + + + } + } else { + + for (i=0; i<lda; i += 4){ + element = A[row-i+lda-1]; + element2 = A[row-i-1+lda-1]; + element3 = A[row-i-2+lda-1]; + element4 = A[row-i-3+lda-1]; + + element5 = A[row2-i+lda-1]; + element6 = A[row2-i-1+lda-1]; + element7 = A[row2-i-2+lda-1]; + element8 = A[row2-i-3+lda-1]; + + column=(-i+lda-1)*lda; + column2=(-i-1+lda-1)*lda; + column3=(-i-2+lda-1)*lda; + column4=(-i-3+lda-1)*lda; + + for (j=0; j<lda; j+=4){ + temp_mat[j]+=element*B[column+j]+element2*B[column2+j]+element3*B[column3+j]+element4*B[column4+j]; + temp_mat[j+1]+=element*B[column+j+1]+element2*B[column2+j+1]+element3*B[column3+j+1]+element4*B[column4+j+1]; + temp_mat[j+2]+=element*B[column+j+2]+element2*B[column2+j+2]+element3*B[column3+j+2]+element4*B[column4+j+2]; + temp_mat[j+3]+=element*B[column+j+3]+element2*B[column2+j+3]+element3*B[column3+j+3]+element4*B[column4+j+3]; + + temp_mat2[j]+=element5*B[column+j]+element6*B[column2+j]+element7*B[column3+j]+element8*B[column4+j]; + temp_mat2[j+1]+=element5*B[column+j+1]+element6*B[column2+j+1]+element7*B[column3+j+1]+element8*B[column4+j+1]; + temp_mat2[j+2]+=element5*B[column+j+2]+element6*B[column2+j+2]+element7*B[column3+j+2]+element8*B[column4+j+2]; + temp_mat2[j+3]+=element5*B[column+j+3]+element6*B[column2+j+3]+element7*B[column3+j+3]+element8*B[column4+j+3]; + } + + } + + for(k=0; k<32; k++){ + C[row+k]=temp_mat[k]; + temp_mat[k]=0; + C[row2+k]=temp_mat2[k]; + temp_mat2[k]=0; + + + } + } + } + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + +} +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + /* + // Execute the provided, naive matmul + barrier(); + stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + + // clear results from the first trial + size_t i; + if (coreid == 0) + for (i=0; i < ARRAY_SIZE; i++) + results_data[i] = 0; + barrier(); + + */ + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} diff --git a/mt/af_matmul/keeptrying2.c~ b/mt/af_matmul/keeptrying2.c~ new file mode 100644 index 0000000..08a5850 --- /dev/null +++ b/mt/af_matmul/keeptrying2.c~ @@ -0,0 +1,212 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + size_t i, j, k, l; + int row,row2, column, column2, column3, column4, column5, column6, column7, column8; + data_t element, element2, element3, element4, element5, element6, element7, element8; + data_t temp_mat[32]={0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + data_t temp_mat2[32]={0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + //for (i=coreid*max_dim/ncores; i<(max_dim/ncores+coreid*max_dim/ncores); i+=8){ + for (l=coreid*32/ncores; l<32*(1+coreid)/ncores; l+=2){ + row=l*lda; + row2=(l+1)*lda; + for (i=0; i<lda; i+=4){ + element = A[row+i]; + element2 = A[row+i+1]; + element3 = A[row+i+2]; + element4 = A[row+i+3]; + + element5 = A[row2+i]; + element6 = A[row2+i+1]; + element7 = A[row2+i+2]; + element8 = A[row2+i+3]; + + column=i*lda; + column2=(i+1)*lda; + column3=(i+2)*lda; + column4=(i+3)*lda; + + for (j=0; j<lda; j+=4){ + temp_mat[j]+=element*B[column+j]+element2*B[column2+j]+element3*B[column3+j]+element4*B[column4+j]; + temp_mat[j+1]+=element*B[column+j+1]+element2*B[column2+j+1]+element3*B[column3+j+1]+element4*B[column4+j+1]; + temp_mat[j+2]+=element*B[column+j+2]+element2*B[column2+j+2]+element3*B[column3+j+2]+element4*B[column4+j+2]; + temp_mat[j+3]+=element*B[column+j+3]+element2*B[column2+j+3]+element3*B[column3+j+3]+element4*B[column4+j+3]; + + temp_mat2[j]+=element5*B[column+j]+element6*B[column2+j]+element7*B[column3+j]+element8*B[column4+j]; + temp_mat2[j+1]+=element5*B[column+j+1]+element6*B[column2+j+1]+element7*B[column3+j+1]+element8*B[column4+j+1]; + temp_mat2[j+2]+=element5*B[column+j+2]+element6*B[column2+j+2]+element7*B[column3+j+2]+element8*B[column4+j+2]; + temp_mat2[j+3]+=element5*B[column+j+3]+element6*B[column2+j+3]+element7*B[column3+j+3]+element8*B[column4+j+3]; + } + + } + + for(k=0; k<32; k++){ + C[row+k]=temp_mat[k]; + temp_mat[k]=0; + C[row2+k]=temp_mat2[k]; + temp_mat2[k]=0; + + + } + } + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + +} +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + + // Execute the provided, naive matmul + barrier(); + stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + + // clear results from the first trial + size_t i; + if (coreid == 0) + for (i=0; i < ARRAY_SIZE; i++) + results_data[i] = 0; + barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} diff --git a/mt/af_matmul/keeptrying3.c b/mt/af_matmul/keeptrying3.c new file mode 100644 index 0000000..9c28faa --- /dev/null +++ b/mt/af_matmul/keeptrying3.c @@ -0,0 +1,253 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +data_t mult(data_t x, data_t y) +{ data_t result = 0; + size_t i; + for (i=0; i < x; i++) { + result += y; + } + return result; +} +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + size_t i, j, k, l; + int row,row2, row3, row4, column, column2, column3, column4, column5, column6, column7, column8; + data_t element, element2, element3, element4, element5, element6, element7, element8; + data_t element9, element10, element11, element12, element13, element14, element15, element16; + data_t elementB1,elementB2,elementB3,elementB4; + data_t temp_mat[128]={0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + //data_t temp_mat2[32]={0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + //for (i=coreid*max_dim/ncores; i<(max_dim/ncores+coreid*max_dim/ncores); i+=8){ + for (l=coreid*32/ncores; l<32*(1+coreid)/ncores; l+=4){ + row=l*lda; + row2=(l+1)*lda; + row3=(l+2)*lda; + row4=(l+3)*lda; + for (i=0; i<lda; i+=4){ + element = A[row+i]; + element2 = A[row+i+1]; + element3 = A[row+i+2]; + element4 = A[row+i+3]; + + element5 = A[row2+i]; + element6 = A[row2+i+1]; + element7 = A[row2+i+2]; + element8 = A[row2+i+3]; + + element9 = A[row3+i]; + element10 = A[row3+i+1]; + element11 = A[row3+i+2]; + element12 = A[row3+i+3]; + + element13 = A[row4+i]; + element14 = A[row4+i+1]; + element15 = A[row4+i+2]; + element16 = A[row4+i+3]; + + column=i*lda; + column2=(i+1)*lda; + column3=(i+2)*lda; + column4=(i+3)*lda; + + + for (j=0; j<lda; j+=4){ + + temp_mat[j]+=element*B[column+j]+element2*B[column2+j]+element3*B[column3+j]+element4*B[column4+j]; + temp_mat[j+1]+=element*B[column+j+1]+element2*B[column2+j+1]+element3*B[column3+j+1]+element4*B[column4+j+1]; + temp_mat[j+2]+=element*B[column+j+2]+element2*B[column2+j+2]+element3*B[column3+j+2]+element4*B[column4+j+2]; + temp_mat[j+3]+=element*B[column+j+3]+element2*B[column2+j+3]+element3*B[column3+j+3]+element4*B[column4+j+3]; + + temp_mat[j+lda]+=element5*B[column+j]+element6*B[column2+j]+element7*B[column3+j]+element8*B[column4+j]; + temp_mat[j+1+lda]+=element5*B[column+j+1]+element6*B[column2+j+1]+element7*B[column3+j+1]+element8*B[column4+j+1]; + temp_mat[j+2+lda]+=element5*B[column+j+2]+element6*B[column2+j+2]+element7*B[column3+j+2]+element8*B[column4+j+2]; + temp_mat[j+3+lda]+=element5*B[column+j+3]+element6*B[column2+j+3]+element7*B[column3+j+3]+element8*B[column4+j+3]; + + temp_mat[j+2*lda]+=element9*B[column+j]+element10*B[column2+j]+element11*B[column3+j]+element12*B[column4+j]; + temp_mat[j+1+2*lda]+=element9*B[column+j+1]+element10*B[column2+j+1]+element11*B[column3+j+1]+element12*B[column4+j+1]; + temp_mat[j+2+2*lda]+=element9*B[column+j+2]+element10*B[column2+j+2]+element11*B[column3+j+2]+element12*B[column4+j+2]; + temp_mat[j+3+2*lda]+=element9*B[column+j+3]+element10*B[column2+j+3]+element11*B[column3+j+3]+element12*B[column4+j+3]; + + temp_mat[j+3*lda]+=element13*B[column+j]+element14*B[column2+j]+element15*B[column3+j]+element16*B[column4+j]; + temp_mat[j+1+3*lda]+=element13*B[column+j+1]+element14*B[column2+j+1]+element15*B[column3+j+1]+element16*B[column4+j+1]; + temp_mat[j+2+3*lda]+=element13*B[column+j+2]+element14*B[column2+j+2]+element15*B[column3+j+2]+element16*B[column4+j+2]; + temp_mat[j+3+3*lda]+=element13*B[column+j+3]+element14*B[column2+j+3]+element15*B[column3+j+3]+element16*B[column4+j+3]; + + + } + + } + + for(k=0; k<32; k++){ + C[row+k]=temp_mat[k]; + temp_mat[k]=0; + C[row2+k]=temp_mat[k+lda]; + temp_mat[k+lda]=0; + C[row3+k]=temp_mat[k+2*lda]; + temp_mat[k+2*lda]=0; + C[row4+k]=temp_mat[k+3*lda]; + temp_mat[k+3*lda]=0; + + + } + + + } + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + +} +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + + // Execute the provided, naive matmul + barrier(); + stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + + // clear results from the first trial + size_t i; + if (coreid == 0) + for (i=0; i < ARRAY_SIZE; i++) + results_data[i] = 0; + barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} diff --git a/mt/af_matmul/matmul.c~ b/mt/af_matmul/matmul.c~ new file mode 100644 index 0000000..654ba06 --- /dev/null +++ b/mt/af_matmul/matmul.c~ @@ -0,0 +1,237 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +data_t mult(data_t x, data_t y) +{ data_t result = 0; + size_t i; + for (i=0; i < x; i++) { + result += y; + } + return result; +} +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + + void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + size_t i, j, k, l; + int row,row2, column, column2, column3, column4, column5, column6, column7, column8; + data_t element, element2, element3, element4, element5, element6, element7, element8; + data_t B1, B2, B3, B4; + data_t temp_mat[32]={0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + data_t temp_mat2[32]={0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + int local_lda = lda; + //for (i=coreid*max_dim/ncores; i<(max_dim/ncores+coreid*max_dim/ncores); i+=8){ + for (l=coreid*local_lda/ncores; l<local_lda*(1+coreid)/ncores; l+=2){ + row=l*32; + row2=(l+1)*32; + //element = A[row]; + //element5 = A[row2]; + for (i=0; i<local_lda; i+=4){ + element = A[row+i]; + element2 = A[row+i+1]; + element3 = A[row+i+2]; + element4 = A[row+i+3]; + + element5 = A[row2+i]; + element6 = A[row2+i+1]; + element7 = A[row2+i+2]; + element8 = A[row2+i+3]; + + column=i*local_lda; + column2=(i+1)*local_lda; + column3=(i+2)*local_lda; + column4=(i+3)*local_lda; + + B1 = B[column]; + B2 = B[column2]; + B3 = B[column3]; + B4 = B[column4]; + + for (j=0; j<lda; j+=4){ + temp_mat[j]+=element*B1+element2*B2+element3*B3+element4*B4; + temp_mat[j+1]+=element*B[column+j+1]+element2*B[column2+j+1]+element3*B[column3+j+1]+element4*B[column4+j+1]; + temp_mat[j+2]+=element*B[column+j+2]+element2*B[column2+j+2]+element3*B[column3+j+2]+element4*B[column4+j+2]; + temp_mat[j+3]+=element*B[column+j+3]+element2*B[column2+j+3]+element3*B[column3+j+3]+element4*B[column4+j+3]; + + temp_mat2[j]+=element5*B1+element6*B2+element7*B3+element8*B4; + temp_mat2[j+1]+=element5*B[column+j+1]+element6*B[column2+j+1]+element7*B[column3+j+1]+element8*B[column4+j+1]; + temp_mat2[j+2]+=element5*B[column+j+2]+element6*B[column2+j+2]+element7*B[column3+j+2]+element8*B[column4+j+2]; + temp_mat2[j+3]+=element5*B[column+j+3]+element6*B[column2+j+3]+element7*B[column3+j+3]+element8*B[column4+j+3]; + + B1 = B[column+j+4]; + B2 = B[column2+j+4]; + B3 = B[column3+j+4]; + B4 = B[column4+j+4]; + + } + //element = A[row+i+4]; + //element5 = A[row2+i+4]; + } + + for(k=0; k<local_lda; k++){ + C[row+k]=temp_mat[k]; + temp_mat[k]=0; + C[row2+k]=temp_mat2[k]; + temp_mat2[k]=0; + + } + + + } + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + + // Execute the provided, naive matmul + barrier(); + stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + + // clear results from the first trial + size_t i; + if (coreid == 0) + for (i=0; i < ARRAY_SIZE; i++) + results_data[i] = 0; + barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} diff --git a/mt/af_matmul/matmul_gendata.pl b/mt/af_matmul/matmul_gendata.pl new file mode 100755 index 0000000..f21bb46 --- /dev/null +++ b/mt/af_matmul/matmul_gendata.pl @@ -0,0 +1,200 @@ +#!/usr/bin/perl -w +#========================================================================== +# matmul_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the matmul benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: matmul_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[ARRAY_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3d",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + + + +#-------------------------------------------------------------------------- +# Matmul +#-------------------------------------------------------------------------- + +# http://answers.oreilly.com/topic/418-how-to-multiply-matrices-in-perl/ + +sub mmult { + my ($m1,$m2) = @_; + my ($m1rows,$m1cols) = matdim($m1); + my ($m2rows,$m2cols) = matdim($m2); + + my $result = [ ]; + my ($i, $j, $k); + + for $i (range($m1rows)) { + for $j (range($m2cols)) { + for $k (range($m1cols)) { + $result->[$i][$j] += $m1->[$i][$k] * $m2->[$k][$j]; + } + } + } + return $result; +} + +sub range { 0 .. ($_[0] - 1) } + + +sub veclen { + my $ary_ref = $_[0]; + my $type = ref $ary_ref; + if ($type ne "ARRAY") { die "$type is bad array ref for $ary_ref" } + return scalar(@$ary_ref); +} + +sub matdim { + my $matrix = $_[0]; + my $rows = veclen($matrix); + my $cols = veclen($matrix->[0]); + return ($rows, $cols); +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + # create random input arrays + my $mat_values1; + my $mat_values2; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + $mat_values1->[$i][$j] = int(rand(4)); + $mat_values2->[$i][$j] = int(rand(4)); + } + } + + # perform matmul + my $mat_results = mmult( $mat_values1, $mat_values2 ); + + # translate 2d arrays to 1d-somethings (I don't know how to code in perl - Chris) + my @values1; + my @values2; + my @results; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + my $value1 = $mat_values1->[$i][$j]; + my $value2 = $mat_values2->[$i][$j]; + my $result = $mat_results->[$i][$j]; + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @results, $result ); + } + } + + print "\n\#define ARRAY_SIZE ".($opts{"size"}*$opts{"size"})." \n\n"; + print "\n\#define DIM_SIZE ".$opts{"size"}." \n\n"; + + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@results); + +} + +main(); + diff --git a/mt/af_matmul/matmul_mi.c b/mt/af_matmul/matmul_mi.c new file mode 100644 index 0000000..74a43f3 --- /dev/null +++ b/mt/af_matmul/matmul_mi.c @@ -0,0 +1,250 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: Felix Li $ Ronald Lee +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i,j,k,l; + data_t element1, element2, element3, element4, element5, element6, element7, element8; + int row, row2; + int column1, column2, column3, column4, column5, column6, column7, column8; + data_t temp[32]={0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + data_t temp2[32]={0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + if (coreid == 0){ + for (i=0; i<32; i+=2){ + row = i*32; + row2 = (i+1)*32; + for (j=0; j<16; j+=4){ + element1 = A[row+j]; + element2 = A[row+j+1]; + element3 = A[row+j+2]; + element4 = A[row+j+3]; + column1 = j*32; + column2 = (j+1)*32; + column3 = (j+2)*32; + column4 = (j+3)*32; + element5 = A[row2+j]; + element6 = A[row2+j+1]; + element7 = A[row2+j+2]; + element8 = A[row2+j+3]; + + for (k=0; k<32; k+=4){ + temp[k]+=element1*B[column1+k]+element2*B[column2+k]+element3*B[column3+k]+element4*B[column4+k]; + temp[k+1]+=element1*B[column1+k+1]+element2*B[column2+k+1]+element3*B[column3+k+1]+element4*B[column4+k+1]; + temp[k+2]+=element1*B[column1+k+2]+element2*B[column2+k+2]+element3*B[column3+k+2]+element4*B[column4+k+2]; + temp[k+3]+=element1*B[column1+k+3]+element2*B[column2+k+3]+element3*B[column3+k+3]+element4*B[column4+k+3]; + temp2[k]+=element5*B[column1+k]+element6*B[column2+k]+element7*B[column3+k]+element8*B[column4+k]; + temp2[k+1]+=element5*B[column1+k+1]+element6*B[column2+k+1]+element7*B[column3+k+1]+element8*B[column4+k+1]; + temp2[k+2]+=element5*B[column1+k+2]+element6*B[column2+k+2]+element7*B[column3+k+2]+element8*B[column4+k+2]; + temp2[k+3]+=element5*B[column1+k+3]+element6*B[column2+k+3]+element7*B[column3+k+3]+element8*B[column4+k+3]; + } + + + } + for (l=0; l<32; l++){ + C[row+l]+=temp[l]; + C[row2+l]+=temp2[l]; + temp[l]=0; + temp2[l]=0; + } + + } + } + else { + for (i=0; i<32; i+=2){ + row = (31-i)*32; + row2 = (31-i-1)*32; + for (j=16; j<32; j+=4){ + element1 = A[row+j]; + element2 = A[row+j+1]; + element3 = A[row+j+2]; + element4 = A[row+j+3]; + element5 = A[row2+j]; + element6 = A[row2+j+1]; + element7 = A[row2+j+2]; + element8 = A[row2+j+3]; + column1 = j*32; + column2 = (j+1)*32; + column3 = (j+2)*32; + column4 = (j+3)*32; + for (k=0; k<32; k+=4){ + temp[k]+=element1*B[column1+k]+element2*B[column2+k]+element3*B[column3+k]+element4*B[column4+k]; + temp[k+1]+=element1*B[column1+k+1]+element2*B[column2+k+1]+element3*B[column3+k+1]+element4*B[column4+k+1]; + temp[k+2]+=element1*B[column1+k+2]+element2*B[column2+k+2]+element3*B[column3+k+2]+element4*B[column4+k+2]; + temp[k+3]+=element1*B[column1+k+3]+element2*B[column2+k+3]+element3*B[column3+k+3]+element4*B[column4+k+3]; + temp2[k]+=element5*B[column1+k]+element6*B[column2+k]+element7*B[column3+k]+element8*B[column4+k]; + temp2[k+1]+=element5*B[column1+k+1]+element6*B[column2+k+1]+element7*B[column3+k+1]+element8*B[column4+k+1]; + temp2[k+2]+=element5*B[column1+k+2]+element6*B[column2+k+2]+element7*B[column3+k+2]+element8*B[column4+k+2]; + temp2[k+3]+=element5*B[column1+k+3]+element6*B[column2+k+3]+element7*B[column3+k+3]+element8*B[column4+k+3]; + } + + + + } + for (l=0; l<32; l++){ + C[row+l]+=temp[l]; + C[row2+l]+=temp2[l]; + temp[l]=0; + temp2[l]=0; + } + } + } + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + +// // Execute the provided, naive matmul +// barrier(); +// stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); +// +// +// // verify +// verify(ARRAY_SIZE, results_data, verify_data); +// +// // clear results from the first trial +// size_t i; +// if (coreid == 0) +// for (i=0; i < ARRAY_SIZE; i++) +// results_data[i] = 0; +// barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} diff --git a/mt/af_matmul/matmul_mi.c~ b/mt/af_matmul/matmul_mi.c~ new file mode 100644 index 0000000..4ac4de7 --- /dev/null +++ b/mt/af_matmul/matmul_mi.c~ @@ -0,0 +1,248 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: Felix Li $ Ronald Lee +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i,j,k,l; + data_t element1, element2, element3, element4, element5, element6, element7, element8; + int row, row2; + int column1, column2, column3, column4, column5, column6, column7, column8; + data_t temp[32]={0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + data_t temp2[32]={0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + if (coreid == 0){ + for (i=0; i<32; i+=2){ + row = i*32; + row2 = (i+1)*32; + for (j=0; j<16; j+=4){ + element1 = A[row+j]; + element2 = A[row+j+1]; + element3 = A[row+j+2]; + element4 = A[row+j+3]; + column1 = j*32; + column2 = (j+1)*32; + column3 = (j+2)*32; + column4 = (j+3)*32; + element5 = A[row2+j]; + element6 = A[row2+j+1]; + element7 = A[row2+j+2]; + element8 = A[row2+j+3]; + + for (k=0; k<32; k+=4){ + temp[k]+=element1*B[column1+k]+element2*B[column2+k]+element3*B[column3+k]+element4*B[column4+k]; + temp[k+1]+=element1*B[column1+k+1]+element2*B[column2+k+1]+element3*B[column3+k+1]+element4*B[column4+k+1]; + temp[k+2]+=element1*B[column1+k+2]+element2*B[column2+k+2]+element3*B[column3+k+2]+element4*B[column4+k+2]; + temp[k+3]+=element1*B[column1+k+3]+element2*B[column2+k+3]+element3*B[column3+k+3]+element4*B[column4+k+3]; + temp2[k]+=element5*B[column1+k]+element6*B[column2+k]+element7*B[column3+k]+element8*B[column4+k]; + temp2[k+1]+=element5*B[column1+k+1]+element6*B[column2+k+1]+element7*B[column3+k+1]+element8*B[column4+k+1]; + temp2[k+2]+=element5*B[column1+k+2]+element6*B[column2+k+2]+element7*B[column3+k+2]+element8*B[column4+k+2]; + temp2[k+3]+=element5*B[column1+k+3]+element6*B[column2+k+3]+element7*B[column3+k+3]+element8*B[column4+k+3]; + } + if (j==12){ + for (l=0; l<32; l++){ + C[row+l]+=temp[l]; + C[row2+l]+=temp2[l]; + temp[l]=0; + temp2[l]=0; + } + } + } + } + } + else if (coreid==1){ + for (i=0; i<32; i+=2){ + row = (31-i)*32; + row2 = (31-i-1)*32; + for (j=16; j<32; j+=4){ + element1 = A[row+j]; + element2 = A[row+j+1]; + element3 = A[row+j+2]; + element4 = A[row+j+3]; + element5 = A[row2+j]; + element6 = A[row2+j+1]; + element7 = A[row2+j+2]; + element8 = A[row2+j+3]; + column1 = j*32; + column2 = (j+1)*32; + column3 = (j+2)*32; + column4 = (j+3)*32; + for (k=0; k<32; k+=4){ + temp[k]+=element1*B[column1+k]+element2*B[column2+k]+element3*B[column3+k]+element4*B[column4+k]; + temp[k+1]+=element1*B[column1+k+1]+element2*B[column2+k+1]+element3*B[column3+k+1]+element4*B[column4+k+1]; + temp[k+2]+=element1*B[column1+k+2]+element2*B[column2+k+2]+element3*B[column3+k+2]+element4*B[column4+k+2]; + temp[k+3]+=element1*B[column1+k+3]+element2*B[column2+k+3]+element3*B[column3+k+3]+element4*B[column4+k+3]; + temp2[k]+=element5*B[column1+k]+element6*B[column2+k]+element7*B[column3+k]+element8*B[column4+k]; + temp2[k+1]+=element5*B[column1+k+1]+element6*B[column2+k+1]+element7*B[column3+k+1]+element8*B[column4+k+1]; + temp2[k+2]+=element5*B[column1+k+2]+element6*B[column2+k+2]+element7*B[column3+k+2]+element8*B[column4+k+2]; + temp2[k+3]+=element5*B[column1+k+3]+element6*B[column2+k+3]+element7*B[column3+k+3]+element8*B[column4+k+3]; + } + if (j==28){ + for (l=0; l<32; l++){ + C[row+l]+=temp[l]; + C[row2+l]+=temp2[l]; + temp[l]=0; + temp2[l]=0; + } + } + } + } + } + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + + // Execute the provided, naive matmul + barrier(); + stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + + // clear results from the first trial + size_t i; + if (coreid == 0) + for (i=0; i < ARRAY_SIZE; i++) + results_data[i] = 0; + barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} diff --git a/mt/af_vvadd/af_vvadd.c b/mt/af_vvadd/af_vvadd.c new file mode 100755 index 0000000..7f7bc7a --- /dev/null +++ b/mt/af_vvadd/af_vvadd.c @@ -0,0 +1,178 @@ +//************************************************************************** +// Vector-vector add benchmark +//-------------------------------------------------------------------------- +// Author : Andrew Waterman +// TA : Christopher Celio +// Student : +// +// This benchmark adds two vectors and writes the results to a +// third vector. The input data (and reference data) should be +// generated using the vvadd_gendata.pl perl script and dumped +// to a file named dataset.h + +// to print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DATA_SIZE, 10*_c/DATA_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %4ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %4ld, correct[%d]= %4ld\n", + i, (long) test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// vvadd function + +//perform in-place vvadd +void __attribute__((noinline)) vvadd(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + size_t i; + + // interleave accesses + for (i = coreid; i < n; i+=ncores) + { + x[i] = x[i] + y[i]; + } +} + +void __attribute__((noinline)) vvadd_opt(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + + size_t i; + + if (coreid == 0) + { + for (i = 0; i < n/2; i++) { + x[i] = x[i] + y[i]; + } + } else { + for (i = n/2; i < n; i++) { + x[i] = x[i] + y[i]; + } + } + +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[DATA_SIZE]; + + // because we're going to perform an in-place vvadd (and we're going to run + // it a couple of times) let's copy the input data to a temporary results + // array + + size_t i; + if (coreid == 0) + { + for (i = 0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + + + // Execute the provided, terrible vvadd + barrier(); + stats(vvadd(DATA_SIZE, results_data, input2_data); barrier()); + + + // verify + verify(DATA_SIZE, results_data, verify_data); + + // reset results from the first trial + if (coreid == 0) + { + for (i=0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + barrier(); + + + // Execute your faster vvadd + barrier(); + stats(vvadd_opt(DATA_SIZE, results_data, input2_data); barrier()); + +#ifdef DEBUG + printArray("results: ", DATA_SIZE, results_data); + printArray("verify : ", DATA_SIZE, verify_data); +#endif + + // verify + verify(DATA_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/af_vvadd/dataset.h b/mt/af_vvadd/dataset.h new file mode 100755 index 0000000..ce9f936 --- /dev/null +++ b/mt/af_vvadd/dataset.h @@ -0,0 +1,165 @@ + +#define DATA_SIZE 1000 + +static data_t input1_data[DATA_SIZE] = +{ + 0.00, 15.00, 10.00, 3.00, 14.00, 6.00, 2.00, 18.00, 11.00, 15.00, 11.00, 0.00, 17.00, 16.00, 7.00, 13.00, 18.00, 2.00, 2.00, 5.00, + 8.00, 5.00, 12.00, 14.00, 6.00, 12.00, 16.00, 7.00, 9.00, 17.00, 10.00, 10.00, 3.00, 5.00, 14.00, 11.00, 9.00, 12.00, 3.00, 1.00, + 5.00, 4.00, 6.00, 17.00, 17.00, 4.00, 17.00, 15.00, 17.00, 18.00, 3.00, 18.00, 10.00, 6.00, 12.00, 12.00, 3.00, 2.00, 16.00, 1.00, + 5.00, 6.00, 2.00, 17.00, 16.00, 5.00, 10.00, 18.00, 14.00, 4.00, 9.00, 9.00, 7.00, 4.00, 8.00, 13.00, 12.00, 6.00, 4.00, 17.00, + 5.00, 2.00, 11.00, 11.00, 7.00, 6.00, 8.00, 5.00, 6.00, 6.00, 11.00, 1.00, 18.00, 7.00, 6.00, 9.00, 10.00, 17.00, 14.00, 4.00, + 14.00, 11.00, 2.00, 0.00, 2.00, 17.00, 17.00, 15.00, 10.00, 8.00, 12.00, 18.00, 5.00, 0.00, 0.00, 1.00, 1.00, 8.00, 11.00, 11.00, + 7.00, 5.00, 15.00, 18.00, 15.00, 6.00, 8.00, 9.00, 18.00, 6.00, 15.00, 16.00, 10.00, 18.00, 13.00, 6.00, 10.00, 16.00, 0.00, 10.00, + 12.00, 8.00, 8.00, 3.00, 0.00, 1.00, 4.00, 0.00, 8.00, 15.00, 16.00, 9.00, 7.00, 7.00, 10.00, 9.00, 16.00, 12.00, 5.00, 5.00, + 9.00, 5.00, 17.00, 4.00, 13.00, 13.00, 4.00, 14.00, 10.00, 5.00, 10.00, 10.00, 6.00, 18.00, 5.00, 15.00, 5.00, 15.00, 13.00, 18.00, + 6.00, 13.00, 5.00, 18.00, 12.00, 14.00, 1.00, 7.00, 2.00, 1.00, 7.00, 12.00, 15.00, 15.00, 6.00, 2.00, 1.00, 2.00, 18.00, 6.00, + 10.00, 14.00, 9.00, 15.00, 11.00, 0.00, 3.00, 1.00, 2.00, 2.00, 14.00, 7.00, 18.00, 0.00, 2.00, 2.00, 16.00, 8.00, 4.00, 5.00, + 7.00, 11.00, 7.00, 10.00, 14.00, 10.00, 3.00, 0.00, 13.00, 9.00, 14.00, 0.00, 14.00, 1.00, 3.00, 16.00, 2.00, 14.00, 6.00, 17.00, + 17.00, 6.00, 9.00, 8.00, 9.00, 12.00, 5.00, 14.00, 2.00, 16.00, 17.00, 5.00, 4.00, 0.00, 14.00, 10.00, 6.00, 15.00, 15.00, 14.00, + 5.00, 1.00, 8.00, 8.00, 13.00, 8.00, 0.00, 4.00, 7.00, 9.00, 13.00, 16.00, 9.00, 14.00, 9.00, 13.00, 0.00, 7.00, 16.00, 17.00, + 18.00, 10.00, 13.00, 8.00, 4.00, 9.00, 13.00, 0.00, 6.00, 4.00, 6.00, 4.00, 10.00, 14.00, 14.00, 9.00, 15.00, 15.00, 3.00, 3.00, + 12.00, 0.00, 3.00, 2.00, 16.00, 1.00, 7.00, 2.00, 16.00, 2.00, 2.00, 0.00, 14.00, 3.00, 3.00, 10.00, 4.00, 10.00, 3.00, 4.00, + 13.00, 14.00, 13.00, 0.00, 1.00, 15.00, 16.00, 9.00, 7.00, 9.00, 0.00, 11.00, 1.00, 1.00, 15.00, 17.00, 12.00, 16.00, 15.00, 4.00, + 8.00, 2.00, 10.00, 10.00, 0.00, 18.00, 17.00, 7.00, 7.00, 2.00, 10.00, 17.00, 9.00, 7.00, 5.00, 3.00, 8.00, 11.00, 6.00, 9.00, + 13.00, 0.00, 3.00, 5.00, 2.00, 5.00, 7.00, 4.00, 9.00, 2.00, 13.00, 17.00, 14.00, 12.00, 1.00, 3.00, 7.00, 17.00, 0.00, 14.00, + 16.00, 2.00, 2.00, 1.00, 2.00, 15.00, 16.00, 8.00, 2.00, 4.00, 15.00, 15.00, 10.00, 6.00, 11.00, 9.00, 15.00, 17.00, 3.00, 8.00, + 15.00, 3.00, 10.00, 15.00, 8.00, 14.00, 16.00, 15.00, 15.00, 14.00, 1.00, 7.00, 4.00, 18.00, 2.00, 13.00, 11.00, 15.00, 7.00, 10.00, + 13.00, 10.00, 7.00, 14.00, 18.00, 4.00, 18.00, 4.00, 3.00, 9.00, 1.00, 13.00, 15.00, 2.00, 5.00, 15.00, 12.00, 10.00, 2.00, 0.00, + 10.00, 15.00, 0.00, 11.00, 14.00, 11.00, 14.00, 9.00, 1.00, 18.00, 14.00, 18.00, 15.00, 5.00, 1.00, 15.00, 18.00, 14.00, 3.00, 15.00, + 11.00, 2.00, 15.00, 0.00, 13.00, 1.00, 4.00, 14.00, 14.00, 5.00, 2.00, 13.00, 17.00, 8.00, 7.00, 6.00, 5.00, 10.00, 14.00, 14.00, + 17.00, 0.00, 0.00, 17.00, 18.00, 15.00, 10.00, 16.00, 18.00, 5.00, 9.00, 10.00, 18.00, 7.00, 11.00, 5.00, 4.00, 16.00, 2.00, 8.00, + 13.00, 1.00, 12.00, 3.00, 4.00, 6.00, 15.00, 12.00, 0.00, 6.00, 18.00, 12.00, 14.00, 18.00, 3.00, 2.00, 3.00, 5.00, 3.00, 14.00, + 18.00, 12.00, 10.00, 11.00, 8.00, 4.00, 10.00, 10.00, 9.00, 18.00, 14.00, 3.00, 7.00, 17.00, 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30.00, 12.00, 21.00, 21.00, 27.00, 14.00, + 21.00, 31.00, 3.00, 21.00, 14.00, 20.00, 30.00, 20.00, 21.00, 32.00, 27.00, 24.00, 16.00, 31.00, 5.00, 20.00, 14.00, 17.00, 15.00, 16.00, + 19.00, 13.00, 4.00, 21.00, 20.00, 29.00, 10.00, 22.00, 19.00, 24.00, 29.00, 14.00, 10.00, 15.00, 18.00, 7.00, 28.00, 17.00, 7.00, 2.00, + 1.00, 19.00, 17.00, 23.00, 31.00, 13.00, 20.00, 36.00, 17.00, 27.00, 28.00, 18.00, 20.00, 29.00, 17.00, 23.00, 24.00, 23.00, 26.00, 17.00, + 9.00, 26.00, 16.00, 18.00, 10.00, 28.00, 32.00, 20.00, 19.00, 14.00, 22.00, 23.00, 13.00, 22.00, 14.00, 7.00, 20.00, 10.00, 25.00, 9.00, + 7.00, 2.00, 31.00, 16.00, 16.00, 22.00, 5.00, 15.00, 26.00, 23.00, 10.00, 18.00, 32.00, 24.00, 15.00, 30.00, 16.00, 13.00, 15.00, 7.00, + 11.00, 6.00, 21.00, 14.00, 25.00, 21.00, 11.00, 16.00, 14.00, 26.00, 25.00, 15.00, 22.00, 24.00, 4.00, 19.00, 14.00, 26.00, 22.00, 17.00, + 13.00, 14.00, 7.00, 32.00, 20.00, 33.00, 13.00, 7.00, 29.00, 8.00, 26.00, 6.00, 9.00, 13.00, 22.00, 23.00, 8.00, 22.00, 22.00, 10.00, + 24.00, 2.00, 17.00, 9.00, 22.00, 30.00, 24.00, 33.00, 25.00, 17.00, 23.00, 9.00, 13.00, 15.00, 23.00, 10.00, 1.00, 22.00, 17.00, 10.00, + 32.00, 24.00, 26.00, 4.00, 15.00, 0.00, 27.00, 23.00, 28.00, 23.00, 30.00, 7.00, 16.00, 33.00, 20.00, 14.00, 23.00, 14.00, 20.00, 14.00, + 7.00, 25.00, 24.00, 12.00, 29.00, 16.00, 17.00, 20.00, 29.00, 16.00, 13.00, 18.00, 26.00, 18.00, 18.00, 17.00, 13.00, 29.00, 14.00, 17.00, + 24.00, 16.00, 21.00, 14.00, 26.00, 9.00, 11.00, 28.00, 25.00, 15.00, 15.00, 12.00, 6.00, 14.00, 27.00, 14.00, 24.00, 18.00, 18.00, 14.00, + 32.00, 21.00, 26.00, 13.00, 6.00, 24.00, 22.00, 27.00, 17.00, 26.00, 19.00, 21.00, 19.00, 9.00, 21.00, 25.00, 17.00, 27.00, 15.00, 18.00 +}; + diff --git a/mt/af_vvadd/vvadd_gendata.pl b/mt/af_vvadd/vvadd_gendata.pl new file mode 100755 index 0000000..a9fceac --- /dev/null +++ b/mt/af_vvadd/vvadd_gendata.pl @@ -0,0 +1,139 @@ +#!/usr/bin/perl -w +#========================================================================== +# vvadd_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the vvadd benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: vvadd_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[DATA_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3.2f",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + my @values1; + my @values2; + my @sum; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + my $value1 = int(rand(19)); + my $value2 = int(rand(19)); + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @sum, $value1 + $value2 ); + } + + + print "\n\#define DATA_SIZE ".$opts{"size"}." \n\n"; + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@sum ); + +} + +main(); + diff --git a/mt/ag_matmul/ag_matmul.c b/mt/ag_matmul/ag_matmul.c new file mode 100755 index 0000000..9782d78 --- /dev/null +++ b/mt/ag_matmul/ag_matmul.c @@ -0,0 +1,230 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ +unsigned long _c = -rdcycle(), _i = -rdinstret(); \ +code; \ +_c += rdcycle(), _i += rdinstret(); \ +if (coreid == 0) \ +printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ +stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ +} while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + for ( i = 0; i < lda; i+=2 ) + { + for (k = 0; k < lda; k+=4) + { + int d0 = B[k*lda + i]; + int c0 = B[k*lda + i + 1]; + int d1 = B[(k+1)*lda + i]; + int c1 = B[(k+1)*lda + i + 1]; + int d2 = B[(k+2)*lda + i]; + int c2 = B[(k+2)*lda + i + 1]; + int d3 = B[(k+3)*lda + i]; + int c3 = B[(k+3)*lda + i + 1]; + + for ( j = coreid*(lda/ncores); j < (coreid+1)*(lda/ncores); j+=4) + { + + int sum = A[j*lda + k] * d0; + sum += A[j*lda + k + 1] * d1; + sum += A[j*lda + k + 2] * d2; + sum += A[j*lda + k + 3] * d3; + C[j*lda +i] += sum; + + sum = A[j*lda + k] * c0; + sum += A[j*lda + k + 1] * c1; + sum += A[j*lda + k + 2] * c2; + sum += A[j*lda + k + 3] * c3; + C[j*lda + i + 1] += sum; + + sum = A[(j+1)*lda + k] * d0; + sum += A[(j+1)*lda + k + 1] * d1; + sum += A[(j+1)*lda + k + 2] * d2; + sum += A[(j+1)*lda + k + 3] * d3; + C[(j+1)*lda +i] += sum; + + sum = A[(j+1)*lda + k] * c0; + sum += A[(j+1)*lda + k + 1] * c1; + sum += A[(j+1)*lda + k + 2] * c2; + sum += A[(j+1)*lda + k + 3] * c3; + C[(j+1)*lda + i + 1] += sum; + + sum = A[(j+2)*lda + k] * d0; + sum += A[(j+2)*lda + k + 1] * d1; + sum += A[(j+2)*lda + k + 2] * d2; + sum += A[(j+2)*lda + k + 3] * d3; + C[(j+2)*lda +i] += sum; + + sum = A[(j+2)*lda + k] * c0; + sum += A[(j+2)*lda + k + 1] * c1; + sum += A[(j+2)*lda + k + 2] * c2; + sum += A[(j+2)*lda + k + 3] * c3; + C[(j+2)*lda + i + 1] += sum; + + sum = A[(j+3)*lda + k] * d0; + sum += A[(j+3)*lda + k + 1] * d1; + sum += A[(j+3)*lda + k + 2] * d2; + sum += A[(j+3)*lda + k + 3] * d3; + C[(j+3)*lda +i] += sum; + + sum = A[(j+3)*lda + k] * c0; + sum += A[(j+3)*lda + k + 1] * c1; + sum += A[(j+3)*lda + k + 2] * c2; + sum += A[(j+3)*lda + k + 3] * c3; + C[(j+3)*lda + i + 1] += sum; + + } + barrier(); + } + } +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + +// // Execute the provided, naive matmul +// barrier(); +// stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); +// +// +// // verify +// verify(ARRAY_SIZE, results_data, verify_data); +// +// // clear results from the first trial +// size_t i; +// if (coreid == 0) +// for (i=0; i < ARRAY_SIZE; i++) +// results_data[i] = 0; +// barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/ag_matmul/dataset.h b/mt/ag_matmul/dataset.h new file mode 100755 index 0000000..dde3ee4 --- /dev/null +++ b/mt/ag_matmul/dataset.h @@ -0,0 +1,174 @@ + +#define ARRAY_SIZE 1024 + + +#define DIM_SIZE 32 + +static data_t input1_data[ARRAY_SIZE] = +{ + 0, 3, 2, 0, 3, 1, 0, 3, 2, 3, 2, 0, 3, 3, 1, 2, 3, 0, 0, 1, + 1, 1, 2, 3, 1, 2, 3, 1, 1, 3, 2, 2, 0, 1, 3, 2, 2, 2, 0, 0, + 1, 0, 1, 3, 3, 0, 3, 3, 3, 3, 0, 3, 2, 1, 2, 2, 0, 0, 3, 0, + 1, 1, 0, 3, 3, 1, 2, 3, 3, 0, 1, 2, 1, 0, 1, 2, 2, 1, 0, 3, + 1, 0, 2, 2, 1, 1, 1, 1, 1, 1, 2, 0, 3, 1, 1, 2, 2, 3, 3, 1, + 3, 2, 0, 0, 0, 3, 3, 3, 2, 1, 2, 3, 1, 0, 0, 0, 0, 1, 2, 2, + 1, 1, 3, 3, 3, 1, 1, 2, 3, 1, 3, 3, 2, 3, 2, 1, 2, 3, 0, 2, + 2, 1, 1, 0, 0, 0, 0, 0, 1, 3, 3, 1, 1, 1, 2, 2, 3, 2, 1, 1, + 1, 1, 3, 0, 2, 2, 1, 3, 2, 1, 2, 2, 1, 3, 1, 3, 1, 3, 2, 3, + 1, 2, 1, 3, 2, 2, 0, 1, 0, 0, 1, 2, 3, 3, 1, 0, 0, 0, 3, 1, + 2, 3, 2, 3, 2, 0, 0, 0, 0, 0, 3, 1, 3, 0, 0, 0, 3, 1, 1, 1, + 1, 2, 1, 2, 3, 2, 0, 0, 2, 2, 3, 0, 3, 0, 0, 3, 0, 3, 1, 3, + 3, 1, 1, 1, 2, 2, 1, 3, 0, 3, 3, 1, 0, 0, 3, 2, 1, 3, 3, 3, + 1, 0, 1, 1, 2, 1, 0, 1, 1, 2, 2, 3, 1, 2, 2, 2, 0, 1, 3, 3, + 3, 2, 2, 1, 0, 1, 2, 0, 1, 1, 1, 1, 2, 3, 2, 2, 3, 3, 0, 0, + 2, 0, 0, 0, 3, 0, 1, 0, 3, 0, 0, 0, 3, 0, 0, 2, 0, 2, 0, 0, + 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 0, 2, 0, 0, 3, 3, 2, 3, 3, 0, + 1, 0, 2, 2, 0, 3, 3, 1, 1, 0, 2, 3, 2, 1, 1, 0, 1, 2, 1, 2, + 2, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 3, 3, 2, 0, 0, 1, 3, 0, 3, + 3, 0, 0, 0, 0, 3, 3, 1, 0, 0, 3, 3, 2, 1, 2, 1, 3, 3, 0, 1, + 3, 0, 2, 3, 1, 3, 3, 3, 3, 3, 0, 1, 1, 3, 0, 2, 2, 3, 1, 2, + 2, 2, 1, 3, 3, 0, 3, 0, 0, 2, 0, 2, 3, 0, 1, 3, 2, 2, 0, 0, + 2, 3, 0, 2, 2, 2, 3, 1, 0, 3, 3, 3, 3, 1, 0, 3, 3, 2, 0, 3, + 2, 0, 3, 0, 2, 0, 0, 2, 2, 1, 0, 2, 3, 1, 1, 1, 1, 2, 3, 3, + 3, 0, 0, 3, 3, 3, 2, 3, 3, 1, 2, 2, 3, 1, 2, 1, 1, 3, 0, 1, + 2, 0, 2, 0, 0, 1, 3, 2, 0, 1, 3, 2, 3, 3, 0, 0, 0, 1, 0, 3, + 3, 2, 2, 2, 1, 1, 2, 2, 1, 3, 2, 0, 1, 3, 2, 0, 2, 1, 3, 0, + 0, 0, 1, 3, 3, 2, 2, 2, 3, 1, 0, 0, 1, 1, 2, 1, 3, 1, 1, 2, + 2, 3, 2, 3, 0, 2, 3, 3, 0, 3, 0, 0, 1, 0, 0, 0, 1, 3, 1, 1, + 2, 3, 2, 1, 1, 2, 2, 2, 3, 0, 1, 1, 2, 1, 2, 0, 2, 3, 1, 3, + 0, 1, 1, 3, 0, 2, 3, 0, 1, 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 2, + 3, 0, 1, 1, 1, 1, 2, 0, 1, 2, 0, 1, 1, 1, 0, 1, 3, 2, 3, 1, + 0, 2, 1, 2, 1, 3, 3, 1, 0, 2, 2, 3, 1, 3, 1, 3, 0, 1, 0, 3, + 0, 3, 2, 0, 3, 3, 3, 0, 3, 2, 2, 2, 1, 3, 0, 0, 1, 1, 3, 0, + 1, 2, 1, 0, 0, 0, 3, 2, 2, 0, 0, 2, 1, 3, 0, 0, 3, 0, 0, 2, + 1, 1, 2, 2, 1, 3, 2, 2, 1, 1, 2, 1, 3, 2, 1, 1, 3, 0, 1, 3, + 3, 2, 2, 1, 0, 3, 2, 2, 2, 3, 0, 1, 3, 3, 2, 3, 0, 3, 2, 3, + 1, 1, 0, 0, 0, 2, 3, 0, 3, 0, 1, 1, 3, 1, 3, 2, 1, 1, 2, 1, + 3, 2, 0, 2, 1, 0, 2, 3, 2, 3, 2, 1, 2, 3, 0, 0, 1, 1, 0, 0, + 2, 1, 0, 1, 2, 2, 2, 2, 0, 3, 3, 1, 0, 0, 0, 0, 3, 1, 1, 0, + 0, 0, 0, 1, 2, 2, 1, 3, 0, 2, 3, 2, 3, 2, 2, 1, 2, 2, 3, 3, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 2, 2, 3, 1, 1, 1, 0, 0, 0, 3, 0, + 1, 0, 3, 1, 1, 3, 0, 1, 2, 2, 0, 0, 3, 3, 3, 3, 2, 1, 0, 0, + 1, 0, 2, 0, 1, 1, 0, 0, 3, 3, 2, 1, 1, 1, 0, 1, 1, 2, 2, 1, + 1, 2, 0, 3, 1, 3, 1, 0, 3, 0, 3, 1, 1, 1, 0, 2, 0, 3, 1, 0, + 1, 0, 2, 0, 2, 3, 3, 3, 1, 2, 3, 2, 2, 0, 1, 1, 0, 3, 3, 1, + 3, 3, 2, 0, 2, 0, 2, 2, 3, 3, 3, 0, 2, 3, 3, 1, 3, 2, 2, 2, + 0, 2, 3, 0, 2, 0, 3, 2, 2, 1, 1, 0, 2, 2, 2, 0, 2, 2, 0, 1, + 3, 2, 1, 3, 2, 2, 0, 3, 3, 1, 2, 2, 0, 0, 3, 2, 1, 2, 2, 1, + 3, 1, 2, 0, 0, 1, 1, 2, 1, 3, 2, 2, 3, 0, 2, 1, 3, 2, 1, 3, + 2, 3, 3, 1, 2, 1, 2, 2, 0, 0, 0, 3, 0, 2, 3, 1, 0, 0, 2, 3, + 3, 2, 2, 1 +}; + +static data_t input2_data[ARRAY_SIZE] = +{ + 1, 1, 0, 3, 1, 2, 0, 0, 0, 0, 0, 2, 1, 2, 3, 0, 0, 3, 3, 2, + 2, 1, 2, 3, 3, 0, 2, 2, 1, 1, 2, 2, 0, 2, 2, 1, 2, 3, 2, 2, + 3, 3, 2, 2, 1, 1, 1, 1, 2, 1, 2, 2, 3, 3, 3, 0, 0, 3, 2, 3, + 2, 3, 1, 2, 1, 1, 2, 2, 0, 1, 0, 3, 2, 1, 1, 1, 2, 0, 1, 2, + 2, 0, 2, 1, 3, 3, 2, 3, 2, 0, 3, 1, 3, 3, 2, 0, 1, 0, 1, 1, + 2, 2, 1, 1, 2, 2, 1, 2, 3, 3, 1, 3, 2, 2, 2, 3, 3, 1, 0, 2, + 1, 0, 0, 0, 1, 1, 2, 0, 3, 2, 3, 3, 0, 2, 3, 1, 0, 0, 2, 1, + 2, 0, 2, 1, 1, 2, 3, 1, 3, 2, 1, 0, 0, 0, 0, 0, 2, 2, 0, 2, + 1, 2, 0, 3, 2, 2, 0, 0, 3, 2, 1, 1, 3, 0, 2, 0, 0, 1, 0, 2, + 3, 3, 1, 3, 3, 0, 0, 2, 2, 0, 0, 0, 1, 0, 0, 1, 3, 0, 2, 1, + 3, 2, 2, 1, 3, 2, 0, 1, 2, 2, 3, 2, 1, 1, 1, 1, 3, 0, 1, 3, + 2, 2, 3, 1, 1, 2, 0, 2, 1, 1, 2, 3, 1, 0, 1, 0, 1, 1, 0, 0, + 2, 0, 3, 0, 3, 0, 3, 2, 2, 3, 3, 2, 1, 0, 2, 2, 1, 1, 0, 3, + 3, 2, 2, 0, 0, 3, 0, 1, 0, 0, 1, 2, 0, 1, 3, 0, 1, 2, 2, 0, + 0, 3, 0, 3, 0, 1, 1, 2, 0, 0, 0, 3, 0, 0, 2, 1, 1, 1, 0, 2, + 1, 3, 1, 2, 0, 3, 0, 3, 1, 3, 0, 0, 2, 2, 2, 2, 3, 3, 2, 1, + 2, 2, 1, 1, 2, 2, 2, 2, 0, 3, 0, 0, 2, 0, 1, 2, 0, 3, 2, 3, + 2, 0, 2, 1, 2, 1, 0, 2, 1, 1, 3, 2, 2, 3, 1, 0, 3, 3, 1, 0, + 3, 2, 2, 0, 0, 3, 0, 0, 2, 0, 3, 2, 3, 1, 1, 0, 0, 2, 3, 0, + 0, 1, 1, 1, 2, 1, 3, 2, 1, 3, 0, 1, 3, 3, 1, 1, 1, 1, 1, 1, + 0, 0, 2, 3, 2, 2, 2, 3, 2, 3, 1, 2, 3, 2, 2, 2, 0, 1, 3, 0, + 1, 1, 0, 1, 0, 1, 1, 3, 3, 1, 2, 2, 3, 2, 0, 2, 2, 0, 1, 3, + 0, 1, 3, 2, 1, 3, 3, 2, 0, 1, 3, 2, 0, 2, 1, 1, 0, 3, 0, 1, + 1, 1, 1, 1, 3, 0, 0, 1, 0, 2, 3, 1, 3, 0, 2, 1, 3, 0, 3, 0, + 3, 2, 2, 0, 0, 2, 1, 3, 3, 2, 3, 2, 2, 1, 2, 2, 3, 0, 3, 2, + 2, 0, 3, 2, 3, 2, 0, 0, 1, 2, 0, 0, 2, 0, 0, 3, 3, 2, 0, 0, + 3, 3, 0, 2, 3, 1, 0, 1, 0, 2, 1, 0, 2, 1, 0, 1, 0, 3, 0, 2, + 2, 3, 0, 0, 2, 1, 0, 1, 0, 0, 0, 2, 2, 3, 2, 0, 3, 3, 2, 1, + 0, 0, 3, 1, 2, 3, 3, 1, 0, 3, 1, 1, 0, 3, 3, 3, 2, 2, 2, 0, + 1, 2, 0, 3, 0, 1, 0, 1, 1, 0, 1, 2, 0, 3, 2, 0, 1, 2, 2, 0, + 2, 0, 0, 1, 0, 3, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 1, 1, 1, 0, + 2, 1, 1, 3, 2, 0, 2, 1, 1, 0, 2, 2, 1, 3, 0, 2, 1, 0, 1, 2, + 0, 1, 3, 2, 3, 2, 1, 0, 2, 0, 2, 2, 3, 1, 1, 3, 2, 3, 2, 2, + 0, 2, 0, 0, 0, 3, 2, 0, 2, 2, 3, 3, 3, 2, 1, 2, 0, 0, 3, 0, + 2, 0, 3, 2, 2, 3, 0, 3, 2, 1, 2, 2, 1, 2, 0, 0, 3, 1, 2, 0, + 2, 3, 2, 2, 1, 1, 1, 3, 3, 3, 3, 3, 1, 3, 0, 1, 3, 2, 2, 1, + 0, 1, 1, 2, 1, 2, 3, 1, 2, 2, 1, 2, 1, 1, 0, 3, 3, 1, 1, 3, + 2, 0, 0, 1, 2, 0, 1, 3, 1, 0, 0, 2, 2, 3, 3, 0, 2, 3, 2, 1, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 3, 3, 3, 1, 3, 0, 3, 1, 1, 2, 2, + 2, 1, 0, 3, 2, 3, 0, 2, 3, 2, 3, 1, 2, 3, 3, 1, 2, 1, 0, 0, + 0, 3, 3, 3, 3, 0, 3, 3, 3, 3, 2, 1, 0, 3, 0, 3, 2, 3, 1, 0, + 0, 1, 3, 1, 0, 2, 2, 3, 1, 0, 2, 1, 1, 3, 1, 1, 3, 1, 2, 1, + 0, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 3, 3, 1, 0, 3, 1, 1, 2, 0, + 0, 0, 2, 3, 3, 2, 2, 3, 0, 2, 3, 1, 3, 3, 0, 2, 1, 2, 2, 2, + 1, 0, 1, 3, 2, 3, 1, 1, 2, 1, 1, 0, 0, 2, 3, 2, 1, 0, 3, 1, + 3, 0, 1, 1, 2, 2, 1, 3, 3, 1, 1, 0, 0, 3, 3, 0, 0, 0, 0, 0, + 3, 1, 3, 0, 0, 0, 3, 3, 2, 1, 3, 0, 1, 3, 1, 1, 1, 0, 1, 0, + 1, 2, 2, 2, 3, 3, 0, 2, 3, 2, 1, 3, 3, 1, 1, 3, 0, 3, 3, 2, + 1, 1, 2, 0, 3, 0, 1, 2, 1, 1, 0, 0, 1, 2, 2, 0, 3, 1, 1, 1, + 3, 3, 3, 1, 0, 3, 3, 2, 2, 2, 1, 2, 0, 1, 1, 3, 0, 3, 1, 0, + 2, 2, 0, 1, 2, 3, 2, 1, 2, 0, 3, 2, 1, 3, 0, 1, 2, 0, 3, 0, + 1, 1, 2, 1 +}; + +static data_t verify_data[ARRAY_SIZE] = +{ + 72, 75, 88, 101, 80, 88, 73, 75, 80, 81, 58, 75, 86, 65, 60, 80, 84, 83, 87, 83, + 108, 93, 85, 76, 72, 98, 79, 86, 80, 96, 91, 85, 72, 64, 70, 83, 68, 92, 51, 54, + 85, 85, 60, 58, 90, 64, 55, 69, 72, 48, 94, 77, 91, 83, 70, 69, 67, 77, 59, 50, + 67, 74, 77, 67, 67, 62, 72, 71, 68, 79, 54, 61, 67, 61, 55, 62, 78, 60, 53, 64, + 67, 69, 99, 68, 88, 60, 66, 63, 70, 62, 65, 50, 53, 66, 70, 72, 75, 78, 85, 95, + 71, 89, 70, 68, 86, 88, 58, 77, 84, 70, 65, 68, 73, 75, 91, 96, 105, 92, 76, 68, + 86, 69, 80, 59, 73, 83, 88, 75, 64, 63, 71, 99, 77, 77, 69, 55, 80, 73, 54, 73, + 87, 78, 60, 69, 65, 78, 86, 89, 95, 92, 63, 69, 89, 61, 80, 65, 70, 77, 89, 77, + 79, 79, 73, 92, 64, 81, 60, 78, 81, 80, 61, 63, 89, 65, 56, 83, 77, 65, 102, 70, + 98, 86, 96, 68, 72, 89, 73, 73, 70, 89, 84, 76, 48, 61, 63, 70, 70, 79, 50, 53, + 64, 63, 43, 51, 59, 62, 43, 63, 55, 77, 79, 74, 75, 74, 64, 44, 65, 69, 72, 66, + 54, 71, 74, 72, 69, 76, 68, 89, 94, 75, 65, 53, 85, 79, 65, 74, 82, 73, 58, 70, + 84, 77, 99, 72, 92, 84, 78, 62, 59, 83, 71, 74, 63, 85, 80, 78, 71, 72, 79, 83, + 73, 82, 60, 85, 76, 82, 60, 70, 82, 68, 54, 85, 84, 70, 86, 74, 100, 88, 98, 68, + 67, 87, 69, 73, 68, 88, 76, 71, 47, 43, 47, 80, 54, 65, 40, 37, 59, 53, 33, 48, + 62, 40, 36, 55, 36, 62, 53, 57, 70, 69, 45, 43, 53, 61, 42, 57, 56, 63, 51, 47, + 59, 75, 64, 89, 83, 75, 59, 75, 91, 92, 58, 64, 83, 74, 58, 60, 76, 66, 97, 69, + 90, 95, 92, 64, 78, 75, 77, 73, 65, 78, 82, 75, 47, 54, 59, 71, 59, 56, 53, 42, + 60, 55, 40, 51, 60, 46, 36, 59, 46, 57, 67, 43, 51, 53, 53, 38, 54, 56, 55, 48, + 41, 46, 63, 63, 80, 77, 89, 102, 89, 98, 74, 86, 98, 93, 63, 76, 98, 77, 48, 101, + 86, 88, 100, 82, 102, 90, 95, 75, 86, 103, 83, 98, 80, 104, 98, 86, 71, 74, 80, 90, + 86, 87, 73, 70, 81, 83, 55, 66, 90, 66, 58, 84, 77, 84, 93, 72, 99, 75, 85, 65, + 70, 89, 71, 82, 64, 79, 82, 80, 67, 73, 86, 101, 78, 97, 66, 64, 84, 80, 55, 64, + 79, 73, 51, 79, 89, 68, 94, 77, 109, 102, 82, 61, 66, 93, 88, 70, 82, 82, 85, 69, + 69, 72, 66, 97, 85, 90, 70, 59, 76, 89, 53, 56, 90, 79, 71, 64, 70, 67, 100, 92, + 106, 89, 83, 78, 73, 80, 70, 72, 65, 70, 92, 88, 57, 76, 55, 85, 66, 80, 61, 63, + 63, 78, 54, 58, 71, 73, 54, 63, 63, 62, 89, 76, 86, 81, 83, 54, 70, 81, 78, 64, + 56, 72, 74, 81, 75, 63, 68, 89, 65, 77, 58, 68, 75, 83, 52, 62, 82, 63, 55, 75, + 51, 70, 95, 66, 83, 77, 86, 61, 64, 77, 48, 70, 66, 82, 72, 75, 79, 71, 72, 89, + 78, 78, 66, 59, 91, 80, 55, 64, 79, 68, 54, 71, 67, 75, 87, 84, 100, 101, 76, 58, + 74, 82, 61, 74, 75, 97, 85, 79, 61, 55, 69, 68, 72, 65, 52, 64, 80, 73, 48, 54, + 71, 66, 42, 61, 66, 63, 92, 64, 85, 77, 73, 54, 74, 73, 76, 66, 62, 79, 85, 70, + 71, 84, 87, 81, 88, 86, 77, 77, 93, 88, 78, 71, 101, 89, 58, 84, 95, 81, 89, 97, + 104, 79, 83, 76, 90, 81, 91, 74, 70, 76, 91, 80, 51, 48, 56, 69, 47, 63, 54, 42, + 63, 63, 42, 52, 66, 56, 39, 59, 61, 52, 59, 63, 62, 68, 57, 35, 67, 58, 56, 52, + 61, 63, 60, 47, 85, 75, 89, 106, 88, 95, 74, 82, 107, 107, 64, 78, 98, 90, 62, 91, + 79, 87, 111, 84, 104, 106, 96, 68, 94, 99, 81, 89, 79, 105, 95, 86, 65, 63, 77, 89, + 66, 88, 56, 73, 82, 92, 41, 62, 85, 66, 50, 81, 57, 71, 77, 78, 86, 89, 77, 53, + 67, 78, 61, 63, 72, 82, 69, 66, 59, 46, 55, 70, 56, 64, 45, 50, 65, 64, 42, 56, + 78, 49, 51, 52, 38, 56, 72, 55, 73, 72, 61, 50, 63, 60, 47, 57, 55, 73, 53, 68, + 85, 88, 91, 96, 82, 89, 73, 76, 87, 86, 67, 69, 96, 84, 57, 89, 87, 89, 99, 88, + 104, 90, 85, 75, 88, 92, 85, 75, 74, 87, 103, 94, 55, 48, 56, 65, 72, 50, 45, 51, + 63, 62, 47, 57, 79, 53, 36, 63, 54, 68, 71, 59, 63, 61, 63, 41, 50, 73, 57, 59, + 56, 76, 73, 65, 61, 64, 61, 79, 53, 73, 57, 44, 61, 59, 59, 56, 81, 59, 49, 62, + 65, 55, 69, 72, 79, 70, 58, 57, 68, 61, 62, 50, 57, 60, 66, 66, 63, 77, 81, 89, + 85, 81, 76, 73, 78, 95, 59, 70, 81, 77, 46, 79, 78, 79, 83, 81, 84, 82, 85, 48, + 74, 85, 85, 74, 74, 80, 80, 74, 60, 76, 80, 97, 88, 93, 66, 66, 73, 84, 56, 70, + 90, 63, 58, 78, 73, 93, 90, 78, 94, 88, 82, 67, 85, 70, 81, 86, 74, 82, 88, 82, + 68, 73, 75, 91, 78, 97, 71, 66, 74, 85, 50, 59, 86, 77, 70, 74, 75, 74, 99, 82, + 99, 91, 86, 65, 80, 77, 72, 69, 60, 78, 90, 87, 79, 69, 74, 98, 70, 86, 81, 67, + 69, 78, 48, 65, 88, 70, 70, 70, 69, 72, 96, 90, 99, 82, 81, 76, 98, 73, 74, 71, + 69, 73, 94, 89 +}; + diff --git a/mt/ag_matmul/matmul_gendata.pl b/mt/ag_matmul/matmul_gendata.pl new file mode 100755 index 0000000..f21bb46 --- /dev/null +++ b/mt/ag_matmul/matmul_gendata.pl @@ -0,0 +1,200 @@ +#!/usr/bin/perl -w +#========================================================================== +# matmul_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the matmul benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: matmul_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[ARRAY_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3d",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + + + +#-------------------------------------------------------------------------- +# Matmul +#-------------------------------------------------------------------------- + +# http://answers.oreilly.com/topic/418-how-to-multiply-matrices-in-perl/ + +sub mmult { + my ($m1,$m2) = @_; + my ($m1rows,$m1cols) = matdim($m1); + my ($m2rows,$m2cols) = matdim($m2); + + my $result = [ ]; + my ($i, $j, $k); + + for $i (range($m1rows)) { + for $j (range($m2cols)) { + for $k (range($m1cols)) { + $result->[$i][$j] += $m1->[$i][$k] * $m2->[$k][$j]; + } + } + } + return $result; +} + +sub range { 0 .. ($_[0] - 1) } + + +sub veclen { + my $ary_ref = $_[0]; + my $type = ref $ary_ref; + if ($type ne "ARRAY") { die "$type is bad array ref for $ary_ref" } + return scalar(@$ary_ref); +} + +sub matdim { + my $matrix = $_[0]; + my $rows = veclen($matrix); + my $cols = veclen($matrix->[0]); + return ($rows, $cols); +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + # create random input arrays + my $mat_values1; + my $mat_values2; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + $mat_values1->[$i][$j] = int(rand(4)); + $mat_values2->[$i][$j] = int(rand(4)); + } + } + + # perform matmul + my $mat_results = mmult( $mat_values1, $mat_values2 ); + + # translate 2d arrays to 1d-somethings (I don't know how to code in perl - Chris) + my @values1; + my @values2; + my @results; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + my $value1 = $mat_values1->[$i][$j]; + my $value2 = $mat_values2->[$i][$j]; + my $result = $mat_results->[$i][$j]; + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @results, $result ); + } + } + + print "\n\#define ARRAY_SIZE ".($opts{"size"}*$opts{"size"})." \n\n"; + print "\n\#define DIM_SIZE ".$opts{"size"}." \n\n"; + + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@results); + +} + +main(); + diff --git a/mt/ag_matmul/matmul_mi.c b/mt/ag_matmul/matmul_mi.c new file mode 100755 index 0000000..9782d78 --- /dev/null +++ b/mt/ag_matmul/matmul_mi.c @@ -0,0 +1,230 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ +unsigned long _c = -rdcycle(), _i = -rdinstret(); \ +code; \ +_c += rdcycle(), _i += rdinstret(); \ +if (coreid == 0) \ +printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ +stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ +} while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + for ( i = 0; i < lda; i+=2 ) + { + for (k = 0; k < lda; k+=4) + { + int d0 = B[k*lda + i]; + int c0 = B[k*lda + i + 1]; + int d1 = B[(k+1)*lda + i]; + int c1 = B[(k+1)*lda + i + 1]; + int d2 = B[(k+2)*lda + i]; + int c2 = B[(k+2)*lda + i + 1]; + int d3 = B[(k+3)*lda + i]; + int c3 = B[(k+3)*lda + i + 1]; + + for ( j = coreid*(lda/ncores); j < (coreid+1)*(lda/ncores); j+=4) + { + + int sum = A[j*lda + k] * d0; + sum += A[j*lda + k + 1] * d1; + sum += A[j*lda + k + 2] * d2; + sum += A[j*lda + k + 3] * d3; + C[j*lda +i] += sum; + + sum = A[j*lda + k] * c0; + sum += A[j*lda + k + 1] * c1; + sum += A[j*lda + k + 2] * c2; + sum += A[j*lda + k + 3] * c3; + C[j*lda + i + 1] += sum; + + sum = A[(j+1)*lda + k] * d0; + sum += A[(j+1)*lda + k + 1] * d1; + sum += A[(j+1)*lda + k + 2] * d2; + sum += A[(j+1)*lda + k + 3] * d3; + C[(j+1)*lda +i] += sum; + + sum = A[(j+1)*lda + k] * c0; + sum += A[(j+1)*lda + k + 1] * c1; + sum += A[(j+1)*lda + k + 2] * c2; + sum += A[(j+1)*lda + k + 3] * c3; + C[(j+1)*lda + i + 1] += sum; + + sum = A[(j+2)*lda + k] * d0; + sum += A[(j+2)*lda + k + 1] * d1; + sum += A[(j+2)*lda + k + 2] * d2; + sum += A[(j+2)*lda + k + 3] * d3; + C[(j+2)*lda +i] += sum; + + sum = A[(j+2)*lda + k] * c0; + sum += A[(j+2)*lda + k + 1] * c1; + sum += A[(j+2)*lda + k + 2] * c2; + sum += A[(j+2)*lda + k + 3] * c3; + C[(j+2)*lda + i + 1] += sum; + + sum = A[(j+3)*lda + k] * d0; + sum += A[(j+3)*lda + k + 1] * d1; + sum += A[(j+3)*lda + k + 2] * d2; + sum += A[(j+3)*lda + k + 3] * d3; + C[(j+3)*lda +i] += sum; + + sum = A[(j+3)*lda + k] * c0; + sum += A[(j+3)*lda + k + 1] * c1; + sum += A[(j+3)*lda + k + 2] * c2; + sum += A[(j+3)*lda + k + 3] * c3; + C[(j+3)*lda + i + 1] += sum; + + } + barrier(); + } + } +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + +// // Execute the provided, naive matmul +// barrier(); +// stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); +// +// +// // verify +// verify(ARRAY_SIZE, results_data, verify_data); +// +// // clear results from the first trial +// size_t i; +// if (coreid == 0) +// for (i=0; i < ARRAY_SIZE; i++) +// results_data[i] = 0; +// barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/ag_vvadd/ag_vvadd.c b/mt/ag_vvadd/ag_vvadd.c new file mode 100755 index 0000000..8594c5f --- /dev/null +++ b/mt/ag_vvadd/ag_vvadd.c @@ -0,0 +1,171 @@ +//************************************************************************** +// Vector-vector add benchmark +//-------------------------------------------------------------------------- +// Author : Andrew Waterman +// TA : Christopher Celio +// Student : +// +// This benchmark adds two vectors and writes the results to a +// third vector. The input data (and reference data) should be +// generated using the vvadd_gendata.pl perl script and dumped +// to a file named dataset.h + +// to print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DATA_SIZE, 10*_c/DATA_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %4ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %4ld, correct[%d]= %4ld\n", + i, (long) test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// vvadd function + +//perform in-place vvadd +void __attribute__((noinline)) vvadd(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + size_t i; + + // interleave accesses + for (i = coreid; i < n; i+=ncores) + { + x[i] = x[i] + y[i]; + } +} + +void __attribute__((noinline)) vvadd_opt(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + + size_t i; + + for (i = coreid*(n/2); i < (coreid+1)*(n/2); i++){ + x[i] = x[i] + y[i]; + } +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[DATA_SIZE]; + + // because we're going to perform an in-place vvadd (and we're going to run + // it a couple of times) let's copy the input data to a temporary results + // array + + size_t i; + if (coreid == 0) + { + for (i = 0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + + + // Execute the provided, terrible vvadd + barrier(); + stats(vvadd(DATA_SIZE, results_data, input2_data); barrier()); + + + // verify + verify(DATA_SIZE, results_data, verify_data); + + // reset results from the first trial + if (coreid == 0) + { + for (i=0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + barrier(); + + + // Execute your faster vvadd + barrier(); + stats(vvadd_opt(DATA_SIZE, results_data, input2_data); barrier()); + +#ifdef DEBUG + printArray("results: ", DATA_SIZE, results_data); + printArray("verify : ", DATA_SIZE, verify_data); +#endif + + // verify + verify(DATA_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/ag_vvadd/dataset.h b/mt/ag_vvadd/dataset.h new file mode 100755 index 0000000..ce9f936 --- /dev/null +++ b/mt/ag_vvadd/dataset.h @@ -0,0 +1,165 @@ + +#define DATA_SIZE 1000 + +static data_t input1_data[DATA_SIZE] = +{ + 0.00, 15.00, 10.00, 3.00, 14.00, 6.00, 2.00, 18.00, 11.00, 15.00, 11.00, 0.00, 17.00, 16.00, 7.00, 13.00, 18.00, 2.00, 2.00, 5.00, + 8.00, 5.00, 12.00, 14.00, 6.00, 12.00, 16.00, 7.00, 9.00, 17.00, 10.00, 10.00, 3.00, 5.00, 14.00, 11.00, 9.00, 12.00, 3.00, 1.00, + 5.00, 4.00, 6.00, 17.00, 17.00, 4.00, 17.00, 15.00, 17.00, 18.00, 3.00, 18.00, 10.00, 6.00, 12.00, 12.00, 3.00, 2.00, 16.00, 1.00, + 5.00, 6.00, 2.00, 17.00, 16.00, 5.00, 10.00, 18.00, 14.00, 4.00, 9.00, 9.00, 7.00, 4.00, 8.00, 13.00, 12.00, 6.00, 4.00, 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vvadd_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the vvadd benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: vvadd_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[DATA_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3.2f",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + my @values1; + my @values2; + my @sum; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + my $value1 = int(rand(19)); + my $value2 = int(rand(19)); + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @sum, $value1 + $value2 ); + } + + + print "\n\#define DATA_SIZE ".$opts{"size"}." \n\n"; + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@sum ); + +} + +main(); + diff --git a/mt/ai_matmul/ai_matmul.c b/mt/ai_matmul/ai_matmul.c new file mode 100755 index 0000000..e74a5d3 --- /dev/null +++ b/mt/ai_matmul/ai_matmul.c @@ -0,0 +1,222 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + +//----------MSI-------------- +///* + int i,j,k; + barrier(); + for(j = coreid*lda/ncores; j < coreid*lda/ncores + lda/ncores; j++) { + for(i = 0; i < lda; i+=4) { + data_t Cval0 = 0; + data_t Cval1 = 0; + data_t Cval2 = 0; + data_t Cval3 = 0; + for(k = 0; k < lda; k++) { + Cval0 += A[j*lda+k]*B[k*lda+i]; + Cval1 += A[j*lda+k]*B[k*lda+i+1]; + Cval2 += A[j*lda+k]*B[k*lda+i+2]; + Cval3 += A[j*lda+k]*B[k*lda+i+3]; + } + C[j*lda+i] = Cval0; + C[j*lda+i+1] = Cval1; + C[j*lda+i+2] = Cval2; + C[j*lda+i+3] = Cval3; + } + } +//*/ + +//------------------MI------------------- +/* + int i,j,k; + barrier(); + for(j = coreid*lda/ncores; j < coreid*lda/ncores + lda/ncores; j++) { + for(i = 0; i < lda; i+=4) { + data_t Cval0 = 0; + data_t Cval1 = 0; + data_t Cval2 = 0; + data_t Cval3 = 0; + if(coreid == 0) { + for(k = 0; k < lda; k++) { + Cval0 += A[j*lda+k]*B[k*lda+i]; + Cval1 += A[j*lda+k]*B[k*lda+i+1]; + Cval2 += A[j*lda+k]*B[k*lda+i+2]; + Cval3 += A[j*lda+k]*B[k*lda+i+3]; + } + } else { + for(k = lda-1; k >= 0; k--) { + Cval0 += A[j*lda+k]*B[k*lda+i]; + Cval1 += A[j*lda+k]*B[k*lda+i+1]; + Cval2 += A[j*lda+k]*B[k*lda+i+2]; + Cval3 += A[j*lda+k]*B[k*lda+i+3]; + } + } + C[j*lda+i] = Cval0; + C[j*lda+i+1] = Cval1; + C[j*lda+i+2] = Cval2; + C[j*lda+i+3] = Cval3; + } + } +*/ +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + +// // Execute the provided, naive matmul +// barrier(); +// stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); +// +// +// // verify +// verify(ARRAY_SIZE, results_data, verify_data); +// +// // clear results from the first trial +// size_t i; +// if (coreid == 0) +// for (i=0; i < ARRAY_SIZE; i++) +// results_data[i] = 0; +// barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/ai_matmul/dataset.h b/mt/ai_matmul/dataset.h new file mode 100755 index 0000000..dde3ee4 --- /dev/null +++ b/mt/ai_matmul/dataset.h @@ -0,0 +1,174 @@ + +#define ARRAY_SIZE 1024 + + +#define DIM_SIZE 32 + +static data_t input1_data[ARRAY_SIZE] = +{ + 0, 3, 2, 0, 3, 1, 0, 3, 2, 3, 2, 0, 3, 3, 1, 2, 3, 0, 0, 1, + 1, 1, 2, 3, 1, 2, 3, 1, 1, 3, 2, 2, 0, 1, 3, 2, 2, 2, 0, 0, + 1, 0, 1, 3, 3, 0, 3, 3, 3, 3, 0, 3, 2, 1, 2, 2, 0, 0, 3, 0, + 1, 1, 0, 3, 3, 1, 2, 3, 3, 0, 1, 2, 1, 0, 1, 2, 2, 1, 0, 3, + 1, 0, 2, 2, 1, 1, 1, 1, 1, 1, 2, 0, 3, 1, 1, 2, 2, 3, 3, 1, + 3, 2, 0, 0, 0, 3, 3, 3, 2, 1, 2, 3, 1, 0, 0, 0, 0, 1, 2, 2, + 1, 1, 3, 3, 3, 1, 1, 2, 3, 1, 3, 3, 2, 3, 2, 1, 2, 3, 0, 2, + 2, 1, 1, 0, 0, 0, 0, 0, 1, 3, 3, 1, 1, 1, 2, 2, 3, 2, 1, 1, + 1, 1, 3, 0, 2, 2, 1, 3, 2, 1, 2, 2, 1, 3, 1, 3, 1, 3, 2, 3, + 1, 2, 1, 3, 2, 2, 0, 1, 0, 0, 1, 2, 3, 3, 1, 0, 0, 0, 3, 1, + 2, 3, 2, 3, 2, 0, 0, 0, 0, 0, 3, 1, 3, 0, 0, 0, 3, 1, 1, 1, + 1, 2, 1, 2, 3, 2, 0, 0, 2, 2, 3, 0, 3, 0, 0, 3, 0, 3, 1, 3, + 3, 1, 1, 1, 2, 2, 1, 3, 0, 3, 3, 1, 0, 0, 3, 2, 1, 3, 3, 3, + 1, 0, 1, 1, 2, 1, 0, 1, 1, 2, 2, 3, 1, 2, 2, 2, 0, 1, 3, 3, + 3, 2, 2, 1, 0, 1, 2, 0, 1, 1, 1, 1, 2, 3, 2, 2, 3, 3, 0, 0, + 2, 0, 0, 0, 3, 0, 1, 0, 3, 0, 0, 0, 3, 0, 0, 2, 0, 2, 0, 0, + 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 0, 2, 0, 0, 3, 3, 2, 3, 3, 0, + 1, 0, 2, 2, 0, 3, 3, 1, 1, 0, 2, 3, 2, 1, 1, 0, 1, 2, 1, 2, + 2, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 3, 3, 2, 0, 0, 1, 3, 0, 3, + 3, 0, 0, 0, 0, 3, 3, 1, 0, 0, 3, 3, 2, 1, 2, 1, 3, 3, 0, 1, + 3, 0, 2, 3, 1, 3, 3, 3, 3, 3, 0, 1, 1, 3, 0, 2, 2, 3, 1, 2, + 2, 2, 1, 3, 3, 0, 3, 0, 0, 2, 0, 2, 3, 0, 1, 3, 2, 2, 0, 0, + 2, 3, 0, 2, 2, 2, 3, 1, 0, 3, 3, 3, 3, 1, 0, 3, 3, 2, 0, 3, + 2, 0, 3, 0, 2, 0, 0, 2, 2, 1, 0, 2, 3, 1, 1, 1, 1, 2, 3, 3, + 3, 0, 0, 3, 3, 3, 2, 3, 3, 1, 2, 2, 3, 1, 2, 1, 1, 3, 0, 1, + 2, 0, 2, 0, 0, 1, 3, 2, 0, 1, 3, 2, 3, 3, 0, 0, 0, 1, 0, 3, + 3, 2, 2, 2, 1, 1, 2, 2, 1, 3, 2, 0, 1, 3, 2, 0, 2, 1, 3, 0, + 0, 0, 1, 3, 3, 2, 2, 2, 3, 1, 0, 0, 1, 1, 2, 1, 3, 1, 1, 2, + 2, 3, 2, 3, 0, 2, 3, 3, 0, 3, 0, 0, 1, 0, 0, 0, 1, 3, 1, 1, + 2, 3, 2, 1, 1, 2, 2, 2, 3, 0, 1, 1, 2, 1, 2, 0, 2, 3, 1, 3, + 0, 1, 1, 3, 0, 2, 3, 0, 1, 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 2, + 3, 0, 1, 1, 1, 1, 2, 0, 1, 2, 0, 1, 1, 1, 0, 1, 3, 2, 3, 1, + 0, 2, 1, 2, 1, 3, 3, 1, 0, 2, 2, 3, 1, 3, 1, 3, 0, 1, 0, 3, + 0, 3, 2, 0, 3, 3, 3, 0, 3, 2, 2, 2, 1, 3, 0, 0, 1, 1, 3, 0, + 1, 2, 1, 0, 0, 0, 3, 2, 2, 0, 0, 2, 1, 3, 0, 0, 3, 0, 0, 2, + 1, 1, 2, 2, 1, 3, 2, 2, 1, 1, 2, 1, 3, 2, 1, 1, 3, 0, 1, 3, + 3, 2, 2, 1, 0, 3, 2, 2, 2, 3, 0, 1, 3, 3, 2, 3, 0, 3, 2, 3, + 1, 1, 0, 0, 0, 2, 3, 0, 3, 0, 1, 1, 3, 1, 3, 2, 1, 1, 2, 1, + 3, 2, 0, 2, 1, 0, 2, 3, 2, 3, 2, 1, 2, 3, 0, 0, 1, 1, 0, 0, + 2, 1, 0, 1, 2, 2, 2, 2, 0, 3, 3, 1, 0, 0, 0, 0, 3, 1, 1, 0, + 0, 0, 0, 1, 2, 2, 1, 3, 0, 2, 3, 2, 3, 2, 2, 1, 2, 2, 3, 3, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 2, 2, 3, 1, 1, 1, 0, 0, 0, 3, 0, + 1, 0, 3, 1, 1, 3, 0, 1, 2, 2, 0, 0, 3, 3, 3, 3, 2, 1, 0, 0, + 1, 0, 2, 0, 1, 1, 0, 0, 3, 3, 2, 1, 1, 1, 0, 1, 1, 2, 2, 1, + 1, 2, 0, 3, 1, 3, 1, 0, 3, 0, 3, 1, 1, 1, 0, 2, 0, 3, 1, 0, + 1, 0, 2, 0, 2, 3, 3, 3, 1, 2, 3, 2, 2, 0, 1, 1, 0, 3, 3, 1, + 3, 3, 2, 0, 2, 0, 2, 2, 3, 3, 3, 0, 2, 3, 3, 1, 3, 2, 2, 2, + 0, 2, 3, 0, 2, 0, 3, 2, 2, 1, 1, 0, 2, 2, 2, 0, 2, 2, 0, 1, + 3, 2, 1, 3, 2, 2, 0, 3, 3, 1, 2, 2, 0, 0, 3, 2, 1, 2, 2, 1, + 3, 1, 2, 0, 0, 1, 1, 2, 1, 3, 2, 2, 3, 0, 2, 1, 3, 2, 1, 3, + 2, 3, 3, 1, 2, 1, 2, 2, 0, 0, 0, 3, 0, 2, 3, 1, 0, 0, 2, 3, + 3, 2, 2, 1 +}; + +static data_t input2_data[ARRAY_SIZE] = +{ + 1, 1, 0, 3, 1, 2, 0, 0, 0, 0, 0, 2, 1, 2, 3, 0, 0, 3, 3, 2, + 2, 1, 2, 3, 3, 0, 2, 2, 1, 1, 2, 2, 0, 2, 2, 1, 2, 3, 2, 2, + 3, 3, 2, 2, 1, 1, 1, 1, 2, 1, 2, 2, 3, 3, 3, 0, 0, 3, 2, 3, + 2, 3, 1, 2, 1, 1, 2, 2, 0, 1, 0, 3, 2, 1, 1, 1, 2, 0, 1, 2, + 2, 0, 2, 1, 3, 3, 2, 3, 2, 0, 3, 1, 3, 3, 2, 0, 1, 0, 1, 1, + 2, 2, 1, 1, 2, 2, 1, 2, 3, 3, 1, 3, 2, 2, 2, 3, 3, 1, 0, 2, + 1, 0, 0, 0, 1, 1, 2, 0, 3, 2, 3, 3, 0, 2, 3, 1, 0, 0, 2, 1, + 2, 0, 2, 1, 1, 2, 3, 1, 3, 2, 1, 0, 0, 0, 0, 0, 2, 2, 0, 2, + 1, 2, 0, 3, 2, 2, 0, 0, 3, 2, 1, 1, 3, 0, 2, 0, 0, 1, 0, 2, + 3, 3, 1, 3, 3, 0, 0, 2, 2, 0, 0, 0, 1, 0, 0, 1, 3, 0, 2, 1, + 3, 2, 2, 1, 3, 2, 0, 1, 2, 2, 3, 2, 1, 1, 1, 1, 3, 0, 1, 3, + 2, 2, 3, 1, 1, 2, 0, 2, 1, 1, 2, 3, 1, 0, 1, 0, 1, 1, 0, 0, + 2, 0, 3, 0, 3, 0, 3, 2, 2, 3, 3, 2, 1, 0, 2, 2, 1, 1, 0, 3, + 3, 2, 2, 0, 0, 3, 0, 1, 0, 0, 1, 2, 0, 1, 3, 0, 1, 2, 2, 0, + 0, 3, 0, 3, 0, 1, 1, 2, 0, 0, 0, 3, 0, 0, 2, 1, 1, 1, 0, 2, + 1, 3, 1, 2, 0, 3, 0, 3, 1, 3, 0, 0, 2, 2, 2, 2, 3, 3, 2, 1, + 2, 2, 1, 1, 2, 2, 2, 2, 0, 3, 0, 0, 2, 0, 1, 2, 0, 3, 2, 3, + 2, 0, 2, 1, 2, 1, 0, 2, 1, 1, 3, 2, 2, 3, 1, 0, 3, 3, 1, 0, + 3, 2, 2, 0, 0, 3, 0, 0, 2, 0, 3, 2, 3, 1, 1, 0, 0, 2, 3, 0, + 0, 1, 1, 1, 2, 1, 3, 2, 1, 3, 0, 1, 3, 3, 1, 1, 1, 1, 1, 1, + 0, 0, 2, 3, 2, 2, 2, 3, 2, 3, 1, 2, 3, 2, 2, 2, 0, 1, 3, 0, + 1, 1, 0, 1, 0, 1, 1, 3, 3, 1, 2, 2, 3, 2, 0, 2, 2, 0, 1, 3, + 0, 1, 3, 2, 1, 3, 3, 2, 0, 1, 3, 2, 0, 2, 1, 1, 0, 3, 0, 1, + 1, 1, 1, 1, 3, 0, 0, 1, 0, 2, 3, 1, 3, 0, 2, 1, 3, 0, 3, 0, + 3, 2, 2, 0, 0, 2, 1, 3, 3, 2, 3, 2, 2, 1, 2, 2, 3, 0, 3, 2, + 2, 0, 3, 2, 3, 2, 0, 0, 1, 2, 0, 0, 2, 0, 0, 3, 3, 2, 0, 0, + 3, 3, 0, 2, 3, 1, 0, 1, 0, 2, 1, 0, 2, 1, 0, 1, 0, 3, 0, 2, + 2, 3, 0, 0, 2, 1, 0, 1, 0, 0, 0, 2, 2, 3, 2, 0, 3, 3, 2, 1, + 0, 0, 3, 1, 2, 3, 3, 1, 0, 3, 1, 1, 0, 3, 3, 3, 2, 2, 2, 0, + 1, 2, 0, 3, 0, 1, 0, 1, 1, 0, 1, 2, 0, 3, 2, 0, 1, 2, 2, 0, + 2, 0, 0, 1, 0, 3, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 1, 1, 1, 0, + 2, 1, 1, 3, 2, 0, 2, 1, 1, 0, 2, 2, 1, 3, 0, 2, 1, 0, 1, 2, + 0, 1, 3, 2, 3, 2, 1, 0, 2, 0, 2, 2, 3, 1, 1, 3, 2, 3, 2, 2, + 0, 2, 0, 0, 0, 3, 2, 0, 2, 2, 3, 3, 3, 2, 1, 2, 0, 0, 3, 0, + 2, 0, 3, 2, 2, 3, 0, 3, 2, 1, 2, 2, 1, 2, 0, 0, 3, 1, 2, 0, + 2, 3, 2, 2, 1, 1, 1, 3, 3, 3, 3, 3, 1, 3, 0, 1, 3, 2, 2, 1, + 0, 1, 1, 2, 1, 2, 3, 1, 2, 2, 1, 2, 1, 1, 0, 3, 3, 1, 1, 3, + 2, 0, 0, 1, 2, 0, 1, 3, 1, 0, 0, 2, 2, 3, 3, 0, 2, 3, 2, 1, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 3, 3, 3, 1, 3, 0, 3, 1, 1, 2, 2, + 2, 1, 0, 3, 2, 3, 0, 2, 3, 2, 3, 1, 2, 3, 3, 1, 2, 1, 0, 0, + 0, 3, 3, 3, 3, 0, 3, 3, 3, 3, 2, 1, 0, 3, 0, 3, 2, 3, 1, 0, + 0, 1, 3, 1, 0, 2, 2, 3, 1, 0, 2, 1, 1, 3, 1, 1, 3, 1, 2, 1, + 0, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 3, 3, 1, 0, 3, 1, 1, 2, 0, + 0, 0, 2, 3, 3, 2, 2, 3, 0, 2, 3, 1, 3, 3, 0, 2, 1, 2, 2, 2, + 1, 0, 1, 3, 2, 3, 1, 1, 2, 1, 1, 0, 0, 2, 3, 2, 1, 0, 3, 1, + 3, 0, 1, 1, 2, 2, 1, 3, 3, 1, 1, 0, 0, 3, 3, 0, 0, 0, 0, 0, + 3, 1, 3, 0, 0, 0, 3, 3, 2, 1, 3, 0, 1, 3, 1, 1, 1, 0, 1, 0, + 1, 2, 2, 2, 3, 3, 0, 2, 3, 2, 1, 3, 3, 1, 1, 3, 0, 3, 3, 2, + 1, 1, 2, 0, 3, 0, 1, 2, 1, 1, 0, 0, 1, 2, 2, 0, 3, 1, 1, 1, + 3, 3, 3, 1, 0, 3, 3, 2, 2, 2, 1, 2, 0, 1, 1, 3, 0, 3, 1, 0, + 2, 2, 0, 1, 2, 3, 2, 1, 2, 0, 3, 2, 1, 3, 0, 1, 2, 0, 3, 0, + 1, 1, 2, 1 +}; + +static data_t verify_data[ARRAY_SIZE] = +{ + 72, 75, 88, 101, 80, 88, 73, 75, 80, 81, 58, 75, 86, 65, 60, 80, 84, 83, 87, 83, + 108, 93, 85, 76, 72, 98, 79, 86, 80, 96, 91, 85, 72, 64, 70, 83, 68, 92, 51, 54, + 85, 85, 60, 58, 90, 64, 55, 69, 72, 48, 94, 77, 91, 83, 70, 69, 67, 77, 59, 50, + 67, 74, 77, 67, 67, 62, 72, 71, 68, 79, 54, 61, 67, 61, 55, 62, 78, 60, 53, 64, + 67, 69, 99, 68, 88, 60, 66, 63, 70, 62, 65, 50, 53, 66, 70, 72, 75, 78, 85, 95, + 71, 89, 70, 68, 86, 88, 58, 77, 84, 70, 65, 68, 73, 75, 91, 96, 105, 92, 76, 68, + 86, 69, 80, 59, 73, 83, 88, 75, 64, 63, 71, 99, 77, 77, 69, 55, 80, 73, 54, 73, + 87, 78, 60, 69, 65, 78, 86, 89, 95, 92, 63, 69, 89, 61, 80, 65, 70, 77, 89, 77, + 79, 79, 73, 92, 64, 81, 60, 78, 81, 80, 61, 63, 89, 65, 56, 83, 77, 65, 102, 70, + 98, 86, 96, 68, 72, 89, 73, 73, 70, 89, 84, 76, 48, 61, 63, 70, 70, 79, 50, 53, + 64, 63, 43, 51, 59, 62, 43, 63, 55, 77, 79, 74, 75, 74, 64, 44, 65, 69, 72, 66, + 54, 71, 74, 72, 69, 76, 68, 89, 94, 75, 65, 53, 85, 79, 65, 74, 82, 73, 58, 70, + 84, 77, 99, 72, 92, 84, 78, 62, 59, 83, 71, 74, 63, 85, 80, 78, 71, 72, 79, 83, + 73, 82, 60, 85, 76, 82, 60, 70, 82, 68, 54, 85, 84, 70, 86, 74, 100, 88, 98, 68, + 67, 87, 69, 73, 68, 88, 76, 71, 47, 43, 47, 80, 54, 65, 40, 37, 59, 53, 33, 48, + 62, 40, 36, 55, 36, 62, 53, 57, 70, 69, 45, 43, 53, 61, 42, 57, 56, 63, 51, 47, + 59, 75, 64, 89, 83, 75, 59, 75, 91, 92, 58, 64, 83, 74, 58, 60, 76, 66, 97, 69, + 90, 95, 92, 64, 78, 75, 77, 73, 65, 78, 82, 75, 47, 54, 59, 71, 59, 56, 53, 42, + 60, 55, 40, 51, 60, 46, 36, 59, 46, 57, 67, 43, 51, 53, 53, 38, 54, 56, 55, 48, + 41, 46, 63, 63, 80, 77, 89, 102, 89, 98, 74, 86, 98, 93, 63, 76, 98, 77, 48, 101, + 86, 88, 100, 82, 102, 90, 95, 75, 86, 103, 83, 98, 80, 104, 98, 86, 71, 74, 80, 90, + 86, 87, 73, 70, 81, 83, 55, 66, 90, 66, 58, 84, 77, 84, 93, 72, 99, 75, 85, 65, + 70, 89, 71, 82, 64, 79, 82, 80, 67, 73, 86, 101, 78, 97, 66, 64, 84, 80, 55, 64, + 79, 73, 51, 79, 89, 68, 94, 77, 109, 102, 82, 61, 66, 93, 88, 70, 82, 82, 85, 69, + 69, 72, 66, 97, 85, 90, 70, 59, 76, 89, 53, 56, 90, 79, 71, 64, 70, 67, 100, 92, + 106, 89, 83, 78, 73, 80, 70, 72, 65, 70, 92, 88, 57, 76, 55, 85, 66, 80, 61, 63, + 63, 78, 54, 58, 71, 73, 54, 63, 63, 62, 89, 76, 86, 81, 83, 54, 70, 81, 78, 64, + 56, 72, 74, 81, 75, 63, 68, 89, 65, 77, 58, 68, 75, 83, 52, 62, 82, 63, 55, 75, + 51, 70, 95, 66, 83, 77, 86, 61, 64, 77, 48, 70, 66, 82, 72, 75, 79, 71, 72, 89, + 78, 78, 66, 59, 91, 80, 55, 64, 79, 68, 54, 71, 67, 75, 87, 84, 100, 101, 76, 58, + 74, 82, 61, 74, 75, 97, 85, 79, 61, 55, 69, 68, 72, 65, 52, 64, 80, 73, 48, 54, + 71, 66, 42, 61, 66, 63, 92, 64, 85, 77, 73, 54, 74, 73, 76, 66, 62, 79, 85, 70, + 71, 84, 87, 81, 88, 86, 77, 77, 93, 88, 78, 71, 101, 89, 58, 84, 95, 81, 89, 97, + 104, 79, 83, 76, 90, 81, 91, 74, 70, 76, 91, 80, 51, 48, 56, 69, 47, 63, 54, 42, + 63, 63, 42, 52, 66, 56, 39, 59, 61, 52, 59, 63, 62, 68, 57, 35, 67, 58, 56, 52, + 61, 63, 60, 47, 85, 75, 89, 106, 88, 95, 74, 82, 107, 107, 64, 78, 98, 90, 62, 91, + 79, 87, 111, 84, 104, 106, 96, 68, 94, 99, 81, 89, 79, 105, 95, 86, 65, 63, 77, 89, + 66, 88, 56, 73, 82, 92, 41, 62, 85, 66, 50, 81, 57, 71, 77, 78, 86, 89, 77, 53, + 67, 78, 61, 63, 72, 82, 69, 66, 59, 46, 55, 70, 56, 64, 45, 50, 65, 64, 42, 56, + 78, 49, 51, 52, 38, 56, 72, 55, 73, 72, 61, 50, 63, 60, 47, 57, 55, 73, 53, 68, + 85, 88, 91, 96, 82, 89, 73, 76, 87, 86, 67, 69, 96, 84, 57, 89, 87, 89, 99, 88, + 104, 90, 85, 75, 88, 92, 85, 75, 74, 87, 103, 94, 55, 48, 56, 65, 72, 50, 45, 51, + 63, 62, 47, 57, 79, 53, 36, 63, 54, 68, 71, 59, 63, 61, 63, 41, 50, 73, 57, 59, + 56, 76, 73, 65, 61, 64, 61, 79, 53, 73, 57, 44, 61, 59, 59, 56, 81, 59, 49, 62, + 65, 55, 69, 72, 79, 70, 58, 57, 68, 61, 62, 50, 57, 60, 66, 66, 63, 77, 81, 89, + 85, 81, 76, 73, 78, 95, 59, 70, 81, 77, 46, 79, 78, 79, 83, 81, 84, 82, 85, 48, + 74, 85, 85, 74, 74, 80, 80, 74, 60, 76, 80, 97, 88, 93, 66, 66, 73, 84, 56, 70, + 90, 63, 58, 78, 73, 93, 90, 78, 94, 88, 82, 67, 85, 70, 81, 86, 74, 82, 88, 82, + 68, 73, 75, 91, 78, 97, 71, 66, 74, 85, 50, 59, 86, 77, 70, 74, 75, 74, 99, 82, + 99, 91, 86, 65, 80, 77, 72, 69, 60, 78, 90, 87, 79, 69, 74, 98, 70, 86, 81, 67, + 69, 78, 48, 65, 88, 70, 70, 70, 69, 72, 96, 90, 99, 82, 81, 76, 98, 73, 74, 71, + 69, 73, 94, 89 +}; + diff --git a/mt/ai_matmul/matmul_gendata.pl b/mt/ai_matmul/matmul_gendata.pl new file mode 100755 index 0000000..f21bb46 --- /dev/null +++ b/mt/ai_matmul/matmul_gendata.pl @@ -0,0 +1,200 @@ +#!/usr/bin/perl -w +#========================================================================== +# matmul_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the matmul benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: matmul_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[ARRAY_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3d",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + + + +#-------------------------------------------------------------------------- +# Matmul +#-------------------------------------------------------------------------- + +# http://answers.oreilly.com/topic/418-how-to-multiply-matrices-in-perl/ + +sub mmult { + my ($m1,$m2) = @_; + my ($m1rows,$m1cols) = matdim($m1); + my ($m2rows,$m2cols) = matdim($m2); + + my $result = [ ]; + my ($i, $j, $k); + + for $i (range($m1rows)) { + for $j (range($m2cols)) { + for $k (range($m1cols)) { + $result->[$i][$j] += $m1->[$i][$k] * $m2->[$k][$j]; + } + } + } + return $result; +} + +sub range { 0 .. ($_[0] - 1) } + + +sub veclen { + my $ary_ref = $_[0]; + my $type = ref $ary_ref; + if ($type ne "ARRAY") { die "$type is bad array ref for $ary_ref" } + return scalar(@$ary_ref); +} + +sub matdim { + my $matrix = $_[0]; + my $rows = veclen($matrix); + my $cols = veclen($matrix->[0]); + return ($rows, $cols); +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + # create random input arrays + my $mat_values1; + my $mat_values2; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + $mat_values1->[$i][$j] = int(rand(4)); + $mat_values2->[$i][$j] = int(rand(4)); + } + } + + # perform matmul + my $mat_results = mmult( $mat_values1, $mat_values2 ); + + # translate 2d arrays to 1d-somethings (I don't know how to code in perl - Chris) + my @values1; + my @values2; + my @results; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + my $value1 = $mat_values1->[$i][$j]; + my $value2 = $mat_values2->[$i][$j]; + my $result = $mat_results->[$i][$j]; + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @results, $result ); + } + } + + print "\n\#define ARRAY_SIZE ".($opts{"size"}*$opts{"size"})." \n\n"; + print "\n\#define DIM_SIZE ".$opts{"size"}." \n\n"; + + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@results); + +} + +main(); + diff --git a/mt/ai_matmul/matmul_mi.c b/mt/ai_matmul/matmul_mi.c new file mode 100755 index 0000000..bacfbfc --- /dev/null +++ b/mt/ai_matmul/matmul_mi.c @@ -0,0 +1,221 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + +//----------MSI-------------- +/* + int i,j,k; + barrier(); + for(j = coreid*lda/ncores; j < coreid*lda/ncores + lda/ncores; j++) { + for(i = 0; i < lda; i+=4) { + data_t Cval0 = 0; + data_t Cval1 = 0; + data_t Cval2 = 0; + data_t Cval3 = 0; + for(k = 0; k < lda; k++) { + Cval0 += A[j*lda+k]*B[k*lda+i]; + Cval1 += A[j*lda+k]*B[k*lda+i+1]; + Cval2 += A[j*lda+k]*B[k*lda+i+2]; + Cval3 += A[j*lda+k]*B[k*lda+i+3]; + } + C[j*lda+i] = Cval0; + C[j*lda+i+1] = Cval1; + C[j*lda+i+2] = Cval2; + C[j*lda+i+3] = Cval3; + } + } +*/ + +//------------------MI------------------- + + int i,j,k; + barrier(); + for(j = coreid*lda/ncores; j < coreid*lda/ncores + lda/ncores; j++) { + for(i = 0; i < lda; i+=4) { + data_t Cval0 = 0; + data_t Cval1 = 0; + data_t Cval2 = 0; + data_t Cval3 = 0; + if(coreid == 0) { + for(k = 0; k < lda; k++) { + Cval0 += A[j*lda+k]*B[k*lda+i]; + Cval1 += A[j*lda+k]*B[k*lda+i+1]; + Cval2 += A[j*lda+k]*B[k*lda+i+2]; + Cval3 += A[j*lda+k]*B[k*lda+i+3]; + } + } else { + for(k = lda-1; k >= 0; k--) { + Cval0 += A[j*lda+k]*B[k*lda+i]; + Cval1 += A[j*lda+k]*B[k*lda+i+1]; + Cval2 += A[j*lda+k]*B[k*lda+i+2]; + Cval3 += A[j*lda+k]*B[k*lda+i+3]; + } + } + C[j*lda+i] = Cval0; + C[j*lda+i+1] = Cval1; + C[j*lda+i+2] = Cval2; + C[j*lda+i+3] = Cval3; + } + } +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + +// // Execute the provided, naive matmul +// barrier(); +// stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); +// +// +// // verify +// verify(ARRAY_SIZE, results_data, verify_data); +// +// // clear results from the first trial +// size_t i; +// if (coreid == 0) +// for (i=0; i < ARRAY_SIZE; i++) +// results_data[i] = 0; +// barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/ai_vvadd/ai_vvadd.c b/mt/ai_vvadd/ai_vvadd.c new file mode 100755 index 0000000..0319126 --- /dev/null +++ b/mt/ai_vvadd/ai_vvadd.c @@ -0,0 +1,170 @@ +//************************************************************************** +// Vector-vector add benchmark +//-------------------------------------------------------------------------- +// Author : Andrew Waterman +// TA : Christopher Celio +// Student : +// +// This benchmark adds two vectors and writes the results to a +// third vector. The input data (and reference data) should be +// generated using the vvadd_gendata.pl perl script and dumped +// to a file named dataset.h + +// to print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DATA_SIZE, 10*_c/DATA_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %4ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %4ld, correct[%d]= %4ld\n", + i, (long) test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// vvadd function + +//perform in-place vvadd +void __attribute__((noinline)) vvadd(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + size_t i; + + // interleave accesses + for (i = coreid; i < n; i+=ncores) + { + x[i] = x[i] + y[i]; + } +} + +void __attribute__((noinline)) vvadd_opt(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + size_t i; + + for (i = coreid*n/ncores; i < coreid*n/ncores + n/ncores; i++) { + x[i] = x[i] + y[i]; + } +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[DATA_SIZE]; + + // because we're going to perform an in-place vvadd (and we're going to run + // it a couple of times) let's copy the input data to a temporary results + // array + + size_t i; + if (coreid == 0) + { + for (i = 0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + + + // Execute the provided, terrible vvadd + barrier(); + stats(vvadd(DATA_SIZE, results_data, input2_data); barrier()); + + + // verify + verify(DATA_SIZE, results_data, verify_data); + + // reset results from the first trial + if (coreid == 0) + { + for (i=0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + barrier(); + + + // Execute your faster vvadd + barrier(); + stats(vvadd_opt(DATA_SIZE, results_data, input2_data); barrier()); + +#ifdef DEBUG + printArray("results: ", DATA_SIZE, results_data); + printArray("verify : ", DATA_SIZE, verify_data); +#endif + + // verify + verify(DATA_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/ai_vvadd/dataset.h b/mt/ai_vvadd/dataset.h new file mode 100755 index 0000000..ce9f936 --- /dev/null +++ b/mt/ai_vvadd/dataset.h @@ -0,0 +1,165 @@ + +#define DATA_SIZE 1000 + +static data_t input1_data[DATA_SIZE] = +{ + 0.00, 15.00, 10.00, 3.00, 14.00, 6.00, 2.00, 18.00, 11.00, 15.00, 11.00, 0.00, 17.00, 16.00, 7.00, 13.00, 18.00, 2.00, 2.00, 5.00, + 8.00, 5.00, 12.00, 14.00, 6.00, 12.00, 16.00, 7.00, 9.00, 17.00, 10.00, 10.00, 3.00, 5.00, 14.00, 11.00, 9.00, 12.00, 3.00, 1.00, + 5.00, 4.00, 6.00, 17.00, 17.00, 4.00, 17.00, 15.00, 17.00, 18.00, 3.00, 18.00, 10.00, 6.00, 12.00, 12.00, 3.00, 2.00, 16.00, 1.00, + 5.00, 6.00, 2.00, 17.00, 16.00, 5.00, 10.00, 18.00, 14.00, 4.00, 9.00, 9.00, 7.00, 4.00, 8.00, 13.00, 12.00, 6.00, 4.00, 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31.00, + 21.00, 31.00, 12.00, 34.00, 28.00, 15.00, 2.00, 19.00, 14.00, 3.00, 9.00, 13.00, 22.00, 19.00, 6.00, 10.00, 19.00, 6.00, 29.00, 12.00, + 27.00, 27.00, 21.00, 20.00, 27.00, 12.00, 3.00, 10.00, 12.00, 12.00, 32.00, 19.00, 26.00, 7.00, 7.00, 10.00, 32.00, 11.00, 13.00, 23.00, + 19.00, 24.00, 25.00, 16.00, 22.00, 22.00, 5.00, 12.00, 21.00, 17.00, 23.00, 18.00, 22.00, 1.00, 12.00, 18.00, 8.00, 21.00, 6.00, 20.00, + 28.00, 8.00, 27.00, 10.00, 25.00, 13.00, 21.00, 25.00, 13.00, 32.00, 33.00, 16.00, 11.00, 4.00, 28.00, 20.00, 11.00, 23.00, 19.00, 28.00, + 22.00, 14.00, 21.00, 11.00, 14.00, 22.00, 1.00, 11.00, 7.00, 11.00, 20.00, 30.00, 13.00, 23.00, 23.00, 16.00, 9.00, 20.00, 29.00, 20.00, + 21.00, 27.00, 13.00, 26.00, 8.00, 17.00, 19.00, 9.00, 10.00, 6.00, 6.00, 18.00, 13.00, 17.00, 28.00, 17.00, 21.00, 22.00, 5.00, 15.00, + 17.00, 14.00, 9.00, 14.00, 18.00, 17.00, 8.00, 17.00, 23.00, 20.00, 2.00, 0.00, 27.00, 16.00, 15.00, 21.00, 20.00, 25.00, 17.00, 12.00, + 22.00, 24.00, 21.00, 8.00, 14.00, 28.00, 29.00, 19.00, 8.00, 24.00, 4.00, 11.00, 13.00, 2.00, 23.00, 29.00, 13.00, 34.00, 27.00, 22.00, + 17.00, 3.00, 21.00, 15.00, 13.00, 25.00, 18.00, 20.00, 12.00, 10.00, 27.00, 28.00, 22.00, 22.00, 14.00, 6.00, 25.00, 29.00, 15.00, 12.00, + 28.00, 11.00, 15.00, 5.00, 4.00, 20.00, 10.00, 4.00, 22.00, 3.00, 27.00, 31.00, 29.00, 20.00, 7.00, 3.00, 7.00, 28.00, 17.00, 14.00, + 17.00, 10.00, 8.00, 7.00, 12.00, 21.00, 34.00, 20.00, 9.00, 22.00, 19.00, 21.00, 25.00, 24.00, 18.00, 14.00, 23.00, 23.00, 9.00, 15.00, + 19.00, 7.00, 20.00, 32.00, 20.00, 27.00, 27.00, 30.00, 27.00, 32.00, 8.00, 19.00, 21.00, 28.00, 16.00, 25.00, 13.00, 22.00, 24.00, 13.00, + 21.00, 16.00, 10.00, 23.00, 21.00, 11.00, 25.00, 19.00, 21.00, 14.00, 14.00, 26.00, 30.00, 12.00, 5.00, 26.00, 22.00, 11.00, 7.00, 16.00, + 12.00, 22.00, 14.00, 23.00, 21.00, 28.00, 31.00, 20.00, 1.00, 23.00, 30.00, 32.00, 16.00, 14.00, 9.00, 23.00, 21.00, 31.00, 3.00, 23.00, + 17.00, 7.00, 22.00, 6.00, 30.00, 4.00, 7.00, 22.00, 17.00, 17.00, 19.00, 18.00, 31.00, 11.00, 18.00, 11.00, 22.00, 12.00, 29.00, 15.00, + 35.00, 11.00, 12.00, 17.00, 18.00, 29.00, 17.00, 33.00, 33.00, 15.00, 27.00, 20.00, 29.00, 14.00, 23.00, 15.00, 21.00, 18.00, 20.00, 17.00, + 24.00, 5.00, 29.00, 13.00, 19.00, 18.00, 19.00, 13.00, 5.00, 16.00, 22.00, 14.00, 25.00, 21.00, 7.00, 17.00, 19.00, 15.00, 5.00, 16.00, + 33.00, 28.00, 10.00, 24.00, 24.00, 13.00, 11.00, 17.00, 12.00, 28.00, 21.00, 5.00, 19.00, 25.00, 13.00, 5.00, 10.00, 25.00, 21.00, 17.00, + 13.00, 20.00, 9.00, 16.00, 24.00, 18.00, 16.00, 22.00, 19.00, 10.00, 0.00, 14.00, 21.00, 24.00, 23.00, 10.00, 33.00, 23.00, 21.00, 17.00, + 17.00, 19.00, 26.00, 22.00, 12.00, 27.00, 31.00, 23.00, 6.00, 32.00, 12.00, 10.00, 9.00, 19.00, 18.00, 18.00, 20.00, 24.00, 17.00, 7.00, + 21.00, 27.00, 14.00, 20.00, 5.00, 19.00, 11.00, 18.00, 25.00, 1.00, 12.00, 21.00, 13.00, 26.00, 20.00, 3.00, 17.00, 28.00, 18.00, 16.00, + 13.00, 11.00, 11.00, 24.00, 2.00, 27.00, 18.00, 19.00, 18.00, 16.00, 25.00, 15.00, 9.00, 19.00, 26.00, 24.00, 19.00, 13.00, 16.00, 12.00, + 25.00, 12.00, 12.00, 24.00, 20.00, 9.00, 22.00, 6.00, 13.00, 11.00, 11.00, 20.00, 11.00, 22.00, 3.00, 17.00, 25.00, 14.00, 25.00, 16.00, + 3.00, 16.00, 23.00, 24.00, 24.00, 29.00, 24.00, 6.00, 12.00, 14.00, 23.00, 29.00, 23.00, 26.00, 14.00, 35.00, 17.00, 20.00, 12.00, 25.00, + 2.00, 29.00, 16.00, 3.00, 17.00, 32.00, 30.00, 5.00, 31.00, 25.00, 24.00, 29.00, 22.00, 26.00, 7.00, 14.00, 6.00, 11.00, 32.00, 1.00, + 18.00, 12.00, 20.00, 16.00, 15.00, 20.00, 19.00, 30.00, 23.00, 11.00, 12.00, 24.00, 13.00, 27.00, 2.00, 3.00, 36.00, 9.00, 13.00, 14.00, + 16.00, 23.00, 23.00, 24.00, 13.00, 22.00, 18.00, 26.00, 24.00, 22.00, 28.00, 23.00, 25.00, 28.00, 7.00, 14.00, 31.00, 15.00, 23.00, 25.00, + 15.00, 20.00, 15.00, 19.00, 8.00, 27.00, 25.00, 19.00, 21.00, 28.00, 11.00, 14.00, 25.00, 24.00, 11.00, 29.00, 19.00, 25.00, 16.00, 33.00, + 18.00, 9.00, 3.00, 13.00, 13.00, 13.00, 21.00, 20.00, 23.00, 7.00, 11.00, 18.00, 25.00, 26.00, 30.00, 12.00, 21.00, 21.00, 27.00, 14.00, + 21.00, 31.00, 3.00, 21.00, 14.00, 20.00, 30.00, 20.00, 21.00, 32.00, 27.00, 24.00, 16.00, 31.00, 5.00, 20.00, 14.00, 17.00, 15.00, 16.00, + 19.00, 13.00, 4.00, 21.00, 20.00, 29.00, 10.00, 22.00, 19.00, 24.00, 29.00, 14.00, 10.00, 15.00, 18.00, 7.00, 28.00, 17.00, 7.00, 2.00, + 1.00, 19.00, 17.00, 23.00, 31.00, 13.00, 20.00, 36.00, 17.00, 27.00, 28.00, 18.00, 20.00, 29.00, 17.00, 23.00, 24.00, 23.00, 26.00, 17.00, + 9.00, 26.00, 16.00, 18.00, 10.00, 28.00, 32.00, 20.00, 19.00, 14.00, 22.00, 23.00, 13.00, 22.00, 14.00, 7.00, 20.00, 10.00, 25.00, 9.00, + 7.00, 2.00, 31.00, 16.00, 16.00, 22.00, 5.00, 15.00, 26.00, 23.00, 10.00, 18.00, 32.00, 24.00, 15.00, 30.00, 16.00, 13.00, 15.00, 7.00, + 11.00, 6.00, 21.00, 14.00, 25.00, 21.00, 11.00, 16.00, 14.00, 26.00, 25.00, 15.00, 22.00, 24.00, 4.00, 19.00, 14.00, 26.00, 22.00, 17.00, + 13.00, 14.00, 7.00, 32.00, 20.00, 33.00, 13.00, 7.00, 29.00, 8.00, 26.00, 6.00, 9.00, 13.00, 22.00, 23.00, 8.00, 22.00, 22.00, 10.00, + 24.00, 2.00, 17.00, 9.00, 22.00, 30.00, 24.00, 33.00, 25.00, 17.00, 23.00, 9.00, 13.00, 15.00, 23.00, 10.00, 1.00, 22.00, 17.00, 10.00, + 32.00, 24.00, 26.00, 4.00, 15.00, 0.00, 27.00, 23.00, 28.00, 23.00, 30.00, 7.00, 16.00, 33.00, 20.00, 14.00, 23.00, 14.00, 20.00, 14.00, + 7.00, 25.00, 24.00, 12.00, 29.00, 16.00, 17.00, 20.00, 29.00, 16.00, 13.00, 18.00, 26.00, 18.00, 18.00, 17.00, 13.00, 29.00, 14.00, 17.00, + 24.00, 16.00, 21.00, 14.00, 26.00, 9.00, 11.00, 28.00, 25.00, 15.00, 15.00, 12.00, 6.00, 14.00, 27.00, 14.00, 24.00, 18.00, 18.00, 14.00, + 32.00, 21.00, 26.00, 13.00, 6.00, 24.00, 22.00, 27.00, 17.00, 26.00, 19.00, 21.00, 19.00, 9.00, 21.00, 25.00, 17.00, 27.00, 15.00, 18.00 +}; + diff --git a/mt/ai_vvadd/vvadd_gendata.pl b/mt/ai_vvadd/vvadd_gendata.pl new file mode 100755 index 0000000..a9fceac --- /dev/null +++ b/mt/ai_vvadd/vvadd_gendata.pl @@ -0,0 +1,139 @@ +#!/usr/bin/perl -w +#========================================================================== +# vvadd_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the vvadd benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: vvadd_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[DATA_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3.2f",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + my @values1; + my @values2; + my @sum; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + my $value1 = int(rand(19)); + my $value2 = int(rand(19)); + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @sum, $value1 + $value2 ); + } + + + print "\n\#define DATA_SIZE ".$opts{"size"}." \n\n"; + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@sum ); + +} + +main(); + diff --git a/mt/aj_matmul/aj_matmul.c b/mt/aj_matmul/aj_matmul.c new file mode 100755 index 0000000..2280771 --- /dev/null +++ b/mt/aj_matmul/aj_matmul.c @@ -0,0 +1,380 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +void matrix_sub(int size, data_t A[], data_t B[], data_t C[]) { + if (coreid != 0) + return; + + for(int i = 0; i < size; i++){ + C[i] = A[i] + B[i]; + } +} + +void matrix_add(int size, data_t A[], data_t B[], data_t C[]) { + if (coreid != 0) + return; + + for(int i = 0; i < size; i++){ + C[i] = A[i] - B[i]; + } +} + +void strassen_mult(int dime, const data_t sA[], const data_t sB[], data_t sC[]) { + + if (coreid != 0) + return; + + int height, width; + int sub_size = dime*dime/4; + +// data_t A_11[sub_size], B_11[sub_size], C_11[sub_size], +// A_12[sub_size], B_12[sub_size], C_12[sub_size], +// A_21[sub_size], B_21[sub_size], C_21[sub_size], +// A_22[sub_size], B_22[sub_size], C_22[sub_size]; + + data_t *A_11 = malloc(sub_size*sizeof(data_t)); + data_t *A_12 = malloc(sub_size*sizeof(data_t)); + data_t *A_21 = malloc(sub_size*sizeof(data_t)); + data_t *A_22 = malloc(sub_size*sizeof(data_t)); + data_t *B_11 = malloc(sub_size*sizeof(data_t)); + data_t *B_12 = malloc(sub_size*sizeof(data_t)); + data_t *B_21 = malloc(sub_size*sizeof(data_t)); + data_t *B_22 = malloc(sub_size*sizeof(data_t)); + + for(height=0; height < dime/2; height++) { + for(width= 0; width < dime/2; width++) { + A_11[width+(height*dime/2)] = sA[width + height*dime]; + B_11[width+(height*dime/2)] = sB[width + height*dime]; + + A_12[width+(height*dime/2)] = sA[dime/2 + width + height*dime]; + B_12[width+(height*dime/2)] = sB[dime/2 + width + height*dime]; + + A_21[width+(height*dime/2)] = sA[(dime*dime)/2 + width + height*dime]; + B_21[width+(height*dime/2)] = sB[(dime*dime)/2 + width + height*dime]; + + A_22[width+(height*dime/2)] = sA[(dime*dime)/2 + dime/2 + width + height*dime]; + B_22[width+(height*dime/2)] = sB[(dime*dime)/2 + dime/2 + width + height*dime]; + } + } + +// data_t H_1[sub_size], H_2[sub_size], H_3[sub_size], H_4[sub_size], H_5[sub_size], +// H_6[sub_size], H_7[sub_size], H_8[sub_size], H_9[sub_size], H_10[sub_size], +// H_11[sub_size], H_12[sub_size], H_13[sub_size], H_14[sub_size], +// H_15[sub_size], H_16[sub_size], H_17[sub_size], H_18[sub_size]; + + data_t *H_1 = malloc(sub_size*sizeof(data_t)); + data_t *H_2 = malloc(sub_size*sizeof(data_t)); + data_t *H_3 = malloc(sub_size*sizeof(data_t)); + data_t *H_4 = malloc(sub_size*sizeof(data_t)); + data_t *H_5 = malloc(sub_size*sizeof(data_t)); + data_t *H_6 = malloc(sub_size*sizeof(data_t)); + data_t *H_7 = malloc(sub_size*sizeof(data_t)); + data_t *H_8 = malloc(sub_size*sizeof(data_t)); + data_t *H_9 = malloc(sub_size*sizeof(data_t)); + data_t *H_10 = malloc(sub_size*sizeof(data_t)); + + matrix_add(sub_size, A_11, A_22, H_1); //Helper1 + matrix_add(sub_size, B_11, B_22, H_2); //Helper2 + matrix_add(sub_size, A_21, A_22, H_3); //Helper3 + matrix_sub(sub_size, B_12, B_22, H_4); //Helper4 + matrix_sub(sub_size, B_21, B_11, H_5); //Helper5 + matrix_add(sub_size, A_11, A_12, H_6); //Helper6 + matrix_sub(sub_size, A_21, A_11, H_7); //Helper7 + matrix_add(sub_size, B_11, B_12, H_8); //Helper8 + matrix_sub(sub_size, A_12, A_22, H_9); //Helper9 + matrix_add(sub_size, B_21, B_22, H_10); //Helper10 + + free(A_12); + free(A_21); + free(B_12); + free(B_21); + + A_12 = NULL; + A_21 = NULL; + B_12 = NULL; + B_21 = NULL; + +// data_t M_1[sub_size], M_2[sub_size], M_3[sub_size], M_4[sub_size], +// M_5[sub_size], M_6[sub_size], M_7[sub_size]; + + data_t *M_1 = malloc(sub_size*sizeof(data_t)); + data_t *M_2 = malloc(sub_size*sizeof(data_t)); + data_t *M_3 = malloc(sub_size*sizeof(data_t)); + data_t *M_4 = malloc(sub_size*sizeof(data_t)); + data_t *M_5 = malloc(sub_size*sizeof(data_t)); + data_t *M_6 = malloc(sub_size*sizeof(data_t)); + data_t *M_7 = malloc(sub_size*sizeof(data_t)); + + if (sub_size == 1) { + M_1[0] = H_1[0]*H_2[0]; + M_2[0] = H_3[0]*B_11[0]; + M_3[0] = A_11[0]*H_4[0]; + M_4[0] = A_22[0]*H_5[0]; + M_5[0] = H_6[0]*B_22[0]; + M_6[0] = H_7[0]*H_8[0]; + M_7[0] = H_9[0]*H_10[0]; + } else { + strassen_mult(dime/2, H_1, H_2, M_1); + strassen_mult(dime/2, H_3, B_11, M_2); + strassen_mult(dime/2, A_11, H_4, M_3); + strassen_mult(dime/2, A_22, H_5, M_4); + strassen_mult(dime/2, H_6, B_22, M_5); + strassen_mult(dime/2, H_7, H_8, M_6); + strassen_mult(dime/2, H_9, H_10, M_7); + } + + free(A_11); + free(A_22); + free(B_11); + free(B_22); + + A_11 = NULL; + A_22 = NULL; + B_11 = NULL; + B_22 = NULL; + + free(H_1); + free(H_2); + free(H_3); + free(H_4); + free(H_5); + free(H_6); + free(H_7); + free(H_8); + free(H_9); + free(H_10); + + H_1 = NULL; + H_2 = NULL; + H_3 = NULL; + H_4 = NULL; + H_5 = NULL; + H_6 = NULL; + H_7 = NULL; + H_8 = NULL; + H_9 = NULL; + H_10 = NULL; + + data_t *H_11 = malloc(sub_size*sizeof(data_t)); + data_t *H_12 = malloc(sub_size*sizeof(data_t)); + data_t *H_13 = malloc(sub_size*sizeof(data_t)); + data_t *H_14 = malloc(sub_size*sizeof(data_t)); + + data_t *C_11 = malloc(sub_size*sizeof(data_t)); + data_t *C_12 = malloc(sub_size*sizeof(data_t)); + data_t *C_21 = malloc(sub_size*sizeof(data_t)); + data_t *C_22 = malloc(sub_size*sizeof(data_t)); + + matrix_add(sub_size, M_1, M_4, H_11); + matrix_add(sub_size, M_5, M_7, H_12); + matrix_sub(sub_size, H_11, H_12, C_11); + + matrix_add(sub_size, M_3, M_5, C_12); + + matrix_add(sub_size, M_2, M_4, C_21); + + matrix_sub(sub_size, M_1, M_2, H_13); + matrix_add(sub_size, M_3, M_6, H_14); + matrix_add(sub_size, H_13, H_14, C_22); + + free(H_11); + free(H_12); + free(H_13); + free(H_14); + + H_11 = NULL; + H_12 = NULL; + H_13 = NULL; + H_14 = NULL; + + + for(height=0; height < dime/2; height++) { + for(width= 0; width < dime/2; width++) { + sC[width + height*dime] = C_11[width+(height*dime/2)]; + sC[dime/2 + width + height*dime] = C_12[width+(height*dime/2)]; + sC[(dime*dime)/2 + width + height*dime] = C_21[width+(height*dime/2)]; + sC[(dime*dime)/2 + dime/2 + width + height*dime] = C_22[width+(height*dime/2)]; + } + } + + free(C_11); + free(C_12); + free(C_21); + free(C_22); + + C_11 = NULL; + C_12 = NULL; + C_21 = NULL; + C_22 = NULL; + +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + + if (coreid > 0) + return; + + strassen_mult(lda, A, B, C); + +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + +// // Execute the provided, naive matmul +// barrier(); +// stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); +// +// +// // verify +// verify(ARRAY_SIZE, results_data, verify_data); +// +// // clear results from the first trial +// size_t i; +// if (coreid == 0) +// for (i=0; i < ARRAY_SIZE; i++) +// results_data[i] = 0; +// barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/aj_matmul/dataset.h b/mt/aj_matmul/dataset.h new file mode 100755 index 0000000..dde3ee4 --- /dev/null +++ b/mt/aj_matmul/dataset.h @@ -0,0 +1,174 @@ + +#define ARRAY_SIZE 1024 + + +#define DIM_SIZE 32 + +static data_t input1_data[ARRAY_SIZE] = +{ + 0, 3, 2, 0, 3, 1, 0, 3, 2, 3, 2, 0, 3, 3, 1, 2, 3, 0, 0, 1, + 1, 1, 2, 3, 1, 2, 3, 1, 1, 3, 2, 2, 0, 1, 3, 2, 2, 2, 0, 0, + 1, 0, 1, 3, 3, 0, 3, 3, 3, 3, 0, 3, 2, 1, 2, 2, 0, 0, 3, 0, + 1, 1, 0, 3, 3, 1, 2, 3, 3, 0, 1, 2, 1, 0, 1, 2, 2, 1, 0, 3, + 1, 0, 2, 2, 1, 1, 1, 1, 1, 1, 2, 0, 3, 1, 1, 2, 2, 3, 3, 1, + 3, 2, 0, 0, 0, 3, 3, 3, 2, 1, 2, 3, 1, 0, 0, 0, 0, 1, 2, 2, + 1, 1, 3, 3, 3, 1, 1, 2, 3, 1, 3, 3, 2, 3, 2, 1, 2, 3, 0, 2, + 2, 1, 1, 0, 0, 0, 0, 0, 1, 3, 3, 1, 1, 1, 2, 2, 3, 2, 1, 1, + 1, 1, 3, 0, 2, 2, 1, 3, 2, 1, 2, 2, 1, 3, 1, 3, 1, 3, 2, 3, + 1, 2, 1, 3, 2, 2, 0, 1, 0, 0, 1, 2, 3, 3, 1, 0, 0, 0, 3, 1, + 2, 3, 2, 3, 2, 0, 0, 0, 0, 0, 3, 1, 3, 0, 0, 0, 3, 1, 1, 1, + 1, 2, 1, 2, 3, 2, 0, 0, 2, 2, 3, 0, 3, 0, 0, 3, 0, 3, 1, 3, + 3, 1, 1, 1, 2, 2, 1, 3, 0, 3, 3, 1, 0, 0, 3, 2, 1, 3, 3, 3, + 1, 0, 1, 1, 2, 1, 0, 1, 1, 2, 2, 3, 1, 2, 2, 2, 0, 1, 3, 3, + 3, 2, 2, 1, 0, 1, 2, 0, 1, 1, 1, 1, 2, 3, 2, 2, 3, 3, 0, 0, + 2, 0, 0, 0, 3, 0, 1, 0, 3, 0, 0, 0, 3, 0, 0, 2, 0, 2, 0, 0, + 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 0, 2, 0, 0, 3, 3, 2, 3, 3, 0, + 1, 0, 2, 2, 0, 3, 3, 1, 1, 0, 2, 3, 2, 1, 1, 0, 1, 2, 1, 2, + 2, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 3, 3, 2, 0, 0, 1, 3, 0, 3, + 3, 0, 0, 0, 0, 3, 3, 1, 0, 0, 3, 3, 2, 1, 2, 1, 3, 3, 0, 1, + 3, 0, 2, 3, 1, 3, 3, 3, 3, 3, 0, 1, 1, 3, 0, 2, 2, 3, 1, 2, + 2, 2, 1, 3, 3, 0, 3, 0, 0, 2, 0, 2, 3, 0, 1, 3, 2, 2, 0, 0, + 2, 3, 0, 2, 2, 2, 3, 1, 0, 3, 3, 3, 3, 1, 0, 3, 3, 2, 0, 3, + 2, 0, 3, 0, 2, 0, 0, 2, 2, 1, 0, 2, 3, 1, 1, 1, 1, 2, 3, 3, + 3, 0, 0, 3, 3, 3, 2, 3, 3, 1, 2, 2, 3, 1, 2, 1, 1, 3, 0, 1, + 2, 0, 2, 0, 0, 1, 3, 2, 0, 1, 3, 2, 3, 3, 0, 0, 0, 1, 0, 3, + 3, 2, 2, 2, 1, 1, 2, 2, 1, 3, 2, 0, 1, 3, 2, 0, 2, 1, 3, 0, + 0, 0, 1, 3, 3, 2, 2, 2, 3, 1, 0, 0, 1, 1, 2, 1, 3, 1, 1, 2, + 2, 3, 2, 3, 0, 2, 3, 3, 0, 3, 0, 0, 1, 0, 0, 0, 1, 3, 1, 1, + 2, 3, 2, 1, 1, 2, 2, 2, 3, 0, 1, 1, 2, 1, 2, 0, 2, 3, 1, 3, + 0, 1, 1, 3, 0, 2, 3, 0, 1, 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 2, + 3, 0, 1, 1, 1, 1, 2, 0, 1, 2, 0, 1, 1, 1, 0, 1, 3, 2, 3, 1, + 0, 2, 1, 2, 1, 3, 3, 1, 0, 2, 2, 3, 1, 3, 1, 3, 0, 1, 0, 3, + 0, 3, 2, 0, 3, 3, 3, 0, 3, 2, 2, 2, 1, 3, 0, 0, 1, 1, 3, 0, + 1, 2, 1, 0, 0, 0, 3, 2, 2, 0, 0, 2, 1, 3, 0, 0, 3, 0, 0, 2, + 1, 1, 2, 2, 1, 3, 2, 2, 1, 1, 2, 1, 3, 2, 1, 1, 3, 0, 1, 3, + 3, 2, 2, 1, 0, 3, 2, 2, 2, 3, 0, 1, 3, 3, 2, 3, 0, 3, 2, 3, + 1, 1, 0, 0, 0, 2, 3, 0, 3, 0, 1, 1, 3, 1, 3, 2, 1, 1, 2, 1, + 3, 2, 0, 2, 1, 0, 2, 3, 2, 3, 2, 1, 2, 3, 0, 0, 1, 1, 0, 0, + 2, 1, 0, 1, 2, 2, 2, 2, 0, 3, 3, 1, 0, 0, 0, 0, 3, 1, 1, 0, + 0, 0, 0, 1, 2, 2, 1, 3, 0, 2, 3, 2, 3, 2, 2, 1, 2, 2, 3, 3, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 2, 2, 3, 1, 1, 1, 0, 0, 0, 3, 0, + 1, 0, 3, 1, 1, 3, 0, 1, 2, 2, 0, 0, 3, 3, 3, 3, 2, 1, 0, 0, + 1, 0, 2, 0, 1, 1, 0, 0, 3, 3, 2, 1, 1, 1, 0, 1, 1, 2, 2, 1, + 1, 2, 0, 3, 1, 3, 1, 0, 3, 0, 3, 1, 1, 1, 0, 2, 0, 3, 1, 0, + 1, 0, 2, 0, 2, 3, 3, 3, 1, 2, 3, 2, 2, 0, 1, 1, 0, 3, 3, 1, + 3, 3, 2, 0, 2, 0, 2, 2, 3, 3, 3, 0, 2, 3, 3, 1, 3, 2, 2, 2, + 0, 2, 3, 0, 2, 0, 3, 2, 2, 1, 1, 0, 2, 2, 2, 0, 2, 2, 0, 1, + 3, 2, 1, 3, 2, 2, 0, 3, 3, 1, 2, 2, 0, 0, 3, 2, 1, 2, 2, 1, + 3, 1, 2, 0, 0, 1, 1, 2, 1, 3, 2, 2, 3, 0, 2, 1, 3, 2, 1, 3, + 2, 3, 3, 1, 2, 1, 2, 2, 0, 0, 0, 3, 0, 2, 3, 1, 0, 0, 2, 3, + 3, 2, 2, 1 +}; + +static data_t input2_data[ARRAY_SIZE] = +{ + 1, 1, 0, 3, 1, 2, 0, 0, 0, 0, 0, 2, 1, 2, 3, 0, 0, 3, 3, 2, + 2, 1, 2, 3, 3, 0, 2, 2, 1, 1, 2, 2, 0, 2, 2, 1, 2, 3, 2, 2, + 3, 3, 2, 2, 1, 1, 1, 1, 2, 1, 2, 2, 3, 3, 3, 0, 0, 3, 2, 3, + 2, 3, 1, 2, 1, 1, 2, 2, 0, 1, 0, 3, 2, 1, 1, 1, 2, 0, 1, 2, + 2, 0, 2, 1, 3, 3, 2, 3, 2, 0, 3, 1, 3, 3, 2, 0, 1, 0, 1, 1, + 2, 2, 1, 1, 2, 2, 1, 2, 3, 3, 1, 3, 2, 2, 2, 3, 3, 1, 0, 2, + 1, 0, 0, 0, 1, 1, 2, 0, 3, 2, 3, 3, 0, 2, 3, 1, 0, 0, 2, 1, + 2, 0, 2, 1, 1, 2, 3, 1, 3, 2, 1, 0, 0, 0, 0, 0, 2, 2, 0, 2, + 1, 2, 0, 3, 2, 2, 0, 0, 3, 2, 1, 1, 3, 0, 2, 0, 0, 1, 0, 2, + 3, 3, 1, 3, 3, 0, 0, 2, 2, 0, 0, 0, 1, 0, 0, 1, 3, 0, 2, 1, + 3, 2, 2, 1, 3, 2, 0, 1, 2, 2, 3, 2, 1, 1, 1, 1, 3, 0, 1, 3, + 2, 2, 3, 1, 1, 2, 0, 2, 1, 1, 2, 3, 1, 0, 1, 0, 1, 1, 0, 0, + 2, 0, 3, 0, 3, 0, 3, 2, 2, 3, 3, 2, 1, 0, 2, 2, 1, 1, 0, 3, + 3, 2, 2, 0, 0, 3, 0, 1, 0, 0, 1, 2, 0, 1, 3, 0, 1, 2, 2, 0, + 0, 3, 0, 3, 0, 1, 1, 2, 0, 0, 0, 3, 0, 0, 2, 1, 1, 1, 0, 2, + 1, 3, 1, 2, 0, 3, 0, 3, 1, 3, 0, 0, 2, 2, 2, 2, 3, 3, 2, 1, + 2, 2, 1, 1, 2, 2, 2, 2, 0, 3, 0, 0, 2, 0, 1, 2, 0, 3, 2, 3, + 2, 0, 2, 1, 2, 1, 0, 2, 1, 1, 3, 2, 2, 3, 1, 0, 3, 3, 1, 0, + 3, 2, 2, 0, 0, 3, 0, 0, 2, 0, 3, 2, 3, 1, 1, 0, 0, 2, 3, 0, + 0, 1, 1, 1, 2, 1, 3, 2, 1, 3, 0, 1, 3, 3, 1, 1, 1, 1, 1, 1, + 0, 0, 2, 3, 2, 2, 2, 3, 2, 3, 1, 2, 3, 2, 2, 2, 0, 1, 3, 0, + 1, 1, 0, 1, 0, 1, 1, 3, 3, 1, 2, 2, 3, 2, 0, 2, 2, 0, 1, 3, + 0, 1, 3, 2, 1, 3, 3, 2, 0, 1, 3, 2, 0, 2, 1, 1, 0, 3, 0, 1, + 1, 1, 1, 1, 3, 0, 0, 1, 0, 2, 3, 1, 3, 0, 2, 1, 3, 0, 3, 0, + 3, 2, 2, 0, 0, 2, 1, 3, 3, 2, 3, 2, 2, 1, 2, 2, 3, 0, 3, 2, + 2, 0, 3, 2, 3, 2, 0, 0, 1, 2, 0, 0, 2, 0, 0, 3, 3, 2, 0, 0, + 3, 3, 0, 2, 3, 1, 0, 1, 0, 2, 1, 0, 2, 1, 0, 1, 0, 3, 0, 2, + 2, 3, 0, 0, 2, 1, 0, 1, 0, 0, 0, 2, 2, 3, 2, 0, 3, 3, 2, 1, + 0, 0, 3, 1, 2, 3, 3, 1, 0, 3, 1, 1, 0, 3, 3, 3, 2, 2, 2, 0, + 1, 2, 0, 3, 0, 1, 0, 1, 1, 0, 1, 2, 0, 3, 2, 0, 1, 2, 2, 0, + 2, 0, 0, 1, 0, 3, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 1, 1, 1, 0, + 2, 1, 1, 3, 2, 0, 2, 1, 1, 0, 2, 2, 1, 3, 0, 2, 1, 0, 1, 2, + 0, 1, 3, 2, 3, 2, 1, 0, 2, 0, 2, 2, 3, 1, 1, 3, 2, 3, 2, 2, + 0, 2, 0, 0, 0, 3, 2, 0, 2, 2, 3, 3, 3, 2, 1, 2, 0, 0, 3, 0, + 2, 0, 3, 2, 2, 3, 0, 3, 2, 1, 2, 2, 1, 2, 0, 0, 3, 1, 2, 0, + 2, 3, 2, 2, 1, 1, 1, 3, 3, 3, 3, 3, 1, 3, 0, 1, 3, 2, 2, 1, + 0, 1, 1, 2, 1, 2, 3, 1, 2, 2, 1, 2, 1, 1, 0, 3, 3, 1, 1, 3, + 2, 0, 0, 1, 2, 0, 1, 3, 1, 0, 0, 2, 2, 3, 3, 0, 2, 3, 2, 1, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 3, 3, 3, 1, 3, 0, 3, 1, 1, 2, 2, + 2, 1, 0, 3, 2, 3, 0, 2, 3, 2, 3, 1, 2, 3, 3, 1, 2, 1, 0, 0, + 0, 3, 3, 3, 3, 0, 3, 3, 3, 3, 2, 1, 0, 3, 0, 3, 2, 3, 1, 0, + 0, 1, 3, 1, 0, 2, 2, 3, 1, 0, 2, 1, 1, 3, 1, 1, 3, 1, 2, 1, + 0, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 3, 3, 1, 0, 3, 1, 1, 2, 0, + 0, 0, 2, 3, 3, 2, 2, 3, 0, 2, 3, 1, 3, 3, 0, 2, 1, 2, 2, 2, + 1, 0, 1, 3, 2, 3, 1, 1, 2, 1, 1, 0, 0, 2, 3, 2, 1, 0, 3, 1, + 3, 0, 1, 1, 2, 2, 1, 3, 3, 1, 1, 0, 0, 3, 3, 0, 0, 0, 0, 0, + 3, 1, 3, 0, 0, 0, 3, 3, 2, 1, 3, 0, 1, 3, 1, 1, 1, 0, 1, 0, + 1, 2, 2, 2, 3, 3, 0, 2, 3, 2, 1, 3, 3, 1, 1, 3, 0, 3, 3, 2, + 1, 1, 2, 0, 3, 0, 1, 2, 1, 1, 0, 0, 1, 2, 2, 0, 3, 1, 1, 1, + 3, 3, 3, 1, 0, 3, 3, 2, 2, 2, 1, 2, 0, 1, 1, 3, 0, 3, 1, 0, + 2, 2, 0, 1, 2, 3, 2, 1, 2, 0, 3, 2, 1, 3, 0, 1, 2, 0, 3, 0, + 1, 1, 2, 1 +}; + +static data_t verify_data[ARRAY_SIZE] = +{ + 72, 75, 88, 101, 80, 88, 73, 75, 80, 81, 58, 75, 86, 65, 60, 80, 84, 83, 87, 83, + 108, 93, 85, 76, 72, 98, 79, 86, 80, 96, 91, 85, 72, 64, 70, 83, 68, 92, 51, 54, + 85, 85, 60, 58, 90, 64, 55, 69, 72, 48, 94, 77, 91, 83, 70, 69, 67, 77, 59, 50, + 67, 74, 77, 67, 67, 62, 72, 71, 68, 79, 54, 61, 67, 61, 55, 62, 78, 60, 53, 64, + 67, 69, 99, 68, 88, 60, 66, 63, 70, 62, 65, 50, 53, 66, 70, 72, 75, 78, 85, 95, + 71, 89, 70, 68, 86, 88, 58, 77, 84, 70, 65, 68, 73, 75, 91, 96, 105, 92, 76, 68, + 86, 69, 80, 59, 73, 83, 88, 75, 64, 63, 71, 99, 77, 77, 69, 55, 80, 73, 54, 73, + 87, 78, 60, 69, 65, 78, 86, 89, 95, 92, 63, 69, 89, 61, 80, 65, 70, 77, 89, 77, + 79, 79, 73, 92, 64, 81, 60, 78, 81, 80, 61, 63, 89, 65, 56, 83, 77, 65, 102, 70, + 98, 86, 96, 68, 72, 89, 73, 73, 70, 89, 84, 76, 48, 61, 63, 70, 70, 79, 50, 53, + 64, 63, 43, 51, 59, 62, 43, 63, 55, 77, 79, 74, 75, 74, 64, 44, 65, 69, 72, 66, + 54, 71, 74, 72, 69, 76, 68, 89, 94, 75, 65, 53, 85, 79, 65, 74, 82, 73, 58, 70, + 84, 77, 99, 72, 92, 84, 78, 62, 59, 83, 71, 74, 63, 85, 80, 78, 71, 72, 79, 83, + 73, 82, 60, 85, 76, 82, 60, 70, 82, 68, 54, 85, 84, 70, 86, 74, 100, 88, 98, 68, + 67, 87, 69, 73, 68, 88, 76, 71, 47, 43, 47, 80, 54, 65, 40, 37, 59, 53, 33, 48, + 62, 40, 36, 55, 36, 62, 53, 57, 70, 69, 45, 43, 53, 61, 42, 57, 56, 63, 51, 47, + 59, 75, 64, 89, 83, 75, 59, 75, 91, 92, 58, 64, 83, 74, 58, 60, 76, 66, 97, 69, + 90, 95, 92, 64, 78, 75, 77, 73, 65, 78, 82, 75, 47, 54, 59, 71, 59, 56, 53, 42, + 60, 55, 40, 51, 60, 46, 36, 59, 46, 57, 67, 43, 51, 53, 53, 38, 54, 56, 55, 48, + 41, 46, 63, 63, 80, 77, 89, 102, 89, 98, 74, 86, 98, 93, 63, 76, 98, 77, 48, 101, + 86, 88, 100, 82, 102, 90, 95, 75, 86, 103, 83, 98, 80, 104, 98, 86, 71, 74, 80, 90, + 86, 87, 73, 70, 81, 83, 55, 66, 90, 66, 58, 84, 77, 84, 93, 72, 99, 75, 85, 65, + 70, 89, 71, 82, 64, 79, 82, 80, 67, 73, 86, 101, 78, 97, 66, 64, 84, 80, 55, 64, + 79, 73, 51, 79, 89, 68, 94, 77, 109, 102, 82, 61, 66, 93, 88, 70, 82, 82, 85, 69, + 69, 72, 66, 97, 85, 90, 70, 59, 76, 89, 53, 56, 90, 79, 71, 64, 70, 67, 100, 92, + 106, 89, 83, 78, 73, 80, 70, 72, 65, 70, 92, 88, 57, 76, 55, 85, 66, 80, 61, 63, + 63, 78, 54, 58, 71, 73, 54, 63, 63, 62, 89, 76, 86, 81, 83, 54, 70, 81, 78, 64, + 56, 72, 74, 81, 75, 63, 68, 89, 65, 77, 58, 68, 75, 83, 52, 62, 82, 63, 55, 75, + 51, 70, 95, 66, 83, 77, 86, 61, 64, 77, 48, 70, 66, 82, 72, 75, 79, 71, 72, 89, + 78, 78, 66, 59, 91, 80, 55, 64, 79, 68, 54, 71, 67, 75, 87, 84, 100, 101, 76, 58, + 74, 82, 61, 74, 75, 97, 85, 79, 61, 55, 69, 68, 72, 65, 52, 64, 80, 73, 48, 54, + 71, 66, 42, 61, 66, 63, 92, 64, 85, 77, 73, 54, 74, 73, 76, 66, 62, 79, 85, 70, + 71, 84, 87, 81, 88, 86, 77, 77, 93, 88, 78, 71, 101, 89, 58, 84, 95, 81, 89, 97, + 104, 79, 83, 76, 90, 81, 91, 74, 70, 76, 91, 80, 51, 48, 56, 69, 47, 63, 54, 42, + 63, 63, 42, 52, 66, 56, 39, 59, 61, 52, 59, 63, 62, 68, 57, 35, 67, 58, 56, 52, + 61, 63, 60, 47, 85, 75, 89, 106, 88, 95, 74, 82, 107, 107, 64, 78, 98, 90, 62, 91, + 79, 87, 111, 84, 104, 106, 96, 68, 94, 99, 81, 89, 79, 105, 95, 86, 65, 63, 77, 89, + 66, 88, 56, 73, 82, 92, 41, 62, 85, 66, 50, 81, 57, 71, 77, 78, 86, 89, 77, 53, + 67, 78, 61, 63, 72, 82, 69, 66, 59, 46, 55, 70, 56, 64, 45, 50, 65, 64, 42, 56, + 78, 49, 51, 52, 38, 56, 72, 55, 73, 72, 61, 50, 63, 60, 47, 57, 55, 73, 53, 68, + 85, 88, 91, 96, 82, 89, 73, 76, 87, 86, 67, 69, 96, 84, 57, 89, 87, 89, 99, 88, + 104, 90, 85, 75, 88, 92, 85, 75, 74, 87, 103, 94, 55, 48, 56, 65, 72, 50, 45, 51, + 63, 62, 47, 57, 79, 53, 36, 63, 54, 68, 71, 59, 63, 61, 63, 41, 50, 73, 57, 59, + 56, 76, 73, 65, 61, 64, 61, 79, 53, 73, 57, 44, 61, 59, 59, 56, 81, 59, 49, 62, + 65, 55, 69, 72, 79, 70, 58, 57, 68, 61, 62, 50, 57, 60, 66, 66, 63, 77, 81, 89, + 85, 81, 76, 73, 78, 95, 59, 70, 81, 77, 46, 79, 78, 79, 83, 81, 84, 82, 85, 48, + 74, 85, 85, 74, 74, 80, 80, 74, 60, 76, 80, 97, 88, 93, 66, 66, 73, 84, 56, 70, + 90, 63, 58, 78, 73, 93, 90, 78, 94, 88, 82, 67, 85, 70, 81, 86, 74, 82, 88, 82, + 68, 73, 75, 91, 78, 97, 71, 66, 74, 85, 50, 59, 86, 77, 70, 74, 75, 74, 99, 82, + 99, 91, 86, 65, 80, 77, 72, 69, 60, 78, 90, 87, 79, 69, 74, 98, 70, 86, 81, 67, + 69, 78, 48, 65, 88, 70, 70, 70, 69, 72, 96, 90, 99, 82, 81, 76, 98, 73, 74, 71, + 69, 73, 94, 89 +}; + diff --git a/mt/aj_matmul/matmul_gendata.pl b/mt/aj_matmul/matmul_gendata.pl new file mode 100755 index 0000000..f21bb46 --- /dev/null +++ b/mt/aj_matmul/matmul_gendata.pl @@ -0,0 +1,200 @@ +#!/usr/bin/perl -w +#========================================================================== +# matmul_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the matmul benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: matmul_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[ARRAY_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3d",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + + + +#-------------------------------------------------------------------------- +# Matmul +#-------------------------------------------------------------------------- + +# http://answers.oreilly.com/topic/418-how-to-multiply-matrices-in-perl/ + +sub mmult { + my ($m1,$m2) = @_; + my ($m1rows,$m1cols) = matdim($m1); + my ($m2rows,$m2cols) = matdim($m2); + + my $result = [ ]; + my ($i, $j, $k); + + for $i (range($m1rows)) { + for $j (range($m2cols)) { + for $k (range($m1cols)) { + $result->[$i][$j] += $m1->[$i][$k] * $m2->[$k][$j]; + } + } + } + return $result; +} + +sub range { 0 .. ($_[0] - 1) } + + +sub veclen { + my $ary_ref = $_[0]; + my $type = ref $ary_ref; + if ($type ne "ARRAY") { die "$type is bad array ref for $ary_ref" } + return scalar(@$ary_ref); +} + +sub matdim { + my $matrix = $_[0]; + my $rows = veclen($matrix); + my $cols = veclen($matrix->[0]); + return ($rows, $cols); +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + # create random input arrays + my $mat_values1; + my $mat_values2; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + $mat_values1->[$i][$j] = int(rand(4)); + $mat_values2->[$i][$j] = int(rand(4)); + } + } + + # perform matmul + my $mat_results = mmult( $mat_values1, $mat_values2 ); + + # translate 2d arrays to 1d-somethings (I don't know how to code in perl - Chris) + my @values1; + my @values2; + my @results; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + my $value1 = $mat_values1->[$i][$j]; + my $value2 = $mat_values2->[$i][$j]; + my $result = $mat_results->[$i][$j]; + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @results, $result ); + } + } + + print "\n\#define ARRAY_SIZE ".($opts{"size"}*$opts{"size"})." \n\n"; + print "\n\#define DIM_SIZE ".$opts{"size"}." \n\n"; + + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@results); + +} + +main(); + diff --git a/mt/aj_matmul/matmul_mi.c b/mt/aj_matmul/matmul_mi.c new file mode 100644 index 0000000..2280771 --- /dev/null +++ b/mt/aj_matmul/matmul_mi.c @@ -0,0 +1,380 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +void matrix_sub(int size, data_t A[], data_t B[], data_t C[]) { + if (coreid != 0) + return; + + for(int i = 0; i < size; i++){ + C[i] = A[i] + B[i]; + } +} + +void matrix_add(int size, data_t A[], data_t B[], data_t C[]) { + if (coreid != 0) + return; + + for(int i = 0; i < size; i++){ + C[i] = A[i] - B[i]; + } +} + +void strassen_mult(int dime, const data_t sA[], const data_t sB[], data_t sC[]) { + + if (coreid != 0) + return; + + int height, width; + int sub_size = dime*dime/4; + +// data_t A_11[sub_size], B_11[sub_size], C_11[sub_size], +// A_12[sub_size], B_12[sub_size], C_12[sub_size], +// A_21[sub_size], B_21[sub_size], C_21[sub_size], +// A_22[sub_size], B_22[sub_size], C_22[sub_size]; + + data_t *A_11 = malloc(sub_size*sizeof(data_t)); + data_t *A_12 = malloc(sub_size*sizeof(data_t)); + data_t *A_21 = malloc(sub_size*sizeof(data_t)); + data_t *A_22 = malloc(sub_size*sizeof(data_t)); + data_t *B_11 = malloc(sub_size*sizeof(data_t)); + data_t *B_12 = malloc(sub_size*sizeof(data_t)); + data_t *B_21 = malloc(sub_size*sizeof(data_t)); + data_t *B_22 = malloc(sub_size*sizeof(data_t)); + + for(height=0; height < dime/2; height++) { + for(width= 0; width < dime/2; width++) { + A_11[width+(height*dime/2)] = sA[width + height*dime]; + B_11[width+(height*dime/2)] = sB[width + height*dime]; + + A_12[width+(height*dime/2)] = sA[dime/2 + width + height*dime]; + B_12[width+(height*dime/2)] = sB[dime/2 + width + height*dime]; + + A_21[width+(height*dime/2)] = sA[(dime*dime)/2 + width + height*dime]; + B_21[width+(height*dime/2)] = sB[(dime*dime)/2 + width + height*dime]; + + A_22[width+(height*dime/2)] = sA[(dime*dime)/2 + dime/2 + width + height*dime]; + B_22[width+(height*dime/2)] = sB[(dime*dime)/2 + dime/2 + width + height*dime]; + } + } + +// data_t H_1[sub_size], H_2[sub_size], H_3[sub_size], H_4[sub_size], H_5[sub_size], +// H_6[sub_size], H_7[sub_size], H_8[sub_size], H_9[sub_size], H_10[sub_size], +// H_11[sub_size], H_12[sub_size], H_13[sub_size], H_14[sub_size], +// H_15[sub_size], H_16[sub_size], H_17[sub_size], H_18[sub_size]; + + data_t *H_1 = malloc(sub_size*sizeof(data_t)); + data_t *H_2 = malloc(sub_size*sizeof(data_t)); + data_t *H_3 = malloc(sub_size*sizeof(data_t)); + data_t *H_4 = malloc(sub_size*sizeof(data_t)); + data_t *H_5 = malloc(sub_size*sizeof(data_t)); + data_t *H_6 = malloc(sub_size*sizeof(data_t)); + data_t *H_7 = malloc(sub_size*sizeof(data_t)); + data_t *H_8 = malloc(sub_size*sizeof(data_t)); + data_t *H_9 = malloc(sub_size*sizeof(data_t)); + data_t *H_10 = malloc(sub_size*sizeof(data_t)); + + matrix_add(sub_size, A_11, A_22, H_1); //Helper1 + matrix_add(sub_size, B_11, B_22, H_2); //Helper2 + matrix_add(sub_size, A_21, A_22, H_3); //Helper3 + matrix_sub(sub_size, B_12, B_22, H_4); //Helper4 + matrix_sub(sub_size, B_21, B_11, H_5); //Helper5 + matrix_add(sub_size, A_11, A_12, H_6); //Helper6 + matrix_sub(sub_size, A_21, A_11, H_7); //Helper7 + matrix_add(sub_size, B_11, B_12, H_8); //Helper8 + matrix_sub(sub_size, A_12, A_22, H_9); //Helper9 + matrix_add(sub_size, B_21, B_22, H_10); //Helper10 + + free(A_12); + free(A_21); + free(B_12); + free(B_21); + + A_12 = NULL; + A_21 = NULL; + B_12 = NULL; + B_21 = NULL; + +// data_t M_1[sub_size], M_2[sub_size], M_3[sub_size], M_4[sub_size], +// M_5[sub_size], M_6[sub_size], M_7[sub_size]; + + data_t *M_1 = malloc(sub_size*sizeof(data_t)); + data_t *M_2 = malloc(sub_size*sizeof(data_t)); + data_t *M_3 = malloc(sub_size*sizeof(data_t)); + data_t *M_4 = malloc(sub_size*sizeof(data_t)); + data_t *M_5 = malloc(sub_size*sizeof(data_t)); + data_t *M_6 = malloc(sub_size*sizeof(data_t)); + data_t *M_7 = malloc(sub_size*sizeof(data_t)); + + if (sub_size == 1) { + M_1[0] = H_1[0]*H_2[0]; + M_2[0] = H_3[0]*B_11[0]; + M_3[0] = A_11[0]*H_4[0]; + M_4[0] = A_22[0]*H_5[0]; + M_5[0] = H_6[0]*B_22[0]; + M_6[0] = H_7[0]*H_8[0]; + M_7[0] = H_9[0]*H_10[0]; + } else { + strassen_mult(dime/2, H_1, H_2, M_1); + strassen_mult(dime/2, H_3, B_11, M_2); + strassen_mult(dime/2, A_11, H_4, M_3); + strassen_mult(dime/2, A_22, H_5, M_4); + strassen_mult(dime/2, H_6, B_22, M_5); + strassen_mult(dime/2, H_7, H_8, M_6); + strassen_mult(dime/2, H_9, H_10, M_7); + } + + free(A_11); + free(A_22); + free(B_11); + free(B_22); + + A_11 = NULL; + A_22 = NULL; + B_11 = NULL; + B_22 = NULL; + + free(H_1); + free(H_2); + free(H_3); + free(H_4); + free(H_5); + free(H_6); + free(H_7); + free(H_8); + free(H_9); + free(H_10); + + H_1 = NULL; + H_2 = NULL; + H_3 = NULL; + H_4 = NULL; + H_5 = NULL; + H_6 = NULL; + H_7 = NULL; + H_8 = NULL; + H_9 = NULL; + H_10 = NULL; + + data_t *H_11 = malloc(sub_size*sizeof(data_t)); + data_t *H_12 = malloc(sub_size*sizeof(data_t)); + data_t *H_13 = malloc(sub_size*sizeof(data_t)); + data_t *H_14 = malloc(sub_size*sizeof(data_t)); + + data_t *C_11 = malloc(sub_size*sizeof(data_t)); + data_t *C_12 = malloc(sub_size*sizeof(data_t)); + data_t *C_21 = malloc(sub_size*sizeof(data_t)); + data_t *C_22 = malloc(sub_size*sizeof(data_t)); + + matrix_add(sub_size, M_1, M_4, H_11); + matrix_add(sub_size, M_5, M_7, H_12); + matrix_sub(sub_size, H_11, H_12, C_11); + + matrix_add(sub_size, M_3, M_5, C_12); + + matrix_add(sub_size, M_2, M_4, C_21); + + matrix_sub(sub_size, M_1, M_2, H_13); + matrix_add(sub_size, M_3, M_6, H_14); + matrix_add(sub_size, H_13, H_14, C_22); + + free(H_11); + free(H_12); + free(H_13); + free(H_14); + + H_11 = NULL; + H_12 = NULL; + H_13 = NULL; + H_14 = NULL; + + + for(height=0; height < dime/2; height++) { + for(width= 0; width < dime/2; width++) { + sC[width + height*dime] = C_11[width+(height*dime/2)]; + sC[dime/2 + width + height*dime] = C_12[width+(height*dime/2)]; + sC[(dime*dime)/2 + width + height*dime] = C_21[width+(height*dime/2)]; + sC[(dime*dime)/2 + dime/2 + width + height*dime] = C_22[width+(height*dime/2)]; + } + } + + free(C_11); + free(C_12); + free(C_21); + free(C_22); + + C_11 = NULL; + C_12 = NULL; + C_21 = NULL; + C_22 = NULL; + +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + + if (coreid > 0) + return; + + strassen_mult(lda, A, B, C); + +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + +// // Execute the provided, naive matmul +// barrier(); +// stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); +// +// +// // verify +// verify(ARRAY_SIZE, results_data, verify_data); +// +// // clear results from the first trial +// size_t i; +// if (coreid == 0) +// for (i=0; i < ARRAY_SIZE; i++) +// results_data[i] = 0; +// barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/aj_vvadd/aj_vvadd.c b/mt/aj_vvadd/aj_vvadd.c new file mode 100755 index 0000000..55d1dbc --- /dev/null +++ b/mt/aj_vvadd/aj_vvadd.c @@ -0,0 +1,168 @@ +//************************************************************************** +// Vector-vector add benchmark +//-------------------------------------------------------------------------- +// Author : Andrew Waterman +// TA : Christopher Celio +// Student : +// +// This benchmark adds two vectors and writes the results to a +// third vector. The input data (and reference data) should be +// generated using the vvadd_gendata.pl perl script and dumped +// to a file named dataset.h + +// to print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DATA_SIZE, 10*_c/DATA_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %4ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %4ld, correct[%d]= %4ld\n", + i, (long) test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// vvadd function + +//perform in-place vvadd +void __attribute__((noinline)) vvadd(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + size_t i; + + // interleave accesses + for (i = coreid; i < n; i+=ncores) + { + x[i] = x[i] + y[i]; + } +} + +void __attribute__((noinline)) vvadd_opt(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + size_t i; + + for (i = (n/ncores)*coreid; i < (n/ncores)*(coreid+1); i++) + { + x[i] = x[i] + y[i]; + } +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[DATA_SIZE]; + + // because we're going to perform an in-place vvadd (and we're going to run + // it a couple of times) let's copy the input data to a temporary results + // array + + size_t i; + if (coreid == 0) + { + for (i = 0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + + + // Execute the provided, terrible vvadd + barrier(); + stats(vvadd(DATA_SIZE, results_data, input2_data); barrier()); + + + // verify + verify(DATA_SIZE, results_data, verify_data); + + // reset results from the first trial + if (coreid == 0) + { + for (i=0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + barrier(); + + + // Execute your faster vvadd + barrier(); + stats(vvadd_opt(DATA_SIZE, results_data, input2_data); barrier()); + +#ifdef DEBUG + printArray("results: ", DATA_SIZE, results_data); + printArray("verify : ", DATA_SIZE, verify_data); +#endif + + // verify + verify(DATA_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/aj_vvadd/dataset.h b/mt/aj_vvadd/dataset.h new file mode 100755 index 0000000..ce9f936 --- /dev/null +++ b/mt/aj_vvadd/dataset.h @@ -0,0 +1,165 @@ + +#define DATA_SIZE 1000 + +static data_t input1_data[DATA_SIZE] = +{ + 0.00, 15.00, 10.00, 3.00, 14.00, 6.00, 2.00, 18.00, 11.00, 15.00, 11.00, 0.00, 17.00, 16.00, 7.00, 13.00, 18.00, 2.00, 2.00, 5.00, + 8.00, 5.00, 12.00, 14.00, 6.00, 12.00, 16.00, 7.00, 9.00, 17.00, 10.00, 10.00, 3.00, 5.00, 14.00, 11.00, 9.00, 12.00, 3.00, 1.00, + 5.00, 4.00, 6.00, 17.00, 17.00, 4.00, 17.00, 15.00, 17.00, 18.00, 3.00, 18.00, 10.00, 6.00, 12.00, 12.00, 3.00, 2.00, 16.00, 1.00, + 5.00, 6.00, 2.00, 17.00, 16.00, 5.00, 10.00, 18.00, 14.00, 4.00, 9.00, 9.00, 7.00, 4.00, 8.00, 13.00, 12.00, 6.00, 4.00, 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12.00, 11.00, 17.00, 4.00, 13.00, 7.00, 16.00, 12.00, 7.00, 18.00 +}; + +static data_t input2_data[DATA_SIZE] = +{ + 8.00, 6.00, 0.00, 18.00, 6.00, 10.00, 1.00, 2.00, 4.00, 2.00, 4.00, 10.00, 6.00, 11.00, 17.00, 4.00, 0.00, 16.00, 14.00, 12.00, + 9.00, 8.00, 13.00, 15.00, 18.00, 2.00, 13.00, 10.00, 5.00, 4.00, 12.00, 9.00, 1.00, 13.00, 12.00, 7.00, 10.00, 17.00, 11.00, 10.00, + 18.00, 15.00, 11.00, 12.00, 7.00, 9.00, 6.00, 5.00, 11.00, 7.00, 10.00, 12.00, 18.00, 18.00, 15.00, 1.00, 3.00, 18.00, 11.00, 16.00, + 13.00, 18.00, 4.00, 13.00, 8.00, 7.00, 10.00, 13.00, 0.00, 9.00, 1.00, 16.00, 13.00, 7.00, 5.00, 5.00, 11.00, 1.00, 6.00, 10.00, + 12.00, 3.00, 10.00, 5.00, 15.00, 15.00, 13.00, 14.00, 14.00, 1.00, 18.00, 5.00, 16.00, 14.00, 10.00, 4.00, 8.00, 4.00, 6.00, 6.00, + 13.00, 14.00, 8.00, 5.00, 14.00, 10.00, 9.00, 10.00, 17.00, 15.00, 6.00, 16.00, 12.00, 9.00, 10.00, 16.00, 16.00, 8.00, 1.00, 12.00, + 7.00, 0.00, 0.00, 3.00, 5.00, 7.00, 10.00, 3.00, 17.00, 10.00, 18.00, 16.00, 1.00, 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22.00, 10.00, + 24.00, 2.00, 17.00, 9.00, 22.00, 30.00, 24.00, 33.00, 25.00, 17.00, 23.00, 9.00, 13.00, 15.00, 23.00, 10.00, 1.00, 22.00, 17.00, 10.00, + 32.00, 24.00, 26.00, 4.00, 15.00, 0.00, 27.00, 23.00, 28.00, 23.00, 30.00, 7.00, 16.00, 33.00, 20.00, 14.00, 23.00, 14.00, 20.00, 14.00, + 7.00, 25.00, 24.00, 12.00, 29.00, 16.00, 17.00, 20.00, 29.00, 16.00, 13.00, 18.00, 26.00, 18.00, 18.00, 17.00, 13.00, 29.00, 14.00, 17.00, + 24.00, 16.00, 21.00, 14.00, 26.00, 9.00, 11.00, 28.00, 25.00, 15.00, 15.00, 12.00, 6.00, 14.00, 27.00, 14.00, 24.00, 18.00, 18.00, 14.00, + 32.00, 21.00, 26.00, 13.00, 6.00, 24.00, 22.00, 27.00, 17.00, 26.00, 19.00, 21.00, 19.00, 9.00, 21.00, 25.00, 17.00, 27.00, 15.00, 18.00 +}; + diff --git a/mt/aj_vvadd/vvadd_gendata.pl b/mt/aj_vvadd/vvadd_gendata.pl new file mode 100755 index 0000000..a9fceac --- /dev/null +++ b/mt/aj_vvadd/vvadd_gendata.pl @@ -0,0 +1,139 @@ +#!/usr/bin/perl -w +#========================================================================== +# vvadd_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the vvadd benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: vvadd_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[DATA_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3.2f",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + my @values1; + my @values2; + my @sum; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + my $value1 = int(rand(19)); + my $value2 = int(rand(19)); + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @sum, $value1 + $value2 ); + } + + + print "\n\#define DATA_SIZE ".$opts{"size"}." \n\n"; + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@sum ); + +} + +main(); + diff --git a/mt/ak_matmul/ak_matmul.c b/mt/ak_matmul/ak_matmul.c new file mode 100755 index 0000000..614a81f --- /dev/null +++ b/mt/ak_matmul/ak_matmul.c @@ -0,0 +1,213 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + int i, j, k, ii, jj, bsize; + bsize = 16; + for ( jj = bsize*coreid; jj < lda; jj += bsize*ncores) { + for ( ii = 0; ii < lda; ii += bsize) { + for ( j = jj; j < lda && j < jj + bsize; j++) { + for ( i = ii; i < lda && i < ii + bsize; i += 8) { + data_t c1 = C[i + j*lda]; + data_t c2 = C[i + j*lda + 1]; + data_t c3 = C[i + j*lda + 2]; + data_t c4 = C[i + j*lda + 3]; + data_t c5 = C[i + j*lda + 4]; + data_t c6 = C[i + j*lda + 5]; + data_t c7 = C[i + j*lda + 6]; + data_t c8 = C[i + j*lda + 7]; + for ( k = 0; k < lda; k+=4 ) { + for (int x = 0; x < 4; x++) { + data_t a = A[j*lda + k+x]; + data_t b1 = B[(k+x)*lda + i]; + data_t b2 = B[(k+x)*lda + i + 1]; + data_t b3 = B[(k+x)*lda + i + 2]; + data_t b4 = B[(k+x)*lda + i + 3]; + data_t b5 = B[(k+x)*lda + i + 4]; + data_t b6 = B[(k+x)*lda + i + 5]; + data_t b7 = B[(k+x)*lda + i + 6]; + data_t b8 = B[(k+x)*lda + i + 7]; + c1 += a * b1; + c2 += a * b2; + c3 += a * b3; + c4 += a * b4; + c5 += a * b5; + c6 += a * b6; + c7 += a * b7; + c8 += a * b8; + } + } + C[i + j*lda] = c1; + C[i + j*lda + 1] = c2; + C[i + j*lda + 2] = c3; + C[i + j*lda + 3] = c4; + C[i + j*lda + 4] = c5; + C[i + j*lda + 5] = c6; + C[i + j*lda + 6] = c7; + C[i + j*lda + 7] = c8; + } + } + } + } + +} +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + +// // Execute the provided, naive matmul +// barrier(); +// stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); +// +// +// // verify +// verify(ARRAY_SIZE, results_data, verify_data); +// +// // clear results from the first trial +// size_t i; +// if (coreid == 0) +// for (i=0; i < ARRAY_SIZE; i++) +// results_data[i] = 0; +// barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/ak_matmul/dataset.h b/mt/ak_matmul/dataset.h new file mode 100755 index 0000000..dde3ee4 --- /dev/null +++ b/mt/ak_matmul/dataset.h @@ -0,0 +1,174 @@ + +#define ARRAY_SIZE 1024 + + +#define DIM_SIZE 32 + +static data_t input1_data[ARRAY_SIZE] = +{ + 0, 3, 2, 0, 3, 1, 0, 3, 2, 3, 2, 0, 3, 3, 1, 2, 3, 0, 0, 1, + 1, 1, 2, 3, 1, 2, 3, 1, 1, 3, 2, 2, 0, 1, 3, 2, 2, 2, 0, 0, + 1, 0, 1, 3, 3, 0, 3, 3, 3, 3, 0, 3, 2, 1, 2, 2, 0, 0, 3, 0, + 1, 1, 0, 3, 3, 1, 2, 3, 3, 0, 1, 2, 1, 0, 1, 2, 2, 1, 0, 3, + 1, 0, 2, 2, 1, 1, 1, 1, 1, 1, 2, 0, 3, 1, 1, 2, 2, 3, 3, 1, + 3, 2, 0, 0, 0, 3, 3, 3, 2, 1, 2, 3, 1, 0, 0, 0, 0, 1, 2, 2, + 1, 1, 3, 3, 3, 1, 1, 2, 3, 1, 3, 3, 2, 3, 2, 1, 2, 3, 0, 2, + 2, 1, 1, 0, 0, 0, 0, 0, 1, 3, 3, 1, 1, 1, 2, 2, 3, 2, 1, 1, + 1, 1, 3, 0, 2, 2, 1, 3, 2, 1, 2, 2, 1, 3, 1, 3, 1, 3, 2, 3, + 1, 2, 1, 3, 2, 2, 0, 1, 0, 0, 1, 2, 3, 3, 1, 0, 0, 0, 3, 1, + 2, 3, 2, 3, 2, 0, 0, 0, 0, 0, 3, 1, 3, 0, 0, 0, 3, 1, 1, 1, + 1, 2, 1, 2, 3, 2, 0, 0, 2, 2, 3, 0, 3, 0, 0, 3, 0, 3, 1, 3, + 3, 1, 1, 1, 2, 2, 1, 3, 0, 3, 3, 1, 0, 0, 3, 2, 1, 3, 3, 3, + 1, 0, 1, 1, 2, 1, 0, 1, 1, 2, 2, 3, 1, 2, 2, 2, 0, 1, 3, 3, + 3, 2, 2, 1, 0, 1, 2, 0, 1, 1, 1, 1, 2, 3, 2, 2, 3, 3, 0, 0, + 2, 0, 0, 0, 3, 0, 1, 0, 3, 0, 0, 0, 3, 0, 0, 2, 0, 2, 0, 0, + 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 0, 2, 0, 0, 3, 3, 2, 3, 3, 0, + 1, 0, 2, 2, 0, 3, 3, 1, 1, 0, 2, 3, 2, 1, 1, 0, 1, 2, 1, 2, + 2, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 3, 3, 2, 0, 0, 1, 3, 0, 3, + 3, 0, 0, 0, 0, 3, 3, 1, 0, 0, 3, 3, 2, 1, 2, 1, 3, 3, 0, 1, + 3, 0, 2, 3, 1, 3, 3, 3, 3, 3, 0, 1, 1, 3, 0, 2, 2, 3, 1, 2, + 2, 2, 1, 3, 3, 0, 3, 0, 0, 2, 0, 2, 3, 0, 1, 3, 2, 2, 0, 0, + 2, 3, 0, 2, 2, 2, 3, 1, 0, 3, 3, 3, 3, 1, 0, 3, 3, 2, 0, 3, + 2, 0, 3, 0, 2, 0, 0, 2, 2, 1, 0, 2, 3, 1, 1, 1, 1, 2, 3, 3, + 3, 0, 0, 3, 3, 3, 2, 3, 3, 1, 2, 2, 3, 1, 2, 1, 1, 3, 0, 1, + 2, 0, 2, 0, 0, 1, 3, 2, 0, 1, 3, 2, 3, 3, 0, 0, 0, 1, 0, 3, + 3, 2, 2, 2, 1, 1, 2, 2, 1, 3, 2, 0, 1, 3, 2, 0, 2, 1, 3, 0, + 0, 0, 1, 3, 3, 2, 2, 2, 3, 1, 0, 0, 1, 1, 2, 1, 3, 1, 1, 2, + 2, 3, 2, 3, 0, 2, 3, 3, 0, 3, 0, 0, 1, 0, 0, 0, 1, 3, 1, 1, + 2, 3, 2, 1, 1, 2, 2, 2, 3, 0, 1, 1, 2, 1, 2, 0, 2, 3, 1, 3, + 0, 1, 1, 3, 0, 2, 3, 0, 1, 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 2, + 3, 0, 1, 1, 1, 1, 2, 0, 1, 2, 0, 1, 1, 1, 0, 1, 3, 2, 3, 1, + 0, 2, 1, 2, 1, 3, 3, 1, 0, 2, 2, 3, 1, 3, 1, 3, 0, 1, 0, 3, + 0, 3, 2, 0, 3, 3, 3, 0, 3, 2, 2, 2, 1, 3, 0, 0, 1, 1, 3, 0, + 1, 2, 1, 0, 0, 0, 3, 2, 2, 0, 0, 2, 1, 3, 0, 0, 3, 0, 0, 2, + 1, 1, 2, 2, 1, 3, 2, 2, 1, 1, 2, 1, 3, 2, 1, 1, 3, 0, 1, 3, + 3, 2, 2, 1, 0, 3, 2, 2, 2, 3, 0, 1, 3, 3, 2, 3, 0, 3, 2, 3, + 1, 1, 0, 0, 0, 2, 3, 0, 3, 0, 1, 1, 3, 1, 3, 2, 1, 1, 2, 1, + 3, 2, 0, 2, 1, 0, 2, 3, 2, 3, 2, 1, 2, 3, 0, 0, 1, 1, 0, 0, + 2, 1, 0, 1, 2, 2, 2, 2, 0, 3, 3, 1, 0, 0, 0, 0, 3, 1, 1, 0, + 0, 0, 0, 1, 2, 2, 1, 3, 0, 2, 3, 2, 3, 2, 2, 1, 2, 2, 3, 3, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 2, 2, 3, 1, 1, 1, 0, 0, 0, 3, 0, + 1, 0, 3, 1, 1, 3, 0, 1, 2, 2, 0, 0, 3, 3, 3, 3, 2, 1, 0, 0, + 1, 0, 2, 0, 1, 1, 0, 0, 3, 3, 2, 1, 1, 1, 0, 1, 1, 2, 2, 1, + 1, 2, 0, 3, 1, 3, 1, 0, 3, 0, 3, 1, 1, 1, 0, 2, 0, 3, 1, 0, + 1, 0, 2, 0, 2, 3, 3, 3, 1, 2, 3, 2, 2, 0, 1, 1, 0, 3, 3, 1, + 3, 3, 2, 0, 2, 0, 2, 2, 3, 3, 3, 0, 2, 3, 3, 1, 3, 2, 2, 2, + 0, 2, 3, 0, 2, 0, 3, 2, 2, 1, 1, 0, 2, 2, 2, 0, 2, 2, 0, 1, + 3, 2, 1, 3, 2, 2, 0, 3, 3, 1, 2, 2, 0, 0, 3, 2, 1, 2, 2, 1, + 3, 1, 2, 0, 0, 1, 1, 2, 1, 3, 2, 2, 3, 0, 2, 1, 3, 2, 1, 3, + 2, 3, 3, 1, 2, 1, 2, 2, 0, 0, 0, 3, 0, 2, 3, 1, 0, 0, 2, 3, + 3, 2, 2, 1 +}; + +static data_t input2_data[ARRAY_SIZE] = +{ + 1, 1, 0, 3, 1, 2, 0, 0, 0, 0, 0, 2, 1, 2, 3, 0, 0, 3, 3, 2, + 2, 1, 2, 3, 3, 0, 2, 2, 1, 1, 2, 2, 0, 2, 2, 1, 2, 3, 2, 2, + 3, 3, 2, 2, 1, 1, 1, 1, 2, 1, 2, 2, 3, 3, 3, 0, 0, 3, 2, 3, + 2, 3, 1, 2, 1, 1, 2, 2, 0, 1, 0, 3, 2, 1, 1, 1, 2, 0, 1, 2, + 2, 0, 2, 1, 3, 3, 2, 3, 2, 0, 3, 1, 3, 3, 2, 0, 1, 0, 1, 1, + 2, 2, 1, 1, 2, 2, 1, 2, 3, 3, 1, 3, 2, 2, 2, 3, 3, 1, 0, 2, + 1, 0, 0, 0, 1, 1, 2, 0, 3, 2, 3, 3, 0, 2, 3, 1, 0, 0, 2, 1, + 2, 0, 2, 1, 1, 2, 3, 1, 3, 2, 1, 0, 0, 0, 0, 0, 2, 2, 0, 2, + 1, 2, 0, 3, 2, 2, 0, 0, 3, 2, 1, 1, 3, 0, 2, 0, 0, 1, 0, 2, + 3, 3, 1, 3, 3, 0, 0, 2, 2, 0, 0, 0, 1, 0, 0, 1, 3, 0, 2, 1, + 3, 2, 2, 1, 3, 2, 0, 1, 2, 2, 3, 2, 1, 1, 1, 1, 3, 0, 1, 3, + 2, 2, 3, 1, 1, 2, 0, 2, 1, 1, 2, 3, 1, 0, 1, 0, 1, 1, 0, 0, + 2, 0, 3, 0, 3, 0, 3, 2, 2, 3, 3, 2, 1, 0, 2, 2, 1, 1, 0, 3, + 3, 2, 2, 0, 0, 3, 0, 1, 0, 0, 1, 2, 0, 1, 3, 0, 1, 2, 2, 0, + 0, 3, 0, 3, 0, 1, 1, 2, 0, 0, 0, 3, 0, 0, 2, 1, 1, 1, 0, 2, + 1, 3, 1, 2, 0, 3, 0, 3, 1, 3, 0, 0, 2, 2, 2, 2, 3, 3, 2, 1, + 2, 2, 1, 1, 2, 2, 2, 2, 0, 3, 0, 0, 2, 0, 1, 2, 0, 3, 2, 3, + 2, 0, 2, 1, 2, 1, 0, 2, 1, 1, 3, 2, 2, 3, 1, 0, 3, 3, 1, 0, + 3, 2, 2, 0, 0, 3, 0, 0, 2, 0, 3, 2, 3, 1, 1, 0, 0, 2, 3, 0, + 0, 1, 1, 1, 2, 1, 3, 2, 1, 3, 0, 1, 3, 3, 1, 1, 1, 1, 1, 1, + 0, 0, 2, 3, 2, 2, 2, 3, 2, 3, 1, 2, 3, 2, 2, 2, 0, 1, 3, 0, + 1, 1, 0, 1, 0, 1, 1, 3, 3, 1, 2, 2, 3, 2, 0, 2, 2, 0, 1, 3, + 0, 1, 3, 2, 1, 3, 3, 2, 0, 1, 3, 2, 0, 2, 1, 1, 0, 3, 0, 1, + 1, 1, 1, 1, 3, 0, 0, 1, 0, 2, 3, 1, 3, 0, 2, 1, 3, 0, 3, 0, + 3, 2, 2, 0, 0, 2, 1, 3, 3, 2, 3, 2, 2, 1, 2, 2, 3, 0, 3, 2, + 2, 0, 3, 2, 3, 2, 0, 0, 1, 2, 0, 0, 2, 0, 0, 3, 3, 2, 0, 0, + 3, 3, 0, 2, 3, 1, 0, 1, 0, 2, 1, 0, 2, 1, 0, 1, 0, 3, 0, 2, + 2, 3, 0, 0, 2, 1, 0, 1, 0, 0, 0, 2, 2, 3, 2, 0, 3, 3, 2, 1, + 0, 0, 3, 1, 2, 3, 3, 1, 0, 3, 1, 1, 0, 3, 3, 3, 2, 2, 2, 0, + 1, 2, 0, 3, 0, 1, 0, 1, 1, 0, 1, 2, 0, 3, 2, 0, 1, 2, 2, 0, + 2, 0, 0, 1, 0, 3, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 1, 1, 1, 0, + 2, 1, 1, 3, 2, 0, 2, 1, 1, 0, 2, 2, 1, 3, 0, 2, 1, 0, 1, 2, + 0, 1, 3, 2, 3, 2, 1, 0, 2, 0, 2, 2, 3, 1, 1, 3, 2, 3, 2, 2, + 0, 2, 0, 0, 0, 3, 2, 0, 2, 2, 3, 3, 3, 2, 1, 2, 0, 0, 3, 0, + 2, 0, 3, 2, 2, 3, 0, 3, 2, 1, 2, 2, 1, 2, 0, 0, 3, 1, 2, 0, + 2, 3, 2, 2, 1, 1, 1, 3, 3, 3, 3, 3, 1, 3, 0, 1, 3, 2, 2, 1, + 0, 1, 1, 2, 1, 2, 3, 1, 2, 2, 1, 2, 1, 1, 0, 3, 3, 1, 1, 3, + 2, 0, 0, 1, 2, 0, 1, 3, 1, 0, 0, 2, 2, 3, 3, 0, 2, 3, 2, 1, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 3, 3, 3, 1, 3, 0, 3, 1, 1, 2, 2, + 2, 1, 0, 3, 2, 3, 0, 2, 3, 2, 3, 1, 2, 3, 3, 1, 2, 1, 0, 0, + 0, 3, 3, 3, 3, 0, 3, 3, 3, 3, 2, 1, 0, 3, 0, 3, 2, 3, 1, 0, + 0, 1, 3, 1, 0, 2, 2, 3, 1, 0, 2, 1, 1, 3, 1, 1, 3, 1, 2, 1, + 0, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 3, 3, 1, 0, 3, 1, 1, 2, 0, + 0, 0, 2, 3, 3, 2, 2, 3, 0, 2, 3, 1, 3, 3, 0, 2, 1, 2, 2, 2, + 1, 0, 1, 3, 2, 3, 1, 1, 2, 1, 1, 0, 0, 2, 3, 2, 1, 0, 3, 1, + 3, 0, 1, 1, 2, 2, 1, 3, 3, 1, 1, 0, 0, 3, 3, 0, 0, 0, 0, 0, + 3, 1, 3, 0, 0, 0, 3, 3, 2, 1, 3, 0, 1, 3, 1, 1, 1, 0, 1, 0, + 1, 2, 2, 2, 3, 3, 0, 2, 3, 2, 1, 3, 3, 1, 1, 3, 0, 3, 3, 2, + 1, 1, 2, 0, 3, 0, 1, 2, 1, 1, 0, 0, 1, 2, 2, 0, 3, 1, 1, 1, + 3, 3, 3, 1, 0, 3, 3, 2, 2, 2, 1, 2, 0, 1, 1, 3, 0, 3, 1, 0, + 2, 2, 0, 1, 2, 3, 2, 1, 2, 0, 3, 2, 1, 3, 0, 1, 2, 0, 3, 0, + 1, 1, 2, 1 +}; + +static data_t verify_data[ARRAY_SIZE] = +{ + 72, 75, 88, 101, 80, 88, 73, 75, 80, 81, 58, 75, 86, 65, 60, 80, 84, 83, 87, 83, + 108, 93, 85, 76, 72, 98, 79, 86, 80, 96, 91, 85, 72, 64, 70, 83, 68, 92, 51, 54, + 85, 85, 60, 58, 90, 64, 55, 69, 72, 48, 94, 77, 91, 83, 70, 69, 67, 77, 59, 50, + 67, 74, 77, 67, 67, 62, 72, 71, 68, 79, 54, 61, 67, 61, 55, 62, 78, 60, 53, 64, + 67, 69, 99, 68, 88, 60, 66, 63, 70, 62, 65, 50, 53, 66, 70, 72, 75, 78, 85, 95, + 71, 89, 70, 68, 86, 88, 58, 77, 84, 70, 65, 68, 73, 75, 91, 96, 105, 92, 76, 68, + 86, 69, 80, 59, 73, 83, 88, 75, 64, 63, 71, 99, 77, 77, 69, 55, 80, 73, 54, 73, + 87, 78, 60, 69, 65, 78, 86, 89, 95, 92, 63, 69, 89, 61, 80, 65, 70, 77, 89, 77, + 79, 79, 73, 92, 64, 81, 60, 78, 81, 80, 61, 63, 89, 65, 56, 83, 77, 65, 102, 70, + 98, 86, 96, 68, 72, 89, 73, 73, 70, 89, 84, 76, 48, 61, 63, 70, 70, 79, 50, 53, + 64, 63, 43, 51, 59, 62, 43, 63, 55, 77, 79, 74, 75, 74, 64, 44, 65, 69, 72, 66, + 54, 71, 74, 72, 69, 76, 68, 89, 94, 75, 65, 53, 85, 79, 65, 74, 82, 73, 58, 70, + 84, 77, 99, 72, 92, 84, 78, 62, 59, 83, 71, 74, 63, 85, 80, 78, 71, 72, 79, 83, + 73, 82, 60, 85, 76, 82, 60, 70, 82, 68, 54, 85, 84, 70, 86, 74, 100, 88, 98, 68, + 67, 87, 69, 73, 68, 88, 76, 71, 47, 43, 47, 80, 54, 65, 40, 37, 59, 53, 33, 48, + 62, 40, 36, 55, 36, 62, 53, 57, 70, 69, 45, 43, 53, 61, 42, 57, 56, 63, 51, 47, + 59, 75, 64, 89, 83, 75, 59, 75, 91, 92, 58, 64, 83, 74, 58, 60, 76, 66, 97, 69, + 90, 95, 92, 64, 78, 75, 77, 73, 65, 78, 82, 75, 47, 54, 59, 71, 59, 56, 53, 42, + 60, 55, 40, 51, 60, 46, 36, 59, 46, 57, 67, 43, 51, 53, 53, 38, 54, 56, 55, 48, + 41, 46, 63, 63, 80, 77, 89, 102, 89, 98, 74, 86, 98, 93, 63, 76, 98, 77, 48, 101, + 86, 88, 100, 82, 102, 90, 95, 75, 86, 103, 83, 98, 80, 104, 98, 86, 71, 74, 80, 90, + 86, 87, 73, 70, 81, 83, 55, 66, 90, 66, 58, 84, 77, 84, 93, 72, 99, 75, 85, 65, + 70, 89, 71, 82, 64, 79, 82, 80, 67, 73, 86, 101, 78, 97, 66, 64, 84, 80, 55, 64, + 79, 73, 51, 79, 89, 68, 94, 77, 109, 102, 82, 61, 66, 93, 88, 70, 82, 82, 85, 69, + 69, 72, 66, 97, 85, 90, 70, 59, 76, 89, 53, 56, 90, 79, 71, 64, 70, 67, 100, 92, + 106, 89, 83, 78, 73, 80, 70, 72, 65, 70, 92, 88, 57, 76, 55, 85, 66, 80, 61, 63, + 63, 78, 54, 58, 71, 73, 54, 63, 63, 62, 89, 76, 86, 81, 83, 54, 70, 81, 78, 64, + 56, 72, 74, 81, 75, 63, 68, 89, 65, 77, 58, 68, 75, 83, 52, 62, 82, 63, 55, 75, + 51, 70, 95, 66, 83, 77, 86, 61, 64, 77, 48, 70, 66, 82, 72, 75, 79, 71, 72, 89, + 78, 78, 66, 59, 91, 80, 55, 64, 79, 68, 54, 71, 67, 75, 87, 84, 100, 101, 76, 58, + 74, 82, 61, 74, 75, 97, 85, 79, 61, 55, 69, 68, 72, 65, 52, 64, 80, 73, 48, 54, + 71, 66, 42, 61, 66, 63, 92, 64, 85, 77, 73, 54, 74, 73, 76, 66, 62, 79, 85, 70, + 71, 84, 87, 81, 88, 86, 77, 77, 93, 88, 78, 71, 101, 89, 58, 84, 95, 81, 89, 97, + 104, 79, 83, 76, 90, 81, 91, 74, 70, 76, 91, 80, 51, 48, 56, 69, 47, 63, 54, 42, + 63, 63, 42, 52, 66, 56, 39, 59, 61, 52, 59, 63, 62, 68, 57, 35, 67, 58, 56, 52, + 61, 63, 60, 47, 85, 75, 89, 106, 88, 95, 74, 82, 107, 107, 64, 78, 98, 90, 62, 91, + 79, 87, 111, 84, 104, 106, 96, 68, 94, 99, 81, 89, 79, 105, 95, 86, 65, 63, 77, 89, + 66, 88, 56, 73, 82, 92, 41, 62, 85, 66, 50, 81, 57, 71, 77, 78, 86, 89, 77, 53, + 67, 78, 61, 63, 72, 82, 69, 66, 59, 46, 55, 70, 56, 64, 45, 50, 65, 64, 42, 56, + 78, 49, 51, 52, 38, 56, 72, 55, 73, 72, 61, 50, 63, 60, 47, 57, 55, 73, 53, 68, + 85, 88, 91, 96, 82, 89, 73, 76, 87, 86, 67, 69, 96, 84, 57, 89, 87, 89, 99, 88, + 104, 90, 85, 75, 88, 92, 85, 75, 74, 87, 103, 94, 55, 48, 56, 65, 72, 50, 45, 51, + 63, 62, 47, 57, 79, 53, 36, 63, 54, 68, 71, 59, 63, 61, 63, 41, 50, 73, 57, 59, + 56, 76, 73, 65, 61, 64, 61, 79, 53, 73, 57, 44, 61, 59, 59, 56, 81, 59, 49, 62, + 65, 55, 69, 72, 79, 70, 58, 57, 68, 61, 62, 50, 57, 60, 66, 66, 63, 77, 81, 89, + 85, 81, 76, 73, 78, 95, 59, 70, 81, 77, 46, 79, 78, 79, 83, 81, 84, 82, 85, 48, + 74, 85, 85, 74, 74, 80, 80, 74, 60, 76, 80, 97, 88, 93, 66, 66, 73, 84, 56, 70, + 90, 63, 58, 78, 73, 93, 90, 78, 94, 88, 82, 67, 85, 70, 81, 86, 74, 82, 88, 82, + 68, 73, 75, 91, 78, 97, 71, 66, 74, 85, 50, 59, 86, 77, 70, 74, 75, 74, 99, 82, + 99, 91, 86, 65, 80, 77, 72, 69, 60, 78, 90, 87, 79, 69, 74, 98, 70, 86, 81, 67, + 69, 78, 48, 65, 88, 70, 70, 70, 69, 72, 96, 90, 99, 82, 81, 76, 98, 73, 74, 71, + 69, 73, 94, 89 +}; + diff --git a/mt/ak_matmul/matmulMI.c b/mt/ak_matmul/matmulMI.c new file mode 100755 index 0000000..a9068f8 --- /dev/null +++ b/mt/ak_matmul/matmulMI.c @@ -0,0 +1,212 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + int i, j, k, ii, jj, bsize, start; + bsize = 16; + start = bsize*coreid; + for ( jj = start; jj < lda; jj += bsize*ncores) { + int first = 1; + for ( ii = start; ii !=start || first; ii=(bsize+ii) % lda) { + first = 0; + for ( j = jj; j < lda && j < jj + bsize; j+=4) { + for ( i = ii; i < lda && i < ii + bsize; i+=2) { + data_t c1 = C[i + j*lda]; + data_t c2 = C[i + j*lda + 1]; + data_t c3 = C[i + (j+1)*lda]; + data_t c4 = C[i + (j+1)*lda + 1]; + data_t c5 = C[i + (j+2)*lda]; + data_t c6 = C[i + (j+2)*lda + 1]; + data_t c7 = C[i + (j+3)*lda]; + data_t c8 = C[i + (j+3)*lda + 1]; + for ( k = 0; k < lda; k+=8){ + for (int x = 0; x < 8; x++) { + data_t a = A[j*lda + k+x]; + data_t a1 = A[(j+1)*lda +k+x]; + data_t a2 = A[(j+2)*lda +k+x]; + data_t a3 = A[(j+3)*lda +k+x]; + data_t b1 = B[(k+x)*lda + i]; + data_t b2 = B[(k+x)*lda + i + 1]; + c1 += a * b1; + c2 += a * b2; + c3 += a1* b1; + c4 += a1* b2; + c5 += a2* b1; + c6 += a2* b2; + c7 += a3* b1; + c8 += a3* b2; + } + } + C[i + j*lda] = c1; + C[i + j*lda + 1] = c2; + C[i + (j+1)*lda] = c3; + C[i + (j+1)*lda + 1] = c4; + C[i + (j+2)*lda] = c5; + C[i + (j+2)*lda + 1] = c6; + C[i + (j+3)*lda] = c7; + C[i + (j+3)*lda + 1] = c8; + } + } + } + } +} +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + + // Execute the provided, naive matmul + barrier(); + stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + + // clear results from the first trial + size_t i; + if (coreid == 0) + for (i=0; i < ARRAY_SIZE; i++) + results_data[i] = 0; + barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/ak_matmul/matmul_gendata.pl b/mt/ak_matmul/matmul_gendata.pl new file mode 100755 index 0000000..f21bb46 --- /dev/null +++ b/mt/ak_matmul/matmul_gendata.pl @@ -0,0 +1,200 @@ +#!/usr/bin/perl -w +#========================================================================== +# matmul_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the matmul benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: matmul_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[ARRAY_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3d",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + + + +#-------------------------------------------------------------------------- +# Matmul +#-------------------------------------------------------------------------- + +# http://answers.oreilly.com/topic/418-how-to-multiply-matrices-in-perl/ + +sub mmult { + my ($m1,$m2) = @_; + my ($m1rows,$m1cols) = matdim($m1); + my ($m2rows,$m2cols) = matdim($m2); + + my $result = [ ]; + my ($i, $j, $k); + + for $i (range($m1rows)) { + for $j (range($m2cols)) { + for $k (range($m1cols)) { + $result->[$i][$j] += $m1->[$i][$k] * $m2->[$k][$j]; + } + } + } + return $result; +} + +sub range { 0 .. ($_[0] - 1) } + + +sub veclen { + my $ary_ref = $_[0]; + my $type = ref $ary_ref; + if ($type ne "ARRAY") { die "$type is bad array ref for $ary_ref" } + return scalar(@$ary_ref); +} + +sub matdim { + my $matrix = $_[0]; + my $rows = veclen($matrix); + my $cols = veclen($matrix->[0]); + return ($rows, $cols); +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + # create random input arrays + my $mat_values1; + my $mat_values2; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + $mat_values1->[$i][$j] = int(rand(4)); + $mat_values2->[$i][$j] = int(rand(4)); + } + } + + # perform matmul + my $mat_results = mmult( $mat_values1, $mat_values2 ); + + # translate 2d arrays to 1d-somethings (I don't know how to code in perl - Chris) + my @values1; + my @values2; + my @results; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + my $value1 = $mat_values1->[$i][$j]; + my $value2 = $mat_values2->[$i][$j]; + my $result = $mat_results->[$i][$j]; + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @results, $result ); + } + } + + print "\n\#define ARRAY_SIZE ".($opts{"size"}*$opts{"size"})." \n\n"; + print "\n\#define DIM_SIZE ".$opts{"size"}." \n\n"; + + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@results); + +} + +main(); + diff --git a/mt/ak_matmul/matmul_mi.c b/mt/ak_matmul/matmul_mi.c new file mode 100755 index 0000000..992194d --- /dev/null +++ b/mt/ak_matmul/matmul_mi.c @@ -0,0 +1,212 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + int i, j, k, ii, jj, bsize, start; + bsize = 16; + start = bsize*coreid; + for ( jj = start; jj < lda; jj += bsize*ncores) { + int first = 1; + for ( ii = start; ii !=start || first; ii=(bsize+ii) % lda) { + first = 0; + for ( j = jj; j < lda && j < jj + bsize; j+=4) { + for ( i = ii; i < lda && i < ii + bsize; i+=2) { + data_t c1 = C[i + j*lda]; + data_t c2 = C[i + j*lda + 1]; + data_t c3 = C[i + (j+1)*lda]; + data_t c4 = C[i + (j+1)*lda + 1]; + data_t c5 = C[i + (j+2)*lda]; + data_t c6 = C[i + (j+2)*lda + 1]; + data_t c7 = C[i + (j+3)*lda]; + data_t c8 = C[i + (j+3)*lda + 1]; + for ( k = 0; k < lda; k+=8){ + for (int x = 0; x < 8; x++) { + data_t a = A[j*lda + k+x]; + data_t a1 = A[(j+1)*lda +k+x]; + data_t a2 = A[(j+2)*lda +k+x]; + data_t a3 = A[(j+3)*lda +k+x]; + data_t b1 = B[(k+x)*lda + i]; + data_t b2 = B[(k+x)*lda + i + 1]; + c1 += a * b1; + c2 += a * b2; + c3 += a1* b1; + c4 += a1* b2; + c5 += a2* b1; + c6 += a2* b2; + c7 += a3* b1; + c8 += a3* b2; + } + } + C[i + j*lda] = c1; + C[i + j*lda + 1] = c2; + C[i + (j+1)*lda] = c3; + C[i + (j+1)*lda + 1] = c4; + C[i + (j+2)*lda] = c5; + C[i + (j+2)*lda + 1] = c6; + C[i + (j+3)*lda] = c7; + C[i + (j+3)*lda + 1] = c8; + } + } + } + } +} +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + +// // Execute the provided, naive matmul +// barrier(); +// stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); +// +// +// // verify +// verify(ARRAY_SIZE, results_data, verify_data); +// +// // clear results from the first trial +// size_t i; +// if (coreid == 0) +// for (i=0; i < ARRAY_SIZE; i++) +// results_data[i] = 0; +// barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/ak_vvadd/ak_vvadd.c b/mt/ak_vvadd/ak_vvadd.c new file mode 100755 index 0000000..a63bbe7 --- /dev/null +++ b/mt/ak_vvadd/ak_vvadd.c @@ -0,0 +1,171 @@ +//************************************************************************** +// Vector-vector add benchmark +//-------------------------------------------------------------------------- +// Author : Andrew Waterman +// TA : Christopher Celio +// Student : +// +// This benchmark adds two vectors and writes the results to a +// third vector. The input data (and reference data) should be +// generated using the vvadd_gendata.pl perl script and dumped +// to a file named dataset.h + +// to print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DATA_SIZE, 10*_c/DATA_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %4ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %4ld, correct[%d]= %4ld\n", + i, (long) test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// vvadd function + +//perform in-place vvadd +void __attribute__((noinline)) vvadd(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + size_t i; + + // interleave accesses + for (i = coreid; i < n; i+=ncores) + { + x[i] = x[i] + y[i]; + } +} + +void __attribute__((noinline)) vvadd_opt(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + size_t i; + size_t size; + size_t start; + size = n / ncores; + start = coreid*size; + + for (i = start; (i < size + start) && i < n; i++) { + x[i] = x[i] + y[i]; + } +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[DATA_SIZE]; + + // because we're going to perform an in-place vvadd (and we're going to run + // it a couple of times) let's copy the input data to a temporary results + // array + + size_t i; + if (coreid == 0) + { + for (i = 0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + + + // Execute the provided, terrible vvadd + barrier(); + stats(vvadd(DATA_SIZE, results_data, input2_data); barrier()); + + + // verify + verify(DATA_SIZE, results_data, verify_data); + + // reset results from the first trial + if (coreid == 0) + { + for (i=0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + barrier(); + + + // Execute your faster vvadd + barrier(); + stats(vvadd_opt(DATA_SIZE, results_data, input2_data); barrier()); + +#ifdef DEBUG + printArray("results: ", DATA_SIZE, results_data); + printArray("verify : ", DATA_SIZE, verify_data); +#endif + + // verify + verify(DATA_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/ak_vvadd/dataset.h b/mt/ak_vvadd/dataset.h new file mode 100755 index 0000000..ce9f936 --- /dev/null +++ b/mt/ak_vvadd/dataset.h @@ -0,0 +1,165 @@ + +#define DATA_SIZE 1000 + +static data_t input1_data[DATA_SIZE] = +{ + 0.00, 15.00, 10.00, 3.00, 14.00, 6.00, 2.00, 18.00, 11.00, 15.00, 11.00, 0.00, 17.00, 16.00, 7.00, 13.00, 18.00, 2.00, 2.00, 5.00, + 8.00, 5.00, 12.00, 14.00, 6.00, 12.00, 16.00, 7.00, 9.00, 17.00, 10.00, 10.00, 3.00, 5.00, 14.00, 11.00, 9.00, 12.00, 3.00, 1.00, + 5.00, 4.00, 6.00, 17.00, 17.00, 4.00, 17.00, 15.00, 17.00, 18.00, 3.00, 18.00, 10.00, 6.00, 12.00, 12.00, 3.00, 2.00, 16.00, 1.00, + 5.00, 6.00, 2.00, 17.00, 16.00, 5.00, 10.00, 18.00, 14.00, 4.00, 9.00, 9.00, 7.00, 4.00, 8.00, 13.00, 12.00, 6.00, 4.00, 17.00, + 5.00, 2.00, 11.00, 11.00, 7.00, 6.00, 8.00, 5.00, 6.00, 6.00, 11.00, 1.00, 18.00, 7.00, 6.00, 9.00, 10.00, 17.00, 14.00, 4.00, + 14.00, 11.00, 2.00, 0.00, 2.00, 17.00, 17.00, 15.00, 10.00, 8.00, 12.00, 18.00, 5.00, 0.00, 0.00, 1.00, 1.00, 8.00, 11.00, 11.00, + 7.00, 5.00, 15.00, 18.00, 15.00, 6.00, 8.00, 9.00, 18.00, 6.00, 15.00, 16.00, 10.00, 18.00, 13.00, 6.00, 10.00, 16.00, 0.00, 10.00, + 12.00, 8.00, 8.00, 3.00, 0.00, 1.00, 4.00, 0.00, 8.00, 15.00, 16.00, 9.00, 7.00, 7.00, 10.00, 9.00, 16.00, 12.00, 5.00, 5.00, + 9.00, 5.00, 17.00, 4.00, 13.00, 13.00, 4.00, 14.00, 10.00, 5.00, 10.00, 10.00, 6.00, 18.00, 5.00, 15.00, 5.00, 15.00, 13.00, 18.00, + 6.00, 13.00, 5.00, 18.00, 12.00, 14.00, 1.00, 7.00, 2.00, 1.00, 7.00, 12.00, 15.00, 15.00, 6.00, 2.00, 1.00, 2.00, 18.00, 6.00, + 10.00, 14.00, 9.00, 15.00, 11.00, 0.00, 3.00, 1.00, 2.00, 2.00, 14.00, 7.00, 18.00, 0.00, 2.00, 2.00, 16.00, 8.00, 4.00, 5.00, + 7.00, 11.00, 7.00, 10.00, 14.00, 10.00, 3.00, 0.00, 13.00, 9.00, 14.00, 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12.00, 11.00, 17.00, 4.00, 13.00, 7.00, 16.00, 12.00, 7.00, 18.00 +}; + +static data_t input2_data[DATA_SIZE] = +{ + 8.00, 6.00, 0.00, 18.00, 6.00, 10.00, 1.00, 2.00, 4.00, 2.00, 4.00, 10.00, 6.00, 11.00, 17.00, 4.00, 0.00, 16.00, 14.00, 12.00, + 9.00, 8.00, 13.00, 15.00, 18.00, 2.00, 13.00, 10.00, 5.00, 4.00, 12.00, 9.00, 1.00, 13.00, 12.00, 7.00, 10.00, 17.00, 11.00, 10.00, + 18.00, 15.00, 11.00, 12.00, 7.00, 9.00, 6.00, 5.00, 11.00, 7.00, 10.00, 12.00, 18.00, 18.00, 15.00, 1.00, 3.00, 18.00, 11.00, 16.00, + 13.00, 18.00, 4.00, 13.00, 8.00, 7.00, 10.00, 13.00, 0.00, 9.00, 1.00, 16.00, 13.00, 7.00, 5.00, 5.00, 11.00, 1.00, 6.00, 10.00, + 12.00, 3.00, 10.00, 5.00, 15.00, 15.00, 13.00, 14.00, 14.00, 1.00, 18.00, 5.00, 16.00, 14.00, 10.00, 4.00, 8.00, 4.00, 6.00, 6.00, + 13.00, 14.00, 8.00, 5.00, 14.00, 10.00, 9.00, 10.00, 17.00, 15.00, 6.00, 16.00, 12.00, 9.00, 10.00, 16.00, 16.00, 8.00, 1.00, 12.00, + 7.00, 0.00, 0.00, 3.00, 5.00, 7.00, 10.00, 3.00, 17.00, 10.00, 18.00, 16.00, 1.00, 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vvadd_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the vvadd benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: vvadd_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[DATA_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3.2f",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + my @values1; + my @values2; + my @sum; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + my $value1 = int(rand(19)); + my $value2 = int(rand(19)); + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @sum, $value1 + $value2 ); + } + + + print "\n\#define DATA_SIZE ".$opts{"size"}." \n\n"; + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@sum ); + +} + +main(); + diff --git a/mt/al_matmul/al_matmul.c b/mt/al_matmul/al_matmul.c new file mode 100644 index 0000000..b4d2663 --- /dev/null +++ b/mt/al_matmul/al_matmul.c @@ -0,0 +1,273 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } +} + + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k, x; + data_t temp0, temp1, temp2, temp3, temp4, temp5, temp6, temp7; + data_t temp8, temp9, temp10, temp11, temp12, temp13, temp14, temp15; + + //complete Q1 + if(coreid == 0) { + for(j = 0; j < 32; j++) { + temp0 = C[j*lda]; + temp1 = C[1 + j*lda]; + temp2 = C[2 + j*lda]; + temp3 = C[3 + j*lda]; + temp4 = C[4 + j*lda]; + temp5 = C[5 + j*lda]; + temp6 = C[6 + j*lda]; + temp7 = C[7 + j*lda]; + temp8 = C[8 + j*lda]; + temp9 = C[9 + j*lda]; + temp10 = C[10 + j*lda]; + temp11 = C[11 + j*lda]; + temp12 = C[12 + j*lda]; + temp13 = C[13 + j*lda]; + temp14 = C[14 + j*lda]; + temp15 = C[15 + j*lda]; + for(k = 0; k < 32; k++) { + temp0 += A[j*lda + k] * B[k*lda]; + temp1 += A[j*lda + k] * B[1+k*lda]; + temp2 += A[j*lda + k] * B[2+k*lda]; + temp3 += A[j*lda + k] * B[3+k*lda]; + temp4 += A[j*lda + k] * B[4+k*lda]; + temp5 += A[j*lda + k] * B[5+k*lda]; + temp6 += A[j*lda + k] * B[6+k*lda]; + temp7 += A[j*lda + k] * B[7+k*lda]; + temp8 += A[j*lda + k] * B[8+k*lda]; + temp9 += A[j*lda + k] * B[9+k*lda]; + temp10 += A[j*lda + k] * B[10+k*lda]; + temp11 += A[j*lda + k] * B[11+k*lda]; + temp12 += A[j*lda + k] * B[12+k*lda]; + temp13 += A[j*lda + k] * B[13+k*lda]; + temp14 += A[j*lda + k] * B[14+k*lda]; + temp15 += A[j*lda + k] * B[15+k*lda]; + } + C[j*lda] = temp0; + C[1 + j*lda] = temp1; + C[2 + j*lda] = temp2; + C[3 + j*lda] = temp3; + C[4 + j*lda] = temp4; + C[5 + j*lda] = temp5; + C[6 + j*lda] = temp6; + C[7 + j*lda] = temp7; + C[8 + j*lda] = temp8; + C[9 + j*lda] = temp9; + C[10 + j*lda] = temp10; + C[11 + j*lda] = temp11; + C[12 + j*lda] = temp12; + C[13 + j*lda] = temp13; + C[14 + j*lda] = temp14; + C[15 + j*lda] = temp15; + } + } + + else { + for(j = 0; j < 32; j++) { + temp0 = C[16 + j*lda]; + temp1 = C[17 + j*lda]; + temp2 = C[18 + j*lda]; + temp3 = C[19 + j*lda]; + temp4 = C[20 + j*lda]; + temp5 = C[21 + j*lda]; + temp6 = C[22 + j*lda]; + temp7 = C[23 + j*lda]; + temp8 = C[24 + j*lda]; + temp9 = C[25 + j*lda]; + temp10 = C[26 + j*lda]; + temp11 = C[27 + j*lda]; + temp12 = C[28 + j*lda]; + temp13 = C[29 + j*lda]; + temp14 = C[30 + j*lda]; + temp15 = C[31 + j*lda]; + for(k = 0; k < 32; k++) { + temp0 += A[j*lda + k] * B[16 + k*lda]; + temp1 += A[j*lda + k] * B[17 + k*lda]; + temp2 += A[j*lda + k] * B[18 + k*lda]; + temp3 += A[j*lda + k] * B[19 + k*lda]; + temp4 += A[j*lda + k] * B[20 + k*lda]; + temp5 += A[j*lda + k] * B[21 + k*lda]; + temp6 += A[j*lda + k] * B[22 + k*lda]; + temp7 += A[j*lda + k] * B[23 + k*lda]; + temp8 += A[j*lda + k] * B[24 + k*lda]; + temp9 += A[j*lda + k] * B[25 + k*lda]; + temp10 += A[j*lda + k] * B[26 + k*lda]; + temp11 += A[j*lda + k] * B[27 + k*lda]; + temp12 += A[j*lda + k] * B[28 + k*lda]; + temp13 += A[j*lda + k] * B[29 + k*lda]; + temp14 += A[j*lda + k] * B[30 + k*lda]; + temp15 += A[j*lda + k] * B[31 + k*lda]; + } + C[16 + j*lda] = temp0; + C[17 + j*lda] = temp1; + C[18 + j*lda] = temp2; + C[19 + j*lda] = temp3; + C[20 + j*lda] = temp4; + C[21 + j*lda] = temp5; + C[22 + j*lda] = temp6; + C[23 + j*lda] = temp7; + C[24 + j*lda] = temp8; + C[25 + j*lda] = temp9; + C[26 + j*lda] = temp10; + C[27 + j*lda] = temp11; + C[28 + j*lda] = temp12; + C[29 + j*lda] = temp13; + C[30 + j*lda] = temp14; + C[31 + j*lda] = temp15; + } + } +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + +// // Execute the provided, naive matmul +// barrier(); +// stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); +// +// +// // verify +// verify(ARRAY_SIZE, results_data, verify_data); +// +// // clear results from the first trial +// size_t i; +// if (coreid == 0) +// for (i=0; i < ARRAY_SIZE; i++) +// results_data[i] = 0; +// barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/al_matmul/dataset.h b/mt/al_matmul/dataset.h new file mode 100755 index 0000000..dde3ee4 --- /dev/null +++ b/mt/al_matmul/dataset.h @@ -0,0 +1,174 @@ + +#define ARRAY_SIZE 1024 + + +#define DIM_SIZE 32 + +static data_t input1_data[ARRAY_SIZE] = +{ + 0, 3, 2, 0, 3, 1, 0, 3, 2, 3, 2, 0, 3, 3, 1, 2, 3, 0, 0, 1, + 1, 1, 2, 3, 1, 2, 3, 1, 1, 3, 2, 2, 0, 1, 3, 2, 2, 2, 0, 0, + 1, 0, 1, 3, 3, 0, 3, 3, 3, 3, 0, 3, 2, 1, 2, 2, 0, 0, 3, 0, + 1, 1, 0, 3, 3, 1, 2, 3, 3, 0, 1, 2, 1, 0, 1, 2, 2, 1, 0, 3, + 1, 0, 2, 2, 1, 1, 1, 1, 1, 1, 2, 0, 3, 1, 1, 2, 2, 3, 3, 1, + 3, 2, 0, 0, 0, 3, 3, 3, 2, 1, 2, 3, 1, 0, 0, 0, 0, 1, 2, 2, + 1, 1, 3, 3, 3, 1, 1, 2, 3, 1, 3, 3, 2, 3, 2, 1, 2, 3, 0, 2, + 2, 1, 1, 0, 0, 0, 0, 0, 1, 3, 3, 1, 1, 1, 2, 2, 3, 2, 1, 1, + 1, 1, 3, 0, 2, 2, 1, 3, 2, 1, 2, 2, 1, 3, 1, 3, 1, 3, 2, 3, + 1, 2, 1, 3, 2, 2, 0, 1, 0, 0, 1, 2, 3, 3, 1, 0, 0, 0, 3, 1, + 2, 3, 2, 3, 2, 0, 0, 0, 0, 0, 3, 1, 3, 0, 0, 0, 3, 1, 1, 1, + 1, 2, 1, 2, 3, 2, 0, 0, 2, 2, 3, 0, 3, 0, 0, 3, 0, 3, 1, 3, + 3, 1, 1, 1, 2, 2, 1, 3, 0, 3, 3, 1, 0, 0, 3, 2, 1, 3, 3, 3, + 1, 0, 1, 1, 2, 1, 0, 1, 1, 2, 2, 3, 1, 2, 2, 2, 0, 1, 3, 3, + 3, 2, 2, 1, 0, 1, 2, 0, 1, 1, 1, 1, 2, 3, 2, 2, 3, 3, 0, 0, + 2, 0, 0, 0, 3, 0, 1, 0, 3, 0, 0, 0, 3, 0, 0, 2, 0, 2, 0, 0, + 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 0, 2, 0, 0, 3, 3, 2, 3, 3, 0, + 1, 0, 2, 2, 0, 3, 3, 1, 1, 0, 2, 3, 2, 1, 1, 0, 1, 2, 1, 2, + 2, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 3, 3, 2, 0, 0, 1, 3, 0, 3, + 3, 0, 0, 0, 0, 3, 3, 1, 0, 0, 3, 3, 2, 1, 2, 1, 3, 3, 0, 1, + 3, 0, 2, 3, 1, 3, 3, 3, 3, 3, 0, 1, 1, 3, 0, 2, 2, 3, 1, 2, + 2, 2, 1, 3, 3, 0, 3, 0, 0, 2, 0, 2, 3, 0, 1, 3, 2, 2, 0, 0, + 2, 3, 0, 2, 2, 2, 3, 1, 0, 3, 3, 3, 3, 1, 0, 3, 3, 2, 0, 3, + 2, 0, 3, 0, 2, 0, 0, 2, 2, 1, 0, 2, 3, 1, 1, 1, 1, 2, 3, 3, + 3, 0, 0, 3, 3, 3, 2, 3, 3, 1, 2, 2, 3, 1, 2, 1, 1, 3, 0, 1, + 2, 0, 2, 0, 0, 1, 3, 2, 0, 1, 3, 2, 3, 3, 0, 0, 0, 1, 0, 3, + 3, 2, 2, 2, 1, 1, 2, 2, 1, 3, 2, 0, 1, 3, 2, 0, 2, 1, 3, 0, + 0, 0, 1, 3, 3, 2, 2, 2, 3, 1, 0, 0, 1, 1, 2, 1, 3, 1, 1, 2, + 2, 3, 2, 3, 0, 2, 3, 3, 0, 3, 0, 0, 1, 0, 0, 0, 1, 3, 1, 1, + 2, 3, 2, 1, 1, 2, 2, 2, 3, 0, 1, 1, 2, 1, 2, 0, 2, 3, 1, 3, + 0, 1, 1, 3, 0, 2, 3, 0, 1, 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 2, + 3, 0, 1, 1, 1, 1, 2, 0, 1, 2, 0, 1, 1, 1, 0, 1, 3, 2, 3, 1, + 0, 2, 1, 2, 1, 3, 3, 1, 0, 2, 2, 3, 1, 3, 1, 3, 0, 1, 0, 3, + 0, 3, 2, 0, 3, 3, 3, 0, 3, 2, 2, 2, 1, 3, 0, 0, 1, 1, 3, 0, + 1, 2, 1, 0, 0, 0, 3, 2, 2, 0, 0, 2, 1, 3, 0, 0, 3, 0, 0, 2, + 1, 1, 2, 2, 1, 3, 2, 2, 1, 1, 2, 1, 3, 2, 1, 1, 3, 0, 1, 3, + 3, 2, 2, 1, 0, 3, 2, 2, 2, 3, 0, 1, 3, 3, 2, 3, 0, 3, 2, 3, + 1, 1, 0, 0, 0, 2, 3, 0, 3, 0, 1, 1, 3, 1, 3, 2, 1, 1, 2, 1, + 3, 2, 0, 2, 1, 0, 2, 3, 2, 3, 2, 1, 2, 3, 0, 0, 1, 1, 0, 0, + 2, 1, 0, 1, 2, 2, 2, 2, 0, 3, 3, 1, 0, 0, 0, 0, 3, 1, 1, 0, + 0, 0, 0, 1, 2, 2, 1, 3, 0, 2, 3, 2, 3, 2, 2, 1, 2, 2, 3, 3, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 2, 2, 3, 1, 1, 1, 0, 0, 0, 3, 0, + 1, 0, 3, 1, 1, 3, 0, 1, 2, 2, 0, 0, 3, 3, 3, 3, 2, 1, 0, 0, + 1, 0, 2, 0, 1, 1, 0, 0, 3, 3, 2, 1, 1, 1, 0, 1, 1, 2, 2, 1, + 1, 2, 0, 3, 1, 3, 1, 0, 3, 0, 3, 1, 1, 1, 0, 2, 0, 3, 1, 0, + 1, 0, 2, 0, 2, 3, 3, 3, 1, 2, 3, 2, 2, 0, 1, 1, 0, 3, 3, 1, + 3, 3, 2, 0, 2, 0, 2, 2, 3, 3, 3, 0, 2, 3, 3, 1, 3, 2, 2, 2, + 0, 2, 3, 0, 2, 0, 3, 2, 2, 1, 1, 0, 2, 2, 2, 0, 2, 2, 0, 1, + 3, 2, 1, 3, 2, 2, 0, 3, 3, 1, 2, 2, 0, 0, 3, 2, 1, 2, 2, 1, + 3, 1, 2, 0, 0, 1, 1, 2, 1, 3, 2, 2, 3, 0, 2, 1, 3, 2, 1, 3, + 2, 3, 3, 1, 2, 1, 2, 2, 0, 0, 0, 3, 0, 2, 3, 1, 0, 0, 2, 3, + 3, 2, 2, 1 +}; + +static data_t input2_data[ARRAY_SIZE] = +{ + 1, 1, 0, 3, 1, 2, 0, 0, 0, 0, 0, 2, 1, 2, 3, 0, 0, 3, 3, 2, + 2, 1, 2, 3, 3, 0, 2, 2, 1, 1, 2, 2, 0, 2, 2, 1, 2, 3, 2, 2, + 3, 3, 2, 2, 1, 1, 1, 1, 2, 1, 2, 2, 3, 3, 3, 0, 0, 3, 2, 3, + 2, 3, 1, 2, 1, 1, 2, 2, 0, 1, 0, 3, 2, 1, 1, 1, 2, 0, 1, 2, + 2, 0, 2, 1, 3, 3, 2, 3, 2, 0, 3, 1, 3, 3, 2, 0, 1, 0, 1, 1, + 2, 2, 1, 1, 2, 2, 1, 2, 3, 3, 1, 3, 2, 2, 2, 3, 3, 1, 0, 2, + 1, 0, 0, 0, 1, 1, 2, 0, 3, 2, 3, 3, 0, 2, 3, 1, 0, 0, 2, 1, + 2, 0, 2, 1, 1, 2, 3, 1, 3, 2, 1, 0, 0, 0, 0, 0, 2, 2, 0, 2, + 1, 2, 0, 3, 2, 2, 0, 0, 3, 2, 1, 1, 3, 0, 2, 0, 0, 1, 0, 2, + 3, 3, 1, 3, 3, 0, 0, 2, 2, 0, 0, 0, 1, 0, 0, 1, 3, 0, 2, 1, + 3, 2, 2, 1, 3, 2, 0, 1, 2, 2, 3, 2, 1, 1, 1, 1, 3, 0, 1, 3, + 2, 2, 3, 1, 1, 2, 0, 2, 1, 1, 2, 3, 1, 0, 1, 0, 1, 1, 0, 0, + 2, 0, 3, 0, 3, 0, 3, 2, 2, 3, 3, 2, 1, 0, 2, 2, 1, 1, 0, 3, + 3, 2, 2, 0, 0, 3, 0, 1, 0, 0, 1, 2, 0, 1, 3, 0, 1, 2, 2, 0, + 0, 3, 0, 3, 0, 1, 1, 2, 0, 0, 0, 3, 0, 0, 2, 1, 1, 1, 0, 2, + 1, 3, 1, 2, 0, 3, 0, 3, 1, 3, 0, 0, 2, 2, 2, 2, 3, 3, 2, 1, + 2, 2, 1, 1, 2, 2, 2, 2, 0, 3, 0, 0, 2, 0, 1, 2, 0, 3, 2, 3, + 2, 0, 2, 1, 2, 1, 0, 2, 1, 1, 3, 2, 2, 3, 1, 0, 3, 3, 1, 0, + 3, 2, 2, 0, 0, 3, 0, 0, 2, 0, 3, 2, 3, 1, 1, 0, 0, 2, 3, 0, + 0, 1, 1, 1, 2, 1, 3, 2, 1, 3, 0, 1, 3, 3, 1, 1, 1, 1, 1, 1, + 0, 0, 2, 3, 2, 2, 2, 3, 2, 3, 1, 2, 3, 2, 2, 2, 0, 1, 3, 0, + 1, 1, 0, 1, 0, 1, 1, 3, 3, 1, 2, 2, 3, 2, 0, 2, 2, 0, 1, 3, + 0, 1, 3, 2, 1, 3, 3, 2, 0, 1, 3, 2, 0, 2, 1, 1, 0, 3, 0, 1, + 1, 1, 1, 1, 3, 0, 0, 1, 0, 2, 3, 1, 3, 0, 2, 1, 3, 0, 3, 0, + 3, 2, 2, 0, 0, 2, 1, 3, 3, 2, 3, 2, 2, 1, 2, 2, 3, 0, 3, 2, + 2, 0, 3, 2, 3, 2, 0, 0, 1, 2, 0, 0, 2, 0, 0, 3, 3, 2, 0, 0, + 3, 3, 0, 2, 3, 1, 0, 1, 0, 2, 1, 0, 2, 1, 0, 1, 0, 3, 0, 2, + 2, 3, 0, 0, 2, 1, 0, 1, 0, 0, 0, 2, 2, 3, 2, 0, 3, 3, 2, 1, + 0, 0, 3, 1, 2, 3, 3, 1, 0, 3, 1, 1, 0, 3, 3, 3, 2, 2, 2, 0, + 1, 2, 0, 3, 0, 1, 0, 1, 1, 0, 1, 2, 0, 3, 2, 0, 1, 2, 2, 0, + 2, 0, 0, 1, 0, 3, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 1, 1, 1, 0, + 2, 1, 1, 3, 2, 0, 2, 1, 1, 0, 2, 2, 1, 3, 0, 2, 1, 0, 1, 2, + 0, 1, 3, 2, 3, 2, 1, 0, 2, 0, 2, 2, 3, 1, 1, 3, 2, 3, 2, 2, + 0, 2, 0, 0, 0, 3, 2, 0, 2, 2, 3, 3, 3, 2, 1, 2, 0, 0, 3, 0, + 2, 0, 3, 2, 2, 3, 0, 3, 2, 1, 2, 2, 1, 2, 0, 0, 3, 1, 2, 0, + 2, 3, 2, 2, 1, 1, 1, 3, 3, 3, 3, 3, 1, 3, 0, 1, 3, 2, 2, 1, + 0, 1, 1, 2, 1, 2, 3, 1, 2, 2, 1, 2, 1, 1, 0, 3, 3, 1, 1, 3, + 2, 0, 0, 1, 2, 0, 1, 3, 1, 0, 0, 2, 2, 3, 3, 0, 2, 3, 2, 1, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 3, 3, 3, 1, 3, 0, 3, 1, 1, 2, 2, + 2, 1, 0, 3, 2, 3, 0, 2, 3, 2, 3, 1, 2, 3, 3, 1, 2, 1, 0, 0, + 0, 3, 3, 3, 3, 0, 3, 3, 3, 3, 2, 1, 0, 3, 0, 3, 2, 3, 1, 0, + 0, 1, 3, 1, 0, 2, 2, 3, 1, 0, 2, 1, 1, 3, 1, 1, 3, 1, 2, 1, + 0, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 3, 3, 1, 0, 3, 1, 1, 2, 0, + 0, 0, 2, 3, 3, 2, 2, 3, 0, 2, 3, 1, 3, 3, 0, 2, 1, 2, 2, 2, + 1, 0, 1, 3, 2, 3, 1, 1, 2, 1, 1, 0, 0, 2, 3, 2, 1, 0, 3, 1, + 3, 0, 1, 1, 2, 2, 1, 3, 3, 1, 1, 0, 0, 3, 3, 0, 0, 0, 0, 0, + 3, 1, 3, 0, 0, 0, 3, 3, 2, 1, 3, 0, 1, 3, 1, 1, 1, 0, 1, 0, + 1, 2, 2, 2, 3, 3, 0, 2, 3, 2, 1, 3, 3, 1, 1, 3, 0, 3, 3, 2, + 1, 1, 2, 0, 3, 0, 1, 2, 1, 1, 0, 0, 1, 2, 2, 0, 3, 1, 1, 1, + 3, 3, 3, 1, 0, 3, 3, 2, 2, 2, 1, 2, 0, 1, 1, 3, 0, 3, 1, 0, + 2, 2, 0, 1, 2, 3, 2, 1, 2, 0, 3, 2, 1, 3, 0, 1, 2, 0, 3, 0, + 1, 1, 2, 1 +}; + +static data_t verify_data[ARRAY_SIZE] = +{ + 72, 75, 88, 101, 80, 88, 73, 75, 80, 81, 58, 75, 86, 65, 60, 80, 84, 83, 87, 83, + 108, 93, 85, 76, 72, 98, 79, 86, 80, 96, 91, 85, 72, 64, 70, 83, 68, 92, 51, 54, + 85, 85, 60, 58, 90, 64, 55, 69, 72, 48, 94, 77, 91, 83, 70, 69, 67, 77, 59, 50, + 67, 74, 77, 67, 67, 62, 72, 71, 68, 79, 54, 61, 67, 61, 55, 62, 78, 60, 53, 64, + 67, 69, 99, 68, 88, 60, 66, 63, 70, 62, 65, 50, 53, 66, 70, 72, 75, 78, 85, 95, + 71, 89, 70, 68, 86, 88, 58, 77, 84, 70, 65, 68, 73, 75, 91, 96, 105, 92, 76, 68, + 86, 69, 80, 59, 73, 83, 88, 75, 64, 63, 71, 99, 77, 77, 69, 55, 80, 73, 54, 73, + 87, 78, 60, 69, 65, 78, 86, 89, 95, 92, 63, 69, 89, 61, 80, 65, 70, 77, 89, 77, + 79, 79, 73, 92, 64, 81, 60, 78, 81, 80, 61, 63, 89, 65, 56, 83, 77, 65, 102, 70, + 98, 86, 96, 68, 72, 89, 73, 73, 70, 89, 84, 76, 48, 61, 63, 70, 70, 79, 50, 53, + 64, 63, 43, 51, 59, 62, 43, 63, 55, 77, 79, 74, 75, 74, 64, 44, 65, 69, 72, 66, + 54, 71, 74, 72, 69, 76, 68, 89, 94, 75, 65, 53, 85, 79, 65, 74, 82, 73, 58, 70, + 84, 77, 99, 72, 92, 84, 78, 62, 59, 83, 71, 74, 63, 85, 80, 78, 71, 72, 79, 83, + 73, 82, 60, 85, 76, 82, 60, 70, 82, 68, 54, 85, 84, 70, 86, 74, 100, 88, 98, 68, + 67, 87, 69, 73, 68, 88, 76, 71, 47, 43, 47, 80, 54, 65, 40, 37, 59, 53, 33, 48, + 62, 40, 36, 55, 36, 62, 53, 57, 70, 69, 45, 43, 53, 61, 42, 57, 56, 63, 51, 47, + 59, 75, 64, 89, 83, 75, 59, 75, 91, 92, 58, 64, 83, 74, 58, 60, 76, 66, 97, 69, + 90, 95, 92, 64, 78, 75, 77, 73, 65, 78, 82, 75, 47, 54, 59, 71, 59, 56, 53, 42, + 60, 55, 40, 51, 60, 46, 36, 59, 46, 57, 67, 43, 51, 53, 53, 38, 54, 56, 55, 48, + 41, 46, 63, 63, 80, 77, 89, 102, 89, 98, 74, 86, 98, 93, 63, 76, 98, 77, 48, 101, + 86, 88, 100, 82, 102, 90, 95, 75, 86, 103, 83, 98, 80, 104, 98, 86, 71, 74, 80, 90, + 86, 87, 73, 70, 81, 83, 55, 66, 90, 66, 58, 84, 77, 84, 93, 72, 99, 75, 85, 65, + 70, 89, 71, 82, 64, 79, 82, 80, 67, 73, 86, 101, 78, 97, 66, 64, 84, 80, 55, 64, + 79, 73, 51, 79, 89, 68, 94, 77, 109, 102, 82, 61, 66, 93, 88, 70, 82, 82, 85, 69, + 69, 72, 66, 97, 85, 90, 70, 59, 76, 89, 53, 56, 90, 79, 71, 64, 70, 67, 100, 92, + 106, 89, 83, 78, 73, 80, 70, 72, 65, 70, 92, 88, 57, 76, 55, 85, 66, 80, 61, 63, + 63, 78, 54, 58, 71, 73, 54, 63, 63, 62, 89, 76, 86, 81, 83, 54, 70, 81, 78, 64, + 56, 72, 74, 81, 75, 63, 68, 89, 65, 77, 58, 68, 75, 83, 52, 62, 82, 63, 55, 75, + 51, 70, 95, 66, 83, 77, 86, 61, 64, 77, 48, 70, 66, 82, 72, 75, 79, 71, 72, 89, + 78, 78, 66, 59, 91, 80, 55, 64, 79, 68, 54, 71, 67, 75, 87, 84, 100, 101, 76, 58, + 74, 82, 61, 74, 75, 97, 85, 79, 61, 55, 69, 68, 72, 65, 52, 64, 80, 73, 48, 54, + 71, 66, 42, 61, 66, 63, 92, 64, 85, 77, 73, 54, 74, 73, 76, 66, 62, 79, 85, 70, + 71, 84, 87, 81, 88, 86, 77, 77, 93, 88, 78, 71, 101, 89, 58, 84, 95, 81, 89, 97, + 104, 79, 83, 76, 90, 81, 91, 74, 70, 76, 91, 80, 51, 48, 56, 69, 47, 63, 54, 42, + 63, 63, 42, 52, 66, 56, 39, 59, 61, 52, 59, 63, 62, 68, 57, 35, 67, 58, 56, 52, + 61, 63, 60, 47, 85, 75, 89, 106, 88, 95, 74, 82, 107, 107, 64, 78, 98, 90, 62, 91, + 79, 87, 111, 84, 104, 106, 96, 68, 94, 99, 81, 89, 79, 105, 95, 86, 65, 63, 77, 89, + 66, 88, 56, 73, 82, 92, 41, 62, 85, 66, 50, 81, 57, 71, 77, 78, 86, 89, 77, 53, + 67, 78, 61, 63, 72, 82, 69, 66, 59, 46, 55, 70, 56, 64, 45, 50, 65, 64, 42, 56, + 78, 49, 51, 52, 38, 56, 72, 55, 73, 72, 61, 50, 63, 60, 47, 57, 55, 73, 53, 68, + 85, 88, 91, 96, 82, 89, 73, 76, 87, 86, 67, 69, 96, 84, 57, 89, 87, 89, 99, 88, + 104, 90, 85, 75, 88, 92, 85, 75, 74, 87, 103, 94, 55, 48, 56, 65, 72, 50, 45, 51, + 63, 62, 47, 57, 79, 53, 36, 63, 54, 68, 71, 59, 63, 61, 63, 41, 50, 73, 57, 59, + 56, 76, 73, 65, 61, 64, 61, 79, 53, 73, 57, 44, 61, 59, 59, 56, 81, 59, 49, 62, + 65, 55, 69, 72, 79, 70, 58, 57, 68, 61, 62, 50, 57, 60, 66, 66, 63, 77, 81, 89, + 85, 81, 76, 73, 78, 95, 59, 70, 81, 77, 46, 79, 78, 79, 83, 81, 84, 82, 85, 48, + 74, 85, 85, 74, 74, 80, 80, 74, 60, 76, 80, 97, 88, 93, 66, 66, 73, 84, 56, 70, + 90, 63, 58, 78, 73, 93, 90, 78, 94, 88, 82, 67, 85, 70, 81, 86, 74, 82, 88, 82, + 68, 73, 75, 91, 78, 97, 71, 66, 74, 85, 50, 59, 86, 77, 70, 74, 75, 74, 99, 82, + 99, 91, 86, 65, 80, 77, 72, 69, 60, 78, 90, 87, 79, 69, 74, 98, 70, 86, 81, 67, + 69, 78, 48, 65, 88, 70, 70, 70, 69, 72, 96, 90, 99, 82, 81, 76, 98, 73, 74, 71, + 69, 73, 94, 89 +}; + diff --git a/mt/al_matmul/matmul_gendata.pl b/mt/al_matmul/matmul_gendata.pl new file mode 100755 index 0000000..f21bb46 --- /dev/null +++ b/mt/al_matmul/matmul_gendata.pl @@ -0,0 +1,200 @@ +#!/usr/bin/perl -w +#========================================================================== +# matmul_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the matmul benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: matmul_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[ARRAY_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3d",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + + + +#-------------------------------------------------------------------------- +# Matmul +#-------------------------------------------------------------------------- + +# http://answers.oreilly.com/topic/418-how-to-multiply-matrices-in-perl/ + +sub mmult { + my ($m1,$m2) = @_; + my ($m1rows,$m1cols) = matdim($m1); + my ($m2rows,$m2cols) = matdim($m2); + + my $result = [ ]; + my ($i, $j, $k); + + for $i (range($m1rows)) { + for $j (range($m2cols)) { + for $k (range($m1cols)) { + $result->[$i][$j] += $m1->[$i][$k] * $m2->[$k][$j]; + } + } + } + return $result; +} + +sub range { 0 .. ($_[0] - 1) } + + +sub veclen { + my $ary_ref = $_[0]; + my $type = ref $ary_ref; + if ($type ne "ARRAY") { die "$type is bad array ref for $ary_ref" } + return scalar(@$ary_ref); +} + +sub matdim { + my $matrix = $_[0]; + my $rows = veclen($matrix); + my $cols = veclen($matrix->[0]); + return ($rows, $cols); +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + # create random input arrays + my $mat_values1; + my $mat_values2; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + $mat_values1->[$i][$j] = int(rand(4)); + $mat_values2->[$i][$j] = int(rand(4)); + } + } + + # perform matmul + my $mat_results = mmult( $mat_values1, $mat_values2 ); + + # translate 2d arrays to 1d-somethings (I don't know how to code in perl - Chris) + my @values1; + my @values2; + my @results; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + my $value1 = $mat_values1->[$i][$j]; + my $value2 = $mat_values2->[$i][$j]; + my $result = $mat_results->[$i][$j]; + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @results, $result ); + } + } + + print "\n\#define ARRAY_SIZE ".($opts{"size"}*$opts{"size"})." \n\n"; + print "\n\#define DIM_SIZE ".$opts{"size"}." \n\n"; + + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@results); + +} + +main(); + diff --git a/mt/al_matmul/matmul_mi.c b/mt/al_matmul/matmul_mi.c new file mode 100644 index 0000000..47b0992 --- /dev/null +++ b/mt/al_matmul/matmul_mi.c @@ -0,0 +1,327 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + // feel free to make a separate function for MI and MSI versions. + int i, j, k, x; + data_t temp0, temp1, temp2, temp3, temp4, temp5, temp6, temp7; + data_t temp8, temp9, temp10, temp11, temp12, temp13, temp14, temp15; + + + if(coreid == 0) { + for(j = 0; j < 32; j++) { + temp0 = C[j*lda]; + temp1 = C[1 + j*lda]; + temp2 = C[2 + j*lda]; + temp3 = C[3 + j*lda]; + temp4 = C[4 + j*lda]; + temp5 = C[5 + j*lda]; + temp6 = C[6 + j*lda]; + temp7 = C[7 + j*lda]; + temp8 = C[8 + j*lda]; + temp9 = C[9 + j*lda]; + temp10 = C[10 + j*lda]; + temp11 = C[11 + j*lda]; + temp12 = C[12 + j*lda]; + temp13 = C[13 + j*lda]; + temp14 = C[14 + j*lda]; + temp15 = C[15 + j*lda]; + for(k = 0; k < 32; k++) { + temp0 += A[j*lda + k] * B[k*lda]; + temp1 += A[j*lda + k] * B[1 + k*lda]; + temp2 += A[j*lda + k] * B[2 + k*lda]; + temp3 += A[j*lda + k] * B[3 + k*lda]; + temp4 += A[j*lda + k] * B[4 + k*lda]; + temp5 += A[j*lda + k] * B[5 + k*lda]; + temp6 += A[j*lda + k] * B[6 + k*lda]; + temp7 += A[j*lda + k] * B[7 + k*lda]; + temp8 += A[j*lda + k] * B[8 + k*lda]; + temp9 += A[j*lda + k] * B[9 + k*lda]; + temp10 += A[j*lda + k] * B[10 + k*lda]; + temp11 += A[j*lda + k] * B[11 + k*lda]; + temp12 += A[j*lda + k] * B[12 + k*lda]; + temp13 += A[j*lda + k] * B[13 + k*lda]; + temp14 += A[j*lda + k] * B[14 + k*lda]; + temp15 += A[j*lda + k] * B[15 + k*lda]; + } + C[j*lda] = temp0; + C[1 + j*lda] = temp1; + C[2 + j*lda] = temp2; + C[3 + j*lda] = temp3; + C[4 + j*lda] = temp4; + C[5 + j*lda] = temp5; + C[6 + j*lda] = temp6; + C[7 + j*lda] = temp7; + C[8 + j*lda] = temp8; + C[9 + j*lda] = temp9; + C[10 + j*lda] = temp10; + C[11 + j*lda] = temp11; + C[12 + j*lda] = temp12; + C[13 + j*lda] = temp13; + C[14 + j*lda] = temp14; + C[15 + j*lda] = temp15; + } + } + + else { + for(j = 16; j < 32; j++) { + temp0 = C[16 + j*lda]; + temp1 = C[17 + j*lda]; + temp2 = C[18 + j*lda]; + temp3 = C[19 + j*lda]; + temp4 = C[20 + j*lda]; + temp5 = C[21 + j*lda]; + temp6 = C[22 + j*lda]; + temp7 = C[23 + j*lda]; + temp8 = C[24 + j*lda]; + temp9 = C[25 + j*lda]; + temp10 = C[26 + j*lda]; + temp11 = C[27 + j*lda]; + temp12 = C[28 + j*lda]; + temp13 = C[29 + j*lda]; + temp14 = C[30 + j*lda]; + temp15 = C[31 + j*lda]; + for(k = 0; k < 32; k++) { + temp0 += A[j*lda + k] * B[16 + k*lda]; + temp1 += A[j*lda + k] * B[17 + k*lda]; + temp2 += A[j*lda + k] * B[18 + k*lda]; + temp3 += A[j*lda + k] * B[19 + k*lda]; + temp4 += A[j*lda + k] * B[20 + k*lda]; + temp5 += A[j*lda + k] * B[21 + k*lda]; + temp6 += A[j*lda + k] * B[22 + k*lda]; + temp7 += A[j*lda + k] * B[23 + k*lda]; + temp8 += A[j*lda + k] * B[24 + k*lda]; + temp9 += A[j*lda + k] * B[25 + k*lda]; + temp10 += A[j*lda + k] * B[26 + k*lda]; + temp11 += A[j*lda + k] * B[27 + k*lda]; + temp12 += A[j*lda + k] * B[28 + k*lda]; + temp13 += A[j*lda + k] * B[29 + k*lda]; + temp14 += A[j*lda + k] * B[30 + k*lda]; + temp15 += A[j*lda + k] * B[31 + k*lda]; + } + C[16 + j*lda] = temp0; + C[17 + j*lda] = temp1; + C[18 + j*lda] = temp2; + C[19 + j*lda] = temp3; + C[20 + j*lda] = temp4; + C[21 + j*lda] = temp5; + C[22 + j*lda] = temp6; + C[23 + j*lda] = temp7; + C[24 + j*lda] = temp8; + C[25 + j*lda] = temp9; + C[26 + j*lda] = temp10; + C[27 + j*lda] = temp11; + C[28 + j*lda] = temp12; + C[29 + j*lda] = temp13; + C[30 + j*lda] = temp14; + C[31 + j*lda] = temp15; + } + for(j = 0; j <16; j++) { + temp0 = C[16 + j*lda]; + temp1 = C[17 + j*lda]; + temp2 = C[18 + j*lda]; + temp3 = C[19 + j*lda]; + temp4 = C[20 + j*lda]; + temp5 = C[21 + j*lda]; + temp6 = C[22 + j*lda]; + temp7 = C[23 + j*lda]; + temp8 = C[24 + j*lda]; + temp9 = C[25 + j*lda]; + temp10 = C[26 + j*lda]; + temp11 = C[27 + j*lda]; + temp12 = C[28 + j*lda]; + temp13 = C[29 + j*lda]; + temp14 = C[30 + j*lda]; + temp15 = C[31 + j*lda]; + for(k = 0; k < 32; k++) { + temp0 += A[j*lda + k] * B[16 + k*lda]; + temp1 += A[j*lda + k] * B[17 + k*lda]; + temp2 += A[j*lda + k] * B[18 + k*lda]; + temp3 += A[j*lda + k] * B[19 + k*lda]; + temp4 += A[j*lda + k] * B[20 + k*lda]; + temp5 += A[j*lda + k] * B[21 + k*lda]; + temp6 += A[j*lda + k] * B[22 + k*lda]; + temp7 += A[j*lda + k] * B[23 + k*lda]; + temp8 += A[j*lda + k] * B[24 + k*lda]; + temp9 += A[j*lda + k] * B[25 + k*lda]; + temp10 += A[j*lda + k] * B[26 + k*lda]; + temp11 += A[j*lda + k] * B[27 + k*lda]; + temp12 += A[j*lda + k] * B[28 + k*lda]; + temp13 += A[j*lda + k] * B[29 + k*lda]; + temp14 += A[j*lda + k] * B[30 + k*lda]; + temp15 += A[j*lda + k] * B[31 + k*lda]; + } + C[16 + j*lda] = temp0; + C[17 + j*lda] = temp1; + C[18 + j*lda] = temp2; + C[19 + j*lda] = temp3; + C[20 + j*lda] = temp4; + C[21 + j*lda] = temp5; + C[22 + j*lda] = temp6; + C[23 + j*lda] = temp7; + C[24 + j*lda] = temp8; + C[25 + j*lda] = temp9; + C[26 + j*lda] = temp10; + C[27 + j*lda] = temp11; + C[28 + j*lda] = temp12; + C[29 + j*lda] = temp13; + C[30 + j*lda] = temp14; + C[31 + j*lda] = temp15; + } + } +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + +// // Execute the provided, naive matmul +// barrier(); +// stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); +// +// +// // verify +// verify(ARRAY_SIZE, results_data, verify_data); +// +// // clear results from the first trial +// size_t i; +// if (coreid == 0) +// for (i=0; i < ARRAY_SIZE; i++) +// results_data[i] = 0; +// barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/al_vvadd/al_vvadd.c b/mt/al_vvadd/al_vvadd.c new file mode 100755 index 0000000..2319f5b --- /dev/null +++ b/mt/al_vvadd/al_vvadd.c @@ -0,0 +1,173 @@ +//************************************************************************** +// Vector-vector add benchmark +//-------------------------------------------------------------------------- +// Author : Andrew Waterman +// TA : Christopher Celio +// Student : +// +// This benchmark adds two vectors and writes the results to a +// third vector. The input data (and reference data) should be +// generated using the vvadd_gendata.pl perl script and dumped +// to a file named dataset.h + +// to print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DATA_SIZE, 10*_c/DATA_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %4ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %4ld, correct[%d]= %4ld\n", + i, (long) test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// vvadd function + +//perform in-place vvadd +void __attribute__((noinline)) vvadd(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + size_t i; + + // interleave accesses + for (i = coreid; i < n; i+=ncores) + { + x[i] = x[i] + y[i]; + } +} + +void __attribute__((noinline)) vvadd_opt(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + size_t start, end, i; + start = (coreid == 0) ? 0 : n/2; + end = (coreid == 0) ? n/2 : n; + + for (i = start; i < end; i++) + { + x[i] = x[i] + y[i]; + } +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[DATA_SIZE]; + + // because we're going to perform an in-place vvadd (and we're going to run + // it a couple of times) let's copy the input data to a temporary results + // array + + size_t i; + if (coreid == 0) + { + for (i = 0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + + + // Execute the provided, terrible vvadd + barrier(); + stats(vvadd(DATA_SIZE, results_data, input2_data); barrier()); + + + // verify + verify(DATA_SIZE, results_data, verify_data); + + // reset results from the first trial + if (coreid == 0) + { + for (i=0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + barrier(); + + + // Execute your faster vvadd + barrier(); + stats(vvadd_opt(DATA_SIZE, results_data, input2_data); barrier()); + +#ifdef DEBUG + printArray("results: ", DATA_SIZE, results_data); + printArray("verify : ", DATA_SIZE, verify_data); +#endif + + // verify + verify(DATA_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/al_vvadd/dataset.h b/mt/al_vvadd/dataset.h new file mode 100755 index 0000000..ce9f936 --- /dev/null +++ b/mt/al_vvadd/dataset.h @@ -0,0 +1,165 @@ + +#define DATA_SIZE 1000 + +static data_t input1_data[DATA_SIZE] = +{ + 0.00, 15.00, 10.00, 3.00, 14.00, 6.00, 2.00, 18.00, 11.00, 15.00, 11.00, 0.00, 17.00, 16.00, 7.00, 13.00, 18.00, 2.00, 2.00, 5.00, + 8.00, 5.00, 12.00, 14.00, 6.00, 12.00, 16.00, 7.00, 9.00, 17.00, 10.00, 10.00, 3.00, 5.00, 14.00, 11.00, 9.00, 12.00, 3.00, 1.00, + 5.00, 4.00, 6.00, 17.00, 17.00, 4.00, 17.00, 15.00, 17.00, 18.00, 3.00, 18.00, 10.00, 6.00, 12.00, 12.00, 3.00, 2.00, 16.00, 1.00, + 5.00, 6.00, 2.00, 17.00, 16.00, 5.00, 10.00, 18.00, 14.00, 4.00, 9.00, 9.00, 7.00, 4.00, 8.00, 13.00, 12.00, 6.00, 4.00, 17.00, + 5.00, 2.00, 11.00, 11.00, 7.00, 6.00, 8.00, 5.00, 6.00, 6.00, 11.00, 1.00, 18.00, 7.00, 6.00, 9.00, 10.00, 17.00, 14.00, 4.00, + 14.00, 11.00, 2.00, 0.00, 2.00, 17.00, 17.00, 15.00, 10.00, 8.00, 12.00, 18.00, 5.00, 0.00, 0.00, 1.00, 1.00, 8.00, 11.00, 11.00, + 7.00, 5.00, 15.00, 18.00, 15.00, 6.00, 8.00, 9.00, 18.00, 6.00, 15.00, 16.00, 10.00, 18.00, 13.00, 6.00, 10.00, 16.00, 0.00, 10.00, + 12.00, 8.00, 8.00, 3.00, 0.00, 1.00, 4.00, 0.00, 8.00, 15.00, 16.00, 9.00, 7.00, 7.00, 10.00, 9.00, 16.00, 12.00, 5.00, 5.00, + 9.00, 5.00, 17.00, 4.00, 13.00, 13.00, 4.00, 14.00, 10.00, 5.00, 10.00, 10.00, 6.00, 18.00, 5.00, 15.00, 5.00, 15.00, 13.00, 18.00, + 6.00, 13.00, 5.00, 18.00, 12.00, 14.00, 1.00, 7.00, 2.00, 1.00, 7.00, 12.00, 15.00, 15.00, 6.00, 2.00, 1.00, 2.00, 18.00, 6.00, + 10.00, 14.00, 9.00, 15.00, 11.00, 0.00, 3.00, 1.00, 2.00, 2.00, 14.00, 7.00, 18.00, 0.00, 2.00, 2.00, 16.00, 8.00, 4.00, 5.00, + 7.00, 11.00, 7.00, 10.00, 14.00, 10.00, 3.00, 0.00, 13.00, 9.00, 14.00, 0.00, 14.00, 1.00, 3.00, 16.00, 2.00, 14.00, 6.00, 17.00, + 17.00, 6.00, 9.00, 8.00, 9.00, 12.00, 5.00, 14.00, 2.00, 16.00, 17.00, 5.00, 4.00, 0.00, 14.00, 10.00, 6.00, 15.00, 15.00, 14.00, + 5.00, 1.00, 8.00, 8.00, 13.00, 8.00, 0.00, 4.00, 7.00, 9.00, 13.00, 16.00, 9.00, 14.00, 9.00, 13.00, 0.00, 7.00, 16.00, 17.00, + 18.00, 10.00, 13.00, 8.00, 4.00, 9.00, 13.00, 0.00, 6.00, 4.00, 6.00, 4.00, 10.00, 14.00, 14.00, 9.00, 15.00, 15.00, 3.00, 3.00, + 12.00, 0.00, 3.00, 2.00, 16.00, 1.00, 7.00, 2.00, 16.00, 2.00, 2.00, 0.00, 14.00, 3.00, 3.00, 10.00, 4.00, 10.00, 3.00, 4.00, + 13.00, 14.00, 13.00, 0.00, 1.00, 15.00, 16.00, 9.00, 7.00, 9.00, 0.00, 11.00, 1.00, 1.00, 15.00, 17.00, 12.00, 16.00, 15.00, 4.00, + 8.00, 2.00, 10.00, 10.00, 0.00, 18.00, 17.00, 7.00, 7.00, 2.00, 10.00, 17.00, 9.00, 7.00, 5.00, 3.00, 8.00, 11.00, 6.00, 9.00, + 13.00, 0.00, 3.00, 5.00, 2.00, 5.00, 7.00, 4.00, 9.00, 2.00, 13.00, 17.00, 14.00, 12.00, 1.00, 3.00, 7.00, 17.00, 0.00, 14.00, + 16.00, 2.00, 2.00, 1.00, 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vvadd_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the vvadd benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: vvadd_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[DATA_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3.2f",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + my @values1; + my @values2; + my @sum; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + my $value1 = int(rand(19)); + my $value2 = int(rand(19)); + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @sum, $value1 + $value2 ); + } + + + print "\n\#define DATA_SIZE ".$opts{"size"}." \n\n"; + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@sum ); + +} + +main(); + diff --git a/mt/am_matmul/am_matmul.c b/mt/am_matmul/am_matmul.c new file mode 100755 index 0000000..7fe737b --- /dev/null +++ b/mt/am_matmul/am_matmul.c @@ -0,0 +1,216 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + size_t i, j, k, l; + int row,row2, column, column2, column3, column4, column5, column6, column7, column8; + size_t max_dim = 32*32; + data_t element, element2, element3, element4, element5, element6, element7, element8; + data_t temp_mat[32]={0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + data_t temp_mat2[32]={0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + //for (i=coreid*max_dim/ncores; i<(max_dim/ncores+coreid*max_dim/ncores); i+=8){ + for (l=coreid*32/ncores; l<32*(1+coreid)/ncores; l+=2){ + row=l*32; + row2=(l+1)*32; + for (i=0; i<lda; i+=4){ + element = A[row+i]; + element2 = A[row+i+1]; + element3 = A[row+i+2]; + element4 = A[row+i+3]; + element5 = A[row2+i]; + element6 = A[row2+i+1]; + element7 = A[row2+i+2]; + element8 = A[row2+i+3]; + column=i*32; + column2=(i+1)*32; + column3=(i+2)*32; + column4=(i+3)*32; + for (j=0; j<32; j+=4){ + temp_mat[j]+=element*B[column+j]+element2*B[column2+j]+element3*B[column3+j]+element4*B[column4+j]; + temp_mat[j+1]+=element*B[column+j+1]+element2*B[column2+j+1]+element3*B[column3+j+1]+element4*B[column4+j+1]; + temp_mat[j+2]+=element*B[column+j+2]+element2*B[column2+j+2]+element3*B[column3+j+2]+element4*B[column4+j+2]; + temp_mat[j+3]+=element*B[column+j+3]+element2*B[column2+j+3]+element3*B[column3+j+3]+element4*B[column4+j+3]; + temp_mat2[j]+=element5*B[column+j]+element6*B[column2+j]+element7*B[column3+j]+element8*B[column4+j]; + temp_mat2[j+1]+=element5*B[column+j+1]+element6*B[column2+j+1]+element7*B[column3+j+1]+element8*B[column4+j+1]; + temp_mat2[j+2]+=element5*B[column+j+2]+element6*B[column2+j+2]+element7*B[column3+j+2]+element8*B[column4+j+2]; + temp_mat2[j+3]+=element5*B[column+j+3]+element6*B[column2+j+3]+element7*B[column3+j+3]+element8*B[column4+j+3]; + } + /*if (i==28){ + for(k=0; k<32; k++){ + C[row+k]=temp_mat[k]; + C[row2+k]=temp_mat2[k]; + temp_mat[k]=0; + temp_mat2[k]=0; + } + }*/ + } + for(k=0; k<32; k++){ + C[row+k]=temp_mat[k]; + C[row2+k]=temp_mat2[k]; + temp_mat[k]=0; + temp_mat2[k]=0; + } + } + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + +// // Execute the provided, naive matmul +// barrier(); +// stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); +// +// +// // verify +// verify(ARRAY_SIZE, results_data, verify_data); +// +// // clear results from the first trial +// size_t i; +// if (coreid == 0) +// for (i=0; i < ARRAY_SIZE; i++) +// results_data[i] = 0; +// barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/am_matmul/dataset.h b/mt/am_matmul/dataset.h new file mode 100755 index 0000000..dde3ee4 --- /dev/null +++ b/mt/am_matmul/dataset.h @@ -0,0 +1,174 @@ + +#define ARRAY_SIZE 1024 + + +#define DIM_SIZE 32 + +static data_t input1_data[ARRAY_SIZE] = +{ + 0, 3, 2, 0, 3, 1, 0, 3, 2, 3, 2, 0, 3, 3, 1, 2, 3, 0, 0, 1, + 1, 1, 2, 3, 1, 2, 3, 1, 1, 3, 2, 2, 0, 1, 3, 2, 2, 2, 0, 0, + 1, 0, 1, 3, 3, 0, 3, 3, 3, 3, 0, 3, 2, 1, 2, 2, 0, 0, 3, 0, + 1, 1, 0, 3, 3, 1, 2, 3, 3, 0, 1, 2, 1, 0, 1, 2, 2, 1, 0, 3, + 1, 0, 2, 2, 1, 1, 1, 1, 1, 1, 2, 0, 3, 1, 1, 2, 2, 3, 3, 1, + 3, 2, 0, 0, 0, 3, 3, 3, 2, 1, 2, 3, 1, 0, 0, 0, 0, 1, 2, 2, + 1, 1, 3, 3, 3, 1, 1, 2, 3, 1, 3, 3, 2, 3, 2, 1, 2, 3, 0, 2, + 2, 1, 1, 0, 0, 0, 0, 0, 1, 3, 3, 1, 1, 1, 2, 2, 3, 2, 1, 1, + 1, 1, 3, 0, 2, 2, 1, 3, 2, 1, 2, 2, 1, 3, 1, 3, 1, 3, 2, 3, + 1, 2, 1, 3, 2, 2, 0, 1, 0, 0, 1, 2, 3, 3, 1, 0, 0, 0, 3, 1, + 2, 3, 2, 3, 2, 0, 0, 0, 0, 0, 3, 1, 3, 0, 0, 0, 3, 1, 1, 1, + 1, 2, 1, 2, 3, 2, 0, 0, 2, 2, 3, 0, 3, 0, 0, 3, 0, 3, 1, 3, + 3, 1, 1, 1, 2, 2, 1, 3, 0, 3, 3, 1, 0, 0, 3, 2, 1, 3, 3, 3, + 1, 0, 1, 1, 2, 1, 0, 1, 1, 2, 2, 3, 1, 2, 2, 2, 0, 1, 3, 3, + 3, 2, 2, 1, 0, 1, 2, 0, 1, 1, 1, 1, 2, 3, 2, 2, 3, 3, 0, 0, + 2, 0, 0, 0, 3, 0, 1, 0, 3, 0, 0, 0, 3, 0, 0, 2, 0, 2, 0, 0, + 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 0, 2, 0, 0, 3, 3, 2, 3, 3, 0, + 1, 0, 2, 2, 0, 3, 3, 1, 1, 0, 2, 3, 2, 1, 1, 0, 1, 2, 1, 2, + 2, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 3, 3, 2, 0, 0, 1, 3, 0, 3, + 3, 0, 0, 0, 0, 3, 3, 1, 0, 0, 3, 3, 2, 1, 2, 1, 3, 3, 0, 1, + 3, 0, 2, 3, 1, 3, 3, 3, 3, 3, 0, 1, 1, 3, 0, 2, 2, 3, 1, 2, + 2, 2, 1, 3, 3, 0, 3, 0, 0, 2, 0, 2, 3, 0, 1, 3, 2, 2, 0, 0, + 2, 3, 0, 2, 2, 2, 3, 1, 0, 3, 3, 3, 3, 1, 0, 3, 3, 2, 0, 3, + 2, 0, 3, 0, 2, 0, 0, 2, 2, 1, 0, 2, 3, 1, 1, 1, 1, 2, 3, 3, + 3, 0, 0, 3, 3, 3, 2, 3, 3, 1, 2, 2, 3, 1, 2, 1, 1, 3, 0, 1, + 2, 0, 2, 0, 0, 1, 3, 2, 0, 1, 3, 2, 3, 3, 0, 0, 0, 1, 0, 3, + 3, 2, 2, 2, 1, 1, 2, 2, 1, 3, 2, 0, 1, 3, 2, 0, 2, 1, 3, 0, + 0, 0, 1, 3, 3, 2, 2, 2, 3, 1, 0, 0, 1, 1, 2, 1, 3, 1, 1, 2, + 2, 3, 2, 3, 0, 2, 3, 3, 0, 3, 0, 0, 1, 0, 0, 0, 1, 3, 1, 1, + 2, 3, 2, 1, 1, 2, 2, 2, 3, 0, 1, 1, 2, 1, 2, 0, 2, 3, 1, 3, + 0, 1, 1, 3, 0, 2, 3, 0, 1, 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 2, + 3, 0, 1, 1, 1, 1, 2, 0, 1, 2, 0, 1, 1, 1, 0, 1, 3, 2, 3, 1, + 0, 2, 1, 2, 1, 3, 3, 1, 0, 2, 2, 3, 1, 3, 1, 3, 0, 1, 0, 3, + 0, 3, 2, 0, 3, 3, 3, 0, 3, 2, 2, 2, 1, 3, 0, 0, 1, 1, 3, 0, + 1, 2, 1, 0, 0, 0, 3, 2, 2, 0, 0, 2, 1, 3, 0, 0, 3, 0, 0, 2, + 1, 1, 2, 2, 1, 3, 2, 2, 1, 1, 2, 1, 3, 2, 1, 1, 3, 0, 1, 3, + 3, 2, 2, 1, 0, 3, 2, 2, 2, 3, 0, 1, 3, 3, 2, 3, 0, 3, 2, 3, + 1, 1, 0, 0, 0, 2, 3, 0, 3, 0, 1, 1, 3, 1, 3, 2, 1, 1, 2, 1, + 3, 2, 0, 2, 1, 0, 2, 3, 2, 3, 2, 1, 2, 3, 0, 0, 1, 1, 0, 0, + 2, 1, 0, 1, 2, 2, 2, 2, 0, 3, 3, 1, 0, 0, 0, 0, 3, 1, 1, 0, + 0, 0, 0, 1, 2, 2, 1, 3, 0, 2, 3, 2, 3, 2, 2, 1, 2, 2, 3, 3, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 2, 2, 3, 1, 1, 1, 0, 0, 0, 3, 0, + 1, 0, 3, 1, 1, 3, 0, 1, 2, 2, 0, 0, 3, 3, 3, 3, 2, 1, 0, 0, + 1, 0, 2, 0, 1, 1, 0, 0, 3, 3, 2, 1, 1, 1, 0, 1, 1, 2, 2, 1, + 1, 2, 0, 3, 1, 3, 1, 0, 3, 0, 3, 1, 1, 1, 0, 2, 0, 3, 1, 0, + 1, 0, 2, 0, 2, 3, 3, 3, 1, 2, 3, 2, 2, 0, 1, 1, 0, 3, 3, 1, + 3, 3, 2, 0, 2, 0, 2, 2, 3, 3, 3, 0, 2, 3, 3, 1, 3, 2, 2, 2, + 0, 2, 3, 0, 2, 0, 3, 2, 2, 1, 1, 0, 2, 2, 2, 0, 2, 2, 0, 1, + 3, 2, 1, 3, 2, 2, 0, 3, 3, 1, 2, 2, 0, 0, 3, 2, 1, 2, 2, 1, + 3, 1, 2, 0, 0, 1, 1, 2, 1, 3, 2, 2, 3, 0, 2, 1, 3, 2, 1, 3, + 2, 3, 3, 1, 2, 1, 2, 2, 0, 0, 0, 3, 0, 2, 3, 1, 0, 0, 2, 3, + 3, 2, 2, 1 +}; + +static data_t input2_data[ARRAY_SIZE] = +{ + 1, 1, 0, 3, 1, 2, 0, 0, 0, 0, 0, 2, 1, 2, 3, 0, 0, 3, 3, 2, + 2, 1, 2, 3, 3, 0, 2, 2, 1, 1, 2, 2, 0, 2, 2, 1, 2, 3, 2, 2, + 3, 3, 2, 2, 1, 1, 1, 1, 2, 1, 2, 2, 3, 3, 3, 0, 0, 3, 2, 3, + 2, 3, 1, 2, 1, 1, 2, 2, 0, 1, 0, 3, 2, 1, 1, 1, 2, 0, 1, 2, + 2, 0, 2, 1, 3, 3, 2, 3, 2, 0, 3, 1, 3, 3, 2, 0, 1, 0, 1, 1, + 2, 2, 1, 1, 2, 2, 1, 2, 3, 3, 1, 3, 2, 2, 2, 3, 3, 1, 0, 2, + 1, 0, 0, 0, 1, 1, 2, 0, 3, 2, 3, 3, 0, 2, 3, 1, 0, 0, 2, 1, + 2, 0, 2, 1, 1, 2, 3, 1, 3, 2, 1, 0, 0, 0, 0, 0, 2, 2, 0, 2, + 1, 2, 0, 3, 2, 2, 0, 0, 3, 2, 1, 1, 3, 0, 2, 0, 0, 1, 0, 2, + 3, 3, 1, 3, 3, 0, 0, 2, 2, 0, 0, 0, 1, 0, 0, 1, 3, 0, 2, 1, + 3, 2, 2, 1, 3, 2, 0, 1, 2, 2, 3, 2, 1, 1, 1, 1, 3, 0, 1, 3, + 2, 2, 3, 1, 1, 2, 0, 2, 1, 1, 2, 3, 1, 0, 1, 0, 1, 1, 0, 0, + 2, 0, 3, 0, 3, 0, 3, 2, 2, 3, 3, 2, 1, 0, 2, 2, 1, 1, 0, 3, + 3, 2, 2, 0, 0, 3, 0, 1, 0, 0, 1, 2, 0, 1, 3, 0, 1, 2, 2, 0, + 0, 3, 0, 3, 0, 1, 1, 2, 0, 0, 0, 3, 0, 0, 2, 1, 1, 1, 0, 2, + 1, 3, 1, 2, 0, 3, 0, 3, 1, 3, 0, 0, 2, 2, 2, 2, 3, 3, 2, 1, + 2, 2, 1, 1, 2, 2, 2, 2, 0, 3, 0, 0, 2, 0, 1, 2, 0, 3, 2, 3, + 2, 0, 2, 1, 2, 1, 0, 2, 1, 1, 3, 2, 2, 3, 1, 0, 3, 3, 1, 0, + 3, 2, 2, 0, 0, 3, 0, 0, 2, 0, 3, 2, 3, 1, 1, 0, 0, 2, 3, 0, + 0, 1, 1, 1, 2, 1, 3, 2, 1, 3, 0, 1, 3, 3, 1, 1, 1, 1, 1, 1, + 0, 0, 2, 3, 2, 2, 2, 3, 2, 3, 1, 2, 3, 2, 2, 2, 0, 1, 3, 0, + 1, 1, 0, 1, 0, 1, 1, 3, 3, 1, 2, 2, 3, 2, 0, 2, 2, 0, 1, 3, + 0, 1, 3, 2, 1, 3, 3, 2, 0, 1, 3, 2, 0, 2, 1, 1, 0, 3, 0, 1, + 1, 1, 1, 1, 3, 0, 0, 1, 0, 2, 3, 1, 3, 0, 2, 1, 3, 0, 3, 0, + 3, 2, 2, 0, 0, 2, 1, 3, 3, 2, 3, 2, 2, 1, 2, 2, 3, 0, 3, 2, + 2, 0, 3, 2, 3, 2, 0, 0, 1, 2, 0, 0, 2, 0, 0, 3, 3, 2, 0, 0, + 3, 3, 0, 2, 3, 1, 0, 1, 0, 2, 1, 0, 2, 1, 0, 1, 0, 3, 0, 2, + 2, 3, 0, 0, 2, 1, 0, 1, 0, 0, 0, 2, 2, 3, 2, 0, 3, 3, 2, 1, + 0, 0, 3, 1, 2, 3, 3, 1, 0, 3, 1, 1, 0, 3, 3, 3, 2, 2, 2, 0, + 1, 2, 0, 3, 0, 1, 0, 1, 1, 0, 1, 2, 0, 3, 2, 0, 1, 2, 2, 0, + 2, 0, 0, 1, 0, 3, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 1, 1, 1, 0, + 2, 1, 1, 3, 2, 0, 2, 1, 1, 0, 2, 2, 1, 3, 0, 2, 1, 0, 1, 2, + 0, 1, 3, 2, 3, 2, 1, 0, 2, 0, 2, 2, 3, 1, 1, 3, 2, 3, 2, 2, + 0, 2, 0, 0, 0, 3, 2, 0, 2, 2, 3, 3, 3, 2, 1, 2, 0, 0, 3, 0, + 2, 0, 3, 2, 2, 3, 0, 3, 2, 1, 2, 2, 1, 2, 0, 0, 3, 1, 2, 0, + 2, 3, 2, 2, 1, 1, 1, 3, 3, 3, 3, 3, 1, 3, 0, 1, 3, 2, 2, 1, + 0, 1, 1, 2, 1, 2, 3, 1, 2, 2, 1, 2, 1, 1, 0, 3, 3, 1, 1, 3, + 2, 0, 0, 1, 2, 0, 1, 3, 1, 0, 0, 2, 2, 3, 3, 0, 2, 3, 2, 1, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 3, 3, 3, 1, 3, 0, 3, 1, 1, 2, 2, + 2, 1, 0, 3, 2, 3, 0, 2, 3, 2, 3, 1, 2, 3, 3, 1, 2, 1, 0, 0, + 0, 3, 3, 3, 3, 0, 3, 3, 3, 3, 2, 1, 0, 3, 0, 3, 2, 3, 1, 0, + 0, 1, 3, 1, 0, 2, 2, 3, 1, 0, 2, 1, 1, 3, 1, 1, 3, 1, 2, 1, + 0, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 3, 3, 1, 0, 3, 1, 1, 2, 0, + 0, 0, 2, 3, 3, 2, 2, 3, 0, 2, 3, 1, 3, 3, 0, 2, 1, 2, 2, 2, + 1, 0, 1, 3, 2, 3, 1, 1, 2, 1, 1, 0, 0, 2, 3, 2, 1, 0, 3, 1, + 3, 0, 1, 1, 2, 2, 1, 3, 3, 1, 1, 0, 0, 3, 3, 0, 0, 0, 0, 0, + 3, 1, 3, 0, 0, 0, 3, 3, 2, 1, 3, 0, 1, 3, 1, 1, 1, 0, 1, 0, + 1, 2, 2, 2, 3, 3, 0, 2, 3, 2, 1, 3, 3, 1, 1, 3, 0, 3, 3, 2, + 1, 1, 2, 0, 3, 0, 1, 2, 1, 1, 0, 0, 1, 2, 2, 0, 3, 1, 1, 1, + 3, 3, 3, 1, 0, 3, 3, 2, 2, 2, 1, 2, 0, 1, 1, 3, 0, 3, 1, 0, + 2, 2, 0, 1, 2, 3, 2, 1, 2, 0, 3, 2, 1, 3, 0, 1, 2, 0, 3, 0, + 1, 1, 2, 1 +}; + +static data_t verify_data[ARRAY_SIZE] = +{ + 72, 75, 88, 101, 80, 88, 73, 75, 80, 81, 58, 75, 86, 65, 60, 80, 84, 83, 87, 83, + 108, 93, 85, 76, 72, 98, 79, 86, 80, 96, 91, 85, 72, 64, 70, 83, 68, 92, 51, 54, + 85, 85, 60, 58, 90, 64, 55, 69, 72, 48, 94, 77, 91, 83, 70, 69, 67, 77, 59, 50, + 67, 74, 77, 67, 67, 62, 72, 71, 68, 79, 54, 61, 67, 61, 55, 62, 78, 60, 53, 64, + 67, 69, 99, 68, 88, 60, 66, 63, 70, 62, 65, 50, 53, 66, 70, 72, 75, 78, 85, 95, + 71, 89, 70, 68, 86, 88, 58, 77, 84, 70, 65, 68, 73, 75, 91, 96, 105, 92, 76, 68, + 86, 69, 80, 59, 73, 83, 88, 75, 64, 63, 71, 99, 77, 77, 69, 55, 80, 73, 54, 73, + 87, 78, 60, 69, 65, 78, 86, 89, 95, 92, 63, 69, 89, 61, 80, 65, 70, 77, 89, 77, + 79, 79, 73, 92, 64, 81, 60, 78, 81, 80, 61, 63, 89, 65, 56, 83, 77, 65, 102, 70, + 98, 86, 96, 68, 72, 89, 73, 73, 70, 89, 84, 76, 48, 61, 63, 70, 70, 79, 50, 53, + 64, 63, 43, 51, 59, 62, 43, 63, 55, 77, 79, 74, 75, 74, 64, 44, 65, 69, 72, 66, + 54, 71, 74, 72, 69, 76, 68, 89, 94, 75, 65, 53, 85, 79, 65, 74, 82, 73, 58, 70, + 84, 77, 99, 72, 92, 84, 78, 62, 59, 83, 71, 74, 63, 85, 80, 78, 71, 72, 79, 83, + 73, 82, 60, 85, 76, 82, 60, 70, 82, 68, 54, 85, 84, 70, 86, 74, 100, 88, 98, 68, + 67, 87, 69, 73, 68, 88, 76, 71, 47, 43, 47, 80, 54, 65, 40, 37, 59, 53, 33, 48, + 62, 40, 36, 55, 36, 62, 53, 57, 70, 69, 45, 43, 53, 61, 42, 57, 56, 63, 51, 47, + 59, 75, 64, 89, 83, 75, 59, 75, 91, 92, 58, 64, 83, 74, 58, 60, 76, 66, 97, 69, + 90, 95, 92, 64, 78, 75, 77, 73, 65, 78, 82, 75, 47, 54, 59, 71, 59, 56, 53, 42, + 60, 55, 40, 51, 60, 46, 36, 59, 46, 57, 67, 43, 51, 53, 53, 38, 54, 56, 55, 48, + 41, 46, 63, 63, 80, 77, 89, 102, 89, 98, 74, 86, 98, 93, 63, 76, 98, 77, 48, 101, + 86, 88, 100, 82, 102, 90, 95, 75, 86, 103, 83, 98, 80, 104, 98, 86, 71, 74, 80, 90, + 86, 87, 73, 70, 81, 83, 55, 66, 90, 66, 58, 84, 77, 84, 93, 72, 99, 75, 85, 65, + 70, 89, 71, 82, 64, 79, 82, 80, 67, 73, 86, 101, 78, 97, 66, 64, 84, 80, 55, 64, + 79, 73, 51, 79, 89, 68, 94, 77, 109, 102, 82, 61, 66, 93, 88, 70, 82, 82, 85, 69, + 69, 72, 66, 97, 85, 90, 70, 59, 76, 89, 53, 56, 90, 79, 71, 64, 70, 67, 100, 92, + 106, 89, 83, 78, 73, 80, 70, 72, 65, 70, 92, 88, 57, 76, 55, 85, 66, 80, 61, 63, + 63, 78, 54, 58, 71, 73, 54, 63, 63, 62, 89, 76, 86, 81, 83, 54, 70, 81, 78, 64, + 56, 72, 74, 81, 75, 63, 68, 89, 65, 77, 58, 68, 75, 83, 52, 62, 82, 63, 55, 75, + 51, 70, 95, 66, 83, 77, 86, 61, 64, 77, 48, 70, 66, 82, 72, 75, 79, 71, 72, 89, + 78, 78, 66, 59, 91, 80, 55, 64, 79, 68, 54, 71, 67, 75, 87, 84, 100, 101, 76, 58, + 74, 82, 61, 74, 75, 97, 85, 79, 61, 55, 69, 68, 72, 65, 52, 64, 80, 73, 48, 54, + 71, 66, 42, 61, 66, 63, 92, 64, 85, 77, 73, 54, 74, 73, 76, 66, 62, 79, 85, 70, + 71, 84, 87, 81, 88, 86, 77, 77, 93, 88, 78, 71, 101, 89, 58, 84, 95, 81, 89, 97, + 104, 79, 83, 76, 90, 81, 91, 74, 70, 76, 91, 80, 51, 48, 56, 69, 47, 63, 54, 42, + 63, 63, 42, 52, 66, 56, 39, 59, 61, 52, 59, 63, 62, 68, 57, 35, 67, 58, 56, 52, + 61, 63, 60, 47, 85, 75, 89, 106, 88, 95, 74, 82, 107, 107, 64, 78, 98, 90, 62, 91, + 79, 87, 111, 84, 104, 106, 96, 68, 94, 99, 81, 89, 79, 105, 95, 86, 65, 63, 77, 89, + 66, 88, 56, 73, 82, 92, 41, 62, 85, 66, 50, 81, 57, 71, 77, 78, 86, 89, 77, 53, + 67, 78, 61, 63, 72, 82, 69, 66, 59, 46, 55, 70, 56, 64, 45, 50, 65, 64, 42, 56, + 78, 49, 51, 52, 38, 56, 72, 55, 73, 72, 61, 50, 63, 60, 47, 57, 55, 73, 53, 68, + 85, 88, 91, 96, 82, 89, 73, 76, 87, 86, 67, 69, 96, 84, 57, 89, 87, 89, 99, 88, + 104, 90, 85, 75, 88, 92, 85, 75, 74, 87, 103, 94, 55, 48, 56, 65, 72, 50, 45, 51, + 63, 62, 47, 57, 79, 53, 36, 63, 54, 68, 71, 59, 63, 61, 63, 41, 50, 73, 57, 59, + 56, 76, 73, 65, 61, 64, 61, 79, 53, 73, 57, 44, 61, 59, 59, 56, 81, 59, 49, 62, + 65, 55, 69, 72, 79, 70, 58, 57, 68, 61, 62, 50, 57, 60, 66, 66, 63, 77, 81, 89, + 85, 81, 76, 73, 78, 95, 59, 70, 81, 77, 46, 79, 78, 79, 83, 81, 84, 82, 85, 48, + 74, 85, 85, 74, 74, 80, 80, 74, 60, 76, 80, 97, 88, 93, 66, 66, 73, 84, 56, 70, + 90, 63, 58, 78, 73, 93, 90, 78, 94, 88, 82, 67, 85, 70, 81, 86, 74, 82, 88, 82, + 68, 73, 75, 91, 78, 97, 71, 66, 74, 85, 50, 59, 86, 77, 70, 74, 75, 74, 99, 82, + 99, 91, 86, 65, 80, 77, 72, 69, 60, 78, 90, 87, 79, 69, 74, 98, 70, 86, 81, 67, + 69, 78, 48, 65, 88, 70, 70, 70, 69, 72, 96, 90, 99, 82, 81, 76, 98, 73, 74, 71, + 69, 73, 94, 89 +}; + diff --git a/mt/am_matmul/matmul2.c b/mt/am_matmul/matmul2.c new file mode 100644 index 0000000..30c705d --- /dev/null +++ b/mt/am_matmul/matmul2.c @@ -0,0 +1,73 @@ +/*size_t i; + size_t j; + size_t max_dim = lda*lda; + if (coreid==0){ + for (i=0; i<max_dim/(ncores*2); i+=8){ + data_t elementA1 = A[i]; + data_t elementA12 = A[i+1]; + data_t elementA13 = A[i+2]; + data_t elementA14 = A[i+3]; + data_t elementA15 = A[i+4]; + data_t elementA16 = A[i+5]; + data_t elementA17 = A[i+6]; + data_t elementA18 = A[i+7]; + data_t elementA2 = A[i+32*8]; + data_t elementA21 = A[i+32*8+1]; + data_t elementA22 = A[i+32*8+2]; + data_t elementA23 = A[i+32*8+3]; + data_t elementA24 = A[i+32*8+4]; + data_t elementA25 = A[i+32*8+5]; + data_t elementA26 = A[i+32*8+6]; + data_t elementA27 = A[i+32*8+7]; + int row= (int)(i/32)*32; + int row2 = row+8*32; + int column1 = i%32*32; + int column12 = (i+1)%32*32; + int column13 = (i+2)%32*32; + int column14 = (i+3)%32*32; + int column15 = (i+4)%32*32; + int column16 = (i+5)%32*32; + int column17 = (i+6)%32*32; + int column18 = (i+7)%32*32; + + for (j=0; j<lda; j++){ + C[row+j]+=elementA1*B[column1+j]+elementA12*B[column12+j]+elementA13*B[column13+j]+elementA14*B[column14+j]+elementA15*B[column15+j]+elementA16*B[column16+j]+elementA17*B[column17+j]+elementA18*B[column18+j] + + C[row2+j]+=elementA2*B[column1+j]+elementA21*B[column12+j]+elementA22*B[column13+j]+elementA23*B[column14+j]+elementA24*B[column15+j]+elementA25*B[column16+j]+elementA26*B[column17+j]+elementA27*B[column18+j]; + } + }}else{ + for (i=max_dim/2; i<(max_dim/(ncores*2)+max_dim/2); i+=8){ + data_t elementA1 = A[i]; + data_t elementA12 = A[i+1]; + data_t elementA13 = A[i+2]; + data_t elementA14 = A[i+3]; + data_t elementA15 = A[i+4]; + data_t elementA16 = A[i+5]; + data_t elementA17 = A[i+6]; + data_t elementA18 = A[i+7]; + data_t elementA2 = A[i+32*8]; + data_t elementA21 = A[i+32*8+1]; + data_t elementA22 = A[i+32*8+2]; + data_t elementA23 = A[i+32*8+3]; + data_t elementA24 = A[i+32*8+4]; + data_t elementA25 = A[i+32*8+5]; + data_t elementA26 = A[i+32*8+6]; + data_t elementA27 = A[i+32*8+7]; + int row= (int)(i/32)*32; + int row2 = row+8*32; + int column1 = i%32*32; + int column12 = (i+1)%32*32; + int column13 = (i+2)%32*32; + int column14 = (i+3)%32*32; + int column15 = (i+4)%32*32; + int column16 = (i+5)%32*32; + int column17 = (i+6)%32*32; + int column18 = (i+7)%32*32; + + for (j=0; j<lda; j++){ + C[row+j]+=elementA1*B[column1+j]+elementA12*B[column12+j]+elementA13*B[column13+j]+elementA14*B[column14+j]+elementA15*B[column15+j]+elementA16*B[column16+j]+elementA17*B[column17+j]+elementA18*B[column18+j]; + C[row2+j]+=elementA2*B[column1+j]+elementA21*B[column12+j]+elementA22*B[column13+j]+elementA23*B[column14+j]+elementA24*B[column15+j]+elementA25*B[column16+j]+elementA26*B[column17+j]+elementA27*B[column18+j]; + + } + } + }*/ diff --git a/mt/am_matmul/matmul2.c~ b/mt/am_matmul/matmul2.c~ new file mode 100644 index 0000000..e69de29 --- /dev/null +++ b/mt/am_matmul/matmul2.c~ diff --git a/mt/am_matmul/matmul3.c b/mt/am_matmul/matmul3.c new file mode 100755 index 0000000..9a79baa --- /dev/null +++ b/mt/am_matmul/matmul3.c @@ -0,0 +1,221 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + size_t i; + size_t j; + size_t k; + size_t max_dim = 32*32; + data_t temp_mat[32]={0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + data_t temp_mat2[32]={0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + //for (i=coreid*max_dim/ncores; i<(max_dim/ncores+coreid*max_dim/ncores); i+=8){ + for (i=coreid*max_dim/ncores; i<(max_dim/ncores+coreid*max_dim/ncores)/2; i+=8){ + data_t element=A[i]; + data_t element2 = A[i+1]; + data_t element3 = A[i+2]; + data_t element4 = A[i+3]; + data_t element5 = A[i+4]; + data_t element6 = A[i+5]; + data_t element7 = A[i+6]; + data_t element8 = A[i+7]; + data_t elementA2 = A[i+32*8]; + data_t elementA21 = A[i+32*8+1]; + data_t elementA22 = A[i+32*8+2]; + data_t elementA23 = A[i+32*8+3]; + data_t elementA24 = A[i+32*8+4]; + data_t elementA25 = A[i+32*8+5]; + data_t elementA26 = A[i+32*8+6]; + data_t elementA27 = A[i+32*8+7]; + int row= (int)(i/32)*32; + int row2 = row+8*32; + int column = i%32*32; + int column2 = (i+1)%32*32; + int column3 = (i+2)%32*32; + int column4 = (i+3)%32*32; + int column5 = (i+4)%32*32; + int column6 = (i+5)%32*32; + int column7 = (i+6)%32*32; + int column8 = (i+7)%32*32; + + for (j=0; j<32; j++){ + temp_mat[j]+=element*B[column+j]+element2*B[column2+j]+element3*B[column3+j]+element4*B[column4+j]+element5*B[column5+j]+element6*B[column6+j]+element7*B[column7+j]+element8*B[column8+j]; + + temp_mat2[j]+=elementA2*B[column+j]+elementA21*B[column2+j]+elementA22*B[column3+j]+elementA23*B[column4+j]+elementA24*B[column5+j]+elementA25*B[column6+j]+elementA26*B[column7+j]+elementA27*B[column8+j]; + } + if (i%32==24){ + for(k=0; k<32; k++){ + C[row+k]=temp_mat[k]; + C[row2+k]=temp_mat2[k]; + temp_mat[k]=0; + temp_mat2[k]=0; + + } + } + } + + + + + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + + // Execute the provided, naive matmul + barrier(); + stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + + // clear results from the first trial + size_t i; + if (coreid == 0) + for (i=0; i < ARRAY_SIZE; i++) + results_data[i] = 0; + barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/am_matmul/matmul4.c b/mt/am_matmul/matmul4.c new file mode 100755 index 0000000..05a1aa4 --- /dev/null +++ b/mt/am_matmul/matmul4.c @@ -0,0 +1,282 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + /*size_t i; + size_t j; + size_t k; + size_t max_dim = 32*32; + data_t temp_mat[32]={0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + for (i=coreid*max_dim/ncores; i<(max_dim/ncores+coreid*max_dim/ncores); i+=8){ + data_t element=A[i]; + data_t element2 = A[i+1]; + data_t element3 = A[i+2]; + data_t element4 = A[i+3]; + data_t element5 = A[i+4]; + data_t element6 = A[i+5]; + data_t element7 = A[i+6]; + data_t element8 = A[i+7]; + int row= (int)(i/32)*32; + int column = i%32*32; + int column2 = (i+1)%32*32; + int column3 = (i+2)%32*32; + int column4 = (i+3)%32*32; + int column5 = (i+4)%32*32; + int column6 = (i+5)%32*32; + int column7 = (i+6)%32*32; + int column8 = (i+7)%32*32; + + for (j=0; j<32; j++){ + temp_mat[j]+=element*B[column+j]+element2*B[column2+j]+element3*B[column3+j]+element4*B[column4+j]+element5*B[column5+j]+element6*B[column6+j]+element7*B[column7+j]+element8*B[column8+j]; + } + if (i%32==24){ + for(k=0; k<32; k++){ + C[row+k]=temp_mat[k]; + temp_mat[k]=0; + } + } + }*/ + int i,j,k,l; + //data_t element11, element12, element13, element14, element21, element22, element23, element24; + data_t element1, element2, element3, element4, element5, element6, element7, element8; + int row, row2; + //int column11, column12, column13, column14, column21, column22, column23, column24; + int column1, column2, column3, column4, column5, column6, column7, column8; + data_t temp[32]={0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + //data_t temp2[32]={0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + if (coreid == 0){ + for (i=0; i<32; i++){ + if (i==15){ + for (j=0; j<32; j+=4){ + row=15*32; + element1 = A[row+j]; + element2 = A[row+j+1]; + element3 = A[row+j+2]; + element4 = A[row+j+3]; + column1 = j*32; + column2 = (j+1)*32; + column3 = (j+2)*32; + column4 = (j+3)*32; + for (k=0;k<32; k++){ + temp[k]+=element1*B[column1+k]+element2*B[column2+k]+element3*B[column3+k]+element4*B[column4+k]; + } + if (j==28){ + for (l=0; l<32; l++){ + C[row+l]=temp[l]; + temp[l]=0; + } + } + } + } + else{ + row = i*32; + for (j=0; j<16; j+=4){ + element1 = A[i*32+j]; + element2 = A[i*32+j+1]; + element3 = A[i*32+j+2]; + element4 = A[i*32+j+3]; + column1 = j*32; + column2 = (j+1)*32; + column3 = (j+2)*32; + column4 = (j+3)*32; + for (k=0; k<32; k++){ + temp[k]+=element1*B[column1+k]+element2*B[column2+k]+element3*B[column3+k]+element4*B[column4+k]; + } + if (j==12){ + for (l=0; l<32; l++){ + C[row+l]+=temp[l]; + temp[l]=0; + } + } + } + } + } + } + else if (coreid==1){ + for (i=0; i<32; i++){ + row = (31-i)*32; + if (row/32 != 15){ + for (j=16; j<32; j+=4){ + element1 = A[(31-i)*32+j]; + element2 = A[(31-i)*32+j+1]; + element3 = A[(31-i)*32+j+2]; + element4 = A[(31-i)*32+j+3]; + column1 = j*32; + column2 = (j+1)*32; + column3 = (j+2)*32; + column4 = (j+3)*32; + for (k=0; k<32; k++){ + temp[k]+=element1*B[column1+k]+element2*B[column2+k]+element3*B[column3+k]+element4*B[column4+k]; + } + if (j==28){ + for (l=0; l<32; l++){ + C[row+l]+=temp[l]; + temp[l]=0; + } + } + } + } + } + } + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + + // Execute the provided, naive matmul + barrier(); + stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + + // clear results from the first trial + size_t i; + if (coreid == 0) + for (i=0; i < ARRAY_SIZE; i++) + results_data[i] = 0; + barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/am_matmul/matmul_gendata.pl b/mt/am_matmul/matmul_gendata.pl new file mode 100755 index 0000000..f21bb46 --- /dev/null +++ b/mt/am_matmul/matmul_gendata.pl @@ -0,0 +1,200 @@ +#!/usr/bin/perl -w +#========================================================================== +# matmul_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the matmul benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: matmul_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[ARRAY_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3d",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + + + +#-------------------------------------------------------------------------- +# Matmul +#-------------------------------------------------------------------------- + +# http://answers.oreilly.com/topic/418-how-to-multiply-matrices-in-perl/ + +sub mmult { + my ($m1,$m2) = @_; + my ($m1rows,$m1cols) = matdim($m1); + my ($m2rows,$m2cols) = matdim($m2); + + my $result = [ ]; + my ($i, $j, $k); + + for $i (range($m1rows)) { + for $j (range($m2cols)) { + for $k (range($m1cols)) { + $result->[$i][$j] += $m1->[$i][$k] * $m2->[$k][$j]; + } + } + } + return $result; +} + +sub range { 0 .. ($_[0] - 1) } + + +sub veclen { + my $ary_ref = $_[0]; + my $type = ref $ary_ref; + if ($type ne "ARRAY") { die "$type is bad array ref for $ary_ref" } + return scalar(@$ary_ref); +} + +sub matdim { + my $matrix = $_[0]; + my $rows = veclen($matrix); + my $cols = veclen($matrix->[0]); + return ($rows, $cols); +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + # create random input arrays + my $mat_values1; + my $mat_values2; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + $mat_values1->[$i][$j] = int(rand(4)); + $mat_values2->[$i][$j] = int(rand(4)); + } + } + + # perform matmul + my $mat_results = mmult( $mat_values1, $mat_values2 ); + + # translate 2d arrays to 1d-somethings (I don't know how to code in perl - Chris) + my @values1; + my @values2; + my @results; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + my $value1 = $mat_values1->[$i][$j]; + my $value2 = $mat_values2->[$i][$j]; + my $result = $mat_results->[$i][$j]; + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @results, $result ); + } + } + + print "\n\#define ARRAY_SIZE ".($opts{"size"}*$opts{"size"})." \n\n"; + print "\n\#define DIM_SIZE ".$opts{"size"}." \n\n"; + + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@results); + +} + +main(); + diff --git a/mt/am_matmul/matmul_mi.c b/mt/am_matmul/matmul_mi.c new file mode 100755 index 0000000..841a4b5 --- /dev/null +++ b/mt/am_matmul/matmul_mi.c @@ -0,0 +1,249 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i,j,k,l; + data_t element1, element2, element3, element4, element5, element6, element7, element8; + int row, row2; + int column1, column2, column3, column4, column5, column6, column7, column8; + data_t temp[32]={0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + data_t temp2[32]={0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + if (coreid == 0){ + for (i=0; i<lda; i+=2){ + row = i*lda; + row2 = (i+1)*lda; + for (j=0; j<16; j+=4){ + element1 = A[row+j]; + element2 = A[row+j+1]; + element3 = A[row+j+2]; + element4 = A[row+j+3]; + column1 = j*32; + column2 = (j+1)*32; + column3 = (j+2)*32; + column4 = (j+3)*32; + element5 = A[row2+j]; + element6 = A[row2+j+1]; + element7 = A[row2+j+2]; + element8 = A[row2+j+3]; + + for (k=0; k<32; k+=4){ + temp[k]+=element1*B[column1+k]+element2*B[column2+k]+element3*B[column3+k]+element4*B[column4+k]; + temp[k+1]+=element1*B[column1+k+1]+element2*B[column2+k+1]+element3*B[column3+k+1]+element4*B[column4+k+1]; + temp[k+2]+=element1*B[column1+k+2]+element2*B[column2+k+2]+element3*B[column3+k+2]+element4*B[column4+k+2]; + temp[k+3]+=element1*B[column1+k+3]+element2*B[column2+k+3]+element3*B[column3+k+3]+element4*B[column4+k+3]; + temp2[k]+=element5*B[column1+k]+element6*B[column2+k]+element7*B[column3+k]+element8*B[column4+k]; + temp2[k+1]+=element5*B[column1+k+1]+element6*B[column2+k+1]+element7*B[column3+k+1]+element8*B[column4+k+1]; + temp2[k+2]+=element5*B[column1+k+2]+element6*B[column2+k+2]+element7*B[column3+k+2]+element8*B[column4+k+2]; + temp2[k+3]+=element5*B[column1+k+3]+element6*B[column2+k+3]+element7*B[column3+k+3]+element8*B[column4+k+3]; + } + if (j==12){ + for (l=0; l<32; l++){ + C[row+l]+=temp[l]; + C[row2+l]+=temp2[l]; + temp[l]=0; + temp2[l]=0; + } + } + } + } + } + else if (coreid==1){ + for (i=0; i<32; i+=2){ + row = (31-i)*lda; + row2 = (31-i-1)*lda; + for (j=16; j<32; j+=4){ + element1 = A[row+j]; + element2 = A[row+j+1]; + element3 = A[row+j+2]; + element4 = A[row+j+3]; + element5 = A[row2+j]; + element6 = A[row2+j+1]; + element7 = A[row2+j+2]; + element8 = A[row2+j+3]; + column1 = j*32; + column2 = (j+1)*32; + column3 = (j+2)*32; + column4 = (j+3)*32; + for (k=0; k<32; k+=4){ + temp[k]+=element1*B[column1+k]+element2*B[column2+k]+element3*B[column3+k]+element4*B[column4+k]; + temp[k+1]+=element1*B[column1+k+1]+element2*B[column2+k+1]+element3*B[column3+k+1]+element4*B[column4+k+1]; + temp[k+2]+=element1*B[column1+k+2]+element2*B[column2+k+2]+element3*B[column3+k+2]+element4*B[column4+k+2]; + temp[k+3]+=element1*B[column1+k+3]+element2*B[column2+k+3]+element3*B[column3+k+3]+element4*B[column4+k+3]; + temp2[k]+=element5*B[column1+k]+element6*B[column2+k]+element7*B[column3+k]+element8*B[column4+k]; + temp2[k+1]+=element5*B[column1+k+1]+element6*B[column2+k+1]+element7*B[column3+k+1]+element8*B[column4+k+1]; + temp2[k+2]+=element5*B[column1+k+2]+element6*B[column2+k+2]+element7*B[column3+k+2]+element8*B[column4+k+2]; + temp2[k+3]+=element5*B[column1+k+3]+element6*B[column2+k+3]+element7*B[column3+k+3]+element8*B[column4+k+3]; + } + if (j==28){ + for (l=0; l<32; l++){ + C[row+l]+=temp[l]; + C[row2+l]+=temp2[l]; + temp[l]=0; + temp2[l]=0; + } + } + } + } + } + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + +// // Execute the provided, naive matmul +// barrier(); +// stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); +// +// +// // verify +// verify(ARRAY_SIZE, results_data, verify_data); +// +// // clear results from the first trial +// size_t i; +// if (coreid == 0) +// for (i=0; i < ARRAY_SIZE; i++) +// results_data[i] = 0; +// barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/am_matmul/matmul_mi.c~ b/mt/am_matmul/matmul_mi.c~ new file mode 100755 index 0000000..858f363 --- /dev/null +++ b/mt/am_matmul/matmul_mi.c~ @@ -0,0 +1,290 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + /*size_t i, j, k; + int row, column, column2, column3, column4, column5, column6, column7, column8; + size_t max_dim = 32*32; + data_t element, element2, element3, element4, element5, element6, element7, element8; + data_t temp_mat[32]={0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + for (i=coreid*max_dim/ncores; i<(max_dim/ncores+coreid*max_dim/ncores); i+=8){ + element=A[i]; + element2 = A[i+1]; + element3 = A[i+2]; + element4 = A[i+3]; + element5 = A[i+4]; + element6 = A[i+5]; + element7 = A[i+6]; + element8 = A[i+7]; + row= (int)(i/32)*32; + column = i%32*32; + column2 = (i+1)%32*32; + column3 = (i+2)%32*32; + column4 = (i+3)%32*32; + column5 = (i+4)%32*32; + column6 = (i+5)%32*32; + column7 = (i+6)%32*32; + column8 = (i+7)%32*32; + + for (j=0; j<32; j+=8){ + temp_mat[j]+=element*B[column+j]+element2*B[column2+j]+element3*B[column3+j]+element4*B[column4+j]+element5*B[column5+j]+element6*B[column6+j]+element7*B[column7+j]+element8*B[column8+j]; + temp_mat[j+1]+=element*B[column+j+1]+element2*B[column2+j+1]+element3*B[column3+j+1]+element4*B[column4+j+1]+element5*B[column5+j+1]+element6*B[column6+j+1]+element7*B[column7+j+1]+element8*B[column8+j+1]; + temp_mat[j+2]+=element*B[column+j+2]+element2*B[column2+j+2]+element3*B[column3+j+2]+element4*B[column4+j+2]+element5*B[column5+j+2]+element6*B[column6+j+2]+element7*B[column7+j+2]+element8*B[column8+j+2]; + temp_mat[j+3]+=element*B[column+j+3]+element2*B[column2+j+3]+element3*B[column3+j+3]+element4*B[column4+j+3]+element5*B[column5+j+3]+element6*B[column6+j+3]+element7*B[column7+j+3]+element8*B[column8+j+3]; + temp_mat[j+4]+=element*B[column+j+4]+element2*B[column2+j+4]+element3*B[column3+j+4]+element4*B[column4+j+4]+element5*B[column5+j+4]+element6*B[column6+j+4]+element7*B[column7+j+4]+element8*B[column8+j+4]; + temp_mat[j+5]+=element*B[column+j+5]+element2*B[column2+j+5]+element3*B[column3+j+5]+element4*B[column4+j+5]+element5*B[column5+j+5]+element6*B[column6+j+5]+element7*B[column7+j+5]+element8*B[column8+j+5]; + temp_mat[j+6]+=element*B[column+j+6]+element2*B[column2+j+6]+element3*B[column3+j+6]+element4*B[column4+j+6]+element5*B[column5+j+6]+element6*B[column6+j+6]+element7*B[column7+j+6]+element8*B[column8+j+6]; + temp_mat[j+7]+=element*B[column+j+7]+element2*B[column2+j+7]+element3*B[column3+j+7]+element4*B[column4+j+7]+element5*B[column5+j+7]+element6*B[column6+j+7]+element7*B[column7+j+7]+element8*B[column8+j+7]; + } + if (i%32==24){ + for(k=0; k<32; k++){ + C[row+k]=temp_mat[k]; + temp_mat[k]=0; + } + } + }*/ + int i,j,k,l; + data_t element1, element2, element3, element4, element5, element6, element7, element8; + int row, row2; + int column1, column2, column3, column4, column5, column6, column7, column8; + data_t temp[32]={0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + data_t temp2[32]={0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + if (coreid == 0){ + for (i=0; i<32; i+=2){ + row = i*32; + row2 = (i+1)*32; + for (j=0; j<16; j+=4){ + element1 = A[row+j]; + element2 = A[row+j+1]; + element3 = A[row+j+2]; + element4 = A[row+j+3]; + column1 = j*32; + column2 = (j+1)*32; + column3 = (j+2)*32; + column4 = (j+3)*32; + element5 = A[row2+j]; + element6 = A[row2+j+1]; + element7 = A[row2+j+2]; + element8 = A[row2+j+3]; + + for (k=0; k<32; k+=4){ + temp[k]+=element1*B[column1+k]+element2*B[column2+k]+element3*B[column3+k]+element4*B[column4+k]; + temp[k+1]+=element1*B[column1+k+1]+element2*B[column2+k+1]+element3*B[column3+k+1]+element4*B[column4+k+1]; + temp[k+2]+=element1*B[column1+k+2]+element2*B[column2+k+2]+element3*B[column3+k+2]+element4*B[column4+k+2]; + temp[k+3]+=element1*B[column1+k+3]+element2*B[column2+k+3]+element3*B[column3+k+3]+element4*B[column4+k+3]; + temp2[k]+=element5*B[column1+k]+element6*B[column2+k]+element7*B[column3+k]+element8*B[column4+k]; + temp2[k+1]+=element5*B[column1+k+1]+element6*B[column2+k+1]+element7*B[column3+k+1]+element8*B[column4+k+1]; + temp2[k+2]+=element5*B[column1+k+2]+element6*B[column2+k+2]+element7*B[column3+k+2]+element8*B[column4+k+2]; + temp2[k+3]+=element5*B[column1+k+3]+element6*B[column2+k+3]+element7*B[column3+k+3]+element8*B[column4+k+3]; + } + if (j==12){ + for (l=0; l<32; l++){ + C[row+l]+=temp[l]; + C[row2+l]+=temp2[l]; + temp[l]=0; + temp2[l]=0; + } + } + } + } + } + else if (coreid==1){ + for (i=0; i<32; i+=2){ + row = (31-i)*32; + row2 = (31-i-1)*32; + for (j=16; j<32; j+=4){ + element1 = A[row+j]; + element2 = A[row+j+1]; + element3 = A[row+j+2]; + element4 = A[row+j+3]; + element5 = A[row2+j]; + element6 = A[row2+j+1]; + element7 = A[row2+j+2]; + element8 = A[row2+j+3]; + column1 = j*32; + column2 = (j+1)*32; + column3 = (j+2)*32; + column4 = (j+3)*32; + for (k=0; k<32; k+=4){ + temp[k]+=element1*B[column1+k]+element2*B[column2+k]+element3*B[column3+k]+element4*B[column4+k]; + temp[k+1]+=element1*B[column1+k+1]+element2*B[column2+k+1]+element3*B[column3+k+1]+element4*B[column4+k+1]; + temp[k+2]+=element1*B[column1+k+2]+element2*B[column2+k+2]+element3*B[column3+k+2]+element4*B[column4+k+2]; + temp[k+3]+=element1*B[column1+k+3]+element2*B[column2+k+3]+element3*B[column3+k+3]+element4*B[column4+k+3]; + temp2[k]+=element5*B[column1+k]+element6*B[column2+k]+element7*B[column3+k]+element8*B[column4+k]; + temp2[k+1]+=element5*B[column1+k+1]+element6*B[column2+k+1]+element7*B[column3+k+1]+element8*B[column4+k+1]; + temp2[k+2]+=element5*B[column1+k+2]+element6*B[column2+k+2]+element7*B[column3+k+2]+element8*B[column4+k+2]; + temp2[k+3]+=element5*B[column1+k+3]+element6*B[column2+k+3]+element7*B[column3+k+3]+element8*B[column4+k+3]; + } + if (j==28){ + for (l=0; l<32; l++){ + C[row+l]+=temp[l]; + C[row2+l]+=temp2[l]; + temp[l]=0; + temp2[l]=0; + } + } + } + } + } + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + + // Execute the provided, naive matmul + barrier(); + stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + + // clear results from the first trial + size_t i; + if (coreid == 0) + for (i=0; i < ARRAY_SIZE; i++) + results_data[i] = 0; + barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/am_matmul/matmul_msi.c b/mt/am_matmul/matmul_msi.c new file mode 100755 index 0000000..0b59f8c --- /dev/null +++ b/mt/am_matmul/matmul_msi.c @@ -0,0 +1,216 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + size_t i, j, k, l; + int row,row2, column, column2, column3, column4, column5, column6, column7, column8; + size_t max_dim = 32*32; + data_t element, element2, element3, element4, element5, element6, element7, element8; + data_t temp_mat[32]={0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + data_t temp_mat2[32]={0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + //for (i=coreid*max_dim/ncores; i<(max_dim/ncores+coreid*max_dim/ncores); i+=8){ + for (l=coreid*32/ncores; l<32*(1+coreid)/ncores; l+=2){ + row=l*32; + row2=(l+1)*32; + for (i=0; i<lda; i+=4){ + element = A[row+i]; + element2 = A[row+i+1]; + element3 = A[row+i+2]; + element4 = A[row+i+3]; + element5 = A[row2+i]; + element6 = A[row2+i+1]; + element7 = A[row2+i+2]; + element8 = A[row2+i+3]; + column=i*32; + column2=(i+1)*32; + column3=(i+2)*32; + column4=(i+3)*32; + for (j=0; j<32; j+=4){ + temp_mat[j]+=element*B[column+j]+element2*B[column2+j]+element3*B[column3+j]+element4*B[column4+j]; + temp_mat[j+1]+=element*B[column+j+1]+element2*B[column2+j+1]+element3*B[column3+j+1]+element4*B[column4+j+1]; + temp_mat[j+2]+=element*B[column+j+2]+element2*B[column2+j+2]+element3*B[column3+j+2]+element4*B[column4+j+2]; + temp_mat[j+3]+=element*B[column+j+3]+element2*B[column2+j+3]+element3*B[column3+j+3]+element4*B[column4+j+3]; + temp_mat2[j]+=element5*B[column+j]+element6*B[column2+j]+element7*B[column3+j]+element8*B[column4+j]; + temp_mat2[j+1]+=element5*B[column+j+1]+element6*B[column2+j+1]+element7*B[column3+j+1]+element8*B[column4+j+1]; + temp_mat2[j+2]+=element5*B[column+j+2]+element6*B[column2+j+2]+element7*B[column3+j+2]+element8*B[column4+j+2]; + temp_mat2[j+3]+=element5*B[column+j+3]+element6*B[column2+j+3]+element7*B[column3+j+3]+element8*B[column4+j+3]; + } + /*if (i==28){ + for(k=0; k<32; k++){ + C[row+k]=temp_mat[k]; + C[row2+k]=temp_mat2[k]; + temp_mat[k]=0; + temp_mat2[k]=0; + } + }*/ + } + for(k=0; k<32; k++){ + C[row+k]=temp_mat[k]; + C[row2+k]=temp_mat2[k]; + temp_mat[k]=0; + temp_mat2[k]=0; + } + } + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + + // Execute the provided, naive matmul + barrier(); + stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + + // clear results from the first trial + size_t i; + if (coreid == 0) + for (i=0; i < ARRAY_SIZE; i++) + results_data[i] = 0; + barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/am_matmul/matmul_msi.c~ b/mt/am_matmul/matmul_msi.c~ new file mode 100755 index 0000000..61016a7 --- /dev/null +++ b/mt/am_matmul/matmul_msi.c~ @@ -0,0 +1,210 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + size_t i, j, k, l; + int row,row2, column, column2, column3, column4, column5, column6, column7, column8; + size_t max_dim = 32*32; + data_t element, element2, element3, element4, element5, element6, element7, element8; + data_t temp_mat[32]={0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + data_t temp_mat2[32]={0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; + //for (i=coreid*max_dim/ncores; i<(max_dim/ncores+coreid*max_dim/ncores); i+=8){ + for (l=coreid*32/ncores; l<32*(1+coreid)/ncores; l+=2){ + row=l*32; + row2=(l+1)*32; + for (i=0; i<lda; i+=4){ + element = A[row+i]; + element2 = A[row+i+1]; + element3 = A[row+i+2]; + element4 = A[row+i+3]; + element5 = A[row2+i]; + element6 = A[row2+i+1]; + element7 = A[row2+i+2]; + element8 = A[row2+i+3]; + column=i*32; + column2=(i+1)*32; + column3=(i+2)*32; + column4=(i+3)*32; + for (j=0; j<32; j+=4){ + temp_mat[j]+=element*B[column+j]+element2*B[column2+j]+element3*B[column3+j]+element4*B[column4+j]; + temp_mat[j+1]+=element*B[column+j+1]+element2*B[column2+j+1]+element3*B[column3+j+1]+element4*B[column4+j+1]; + temp_mat[j+2]+=element*B[column+j+2]+element2*B[column2+j+2]+element3*B[column3+j+2]+element4*B[column4+j+2]; + temp_mat[j+3]+=element*B[column+j+3]+element2*B[column2+j+3]+element3*B[column3+j+3]+element4*B[column4+j+3]; + temp_mat2[j]+=element5*B[column+j]+element6*B[column2+j]+element7*B[column3+j]+element8*B[column4+j]; + temp_mat2[j+1]+=element5*B[column+j+1]+element6*B[column2+j+1]+element7*B[column3+j+1]+element8*B[column4+j+1]; + temp_mat2[j+2]+=element5*B[column+j+2]+element6*B[column2+j+2]+element7*B[column3+j+2]+element8*B[column4+j+2]; + temp_mat2[j+3]+=element5*B[column+j+3]+element6*B[column2+j+3]+element7*B[column3+j+3]+element8*B[column4+j+3]; + } + if (i==28){ + for(k=0; k<32; k++){ + C[row+k]=temp_mat[k]; + C[row2+k]=temp_mat2[k]; + temp_mat[k]=0; + temp_mat2[k]=0; + } + } + } + } + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + + // Execute the provided, naive matmul + barrier(); + stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + + // clear results from the first trial + size_t i; + if (coreid == 0) + for (i=0; i < ARRAY_SIZE; i++) + results_data[i] = 0; + barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/am_vvadd/am_vvadd.c b/mt/am_vvadd/am_vvadd.c new file mode 100755 index 0000000..a4681d0 --- /dev/null +++ b/mt/am_vvadd/am_vvadd.c @@ -0,0 +1,169 @@ +//************************************************************************** +// Vector-vector add benchmark +//-------------------------------------------------------------------------- +// Author : Andrew Waterman +// TA : Christopher Celio +// Student : +// +// This benchmark adds two vectors and writes the results to a +// third vector. The input data (and reference data) should be +// generated using the vvadd_gendata.pl perl script and dumped +// to a file named dataset.h + +// to print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DATA_SIZE, 10*_c/DATA_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %4ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %4ld, correct[%d]= %4ld\n", + i, (long) test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// vvadd function + +//perform in-place vvadd +void __attribute__((noinline)) vvadd(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + size_t i; + + // interleave accesses + for (i = coreid; i < n; i+=ncores) + { + x[i] = x[i] + y[i]; + } +} + +void __attribute__((noinline)) vvadd_opt(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + size_t i; + for (i= coreid*n/ncores; i<(n/ncores+coreid*n/ncores); i++){ + x[i] = x[i] + y[i]; + } +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[DATA_SIZE]; + + // because we're going to perform an in-place vvadd (and we're going to run + // it a couple of times) let's copy the input data to a temporary results + // array + + size_t i; + if (coreid == 0) + { + for (i = 0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + + + // Execute the provided, terrible vvadd + barrier(); + stats(vvadd(DATA_SIZE, results_data, input2_data); barrier()); + + + // verify + verify(DATA_SIZE, results_data, verify_data); + + // reset results from the first trial + if (coreid == 0) + { + for (i=0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + barrier(); + + + // Execute your faster vvadd + barrier(); + stats(vvadd_opt(DATA_SIZE, results_data, input2_data); barrier()); + +#ifdef DEBUG + printArray("results: ", DATA_SIZE, results_data); + printArray("verify : ", DATA_SIZE, verify_data); +#endif + + // verify + verify(DATA_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/am_vvadd/dataset.h b/mt/am_vvadd/dataset.h new file mode 100755 index 0000000..ce9f936 --- /dev/null +++ b/mt/am_vvadd/dataset.h @@ -0,0 +1,165 @@ + +#define DATA_SIZE 1000 + +static data_t input1_data[DATA_SIZE] = +{ + 0.00, 15.00, 10.00, 3.00, 14.00, 6.00, 2.00, 18.00, 11.00, 15.00, 11.00, 0.00, 17.00, 16.00, 7.00, 13.00, 18.00, 2.00, 2.00, 5.00, + 8.00, 5.00, 12.00, 14.00, 6.00, 12.00, 16.00, 7.00, 9.00, 17.00, 10.00, 10.00, 3.00, 5.00, 14.00, 11.00, 9.00, 12.00, 3.00, 1.00, + 5.00, 4.00, 6.00, 17.00, 17.00, 4.00, 17.00, 15.00, 17.00, 18.00, 3.00, 18.00, 10.00, 6.00, 12.00, 12.00, 3.00, 2.00, 16.00, 1.00, + 5.00, 6.00, 2.00, 17.00, 16.00, 5.00, 10.00, 18.00, 14.00, 4.00, 9.00, 9.00, 7.00, 4.00, 8.00, 13.00, 12.00, 6.00, 4.00, 17.00, + 5.00, 2.00, 11.00, 11.00, 7.00, 6.00, 8.00, 5.00, 6.00, 6.00, 11.00, 1.00, 18.00, 7.00, 6.00, 9.00, 10.00, 17.00, 14.00, 4.00, + 14.00, 11.00, 2.00, 0.00, 2.00, 17.00, 17.00, 15.00, 10.00, 8.00, 12.00, 18.00, 5.00, 0.00, 0.00, 1.00, 1.00, 8.00, 11.00, 11.00, + 7.00, 5.00, 15.00, 18.00, 15.00, 6.00, 8.00, 9.00, 18.00, 6.00, 15.00, 16.00, 10.00, 18.00, 13.00, 6.00, 10.00, 16.00, 0.00, 10.00, + 12.00, 8.00, 8.00, 3.00, 0.00, 1.00, 4.00, 0.00, 8.00, 15.00, 16.00, 9.00, 7.00, 7.00, 10.00, 9.00, 16.00, 12.00, 5.00, 5.00, + 9.00, 5.00, 17.00, 4.00, 13.00, 13.00, 4.00, 14.00, 10.00, 5.00, 10.00, 10.00, 6.00, 18.00, 5.00, 15.00, 5.00, 15.00, 13.00, 18.00, + 6.00, 13.00, 5.00, 18.00, 12.00, 14.00, 1.00, 7.00, 2.00, 1.00, 7.00, 12.00, 15.00, 15.00, 6.00, 2.00, 1.00, 2.00, 18.00, 6.00, + 10.00, 14.00, 9.00, 15.00, 11.00, 0.00, 3.00, 1.00, 2.00, 2.00, 14.00, 7.00, 18.00, 0.00, 2.00, 2.00, 16.00, 8.00, 4.00, 5.00, + 7.00, 11.00, 7.00, 10.00, 14.00, 10.00, 3.00, 0.00, 13.00, 9.00, 14.00, 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12.00, 11.00, 17.00, 4.00, 13.00, 7.00, 16.00, 12.00, 7.00, 18.00 +}; + +static data_t input2_data[DATA_SIZE] = +{ + 8.00, 6.00, 0.00, 18.00, 6.00, 10.00, 1.00, 2.00, 4.00, 2.00, 4.00, 10.00, 6.00, 11.00, 17.00, 4.00, 0.00, 16.00, 14.00, 12.00, + 9.00, 8.00, 13.00, 15.00, 18.00, 2.00, 13.00, 10.00, 5.00, 4.00, 12.00, 9.00, 1.00, 13.00, 12.00, 7.00, 10.00, 17.00, 11.00, 10.00, + 18.00, 15.00, 11.00, 12.00, 7.00, 9.00, 6.00, 5.00, 11.00, 7.00, 10.00, 12.00, 18.00, 18.00, 15.00, 1.00, 3.00, 18.00, 11.00, 16.00, + 13.00, 18.00, 4.00, 13.00, 8.00, 7.00, 10.00, 13.00, 0.00, 9.00, 1.00, 16.00, 13.00, 7.00, 5.00, 5.00, 11.00, 1.00, 6.00, 10.00, + 12.00, 3.00, 10.00, 5.00, 15.00, 15.00, 13.00, 14.00, 14.00, 1.00, 18.00, 5.00, 16.00, 14.00, 10.00, 4.00, 8.00, 4.00, 6.00, 6.00, + 13.00, 14.00, 8.00, 5.00, 14.00, 10.00, 9.00, 10.00, 17.00, 15.00, 6.00, 16.00, 12.00, 9.00, 10.00, 16.00, 16.00, 8.00, 1.00, 12.00, + 7.00, 0.00, 0.00, 3.00, 5.00, 7.00, 10.00, 3.00, 17.00, 10.00, 18.00, 16.00, 1.00, 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vvadd_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the vvadd benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: vvadd_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[DATA_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3.2f",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + my @values1; + my @values2; + my @sum; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + my $value1 = int(rand(19)); + my $value2 = int(rand(19)); + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @sum, $value1 + $value2 ); + } + + + print "\n\#define DATA_SIZE ".$opts{"size"}." \n\n"; + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@sum ); + +} + +main(); + diff --git a/mt/an_matmul/an_matmul.c b/mt/an_matmul/an_matmul.c new file mode 100755 index 0000000..e7608fe --- /dev/null +++ b/mt/an_matmul/an_matmul.c @@ -0,0 +1,196 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( j = 0; j < lda; j++ ) + for ( k = 0; k < lda; k++ ) + { + for ( i = 0; i < lda; i++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + int i, j, k, limit, end, kblock, iblock, r, jblock; + int tempA1; + int tempB1; + + limit = lda / 2; + if (coreid == 0){ + j = 0; + end = limit; + } else { + j = limit; + end = lda; + } + + kblock = 1; + iblock = 1; + jblock = 1; + for (; j < end; j+= jblock) + for ( k = 0; k < lda; k = k + kblock ) + { + r = j*lda + k; + tempA1 = A[r]; + + for ( i = 0; i < lda; i = i + iblock ) { + tempB1 = k*lda + i; + + C[i + j*lda] += tempA1*B[tempB1]; + + } + } + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + +// // Execute the provided, naive matmul +// barrier(); +// stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); +// +// +// // verify +// verify(ARRAY_SIZE, results_data, verify_data); +// +// // clear results from the first trial +// size_t i; +// if (coreid == 0) +// for (i=0; i < ARRAY_SIZE; i++) +// results_data[i] = 0; +// barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/an_matmul/dataset.h b/mt/an_matmul/dataset.h new file mode 100755 index 0000000..dde3ee4 --- /dev/null +++ b/mt/an_matmul/dataset.h @@ -0,0 +1,174 @@ + +#define ARRAY_SIZE 1024 + + +#define DIM_SIZE 32 + +static data_t input1_data[ARRAY_SIZE] = +{ + 0, 3, 2, 0, 3, 1, 0, 3, 2, 3, 2, 0, 3, 3, 1, 2, 3, 0, 0, 1, + 1, 1, 2, 3, 1, 2, 3, 1, 1, 3, 2, 2, 0, 1, 3, 2, 2, 2, 0, 0, + 1, 0, 1, 3, 3, 0, 3, 3, 3, 3, 0, 3, 2, 1, 2, 2, 0, 0, 3, 0, + 1, 1, 0, 3, 3, 1, 2, 3, 3, 0, 1, 2, 1, 0, 1, 2, 2, 1, 0, 3, + 1, 0, 2, 2, 1, 1, 1, 1, 1, 1, 2, 0, 3, 1, 1, 2, 2, 3, 3, 1, + 3, 2, 0, 0, 0, 3, 3, 3, 2, 1, 2, 3, 1, 0, 0, 0, 0, 1, 2, 2, + 1, 1, 3, 3, 3, 1, 1, 2, 3, 1, 3, 3, 2, 3, 2, 1, 2, 3, 0, 2, + 2, 1, 1, 0, 0, 0, 0, 0, 1, 3, 3, 1, 1, 1, 2, 2, 3, 2, 1, 1, + 1, 1, 3, 0, 2, 2, 1, 3, 2, 1, 2, 2, 1, 3, 1, 3, 1, 3, 2, 3, + 1, 2, 1, 3, 2, 2, 0, 1, 0, 0, 1, 2, 3, 3, 1, 0, 0, 0, 3, 1, + 2, 3, 2, 3, 2, 0, 0, 0, 0, 0, 3, 1, 3, 0, 0, 0, 3, 1, 1, 1, + 1, 2, 1, 2, 3, 2, 0, 0, 2, 2, 3, 0, 3, 0, 0, 3, 0, 3, 1, 3, + 3, 1, 1, 1, 2, 2, 1, 3, 0, 3, 3, 1, 0, 0, 3, 2, 1, 3, 3, 3, + 1, 0, 1, 1, 2, 1, 0, 1, 1, 2, 2, 3, 1, 2, 2, 2, 0, 1, 3, 3, + 3, 2, 2, 1, 0, 1, 2, 0, 1, 1, 1, 1, 2, 3, 2, 2, 3, 3, 0, 0, + 2, 0, 0, 0, 3, 0, 1, 0, 3, 0, 0, 0, 3, 0, 0, 2, 0, 2, 0, 0, + 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 0, 2, 0, 0, 3, 3, 2, 3, 3, 0, + 1, 0, 2, 2, 0, 3, 3, 1, 1, 0, 2, 3, 2, 1, 1, 0, 1, 2, 1, 2, + 2, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 3, 3, 2, 0, 0, 1, 3, 0, 3, + 3, 0, 0, 0, 0, 3, 3, 1, 0, 0, 3, 3, 2, 1, 2, 1, 3, 3, 0, 1, + 3, 0, 2, 3, 1, 3, 3, 3, 3, 3, 0, 1, 1, 3, 0, 2, 2, 3, 1, 2, + 2, 2, 1, 3, 3, 0, 3, 0, 0, 2, 0, 2, 3, 0, 1, 3, 2, 2, 0, 0, + 2, 3, 0, 2, 2, 2, 3, 1, 0, 3, 3, 3, 3, 1, 0, 3, 3, 2, 0, 3, + 2, 0, 3, 0, 2, 0, 0, 2, 2, 1, 0, 2, 3, 1, 1, 1, 1, 2, 3, 3, + 3, 0, 0, 3, 3, 3, 2, 3, 3, 1, 2, 2, 3, 1, 2, 1, 1, 3, 0, 1, + 2, 0, 2, 0, 0, 1, 3, 2, 0, 1, 3, 2, 3, 3, 0, 0, 0, 1, 0, 3, + 3, 2, 2, 2, 1, 1, 2, 2, 1, 3, 2, 0, 1, 3, 2, 0, 2, 1, 3, 0, + 0, 0, 1, 3, 3, 2, 2, 2, 3, 1, 0, 0, 1, 1, 2, 1, 3, 1, 1, 2, + 2, 3, 2, 3, 0, 2, 3, 3, 0, 3, 0, 0, 1, 0, 0, 0, 1, 3, 1, 1, + 2, 3, 2, 1, 1, 2, 2, 2, 3, 0, 1, 1, 2, 1, 2, 0, 2, 3, 1, 3, + 0, 1, 1, 3, 0, 2, 3, 0, 1, 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 2, + 3, 0, 1, 1, 1, 1, 2, 0, 1, 2, 0, 1, 1, 1, 0, 1, 3, 2, 3, 1, + 0, 2, 1, 2, 1, 3, 3, 1, 0, 2, 2, 3, 1, 3, 1, 3, 0, 1, 0, 3, + 0, 3, 2, 0, 3, 3, 3, 0, 3, 2, 2, 2, 1, 3, 0, 0, 1, 1, 3, 0, + 1, 2, 1, 0, 0, 0, 3, 2, 2, 0, 0, 2, 1, 3, 0, 0, 3, 0, 0, 2, + 1, 1, 2, 2, 1, 3, 2, 2, 1, 1, 2, 1, 3, 2, 1, 1, 3, 0, 1, 3, + 3, 2, 2, 1, 0, 3, 2, 2, 2, 3, 0, 1, 3, 3, 2, 3, 0, 3, 2, 3, + 1, 1, 0, 0, 0, 2, 3, 0, 3, 0, 1, 1, 3, 1, 3, 2, 1, 1, 2, 1, + 3, 2, 0, 2, 1, 0, 2, 3, 2, 3, 2, 1, 2, 3, 0, 0, 1, 1, 0, 0, + 2, 1, 0, 1, 2, 2, 2, 2, 0, 3, 3, 1, 0, 0, 0, 0, 3, 1, 1, 0, + 0, 0, 0, 1, 2, 2, 1, 3, 0, 2, 3, 2, 3, 2, 2, 1, 2, 2, 3, 3, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 2, 2, 3, 1, 1, 1, 0, 0, 0, 3, 0, + 1, 0, 3, 1, 1, 3, 0, 1, 2, 2, 0, 0, 3, 3, 3, 3, 2, 1, 0, 0, + 1, 0, 2, 0, 1, 1, 0, 0, 3, 3, 2, 1, 1, 1, 0, 1, 1, 2, 2, 1, + 1, 2, 0, 3, 1, 3, 1, 0, 3, 0, 3, 1, 1, 1, 0, 2, 0, 3, 1, 0, + 1, 0, 2, 0, 2, 3, 3, 3, 1, 2, 3, 2, 2, 0, 1, 1, 0, 3, 3, 1, + 3, 3, 2, 0, 2, 0, 2, 2, 3, 3, 3, 0, 2, 3, 3, 1, 3, 2, 2, 2, + 0, 2, 3, 0, 2, 0, 3, 2, 2, 1, 1, 0, 2, 2, 2, 0, 2, 2, 0, 1, + 3, 2, 1, 3, 2, 2, 0, 3, 3, 1, 2, 2, 0, 0, 3, 2, 1, 2, 2, 1, + 3, 1, 2, 0, 0, 1, 1, 2, 1, 3, 2, 2, 3, 0, 2, 1, 3, 2, 1, 3, + 2, 3, 3, 1, 2, 1, 2, 2, 0, 0, 0, 3, 0, 2, 3, 1, 0, 0, 2, 3, + 3, 2, 2, 1 +}; + +static data_t input2_data[ARRAY_SIZE] = +{ + 1, 1, 0, 3, 1, 2, 0, 0, 0, 0, 0, 2, 1, 2, 3, 0, 0, 3, 3, 2, + 2, 1, 2, 3, 3, 0, 2, 2, 1, 1, 2, 2, 0, 2, 2, 1, 2, 3, 2, 2, + 3, 3, 2, 2, 1, 1, 1, 1, 2, 1, 2, 2, 3, 3, 3, 0, 0, 3, 2, 3, + 2, 3, 1, 2, 1, 1, 2, 2, 0, 1, 0, 3, 2, 1, 1, 1, 2, 0, 1, 2, + 2, 0, 2, 1, 3, 3, 2, 3, 2, 0, 3, 1, 3, 3, 2, 0, 1, 0, 1, 1, + 2, 2, 1, 1, 2, 2, 1, 2, 3, 3, 1, 3, 2, 2, 2, 3, 3, 1, 0, 2, + 1, 0, 0, 0, 1, 1, 2, 0, 3, 2, 3, 3, 0, 2, 3, 1, 0, 0, 2, 1, + 2, 0, 2, 1, 1, 2, 3, 1, 3, 2, 1, 0, 0, 0, 0, 0, 2, 2, 0, 2, + 1, 2, 0, 3, 2, 2, 0, 0, 3, 2, 1, 1, 3, 0, 2, 0, 0, 1, 0, 2, + 3, 3, 1, 3, 3, 0, 0, 2, 2, 0, 0, 0, 1, 0, 0, 1, 3, 0, 2, 1, + 3, 2, 2, 1, 3, 2, 0, 1, 2, 2, 3, 2, 1, 1, 1, 1, 3, 0, 1, 3, + 2, 2, 3, 1, 1, 2, 0, 2, 1, 1, 2, 3, 1, 0, 1, 0, 1, 1, 0, 0, + 2, 0, 3, 0, 3, 0, 3, 2, 2, 3, 3, 2, 1, 0, 2, 2, 1, 1, 0, 3, + 3, 2, 2, 0, 0, 3, 0, 1, 0, 0, 1, 2, 0, 1, 3, 0, 1, 2, 2, 0, + 0, 3, 0, 3, 0, 1, 1, 2, 0, 0, 0, 3, 0, 0, 2, 1, 1, 1, 0, 2, + 1, 3, 1, 2, 0, 3, 0, 3, 1, 3, 0, 0, 2, 2, 2, 2, 3, 3, 2, 1, + 2, 2, 1, 1, 2, 2, 2, 2, 0, 3, 0, 0, 2, 0, 1, 2, 0, 3, 2, 3, + 2, 0, 2, 1, 2, 1, 0, 2, 1, 1, 3, 2, 2, 3, 1, 0, 3, 3, 1, 0, + 3, 2, 2, 0, 0, 3, 0, 0, 2, 0, 3, 2, 3, 1, 1, 0, 0, 2, 3, 0, + 0, 1, 1, 1, 2, 1, 3, 2, 1, 3, 0, 1, 3, 3, 1, 1, 1, 1, 1, 1, + 0, 0, 2, 3, 2, 2, 2, 3, 2, 3, 1, 2, 3, 2, 2, 2, 0, 1, 3, 0, + 1, 1, 0, 1, 0, 1, 1, 3, 3, 1, 2, 2, 3, 2, 0, 2, 2, 0, 1, 3, + 0, 1, 3, 2, 1, 3, 3, 2, 0, 1, 3, 2, 0, 2, 1, 1, 0, 3, 0, 1, + 1, 1, 1, 1, 3, 0, 0, 1, 0, 2, 3, 1, 3, 0, 2, 1, 3, 0, 3, 0, + 3, 2, 2, 0, 0, 2, 1, 3, 3, 2, 3, 2, 2, 1, 2, 2, 3, 0, 3, 2, + 2, 0, 3, 2, 3, 2, 0, 0, 1, 2, 0, 0, 2, 0, 0, 3, 3, 2, 0, 0, + 3, 3, 0, 2, 3, 1, 0, 1, 0, 2, 1, 0, 2, 1, 0, 1, 0, 3, 0, 2, + 2, 3, 0, 0, 2, 1, 0, 1, 0, 0, 0, 2, 2, 3, 2, 0, 3, 3, 2, 1, + 0, 0, 3, 1, 2, 3, 3, 1, 0, 3, 1, 1, 0, 3, 3, 3, 2, 2, 2, 0, + 1, 2, 0, 3, 0, 1, 0, 1, 1, 0, 1, 2, 0, 3, 2, 0, 1, 2, 2, 0, + 2, 0, 0, 1, 0, 3, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 1, 1, 1, 0, + 2, 1, 1, 3, 2, 0, 2, 1, 1, 0, 2, 2, 1, 3, 0, 2, 1, 0, 1, 2, + 0, 1, 3, 2, 3, 2, 1, 0, 2, 0, 2, 2, 3, 1, 1, 3, 2, 3, 2, 2, + 0, 2, 0, 0, 0, 3, 2, 0, 2, 2, 3, 3, 3, 2, 1, 2, 0, 0, 3, 0, + 2, 0, 3, 2, 2, 3, 0, 3, 2, 1, 2, 2, 1, 2, 0, 0, 3, 1, 2, 0, + 2, 3, 2, 2, 1, 1, 1, 3, 3, 3, 3, 3, 1, 3, 0, 1, 3, 2, 2, 1, + 0, 1, 1, 2, 1, 2, 3, 1, 2, 2, 1, 2, 1, 1, 0, 3, 3, 1, 1, 3, + 2, 0, 0, 1, 2, 0, 1, 3, 1, 0, 0, 2, 2, 3, 3, 0, 2, 3, 2, 1, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 3, 3, 3, 1, 3, 0, 3, 1, 1, 2, 2, + 2, 1, 0, 3, 2, 3, 0, 2, 3, 2, 3, 1, 2, 3, 3, 1, 2, 1, 0, 0, + 0, 3, 3, 3, 3, 0, 3, 3, 3, 3, 2, 1, 0, 3, 0, 3, 2, 3, 1, 0, + 0, 1, 3, 1, 0, 2, 2, 3, 1, 0, 2, 1, 1, 3, 1, 1, 3, 1, 2, 1, + 0, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 3, 3, 1, 0, 3, 1, 1, 2, 0, + 0, 0, 2, 3, 3, 2, 2, 3, 0, 2, 3, 1, 3, 3, 0, 2, 1, 2, 2, 2, + 1, 0, 1, 3, 2, 3, 1, 1, 2, 1, 1, 0, 0, 2, 3, 2, 1, 0, 3, 1, + 3, 0, 1, 1, 2, 2, 1, 3, 3, 1, 1, 0, 0, 3, 3, 0, 0, 0, 0, 0, + 3, 1, 3, 0, 0, 0, 3, 3, 2, 1, 3, 0, 1, 3, 1, 1, 1, 0, 1, 0, + 1, 2, 2, 2, 3, 3, 0, 2, 3, 2, 1, 3, 3, 1, 1, 3, 0, 3, 3, 2, + 1, 1, 2, 0, 3, 0, 1, 2, 1, 1, 0, 0, 1, 2, 2, 0, 3, 1, 1, 1, + 3, 3, 3, 1, 0, 3, 3, 2, 2, 2, 1, 2, 0, 1, 1, 3, 0, 3, 1, 0, + 2, 2, 0, 1, 2, 3, 2, 1, 2, 0, 3, 2, 1, 3, 0, 1, 2, 0, 3, 0, + 1, 1, 2, 1 +}; + +static data_t verify_data[ARRAY_SIZE] = +{ + 72, 75, 88, 101, 80, 88, 73, 75, 80, 81, 58, 75, 86, 65, 60, 80, 84, 83, 87, 83, + 108, 93, 85, 76, 72, 98, 79, 86, 80, 96, 91, 85, 72, 64, 70, 83, 68, 92, 51, 54, + 85, 85, 60, 58, 90, 64, 55, 69, 72, 48, 94, 77, 91, 83, 70, 69, 67, 77, 59, 50, + 67, 74, 77, 67, 67, 62, 72, 71, 68, 79, 54, 61, 67, 61, 55, 62, 78, 60, 53, 64, + 67, 69, 99, 68, 88, 60, 66, 63, 70, 62, 65, 50, 53, 66, 70, 72, 75, 78, 85, 95, + 71, 89, 70, 68, 86, 88, 58, 77, 84, 70, 65, 68, 73, 75, 91, 96, 105, 92, 76, 68, + 86, 69, 80, 59, 73, 83, 88, 75, 64, 63, 71, 99, 77, 77, 69, 55, 80, 73, 54, 73, + 87, 78, 60, 69, 65, 78, 86, 89, 95, 92, 63, 69, 89, 61, 80, 65, 70, 77, 89, 77, + 79, 79, 73, 92, 64, 81, 60, 78, 81, 80, 61, 63, 89, 65, 56, 83, 77, 65, 102, 70, + 98, 86, 96, 68, 72, 89, 73, 73, 70, 89, 84, 76, 48, 61, 63, 70, 70, 79, 50, 53, + 64, 63, 43, 51, 59, 62, 43, 63, 55, 77, 79, 74, 75, 74, 64, 44, 65, 69, 72, 66, + 54, 71, 74, 72, 69, 76, 68, 89, 94, 75, 65, 53, 85, 79, 65, 74, 82, 73, 58, 70, + 84, 77, 99, 72, 92, 84, 78, 62, 59, 83, 71, 74, 63, 85, 80, 78, 71, 72, 79, 83, + 73, 82, 60, 85, 76, 82, 60, 70, 82, 68, 54, 85, 84, 70, 86, 74, 100, 88, 98, 68, + 67, 87, 69, 73, 68, 88, 76, 71, 47, 43, 47, 80, 54, 65, 40, 37, 59, 53, 33, 48, + 62, 40, 36, 55, 36, 62, 53, 57, 70, 69, 45, 43, 53, 61, 42, 57, 56, 63, 51, 47, + 59, 75, 64, 89, 83, 75, 59, 75, 91, 92, 58, 64, 83, 74, 58, 60, 76, 66, 97, 69, + 90, 95, 92, 64, 78, 75, 77, 73, 65, 78, 82, 75, 47, 54, 59, 71, 59, 56, 53, 42, + 60, 55, 40, 51, 60, 46, 36, 59, 46, 57, 67, 43, 51, 53, 53, 38, 54, 56, 55, 48, + 41, 46, 63, 63, 80, 77, 89, 102, 89, 98, 74, 86, 98, 93, 63, 76, 98, 77, 48, 101, + 86, 88, 100, 82, 102, 90, 95, 75, 86, 103, 83, 98, 80, 104, 98, 86, 71, 74, 80, 90, + 86, 87, 73, 70, 81, 83, 55, 66, 90, 66, 58, 84, 77, 84, 93, 72, 99, 75, 85, 65, + 70, 89, 71, 82, 64, 79, 82, 80, 67, 73, 86, 101, 78, 97, 66, 64, 84, 80, 55, 64, + 79, 73, 51, 79, 89, 68, 94, 77, 109, 102, 82, 61, 66, 93, 88, 70, 82, 82, 85, 69, + 69, 72, 66, 97, 85, 90, 70, 59, 76, 89, 53, 56, 90, 79, 71, 64, 70, 67, 100, 92, + 106, 89, 83, 78, 73, 80, 70, 72, 65, 70, 92, 88, 57, 76, 55, 85, 66, 80, 61, 63, + 63, 78, 54, 58, 71, 73, 54, 63, 63, 62, 89, 76, 86, 81, 83, 54, 70, 81, 78, 64, + 56, 72, 74, 81, 75, 63, 68, 89, 65, 77, 58, 68, 75, 83, 52, 62, 82, 63, 55, 75, + 51, 70, 95, 66, 83, 77, 86, 61, 64, 77, 48, 70, 66, 82, 72, 75, 79, 71, 72, 89, + 78, 78, 66, 59, 91, 80, 55, 64, 79, 68, 54, 71, 67, 75, 87, 84, 100, 101, 76, 58, + 74, 82, 61, 74, 75, 97, 85, 79, 61, 55, 69, 68, 72, 65, 52, 64, 80, 73, 48, 54, + 71, 66, 42, 61, 66, 63, 92, 64, 85, 77, 73, 54, 74, 73, 76, 66, 62, 79, 85, 70, + 71, 84, 87, 81, 88, 86, 77, 77, 93, 88, 78, 71, 101, 89, 58, 84, 95, 81, 89, 97, + 104, 79, 83, 76, 90, 81, 91, 74, 70, 76, 91, 80, 51, 48, 56, 69, 47, 63, 54, 42, + 63, 63, 42, 52, 66, 56, 39, 59, 61, 52, 59, 63, 62, 68, 57, 35, 67, 58, 56, 52, + 61, 63, 60, 47, 85, 75, 89, 106, 88, 95, 74, 82, 107, 107, 64, 78, 98, 90, 62, 91, + 79, 87, 111, 84, 104, 106, 96, 68, 94, 99, 81, 89, 79, 105, 95, 86, 65, 63, 77, 89, + 66, 88, 56, 73, 82, 92, 41, 62, 85, 66, 50, 81, 57, 71, 77, 78, 86, 89, 77, 53, + 67, 78, 61, 63, 72, 82, 69, 66, 59, 46, 55, 70, 56, 64, 45, 50, 65, 64, 42, 56, + 78, 49, 51, 52, 38, 56, 72, 55, 73, 72, 61, 50, 63, 60, 47, 57, 55, 73, 53, 68, + 85, 88, 91, 96, 82, 89, 73, 76, 87, 86, 67, 69, 96, 84, 57, 89, 87, 89, 99, 88, + 104, 90, 85, 75, 88, 92, 85, 75, 74, 87, 103, 94, 55, 48, 56, 65, 72, 50, 45, 51, + 63, 62, 47, 57, 79, 53, 36, 63, 54, 68, 71, 59, 63, 61, 63, 41, 50, 73, 57, 59, + 56, 76, 73, 65, 61, 64, 61, 79, 53, 73, 57, 44, 61, 59, 59, 56, 81, 59, 49, 62, + 65, 55, 69, 72, 79, 70, 58, 57, 68, 61, 62, 50, 57, 60, 66, 66, 63, 77, 81, 89, + 85, 81, 76, 73, 78, 95, 59, 70, 81, 77, 46, 79, 78, 79, 83, 81, 84, 82, 85, 48, + 74, 85, 85, 74, 74, 80, 80, 74, 60, 76, 80, 97, 88, 93, 66, 66, 73, 84, 56, 70, + 90, 63, 58, 78, 73, 93, 90, 78, 94, 88, 82, 67, 85, 70, 81, 86, 74, 82, 88, 82, + 68, 73, 75, 91, 78, 97, 71, 66, 74, 85, 50, 59, 86, 77, 70, 74, 75, 74, 99, 82, + 99, 91, 86, 65, 80, 77, 72, 69, 60, 78, 90, 87, 79, 69, 74, 98, 70, 86, 81, 67, + 69, 78, 48, 65, 88, 70, 70, 70, 69, 72, 96, 90, 99, 82, 81, 76, 98, 73, 74, 71, + 69, 73, 94, 89 +}; + diff --git a/mt/an_matmul/matmul_gendata.pl b/mt/an_matmul/matmul_gendata.pl new file mode 100755 index 0000000..f21bb46 --- /dev/null +++ b/mt/an_matmul/matmul_gendata.pl @@ -0,0 +1,200 @@ +#!/usr/bin/perl -w +#========================================================================== +# matmul_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the matmul benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: matmul_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[ARRAY_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3d",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + + + +#-------------------------------------------------------------------------- +# Matmul +#-------------------------------------------------------------------------- + +# http://answers.oreilly.com/topic/418-how-to-multiply-matrices-in-perl/ + +sub mmult { + my ($m1,$m2) = @_; + my ($m1rows,$m1cols) = matdim($m1); + my ($m2rows,$m2cols) = matdim($m2); + + my $result = [ ]; + my ($i, $j, $k); + + for $i (range($m1rows)) { + for $j (range($m2cols)) { + for $k (range($m1cols)) { + $result->[$i][$j] += $m1->[$i][$k] * $m2->[$k][$j]; + } + } + } + return $result; +} + +sub range { 0 .. ($_[0] - 1) } + + +sub veclen { + my $ary_ref = $_[0]; + my $type = ref $ary_ref; + if ($type ne "ARRAY") { die "$type is bad array ref for $ary_ref" } + return scalar(@$ary_ref); +} + +sub matdim { + my $matrix = $_[0]; + my $rows = veclen($matrix); + my $cols = veclen($matrix->[0]); + return ($rows, $cols); +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + # create random input arrays + my $mat_values1; + my $mat_values2; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + $mat_values1->[$i][$j] = int(rand(4)); + $mat_values2->[$i][$j] = int(rand(4)); + } + } + + # perform matmul + my $mat_results = mmult( $mat_values1, $mat_values2 ); + + # translate 2d arrays to 1d-somethings (I don't know how to code in perl - Chris) + my @values1; + my @values2; + my @results; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + my $value1 = $mat_values1->[$i][$j]; + my $value2 = $mat_values2->[$i][$j]; + my $result = $mat_results->[$i][$j]; + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @results, $result ); + } + } + + print "\n\#define ARRAY_SIZE ".($opts{"size"}*$opts{"size"})." \n\n"; + print "\n\#define DIM_SIZE ".$opts{"size"}." \n\n"; + + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@results); + +} + +main(); + diff --git a/mt/an_matmul/matmul_mi.c b/mt/an_matmul/matmul_mi.c new file mode 100644 index 0000000..e7608fe --- /dev/null +++ b/mt/an_matmul/matmul_mi.c @@ -0,0 +1,196 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( j = 0; j < lda; j++ ) + for ( k = 0; k < lda; k++ ) + { + for ( i = 0; i < lda; i++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + int i, j, k, limit, end, kblock, iblock, r, jblock; + int tempA1; + int tempB1; + + limit = lda / 2; + if (coreid == 0){ + j = 0; + end = limit; + } else { + j = limit; + end = lda; + } + + kblock = 1; + iblock = 1; + jblock = 1; + for (; j < end; j+= jblock) + for ( k = 0; k < lda; k = k + kblock ) + { + r = j*lda + k; + tempA1 = A[r]; + + for ( i = 0; i < lda; i = i + iblock ) { + tempB1 = k*lda + i; + + C[i + j*lda] += tempA1*B[tempB1]; + + } + } + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + +// // Execute the provided, naive matmul +// barrier(); +// stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); +// +// +// // verify +// verify(ARRAY_SIZE, results_data, verify_data); +// +// // clear results from the first trial +// size_t i; +// if (coreid == 0) +// for (i=0; i < ARRAY_SIZE; i++) +// results_data[i] = 0; +// barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/an_vvadd/an_vvadd.c b/mt/an_vvadd/an_vvadd.c new file mode 100755 index 0000000..497b9bb --- /dev/null +++ b/mt/an_vvadd/an_vvadd.c @@ -0,0 +1,165 @@ +//************************************************************************** +// Vector-vector add benchmark +//-------------------------------------------------------------------------- +// Author : Andrew Waterman +// TA : Christopher Celio +// Student : +// +// This benchmark adds two vectors and writes the results to a +// third vector. The input data (and reference data) should be +// generated using the vvadd_gendata.pl perl script and dumped +// to a file named dataset.h + +// to print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DATA_SIZE, 10*_c/DATA_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %4ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %4ld, correct[%d]= %4ld\n", + i, (long) test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// vvadd function + +//perform in-place vvadd +void __attribute__((noinline)) vvadd(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + size_t i; + + // interleave accesses + for (i = coreid; i < n; i+=ncores) + { + x[i] = x[i] + y[i]; + } +} + +void __attribute__((noinline)) vvadd_opt(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[DATA_SIZE]; + + // because we're going to perform an in-place vvadd (and we're going to run + // it a couple of times) let's copy the input data to a temporary results + // array + + size_t i; + if (coreid == 0) + { + for (i = 0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + + + // Execute the provided, terrible vvadd + barrier(); + stats(vvadd(DATA_SIZE, results_data, input2_data); barrier()); + + + // verify + verify(DATA_SIZE, results_data, verify_data); + + // reset results from the first trial + if (coreid == 0) + { + for (i=0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + barrier(); + + + // Execute your faster vvadd + barrier(); + stats(vvadd_opt(DATA_SIZE, results_data, input2_data); barrier()); + +#ifdef DEBUG + printArray("results: ", DATA_SIZE, results_data); + printArray("verify : ", DATA_SIZE, verify_data); +#endif + + // verify + verify(DATA_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/an_vvadd/dataset.h b/mt/an_vvadd/dataset.h new file mode 100755 index 0000000..ce9f936 --- /dev/null +++ b/mt/an_vvadd/dataset.h @@ -0,0 +1,165 @@ + +#define DATA_SIZE 1000 + +static data_t input1_data[DATA_SIZE] = +{ + 0.00, 15.00, 10.00, 3.00, 14.00, 6.00, 2.00, 18.00, 11.00, 15.00, 11.00, 0.00, 17.00, 16.00, 7.00, 13.00, 18.00, 2.00, 2.00, 5.00, + 8.00, 5.00, 12.00, 14.00, 6.00, 12.00, 16.00, 7.00, 9.00, 17.00, 10.00, 10.00, 3.00, 5.00, 14.00, 11.00, 9.00, 12.00, 3.00, 1.00, + 5.00, 4.00, 6.00, 17.00, 17.00, 4.00, 17.00, 15.00, 17.00, 18.00, 3.00, 18.00, 10.00, 6.00, 12.00, 12.00, 3.00, 2.00, 16.00, 1.00, + 5.00, 6.00, 2.00, 17.00, 16.00, 5.00, 10.00, 18.00, 14.00, 4.00, 9.00, 9.00, 7.00, 4.00, 8.00, 13.00, 12.00, 6.00, 4.00, 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12.00, 11.00, 17.00, 4.00, 13.00, 7.00, 16.00, 12.00, 7.00, 18.00 +}; + +static data_t input2_data[DATA_SIZE] = +{ + 8.00, 6.00, 0.00, 18.00, 6.00, 10.00, 1.00, 2.00, 4.00, 2.00, 4.00, 10.00, 6.00, 11.00, 17.00, 4.00, 0.00, 16.00, 14.00, 12.00, + 9.00, 8.00, 13.00, 15.00, 18.00, 2.00, 13.00, 10.00, 5.00, 4.00, 12.00, 9.00, 1.00, 13.00, 12.00, 7.00, 10.00, 17.00, 11.00, 10.00, + 18.00, 15.00, 11.00, 12.00, 7.00, 9.00, 6.00, 5.00, 11.00, 7.00, 10.00, 12.00, 18.00, 18.00, 15.00, 1.00, 3.00, 18.00, 11.00, 16.00, + 13.00, 18.00, 4.00, 13.00, 8.00, 7.00, 10.00, 13.00, 0.00, 9.00, 1.00, 16.00, 13.00, 7.00, 5.00, 5.00, 11.00, 1.00, 6.00, 10.00, + 12.00, 3.00, 10.00, 5.00, 15.00, 15.00, 13.00, 14.00, 14.00, 1.00, 18.00, 5.00, 16.00, 14.00, 10.00, 4.00, 8.00, 4.00, 6.00, 6.00, + 13.00, 14.00, 8.00, 5.00, 14.00, 10.00, 9.00, 10.00, 17.00, 15.00, 6.00, 16.00, 12.00, 9.00, 10.00, 16.00, 16.00, 8.00, 1.00, 12.00, + 7.00, 0.00, 0.00, 3.00, 5.00, 7.00, 10.00, 3.00, 17.00, 10.00, 18.00, 16.00, 1.00, 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22.00, 10.00, + 24.00, 2.00, 17.00, 9.00, 22.00, 30.00, 24.00, 33.00, 25.00, 17.00, 23.00, 9.00, 13.00, 15.00, 23.00, 10.00, 1.00, 22.00, 17.00, 10.00, + 32.00, 24.00, 26.00, 4.00, 15.00, 0.00, 27.00, 23.00, 28.00, 23.00, 30.00, 7.00, 16.00, 33.00, 20.00, 14.00, 23.00, 14.00, 20.00, 14.00, + 7.00, 25.00, 24.00, 12.00, 29.00, 16.00, 17.00, 20.00, 29.00, 16.00, 13.00, 18.00, 26.00, 18.00, 18.00, 17.00, 13.00, 29.00, 14.00, 17.00, + 24.00, 16.00, 21.00, 14.00, 26.00, 9.00, 11.00, 28.00, 25.00, 15.00, 15.00, 12.00, 6.00, 14.00, 27.00, 14.00, 24.00, 18.00, 18.00, 14.00, + 32.00, 21.00, 26.00, 13.00, 6.00, 24.00, 22.00, 27.00, 17.00, 26.00, 19.00, 21.00, 19.00, 9.00, 21.00, 25.00, 17.00, 27.00, 15.00, 18.00 +}; + diff --git a/mt/an_vvadd/vvadd_gendata.pl b/mt/an_vvadd/vvadd_gendata.pl new file mode 100755 index 0000000..a9fceac --- /dev/null +++ b/mt/an_vvadd/vvadd_gendata.pl @@ -0,0 +1,139 @@ +#!/usr/bin/perl -w +#========================================================================== +# vvadd_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the vvadd benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: vvadd_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[DATA_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3.2f",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + my @values1; + my @values2; + my @sum; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + my $value1 = int(rand(19)); + my $value2 = int(rand(19)); + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @sum, $value1 + $value2 ); + } + + + print "\n\#define DATA_SIZE ".$opts{"size"}." \n\n"; + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@sum ); + +} + +main(); + diff --git a/mt/ap_matmul/ap_matmul.c b/mt/ap_matmul/ap_matmul.c new file mode 100755 index 0000000..ae1c84c --- /dev/null +++ b/mt/ap_matmul/ap_matmul.c @@ -0,0 +1,238 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: ME STEPHANIE TUNG +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + int i, j, k, ii, jj, kk; + int block = lda / ncores; + int leftover = lda % ncores; + int start = block * coreid; + + + + for ( j = start; j < (start+block); j++ ) + for ( k = 0; k < lda; k++ ) + { + for ( i = 0; i < lda; i++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } +/* + + + for ( j = coreid; j < lda; j += ncores ) + for ( k = 0; k < lda; k++ ) + { + for ( i = 0; i < lda; i++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +/* + if (coreid > 0) { + return; + } + + for ( j = (lda - leftover); j < lda; j++ ) + for ( i = 0; i < lda; i++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + + + +if (coreid > 0) { + return; +} + + + +for (jj = start; jj < start+block; jj += 4) { + for (kk = 0; kk < lda; kk += 4) { + for (ii = 0; ii < lda; ii += 4) { + for (i = ii; i < ii+4; i += 4) { + //float * p = B + i; + for (j = jj; j < jj+4; j++) { + for (k = kk; k < kk+4; k++) { + + float a = A[k + j*lda]; + + C[i + j*lda] += a * B[k*lda + i]; + C[i + j*lda + 1] += a * B[k*lda + i + 1]; + C[i + j*lda + 2] += a * B[k*lda + i + 2]; + C[i + j*lda + 3] += a * B[k*lda + i + 3]; + } + } + } + } + } +} + +*/ + +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + +// // Execute the provided, naive matmul +// barrier(); +// stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); +// +// +// // verify +// verify(ARRAY_SIZE, results_data, verify_data); +// +// // clear results from the first trial +// size_t i; +// if (coreid == 0) +// for (i=0; i < ARRAY_SIZE; i++) +// results_data[i] = 0; +// barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/ap_matmul/dataset.h b/mt/ap_matmul/dataset.h new file mode 100755 index 0000000..dde3ee4 --- /dev/null +++ b/mt/ap_matmul/dataset.h @@ -0,0 +1,174 @@ + +#define ARRAY_SIZE 1024 + + +#define DIM_SIZE 32 + +static data_t input1_data[ARRAY_SIZE] = +{ + 0, 3, 2, 0, 3, 1, 0, 3, 2, 3, 2, 0, 3, 3, 1, 2, 3, 0, 0, 1, + 1, 1, 2, 3, 1, 2, 3, 1, 1, 3, 2, 2, 0, 1, 3, 2, 2, 2, 0, 0, + 1, 0, 1, 3, 3, 0, 3, 3, 3, 3, 0, 3, 2, 1, 2, 2, 0, 0, 3, 0, + 1, 1, 0, 3, 3, 1, 2, 3, 3, 0, 1, 2, 1, 0, 1, 2, 2, 1, 0, 3, + 1, 0, 2, 2, 1, 1, 1, 1, 1, 1, 2, 0, 3, 1, 1, 2, 2, 3, 3, 1, + 3, 2, 0, 0, 0, 3, 3, 3, 2, 1, 2, 3, 1, 0, 0, 0, 0, 1, 2, 2, + 1, 1, 3, 3, 3, 1, 1, 2, 3, 1, 3, 3, 2, 3, 2, 1, 2, 3, 0, 2, + 2, 1, 1, 0, 0, 0, 0, 0, 1, 3, 3, 1, 1, 1, 2, 2, 3, 2, 1, 1, + 1, 1, 3, 0, 2, 2, 1, 3, 2, 1, 2, 2, 1, 3, 1, 3, 1, 3, 2, 3, + 1, 2, 1, 3, 2, 2, 0, 1, 0, 0, 1, 2, 3, 3, 1, 0, 0, 0, 3, 1, + 2, 3, 2, 3, 2, 0, 0, 0, 0, 0, 3, 1, 3, 0, 0, 0, 3, 1, 1, 1, + 1, 2, 1, 2, 3, 2, 0, 0, 2, 2, 3, 0, 3, 0, 0, 3, 0, 3, 1, 3, + 3, 1, 1, 1, 2, 2, 1, 3, 0, 3, 3, 1, 0, 0, 3, 2, 1, 3, 3, 3, + 1, 0, 1, 1, 2, 1, 0, 1, 1, 2, 2, 3, 1, 2, 2, 2, 0, 1, 3, 3, + 3, 2, 2, 1, 0, 1, 2, 0, 1, 1, 1, 1, 2, 3, 2, 2, 3, 3, 0, 0, + 2, 0, 0, 0, 3, 0, 1, 0, 3, 0, 0, 0, 3, 0, 0, 2, 0, 2, 0, 0, + 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 0, 2, 0, 0, 3, 3, 2, 3, 3, 0, + 1, 0, 2, 2, 0, 3, 3, 1, 1, 0, 2, 3, 2, 1, 1, 0, 1, 2, 1, 2, + 2, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 3, 3, 2, 0, 0, 1, 3, 0, 3, + 3, 0, 0, 0, 0, 3, 3, 1, 0, 0, 3, 3, 2, 1, 2, 1, 3, 3, 0, 1, + 3, 0, 2, 3, 1, 3, 3, 3, 3, 3, 0, 1, 1, 3, 0, 2, 2, 3, 1, 2, + 2, 2, 1, 3, 3, 0, 3, 0, 0, 2, 0, 2, 3, 0, 1, 3, 2, 2, 0, 0, + 2, 3, 0, 2, 2, 2, 3, 1, 0, 3, 3, 3, 3, 1, 0, 3, 3, 2, 0, 3, + 2, 0, 3, 0, 2, 0, 0, 2, 2, 1, 0, 2, 3, 1, 1, 1, 1, 2, 3, 3, + 3, 0, 0, 3, 3, 3, 2, 3, 3, 1, 2, 2, 3, 1, 2, 1, 1, 3, 0, 1, + 2, 0, 2, 0, 0, 1, 3, 2, 0, 1, 3, 2, 3, 3, 0, 0, 0, 1, 0, 3, + 3, 2, 2, 2, 1, 1, 2, 2, 1, 3, 2, 0, 1, 3, 2, 0, 2, 1, 3, 0, + 0, 0, 1, 3, 3, 2, 2, 2, 3, 1, 0, 0, 1, 1, 2, 1, 3, 1, 1, 2, + 2, 3, 2, 3, 0, 2, 3, 3, 0, 3, 0, 0, 1, 0, 0, 0, 1, 3, 1, 1, + 2, 3, 2, 1, 1, 2, 2, 2, 3, 0, 1, 1, 2, 1, 2, 0, 2, 3, 1, 3, + 0, 1, 1, 3, 0, 2, 3, 0, 1, 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 2, + 3, 0, 1, 1, 1, 1, 2, 0, 1, 2, 0, 1, 1, 1, 0, 1, 3, 2, 3, 1, + 0, 2, 1, 2, 1, 3, 3, 1, 0, 2, 2, 3, 1, 3, 1, 3, 0, 1, 0, 3, + 0, 3, 2, 0, 3, 3, 3, 0, 3, 2, 2, 2, 1, 3, 0, 0, 1, 1, 3, 0, + 1, 2, 1, 0, 0, 0, 3, 2, 2, 0, 0, 2, 1, 3, 0, 0, 3, 0, 0, 2, + 1, 1, 2, 2, 1, 3, 2, 2, 1, 1, 2, 1, 3, 2, 1, 1, 3, 0, 1, 3, + 3, 2, 2, 1, 0, 3, 2, 2, 2, 3, 0, 1, 3, 3, 2, 3, 0, 3, 2, 3, + 1, 1, 0, 0, 0, 2, 3, 0, 3, 0, 1, 1, 3, 1, 3, 2, 1, 1, 2, 1, + 3, 2, 0, 2, 1, 0, 2, 3, 2, 3, 2, 1, 2, 3, 0, 0, 1, 1, 0, 0, + 2, 1, 0, 1, 2, 2, 2, 2, 0, 3, 3, 1, 0, 0, 0, 0, 3, 1, 1, 0, + 0, 0, 0, 1, 2, 2, 1, 3, 0, 2, 3, 2, 3, 2, 2, 1, 2, 2, 3, 3, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 2, 2, 3, 1, 1, 1, 0, 0, 0, 3, 0, + 1, 0, 3, 1, 1, 3, 0, 1, 2, 2, 0, 0, 3, 3, 3, 3, 2, 1, 0, 0, + 1, 0, 2, 0, 1, 1, 0, 0, 3, 3, 2, 1, 1, 1, 0, 1, 1, 2, 2, 1, + 1, 2, 0, 3, 1, 3, 1, 0, 3, 0, 3, 1, 1, 1, 0, 2, 0, 3, 1, 0, + 1, 0, 2, 0, 2, 3, 3, 3, 1, 2, 3, 2, 2, 0, 1, 1, 0, 3, 3, 1, + 3, 3, 2, 0, 2, 0, 2, 2, 3, 3, 3, 0, 2, 3, 3, 1, 3, 2, 2, 2, + 0, 2, 3, 0, 2, 0, 3, 2, 2, 1, 1, 0, 2, 2, 2, 0, 2, 2, 0, 1, + 3, 2, 1, 3, 2, 2, 0, 3, 3, 1, 2, 2, 0, 0, 3, 2, 1, 2, 2, 1, + 3, 1, 2, 0, 0, 1, 1, 2, 1, 3, 2, 2, 3, 0, 2, 1, 3, 2, 1, 3, + 2, 3, 3, 1, 2, 1, 2, 2, 0, 0, 0, 3, 0, 2, 3, 1, 0, 0, 2, 3, + 3, 2, 2, 1 +}; + +static data_t input2_data[ARRAY_SIZE] = +{ + 1, 1, 0, 3, 1, 2, 0, 0, 0, 0, 0, 2, 1, 2, 3, 0, 0, 3, 3, 2, + 2, 1, 2, 3, 3, 0, 2, 2, 1, 1, 2, 2, 0, 2, 2, 1, 2, 3, 2, 2, + 3, 3, 2, 2, 1, 1, 1, 1, 2, 1, 2, 2, 3, 3, 3, 0, 0, 3, 2, 3, + 2, 3, 1, 2, 1, 1, 2, 2, 0, 1, 0, 3, 2, 1, 1, 1, 2, 0, 1, 2, + 2, 0, 2, 1, 3, 3, 2, 3, 2, 0, 3, 1, 3, 3, 2, 0, 1, 0, 1, 1, + 2, 2, 1, 1, 2, 2, 1, 2, 3, 3, 1, 3, 2, 2, 2, 3, 3, 1, 0, 2, + 1, 0, 0, 0, 1, 1, 2, 0, 3, 2, 3, 3, 0, 2, 3, 1, 0, 0, 2, 1, + 2, 0, 2, 1, 1, 2, 3, 1, 3, 2, 1, 0, 0, 0, 0, 0, 2, 2, 0, 2, + 1, 2, 0, 3, 2, 2, 0, 0, 3, 2, 1, 1, 3, 0, 2, 0, 0, 1, 0, 2, + 3, 3, 1, 3, 3, 0, 0, 2, 2, 0, 0, 0, 1, 0, 0, 1, 3, 0, 2, 1, + 3, 2, 2, 1, 3, 2, 0, 1, 2, 2, 3, 2, 1, 1, 1, 1, 3, 0, 1, 3, + 2, 2, 3, 1, 1, 2, 0, 2, 1, 1, 2, 3, 1, 0, 1, 0, 1, 1, 0, 0, + 2, 0, 3, 0, 3, 0, 3, 2, 2, 3, 3, 2, 1, 0, 2, 2, 1, 1, 0, 3, + 3, 2, 2, 0, 0, 3, 0, 1, 0, 0, 1, 2, 0, 1, 3, 0, 1, 2, 2, 0, + 0, 3, 0, 3, 0, 1, 1, 2, 0, 0, 0, 3, 0, 0, 2, 1, 1, 1, 0, 2, + 1, 3, 1, 2, 0, 3, 0, 3, 1, 3, 0, 0, 2, 2, 2, 2, 3, 3, 2, 1, + 2, 2, 1, 1, 2, 2, 2, 2, 0, 3, 0, 0, 2, 0, 1, 2, 0, 3, 2, 3, + 2, 0, 2, 1, 2, 1, 0, 2, 1, 1, 3, 2, 2, 3, 1, 0, 3, 3, 1, 0, + 3, 2, 2, 0, 0, 3, 0, 0, 2, 0, 3, 2, 3, 1, 1, 0, 0, 2, 3, 0, + 0, 1, 1, 1, 2, 1, 3, 2, 1, 3, 0, 1, 3, 3, 1, 1, 1, 1, 1, 1, + 0, 0, 2, 3, 2, 2, 2, 3, 2, 3, 1, 2, 3, 2, 2, 2, 0, 1, 3, 0, + 1, 1, 0, 1, 0, 1, 1, 3, 3, 1, 2, 2, 3, 2, 0, 2, 2, 0, 1, 3, + 0, 1, 3, 2, 1, 3, 3, 2, 0, 1, 3, 2, 0, 2, 1, 1, 0, 3, 0, 1, + 1, 1, 1, 1, 3, 0, 0, 1, 0, 2, 3, 1, 3, 0, 2, 1, 3, 0, 3, 0, + 3, 2, 2, 0, 0, 2, 1, 3, 3, 2, 3, 2, 2, 1, 2, 2, 3, 0, 3, 2, + 2, 0, 3, 2, 3, 2, 0, 0, 1, 2, 0, 0, 2, 0, 0, 3, 3, 2, 0, 0, + 3, 3, 0, 2, 3, 1, 0, 1, 0, 2, 1, 0, 2, 1, 0, 1, 0, 3, 0, 2, + 2, 3, 0, 0, 2, 1, 0, 1, 0, 0, 0, 2, 2, 3, 2, 0, 3, 3, 2, 1, + 0, 0, 3, 1, 2, 3, 3, 1, 0, 3, 1, 1, 0, 3, 3, 3, 2, 2, 2, 0, + 1, 2, 0, 3, 0, 1, 0, 1, 1, 0, 1, 2, 0, 3, 2, 0, 1, 2, 2, 0, + 2, 0, 0, 1, 0, 3, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 1, 1, 1, 0, + 2, 1, 1, 3, 2, 0, 2, 1, 1, 0, 2, 2, 1, 3, 0, 2, 1, 0, 1, 2, + 0, 1, 3, 2, 3, 2, 1, 0, 2, 0, 2, 2, 3, 1, 1, 3, 2, 3, 2, 2, + 0, 2, 0, 0, 0, 3, 2, 0, 2, 2, 3, 3, 3, 2, 1, 2, 0, 0, 3, 0, + 2, 0, 3, 2, 2, 3, 0, 3, 2, 1, 2, 2, 1, 2, 0, 0, 3, 1, 2, 0, + 2, 3, 2, 2, 1, 1, 1, 3, 3, 3, 3, 3, 1, 3, 0, 1, 3, 2, 2, 1, + 0, 1, 1, 2, 1, 2, 3, 1, 2, 2, 1, 2, 1, 1, 0, 3, 3, 1, 1, 3, + 2, 0, 0, 1, 2, 0, 1, 3, 1, 0, 0, 2, 2, 3, 3, 0, 2, 3, 2, 1, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 3, 3, 3, 1, 3, 0, 3, 1, 1, 2, 2, + 2, 1, 0, 3, 2, 3, 0, 2, 3, 2, 3, 1, 2, 3, 3, 1, 2, 1, 0, 0, + 0, 3, 3, 3, 3, 0, 3, 3, 3, 3, 2, 1, 0, 3, 0, 3, 2, 3, 1, 0, + 0, 1, 3, 1, 0, 2, 2, 3, 1, 0, 2, 1, 1, 3, 1, 1, 3, 1, 2, 1, + 0, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 3, 3, 1, 0, 3, 1, 1, 2, 0, + 0, 0, 2, 3, 3, 2, 2, 3, 0, 2, 3, 1, 3, 3, 0, 2, 1, 2, 2, 2, + 1, 0, 1, 3, 2, 3, 1, 1, 2, 1, 1, 0, 0, 2, 3, 2, 1, 0, 3, 1, + 3, 0, 1, 1, 2, 2, 1, 3, 3, 1, 1, 0, 0, 3, 3, 0, 0, 0, 0, 0, + 3, 1, 3, 0, 0, 0, 3, 3, 2, 1, 3, 0, 1, 3, 1, 1, 1, 0, 1, 0, + 1, 2, 2, 2, 3, 3, 0, 2, 3, 2, 1, 3, 3, 1, 1, 3, 0, 3, 3, 2, + 1, 1, 2, 0, 3, 0, 1, 2, 1, 1, 0, 0, 1, 2, 2, 0, 3, 1, 1, 1, + 3, 3, 3, 1, 0, 3, 3, 2, 2, 2, 1, 2, 0, 1, 1, 3, 0, 3, 1, 0, + 2, 2, 0, 1, 2, 3, 2, 1, 2, 0, 3, 2, 1, 3, 0, 1, 2, 0, 3, 0, + 1, 1, 2, 1 +}; + +static data_t verify_data[ARRAY_SIZE] = +{ + 72, 75, 88, 101, 80, 88, 73, 75, 80, 81, 58, 75, 86, 65, 60, 80, 84, 83, 87, 83, + 108, 93, 85, 76, 72, 98, 79, 86, 80, 96, 91, 85, 72, 64, 70, 83, 68, 92, 51, 54, + 85, 85, 60, 58, 90, 64, 55, 69, 72, 48, 94, 77, 91, 83, 70, 69, 67, 77, 59, 50, + 67, 74, 77, 67, 67, 62, 72, 71, 68, 79, 54, 61, 67, 61, 55, 62, 78, 60, 53, 64, + 67, 69, 99, 68, 88, 60, 66, 63, 70, 62, 65, 50, 53, 66, 70, 72, 75, 78, 85, 95, + 71, 89, 70, 68, 86, 88, 58, 77, 84, 70, 65, 68, 73, 75, 91, 96, 105, 92, 76, 68, + 86, 69, 80, 59, 73, 83, 88, 75, 64, 63, 71, 99, 77, 77, 69, 55, 80, 73, 54, 73, + 87, 78, 60, 69, 65, 78, 86, 89, 95, 92, 63, 69, 89, 61, 80, 65, 70, 77, 89, 77, + 79, 79, 73, 92, 64, 81, 60, 78, 81, 80, 61, 63, 89, 65, 56, 83, 77, 65, 102, 70, + 98, 86, 96, 68, 72, 89, 73, 73, 70, 89, 84, 76, 48, 61, 63, 70, 70, 79, 50, 53, + 64, 63, 43, 51, 59, 62, 43, 63, 55, 77, 79, 74, 75, 74, 64, 44, 65, 69, 72, 66, + 54, 71, 74, 72, 69, 76, 68, 89, 94, 75, 65, 53, 85, 79, 65, 74, 82, 73, 58, 70, + 84, 77, 99, 72, 92, 84, 78, 62, 59, 83, 71, 74, 63, 85, 80, 78, 71, 72, 79, 83, + 73, 82, 60, 85, 76, 82, 60, 70, 82, 68, 54, 85, 84, 70, 86, 74, 100, 88, 98, 68, + 67, 87, 69, 73, 68, 88, 76, 71, 47, 43, 47, 80, 54, 65, 40, 37, 59, 53, 33, 48, + 62, 40, 36, 55, 36, 62, 53, 57, 70, 69, 45, 43, 53, 61, 42, 57, 56, 63, 51, 47, + 59, 75, 64, 89, 83, 75, 59, 75, 91, 92, 58, 64, 83, 74, 58, 60, 76, 66, 97, 69, + 90, 95, 92, 64, 78, 75, 77, 73, 65, 78, 82, 75, 47, 54, 59, 71, 59, 56, 53, 42, + 60, 55, 40, 51, 60, 46, 36, 59, 46, 57, 67, 43, 51, 53, 53, 38, 54, 56, 55, 48, + 41, 46, 63, 63, 80, 77, 89, 102, 89, 98, 74, 86, 98, 93, 63, 76, 98, 77, 48, 101, + 86, 88, 100, 82, 102, 90, 95, 75, 86, 103, 83, 98, 80, 104, 98, 86, 71, 74, 80, 90, + 86, 87, 73, 70, 81, 83, 55, 66, 90, 66, 58, 84, 77, 84, 93, 72, 99, 75, 85, 65, + 70, 89, 71, 82, 64, 79, 82, 80, 67, 73, 86, 101, 78, 97, 66, 64, 84, 80, 55, 64, + 79, 73, 51, 79, 89, 68, 94, 77, 109, 102, 82, 61, 66, 93, 88, 70, 82, 82, 85, 69, + 69, 72, 66, 97, 85, 90, 70, 59, 76, 89, 53, 56, 90, 79, 71, 64, 70, 67, 100, 92, + 106, 89, 83, 78, 73, 80, 70, 72, 65, 70, 92, 88, 57, 76, 55, 85, 66, 80, 61, 63, + 63, 78, 54, 58, 71, 73, 54, 63, 63, 62, 89, 76, 86, 81, 83, 54, 70, 81, 78, 64, + 56, 72, 74, 81, 75, 63, 68, 89, 65, 77, 58, 68, 75, 83, 52, 62, 82, 63, 55, 75, + 51, 70, 95, 66, 83, 77, 86, 61, 64, 77, 48, 70, 66, 82, 72, 75, 79, 71, 72, 89, + 78, 78, 66, 59, 91, 80, 55, 64, 79, 68, 54, 71, 67, 75, 87, 84, 100, 101, 76, 58, + 74, 82, 61, 74, 75, 97, 85, 79, 61, 55, 69, 68, 72, 65, 52, 64, 80, 73, 48, 54, + 71, 66, 42, 61, 66, 63, 92, 64, 85, 77, 73, 54, 74, 73, 76, 66, 62, 79, 85, 70, + 71, 84, 87, 81, 88, 86, 77, 77, 93, 88, 78, 71, 101, 89, 58, 84, 95, 81, 89, 97, + 104, 79, 83, 76, 90, 81, 91, 74, 70, 76, 91, 80, 51, 48, 56, 69, 47, 63, 54, 42, + 63, 63, 42, 52, 66, 56, 39, 59, 61, 52, 59, 63, 62, 68, 57, 35, 67, 58, 56, 52, + 61, 63, 60, 47, 85, 75, 89, 106, 88, 95, 74, 82, 107, 107, 64, 78, 98, 90, 62, 91, + 79, 87, 111, 84, 104, 106, 96, 68, 94, 99, 81, 89, 79, 105, 95, 86, 65, 63, 77, 89, + 66, 88, 56, 73, 82, 92, 41, 62, 85, 66, 50, 81, 57, 71, 77, 78, 86, 89, 77, 53, + 67, 78, 61, 63, 72, 82, 69, 66, 59, 46, 55, 70, 56, 64, 45, 50, 65, 64, 42, 56, + 78, 49, 51, 52, 38, 56, 72, 55, 73, 72, 61, 50, 63, 60, 47, 57, 55, 73, 53, 68, + 85, 88, 91, 96, 82, 89, 73, 76, 87, 86, 67, 69, 96, 84, 57, 89, 87, 89, 99, 88, + 104, 90, 85, 75, 88, 92, 85, 75, 74, 87, 103, 94, 55, 48, 56, 65, 72, 50, 45, 51, + 63, 62, 47, 57, 79, 53, 36, 63, 54, 68, 71, 59, 63, 61, 63, 41, 50, 73, 57, 59, + 56, 76, 73, 65, 61, 64, 61, 79, 53, 73, 57, 44, 61, 59, 59, 56, 81, 59, 49, 62, + 65, 55, 69, 72, 79, 70, 58, 57, 68, 61, 62, 50, 57, 60, 66, 66, 63, 77, 81, 89, + 85, 81, 76, 73, 78, 95, 59, 70, 81, 77, 46, 79, 78, 79, 83, 81, 84, 82, 85, 48, + 74, 85, 85, 74, 74, 80, 80, 74, 60, 76, 80, 97, 88, 93, 66, 66, 73, 84, 56, 70, + 90, 63, 58, 78, 73, 93, 90, 78, 94, 88, 82, 67, 85, 70, 81, 86, 74, 82, 88, 82, + 68, 73, 75, 91, 78, 97, 71, 66, 74, 85, 50, 59, 86, 77, 70, 74, 75, 74, 99, 82, + 99, 91, 86, 65, 80, 77, 72, 69, 60, 78, 90, 87, 79, 69, 74, 98, 70, 86, 81, 67, + 69, 78, 48, 65, 88, 70, 70, 70, 69, 72, 96, 90, 99, 82, 81, 76, 98, 73, 74, 71, + 69, 73, 94, 89 +}; + diff --git a/mt/ap_matmul/matmul_gendata.pl b/mt/ap_matmul/matmul_gendata.pl new file mode 100755 index 0000000..f21bb46 --- /dev/null +++ b/mt/ap_matmul/matmul_gendata.pl @@ -0,0 +1,200 @@ +#!/usr/bin/perl -w +#========================================================================== +# matmul_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the matmul benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: matmul_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[ARRAY_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3d",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + + + +#-------------------------------------------------------------------------- +# Matmul +#-------------------------------------------------------------------------- + +# http://answers.oreilly.com/topic/418-how-to-multiply-matrices-in-perl/ + +sub mmult { + my ($m1,$m2) = @_; + my ($m1rows,$m1cols) = matdim($m1); + my ($m2rows,$m2cols) = matdim($m2); + + my $result = [ ]; + my ($i, $j, $k); + + for $i (range($m1rows)) { + for $j (range($m2cols)) { + for $k (range($m1cols)) { + $result->[$i][$j] += $m1->[$i][$k] * $m2->[$k][$j]; + } + } + } + return $result; +} + +sub range { 0 .. ($_[0] - 1) } + + +sub veclen { + my $ary_ref = $_[0]; + my $type = ref $ary_ref; + if ($type ne "ARRAY") { die "$type is bad array ref for $ary_ref" } + return scalar(@$ary_ref); +} + +sub matdim { + my $matrix = $_[0]; + my $rows = veclen($matrix); + my $cols = veclen($matrix->[0]); + return ($rows, $cols); +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + # create random input arrays + my $mat_values1; + my $mat_values2; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + $mat_values1->[$i][$j] = int(rand(4)); + $mat_values2->[$i][$j] = int(rand(4)); + } + } + + # perform matmul + my $mat_results = mmult( $mat_values1, $mat_values2 ); + + # translate 2d arrays to 1d-somethings (I don't know how to code in perl - Chris) + my @values1; + my @values2; + my @results; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + my $value1 = $mat_values1->[$i][$j]; + my $value2 = $mat_values2->[$i][$j]; + my $result = $mat_results->[$i][$j]; + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @results, $result ); + } + } + + print "\n\#define ARRAY_SIZE ".($opts{"size"}*$opts{"size"})." \n\n"; + print "\n\#define DIM_SIZE ".$opts{"size"}." \n\n"; + + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@results); + +} + +main(); + diff --git a/mt/ap_matmul/matmul_mi.c b/mt/ap_matmul/matmul_mi.c new file mode 100755 index 0000000..ae1c84c --- /dev/null +++ b/mt/ap_matmul/matmul_mi.c @@ -0,0 +1,238 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: ME STEPHANIE TUNG +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + int i, j, k, ii, jj, kk; + int block = lda / ncores; + int leftover = lda % ncores; + int start = block * coreid; + + + + for ( j = start; j < (start+block); j++ ) + for ( k = 0; k < lda; k++ ) + { + for ( i = 0; i < lda; i++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } +/* + + + for ( j = coreid; j < lda; j += ncores ) + for ( k = 0; k < lda; k++ ) + { + for ( i = 0; i < lda; i++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +/* + if (coreid > 0) { + return; + } + + for ( j = (lda - leftover); j < lda; j++ ) + for ( i = 0; i < lda; i++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + + + +if (coreid > 0) { + return; +} + + + +for (jj = start; jj < start+block; jj += 4) { + for (kk = 0; kk < lda; kk += 4) { + for (ii = 0; ii < lda; ii += 4) { + for (i = ii; i < ii+4; i += 4) { + //float * p = B + i; + for (j = jj; j < jj+4; j++) { + for (k = kk; k < kk+4; k++) { + + float a = A[k + j*lda]; + + C[i + j*lda] += a * B[k*lda + i]; + C[i + j*lda + 1] += a * B[k*lda + i + 1]; + C[i + j*lda + 2] += a * B[k*lda + i + 2]; + C[i + j*lda + 3] += a * B[k*lda + i + 3]; + } + } + } + } + } +} + +*/ + +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + +// // Execute the provided, naive matmul +// barrier(); +// stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); +// +// +// // verify +// verify(ARRAY_SIZE, results_data, verify_data); +// +// // clear results from the first trial +// size_t i; +// if (coreid == 0) +// for (i=0; i < ARRAY_SIZE; i++) +// results_data[i] = 0; +// barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/ap_vvadd/.vvadd.c.swp b/mt/ap_vvadd/.vvadd.c.swp Binary files differnew file mode 100644 index 0000000..f7e8ee9 --- /dev/null +++ b/mt/ap_vvadd/.vvadd.c.swp diff --git a/mt/ap_vvadd/ap_vvadd.c b/mt/ap_vvadd/ap_vvadd.c new file mode 100755 index 0000000..fe1440b --- /dev/null +++ b/mt/ap_vvadd/ap_vvadd.c @@ -0,0 +1,182 @@ +//************************************************************************** +// Vector-vector add benchmark +//-------------------------------------------------------------------------- +// Author : Andrew Waterman +// TA : Christopher Celio +// Student : +// +// This benchmark adds two vectors and writes the results to a +// third vector. The input data (and reference data) should be +// generated using the vvadd_gendata.pl perl script and dumped +// to a file named dataset.h + +// to print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DATA_SIZE, 10*_c/DATA_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %4ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %4ld, correct[%d]= %4ld\n", + i, (long) test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// vvadd function + +//perform in-place vvadd +void __attribute__((noinline)) vvadd(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + size_t i; + + // interleave accesses + for (i = coreid; i < n; i+=ncores) + { + x[i] = x[i] + y[i]; + } +} + +void __attribute__((noinline)) vvadd_opt(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + + size_t i, j; + + size_t blocksize = n / ncores; + size_t start = coreid * blocksize; + size_t leftover = n % ncores; + +// int i, j; + + for (i = start; i < (start + blocksize); i++) { + x[i] = x[i] + y[i]; + } + + for (j = (n - leftover) + coreid; j < n; j += ncores) { + x[j] = x[j] + y[j]; + } + +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[DATA_SIZE]; + + // because we're going to perform an in-place vvadd (and we're going to run + // it a couple of times) let's copy the input data to a temporary results + // array + + size_t i; + if (coreid == 0) + { + for (i = 0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + + + // Execute the provided, terrible vvadd + barrier(); + stats(vvadd(DATA_SIZE, results_data, input2_data); barrier()); + + + // verify + verify(DATA_SIZE, results_data, verify_data); + + // reset results from the first trial + if (coreid == 0) + { + for (i=0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + barrier(); + + + // Execute your faster vvadd + barrier(); + stats(vvadd_opt(DATA_SIZE, results_data, input2_data); barrier()); + +#ifdef DEBUG + printArray("results: ", DATA_SIZE, results_data); + printArray("verify : ", DATA_SIZE, verify_data); +#endif + + // verify + verify(DATA_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/ap_vvadd/dataset.h b/mt/ap_vvadd/dataset.h new file mode 100755 index 0000000..ce9f936 --- /dev/null +++ b/mt/ap_vvadd/dataset.h @@ -0,0 +1,165 @@ + +#define DATA_SIZE 1000 + +static data_t input1_data[DATA_SIZE] = +{ + 0.00, 15.00, 10.00, 3.00, 14.00, 6.00, 2.00, 18.00, 11.00, 15.00, 11.00, 0.00, 17.00, 16.00, 7.00, 13.00, 18.00, 2.00, 2.00, 5.00, + 8.00, 5.00, 12.00, 14.00, 6.00, 12.00, 16.00, 7.00, 9.00, 17.00, 10.00, 10.00, 3.00, 5.00, 14.00, 11.00, 9.00, 12.00, 3.00, 1.00, + 5.00, 4.00, 6.00, 17.00, 17.00, 4.00, 17.00, 15.00, 17.00, 18.00, 3.00, 18.00, 10.00, 6.00, 12.00, 12.00, 3.00, 2.00, 16.00, 1.00, + 5.00, 6.00, 2.00, 17.00, 16.00, 5.00, 10.00, 18.00, 14.00, 4.00, 9.00, 9.00, 7.00, 4.00, 8.00, 13.00, 12.00, 6.00, 4.00, 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vvadd_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the vvadd benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: vvadd_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[DATA_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3.2f",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + my @values1; + my @values2; + my @sum; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + my $value1 = int(rand(19)); + my $value2 = int(rand(19)); + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @sum, $value1 + $value2 ); + } + + + print "\n\#define DATA_SIZE ".$opts{"size"}." \n\n"; + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@sum ); + +} + +main(); + diff --git a/mt/aq_matmul/aq_matmul.c b/mt/aq_matmul/aq_matmul.c new file mode 100644 index 0000000..e7a3c65 --- /dev/null +++ b/mt/aq_matmul/aq_matmul.c @@ -0,0 +1,183 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + + for (int i = coreid; i < lda; i+=ncores*2) + { + for (int j = 0; j < lda; j++) + { + for (int k = 0; k < lda; k++) + { + int A12 = A[j*lda + k]; + int B1 = B[k*lda + i]; + int B2 = B[k*lda + i + ncores]; + C[i+j*lda] += A12 * B1; + C[i+ncores+j*lda] += A12 * B2; + //C[i+j*lda] += A[j*lda +k] * B[k*lda +i]; + } + } + } +} + + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + +// // Execute the provided, naive matmul +// barrier(); +// stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); +// +// +// // verify +// verify(ARRAY_SIZE, results_data, verify_data); +// +// // clear results from the first trial +// size_t i; +// if (coreid == 0) +// for (i=0; i < ARRAY_SIZE; i++) +// results_data[i] = 0; +// barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/aq_matmul/dataset.h b/mt/aq_matmul/dataset.h new file mode 100755 index 0000000..dde3ee4 --- /dev/null +++ b/mt/aq_matmul/dataset.h @@ -0,0 +1,174 @@ + +#define ARRAY_SIZE 1024 + + +#define DIM_SIZE 32 + +static data_t input1_data[ARRAY_SIZE] = +{ + 0, 3, 2, 0, 3, 1, 0, 3, 2, 3, 2, 0, 3, 3, 1, 2, 3, 0, 0, 1, + 1, 1, 2, 3, 1, 2, 3, 1, 1, 3, 2, 2, 0, 1, 3, 2, 2, 2, 0, 0, + 1, 0, 1, 3, 3, 0, 3, 3, 3, 3, 0, 3, 2, 1, 2, 2, 0, 0, 3, 0, + 1, 1, 0, 3, 3, 1, 2, 3, 3, 0, 1, 2, 1, 0, 1, 2, 2, 1, 0, 3, + 1, 0, 2, 2, 1, 1, 1, 1, 1, 1, 2, 0, 3, 1, 1, 2, 2, 3, 3, 1, + 3, 2, 0, 0, 0, 3, 3, 3, 2, 1, 2, 3, 1, 0, 0, 0, 0, 1, 2, 2, + 1, 1, 3, 3, 3, 1, 1, 2, 3, 1, 3, 3, 2, 3, 2, 1, 2, 3, 0, 2, + 2, 1, 1, 0, 0, 0, 0, 0, 1, 3, 3, 1, 1, 1, 2, 2, 3, 2, 1, 1, + 1, 1, 3, 0, 2, 2, 1, 3, 2, 1, 2, 2, 1, 3, 1, 3, 1, 3, 2, 3, + 1, 2, 1, 3, 2, 2, 0, 1, 0, 0, 1, 2, 3, 3, 1, 0, 0, 0, 3, 1, + 2, 3, 2, 3, 2, 0, 0, 0, 0, 0, 3, 1, 3, 0, 0, 0, 3, 1, 1, 1, + 1, 2, 1, 2, 3, 2, 0, 0, 2, 2, 3, 0, 3, 0, 0, 3, 0, 3, 1, 3, + 3, 1, 1, 1, 2, 2, 1, 3, 0, 3, 3, 1, 0, 0, 3, 2, 1, 3, 3, 3, + 1, 0, 1, 1, 2, 1, 0, 1, 1, 2, 2, 3, 1, 2, 2, 2, 0, 1, 3, 3, + 3, 2, 2, 1, 0, 1, 2, 0, 1, 1, 1, 1, 2, 3, 2, 2, 3, 3, 0, 0, + 2, 0, 0, 0, 3, 0, 1, 0, 3, 0, 0, 0, 3, 0, 0, 2, 0, 2, 0, 0, + 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 0, 2, 0, 0, 3, 3, 2, 3, 3, 0, + 1, 0, 2, 2, 0, 3, 3, 1, 1, 0, 2, 3, 2, 1, 1, 0, 1, 2, 1, 2, + 2, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 3, 3, 2, 0, 0, 1, 3, 0, 3, + 3, 0, 0, 0, 0, 3, 3, 1, 0, 0, 3, 3, 2, 1, 2, 1, 3, 3, 0, 1, + 3, 0, 2, 3, 1, 3, 3, 3, 3, 3, 0, 1, 1, 3, 0, 2, 2, 3, 1, 2, + 2, 2, 1, 3, 3, 0, 3, 0, 0, 2, 0, 2, 3, 0, 1, 3, 2, 2, 0, 0, + 2, 3, 0, 2, 2, 2, 3, 1, 0, 3, 3, 3, 3, 1, 0, 3, 3, 2, 0, 3, + 2, 0, 3, 0, 2, 0, 0, 2, 2, 1, 0, 2, 3, 1, 1, 1, 1, 2, 3, 3, + 3, 0, 0, 3, 3, 3, 2, 3, 3, 1, 2, 2, 3, 1, 2, 1, 1, 3, 0, 1, + 2, 0, 2, 0, 0, 1, 3, 2, 0, 1, 3, 2, 3, 3, 0, 0, 0, 1, 0, 3, + 3, 2, 2, 2, 1, 1, 2, 2, 1, 3, 2, 0, 1, 3, 2, 0, 2, 1, 3, 0, + 0, 0, 1, 3, 3, 2, 2, 2, 3, 1, 0, 0, 1, 1, 2, 1, 3, 1, 1, 2, + 2, 3, 2, 3, 0, 2, 3, 3, 0, 3, 0, 0, 1, 0, 0, 0, 1, 3, 1, 1, + 2, 3, 2, 1, 1, 2, 2, 2, 3, 0, 1, 1, 2, 1, 2, 0, 2, 3, 1, 3, + 0, 1, 1, 3, 0, 2, 3, 0, 1, 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 2, + 3, 0, 1, 1, 1, 1, 2, 0, 1, 2, 0, 1, 1, 1, 0, 1, 3, 2, 3, 1, + 0, 2, 1, 2, 1, 3, 3, 1, 0, 2, 2, 3, 1, 3, 1, 3, 0, 1, 0, 3, + 0, 3, 2, 0, 3, 3, 3, 0, 3, 2, 2, 2, 1, 3, 0, 0, 1, 1, 3, 0, + 1, 2, 1, 0, 0, 0, 3, 2, 2, 0, 0, 2, 1, 3, 0, 0, 3, 0, 0, 2, + 1, 1, 2, 2, 1, 3, 2, 2, 1, 1, 2, 1, 3, 2, 1, 1, 3, 0, 1, 3, + 3, 2, 2, 1, 0, 3, 2, 2, 2, 3, 0, 1, 3, 3, 2, 3, 0, 3, 2, 3, + 1, 1, 0, 0, 0, 2, 3, 0, 3, 0, 1, 1, 3, 1, 3, 2, 1, 1, 2, 1, + 3, 2, 0, 2, 1, 0, 2, 3, 2, 3, 2, 1, 2, 3, 0, 0, 1, 1, 0, 0, + 2, 1, 0, 1, 2, 2, 2, 2, 0, 3, 3, 1, 0, 0, 0, 0, 3, 1, 1, 0, + 0, 0, 0, 1, 2, 2, 1, 3, 0, 2, 3, 2, 3, 2, 2, 1, 2, 2, 3, 3, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 2, 2, 3, 1, 1, 1, 0, 0, 0, 3, 0, + 1, 0, 3, 1, 1, 3, 0, 1, 2, 2, 0, 0, 3, 3, 3, 3, 2, 1, 0, 0, + 1, 0, 2, 0, 1, 1, 0, 0, 3, 3, 2, 1, 1, 1, 0, 1, 1, 2, 2, 1, + 1, 2, 0, 3, 1, 3, 1, 0, 3, 0, 3, 1, 1, 1, 0, 2, 0, 3, 1, 0, + 1, 0, 2, 0, 2, 3, 3, 3, 1, 2, 3, 2, 2, 0, 1, 1, 0, 3, 3, 1, + 3, 3, 2, 0, 2, 0, 2, 2, 3, 3, 3, 0, 2, 3, 3, 1, 3, 2, 2, 2, + 0, 2, 3, 0, 2, 0, 3, 2, 2, 1, 1, 0, 2, 2, 2, 0, 2, 2, 0, 1, + 3, 2, 1, 3, 2, 2, 0, 3, 3, 1, 2, 2, 0, 0, 3, 2, 1, 2, 2, 1, + 3, 1, 2, 0, 0, 1, 1, 2, 1, 3, 2, 2, 3, 0, 2, 1, 3, 2, 1, 3, + 2, 3, 3, 1, 2, 1, 2, 2, 0, 0, 0, 3, 0, 2, 3, 1, 0, 0, 2, 3, + 3, 2, 2, 1 +}; + +static data_t input2_data[ARRAY_SIZE] = +{ + 1, 1, 0, 3, 1, 2, 0, 0, 0, 0, 0, 2, 1, 2, 3, 0, 0, 3, 3, 2, + 2, 1, 2, 3, 3, 0, 2, 2, 1, 1, 2, 2, 0, 2, 2, 1, 2, 3, 2, 2, + 3, 3, 2, 2, 1, 1, 1, 1, 2, 1, 2, 2, 3, 3, 3, 0, 0, 3, 2, 3, + 2, 3, 1, 2, 1, 1, 2, 2, 0, 1, 0, 3, 2, 1, 1, 1, 2, 0, 1, 2, + 2, 0, 2, 1, 3, 3, 2, 3, 2, 0, 3, 1, 3, 3, 2, 0, 1, 0, 1, 1, + 2, 2, 1, 1, 2, 2, 1, 2, 3, 3, 1, 3, 2, 2, 2, 3, 3, 1, 0, 2, + 1, 0, 0, 0, 1, 1, 2, 0, 3, 2, 3, 3, 0, 2, 3, 1, 0, 0, 2, 1, + 2, 0, 2, 1, 1, 2, 3, 1, 3, 2, 1, 0, 0, 0, 0, 0, 2, 2, 0, 2, + 1, 2, 0, 3, 2, 2, 0, 0, 3, 2, 1, 1, 3, 0, 2, 0, 0, 1, 0, 2, + 3, 3, 1, 3, 3, 0, 0, 2, 2, 0, 0, 0, 1, 0, 0, 1, 3, 0, 2, 1, + 3, 2, 2, 1, 3, 2, 0, 1, 2, 2, 3, 2, 1, 1, 1, 1, 3, 0, 1, 3, + 2, 2, 3, 1, 1, 2, 0, 2, 1, 1, 2, 3, 1, 0, 1, 0, 1, 1, 0, 0, + 2, 0, 3, 0, 3, 0, 3, 2, 2, 3, 3, 2, 1, 0, 2, 2, 1, 1, 0, 3, + 3, 2, 2, 0, 0, 3, 0, 1, 0, 0, 1, 2, 0, 1, 3, 0, 1, 2, 2, 0, + 0, 3, 0, 3, 0, 1, 1, 2, 0, 0, 0, 3, 0, 0, 2, 1, 1, 1, 0, 2, + 1, 3, 1, 2, 0, 3, 0, 3, 1, 3, 0, 0, 2, 2, 2, 2, 3, 3, 2, 1, + 2, 2, 1, 1, 2, 2, 2, 2, 0, 3, 0, 0, 2, 0, 1, 2, 0, 3, 2, 3, + 2, 0, 2, 1, 2, 1, 0, 2, 1, 1, 3, 2, 2, 3, 1, 0, 3, 3, 1, 0, + 3, 2, 2, 0, 0, 3, 0, 0, 2, 0, 3, 2, 3, 1, 1, 0, 0, 2, 3, 0, + 0, 1, 1, 1, 2, 1, 3, 2, 1, 3, 0, 1, 3, 3, 1, 1, 1, 1, 1, 1, + 0, 0, 2, 3, 2, 2, 2, 3, 2, 3, 1, 2, 3, 2, 2, 2, 0, 1, 3, 0, + 1, 1, 0, 1, 0, 1, 1, 3, 3, 1, 2, 2, 3, 2, 0, 2, 2, 0, 1, 3, + 0, 1, 3, 2, 1, 3, 3, 2, 0, 1, 3, 2, 0, 2, 1, 1, 0, 3, 0, 1, + 1, 1, 1, 1, 3, 0, 0, 1, 0, 2, 3, 1, 3, 0, 2, 1, 3, 0, 3, 0, + 3, 2, 2, 0, 0, 2, 1, 3, 3, 2, 3, 2, 2, 1, 2, 2, 3, 0, 3, 2, + 2, 0, 3, 2, 3, 2, 0, 0, 1, 2, 0, 0, 2, 0, 0, 3, 3, 2, 0, 0, + 3, 3, 0, 2, 3, 1, 0, 1, 0, 2, 1, 0, 2, 1, 0, 1, 0, 3, 0, 2, + 2, 3, 0, 0, 2, 1, 0, 1, 0, 0, 0, 2, 2, 3, 2, 0, 3, 3, 2, 1, + 0, 0, 3, 1, 2, 3, 3, 1, 0, 3, 1, 1, 0, 3, 3, 3, 2, 2, 2, 0, + 1, 2, 0, 3, 0, 1, 0, 1, 1, 0, 1, 2, 0, 3, 2, 0, 1, 2, 2, 0, + 2, 0, 0, 1, 0, 3, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 1, 1, 1, 0, + 2, 1, 1, 3, 2, 0, 2, 1, 1, 0, 2, 2, 1, 3, 0, 2, 1, 0, 1, 2, + 0, 1, 3, 2, 3, 2, 1, 0, 2, 0, 2, 2, 3, 1, 1, 3, 2, 3, 2, 2, + 0, 2, 0, 0, 0, 3, 2, 0, 2, 2, 3, 3, 3, 2, 1, 2, 0, 0, 3, 0, + 2, 0, 3, 2, 2, 3, 0, 3, 2, 1, 2, 2, 1, 2, 0, 0, 3, 1, 2, 0, + 2, 3, 2, 2, 1, 1, 1, 3, 3, 3, 3, 3, 1, 3, 0, 1, 3, 2, 2, 1, + 0, 1, 1, 2, 1, 2, 3, 1, 2, 2, 1, 2, 1, 1, 0, 3, 3, 1, 1, 3, + 2, 0, 0, 1, 2, 0, 1, 3, 1, 0, 0, 2, 2, 3, 3, 0, 2, 3, 2, 1, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 3, 3, 3, 1, 3, 0, 3, 1, 1, 2, 2, + 2, 1, 0, 3, 2, 3, 0, 2, 3, 2, 3, 1, 2, 3, 3, 1, 2, 1, 0, 0, + 0, 3, 3, 3, 3, 0, 3, 3, 3, 3, 2, 1, 0, 3, 0, 3, 2, 3, 1, 0, + 0, 1, 3, 1, 0, 2, 2, 3, 1, 0, 2, 1, 1, 3, 1, 1, 3, 1, 2, 1, + 0, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 3, 3, 1, 0, 3, 1, 1, 2, 0, + 0, 0, 2, 3, 3, 2, 2, 3, 0, 2, 3, 1, 3, 3, 0, 2, 1, 2, 2, 2, + 1, 0, 1, 3, 2, 3, 1, 1, 2, 1, 1, 0, 0, 2, 3, 2, 1, 0, 3, 1, + 3, 0, 1, 1, 2, 2, 1, 3, 3, 1, 1, 0, 0, 3, 3, 0, 0, 0, 0, 0, + 3, 1, 3, 0, 0, 0, 3, 3, 2, 1, 3, 0, 1, 3, 1, 1, 1, 0, 1, 0, + 1, 2, 2, 2, 3, 3, 0, 2, 3, 2, 1, 3, 3, 1, 1, 3, 0, 3, 3, 2, + 1, 1, 2, 0, 3, 0, 1, 2, 1, 1, 0, 0, 1, 2, 2, 0, 3, 1, 1, 1, + 3, 3, 3, 1, 0, 3, 3, 2, 2, 2, 1, 2, 0, 1, 1, 3, 0, 3, 1, 0, + 2, 2, 0, 1, 2, 3, 2, 1, 2, 0, 3, 2, 1, 3, 0, 1, 2, 0, 3, 0, + 1, 1, 2, 1 +}; + +static data_t verify_data[ARRAY_SIZE] = +{ + 72, 75, 88, 101, 80, 88, 73, 75, 80, 81, 58, 75, 86, 65, 60, 80, 84, 83, 87, 83, + 108, 93, 85, 76, 72, 98, 79, 86, 80, 96, 91, 85, 72, 64, 70, 83, 68, 92, 51, 54, + 85, 85, 60, 58, 90, 64, 55, 69, 72, 48, 94, 77, 91, 83, 70, 69, 67, 77, 59, 50, + 67, 74, 77, 67, 67, 62, 72, 71, 68, 79, 54, 61, 67, 61, 55, 62, 78, 60, 53, 64, + 67, 69, 99, 68, 88, 60, 66, 63, 70, 62, 65, 50, 53, 66, 70, 72, 75, 78, 85, 95, + 71, 89, 70, 68, 86, 88, 58, 77, 84, 70, 65, 68, 73, 75, 91, 96, 105, 92, 76, 68, + 86, 69, 80, 59, 73, 83, 88, 75, 64, 63, 71, 99, 77, 77, 69, 55, 80, 73, 54, 73, + 87, 78, 60, 69, 65, 78, 86, 89, 95, 92, 63, 69, 89, 61, 80, 65, 70, 77, 89, 77, + 79, 79, 73, 92, 64, 81, 60, 78, 81, 80, 61, 63, 89, 65, 56, 83, 77, 65, 102, 70, + 98, 86, 96, 68, 72, 89, 73, 73, 70, 89, 84, 76, 48, 61, 63, 70, 70, 79, 50, 53, + 64, 63, 43, 51, 59, 62, 43, 63, 55, 77, 79, 74, 75, 74, 64, 44, 65, 69, 72, 66, + 54, 71, 74, 72, 69, 76, 68, 89, 94, 75, 65, 53, 85, 79, 65, 74, 82, 73, 58, 70, + 84, 77, 99, 72, 92, 84, 78, 62, 59, 83, 71, 74, 63, 85, 80, 78, 71, 72, 79, 83, + 73, 82, 60, 85, 76, 82, 60, 70, 82, 68, 54, 85, 84, 70, 86, 74, 100, 88, 98, 68, + 67, 87, 69, 73, 68, 88, 76, 71, 47, 43, 47, 80, 54, 65, 40, 37, 59, 53, 33, 48, + 62, 40, 36, 55, 36, 62, 53, 57, 70, 69, 45, 43, 53, 61, 42, 57, 56, 63, 51, 47, + 59, 75, 64, 89, 83, 75, 59, 75, 91, 92, 58, 64, 83, 74, 58, 60, 76, 66, 97, 69, + 90, 95, 92, 64, 78, 75, 77, 73, 65, 78, 82, 75, 47, 54, 59, 71, 59, 56, 53, 42, + 60, 55, 40, 51, 60, 46, 36, 59, 46, 57, 67, 43, 51, 53, 53, 38, 54, 56, 55, 48, + 41, 46, 63, 63, 80, 77, 89, 102, 89, 98, 74, 86, 98, 93, 63, 76, 98, 77, 48, 101, + 86, 88, 100, 82, 102, 90, 95, 75, 86, 103, 83, 98, 80, 104, 98, 86, 71, 74, 80, 90, + 86, 87, 73, 70, 81, 83, 55, 66, 90, 66, 58, 84, 77, 84, 93, 72, 99, 75, 85, 65, + 70, 89, 71, 82, 64, 79, 82, 80, 67, 73, 86, 101, 78, 97, 66, 64, 84, 80, 55, 64, + 79, 73, 51, 79, 89, 68, 94, 77, 109, 102, 82, 61, 66, 93, 88, 70, 82, 82, 85, 69, + 69, 72, 66, 97, 85, 90, 70, 59, 76, 89, 53, 56, 90, 79, 71, 64, 70, 67, 100, 92, + 106, 89, 83, 78, 73, 80, 70, 72, 65, 70, 92, 88, 57, 76, 55, 85, 66, 80, 61, 63, + 63, 78, 54, 58, 71, 73, 54, 63, 63, 62, 89, 76, 86, 81, 83, 54, 70, 81, 78, 64, + 56, 72, 74, 81, 75, 63, 68, 89, 65, 77, 58, 68, 75, 83, 52, 62, 82, 63, 55, 75, + 51, 70, 95, 66, 83, 77, 86, 61, 64, 77, 48, 70, 66, 82, 72, 75, 79, 71, 72, 89, + 78, 78, 66, 59, 91, 80, 55, 64, 79, 68, 54, 71, 67, 75, 87, 84, 100, 101, 76, 58, + 74, 82, 61, 74, 75, 97, 85, 79, 61, 55, 69, 68, 72, 65, 52, 64, 80, 73, 48, 54, + 71, 66, 42, 61, 66, 63, 92, 64, 85, 77, 73, 54, 74, 73, 76, 66, 62, 79, 85, 70, + 71, 84, 87, 81, 88, 86, 77, 77, 93, 88, 78, 71, 101, 89, 58, 84, 95, 81, 89, 97, + 104, 79, 83, 76, 90, 81, 91, 74, 70, 76, 91, 80, 51, 48, 56, 69, 47, 63, 54, 42, + 63, 63, 42, 52, 66, 56, 39, 59, 61, 52, 59, 63, 62, 68, 57, 35, 67, 58, 56, 52, + 61, 63, 60, 47, 85, 75, 89, 106, 88, 95, 74, 82, 107, 107, 64, 78, 98, 90, 62, 91, + 79, 87, 111, 84, 104, 106, 96, 68, 94, 99, 81, 89, 79, 105, 95, 86, 65, 63, 77, 89, + 66, 88, 56, 73, 82, 92, 41, 62, 85, 66, 50, 81, 57, 71, 77, 78, 86, 89, 77, 53, + 67, 78, 61, 63, 72, 82, 69, 66, 59, 46, 55, 70, 56, 64, 45, 50, 65, 64, 42, 56, + 78, 49, 51, 52, 38, 56, 72, 55, 73, 72, 61, 50, 63, 60, 47, 57, 55, 73, 53, 68, + 85, 88, 91, 96, 82, 89, 73, 76, 87, 86, 67, 69, 96, 84, 57, 89, 87, 89, 99, 88, + 104, 90, 85, 75, 88, 92, 85, 75, 74, 87, 103, 94, 55, 48, 56, 65, 72, 50, 45, 51, + 63, 62, 47, 57, 79, 53, 36, 63, 54, 68, 71, 59, 63, 61, 63, 41, 50, 73, 57, 59, + 56, 76, 73, 65, 61, 64, 61, 79, 53, 73, 57, 44, 61, 59, 59, 56, 81, 59, 49, 62, + 65, 55, 69, 72, 79, 70, 58, 57, 68, 61, 62, 50, 57, 60, 66, 66, 63, 77, 81, 89, + 85, 81, 76, 73, 78, 95, 59, 70, 81, 77, 46, 79, 78, 79, 83, 81, 84, 82, 85, 48, + 74, 85, 85, 74, 74, 80, 80, 74, 60, 76, 80, 97, 88, 93, 66, 66, 73, 84, 56, 70, + 90, 63, 58, 78, 73, 93, 90, 78, 94, 88, 82, 67, 85, 70, 81, 86, 74, 82, 88, 82, + 68, 73, 75, 91, 78, 97, 71, 66, 74, 85, 50, 59, 86, 77, 70, 74, 75, 74, 99, 82, + 99, 91, 86, 65, 80, 77, 72, 69, 60, 78, 90, 87, 79, 69, 74, 98, 70, 86, 81, 67, + 69, 78, 48, 65, 88, 70, 70, 70, 69, 72, 96, 90, 99, 82, 81, 76, 98, 73, 74, 71, + 69, 73, 94, 89 +}; + diff --git a/mt/aq_matmul/matmul_gendata.pl b/mt/aq_matmul/matmul_gendata.pl new file mode 100755 index 0000000..f21bb46 --- /dev/null +++ b/mt/aq_matmul/matmul_gendata.pl @@ -0,0 +1,200 @@ +#!/usr/bin/perl -w +#========================================================================== +# matmul_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the matmul benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: matmul_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[ARRAY_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3d",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + + + +#-------------------------------------------------------------------------- +# Matmul +#-------------------------------------------------------------------------- + +# http://answers.oreilly.com/topic/418-how-to-multiply-matrices-in-perl/ + +sub mmult { + my ($m1,$m2) = @_; + my ($m1rows,$m1cols) = matdim($m1); + my ($m2rows,$m2cols) = matdim($m2); + + my $result = [ ]; + my ($i, $j, $k); + + for $i (range($m1rows)) { + for $j (range($m2cols)) { + for $k (range($m1cols)) { + $result->[$i][$j] += $m1->[$i][$k] * $m2->[$k][$j]; + } + } + } + return $result; +} + +sub range { 0 .. ($_[0] - 1) } + + +sub veclen { + my $ary_ref = $_[0]; + my $type = ref $ary_ref; + if ($type ne "ARRAY") { die "$type is bad array ref for $ary_ref" } + return scalar(@$ary_ref); +} + +sub matdim { + my $matrix = $_[0]; + my $rows = veclen($matrix); + my $cols = veclen($matrix->[0]); + return ($rows, $cols); +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + # create random input arrays + my $mat_values1; + my $mat_values2; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + $mat_values1->[$i][$j] = int(rand(4)); + $mat_values2->[$i][$j] = int(rand(4)); + } + } + + # perform matmul + my $mat_results = mmult( $mat_values1, $mat_values2 ); + + # translate 2d arrays to 1d-somethings (I don't know how to code in perl - Chris) + my @values1; + my @values2; + my @results; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + my $value1 = $mat_values1->[$i][$j]; + my $value2 = $mat_values2->[$i][$j]; + my $result = $mat_results->[$i][$j]; + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @results, $result ); + } + } + + print "\n\#define ARRAY_SIZE ".($opts{"size"}*$opts{"size"})." \n\n"; + print "\n\#define DIM_SIZE ".$opts{"size"}." \n\n"; + + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@results); + +} + +main(); + diff --git a/mt/aq_matmul/matmul_mi.c b/mt/aq_matmul/matmul_mi.c new file mode 100755 index 0000000..524b13d --- /dev/null +++ b/mt/aq_matmul/matmul_mi.c @@ -0,0 +1,183 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + + for (int i = coreid; i < lda; i+=ncores) + { + for (int j = 0; j < lda; j++) + { + for (int k = 0; k < lda; k++) + { + //int A12 = A[j*lda + k]; + //int B1 = B[k*lda + i]; + //int B2 = B[k*lda + i + ncores]; + //C[i+j*lda] += A12 * B1; + //C[i+ncores+j*lda] += A12 * B2; + C[i+j*lda] += A[j*lda +k] * B[k*lda +i]; + } + } + } +} + + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + +// // Execute the provided, naive matmul +// barrier(); +// stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); +// +// +// // verify +// verify(ARRAY_SIZE, results_data, verify_data); +// +// // clear results from the first trial +// size_t i; +// if (coreid == 0) +// for (i=0; i < ARRAY_SIZE; i++) +// results_data[i] = 0; +// barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/aq_vvadd/aq_vvadd.c b/mt/aq_vvadd/aq_vvadd.c new file mode 100755 index 0000000..af88a0b --- /dev/null +++ b/mt/aq_vvadd/aq_vvadd.c @@ -0,0 +1,191 @@ +//************************************************************************** +// Vector-vector add benchmark +//-------------------------------------------------------------------------- +// Author : Andrew Waterman +// TA : Christopher Celio +// Student : +// +// This benchmark adds two vectors and writes the results to a +// third vector. The input data (and reference data) should be +// generated using the vvadd_gendata.pl perl script and dumped +// to a file named dataset.h + +// to print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DATA_SIZE, 10*_c/DATA_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %4ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %4ld, correct[%d]= %4ld\n", + i, (long) test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// vvadd function + +//perform in-place vvadd +void __attribute__((noinline)) vvadd(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + size_t i; + + // interleave accesses + for (i = coreid; i < n; i+=ncores) + { + x[i] = x[i] + y[i]; + } +} + +void __attribute__((noinline)) vvadd_opt(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + + size_t i; + + for (i = coreid; i < n; i+=ncores*2) + { + //int x1 = x[i]; + //int x2 = x[i+ncores]; + //int x3 = x[i+ncores*2]; + //int x4 = x[i+ncores*4]; + //int y1 = y[i]; + //int y2 = y[i+ncores]; + //int y3 = y[i+ncores*2]; + //int y4 = y[i+ncores*4]; + int x1 = x[i]; + int x2 = x[i+ncores]; + int y1 = y[i]; + int y2 = y[i+ncores]; + x[i] = x1 + y1; + x[i+ncores] = x2 + y2; + //x[i+ncores*2] = x[i+ncores*2] + y[i+ncores*2]; + // x[i+ncores*4] = x[i+ncores*4] + y[i+ncores*4]; + //x[i] = x1 + y1; + //x[i+ncores] = x2 + y2; + //x[i+ncores*2] = x3 + y3; + //x[i+ncores*4] = x4 + y4; + } +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[DATA_SIZE]; + + // because we're going to perform an in-place vvadd (and we're going to run + // it a couple of times) let's copy the input data to a temporary results + // array + + size_t i; + if (coreid == 0) + { + for (i = 0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + + + // Execute the provided, terrible vvadd + barrier(); + stats(vvadd(DATA_SIZE, results_data, input2_data); barrier()); + + + // verify + verify(DATA_SIZE, results_data, verify_data); + + // reset results from the first trial + if (coreid == 0) + { + for (i=0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + barrier(); + + + // Execute your faster vvadd + barrier(); + stats(vvadd_opt(DATA_SIZE, results_data, input2_data); barrier()); + +#ifdef DEBUG + printArray("results: ", DATA_SIZE, results_data); + printArray("verify : ", DATA_SIZE, verify_data); +#endif + + // verify + verify(DATA_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/aq_vvadd/dataset.h b/mt/aq_vvadd/dataset.h new file mode 100755 index 0000000..ce9f936 --- /dev/null +++ b/mt/aq_vvadd/dataset.h @@ -0,0 +1,165 @@ + +#define DATA_SIZE 1000 + +static data_t input1_data[DATA_SIZE] = +{ + 0.00, 15.00, 10.00, 3.00, 14.00, 6.00, 2.00, 18.00, 11.00, 15.00, 11.00, 0.00, 17.00, 16.00, 7.00, 13.00, 18.00, 2.00, 2.00, 5.00, + 8.00, 5.00, 12.00, 14.00, 6.00, 12.00, 16.00, 7.00, 9.00, 17.00, 10.00, 10.00, 3.00, 5.00, 14.00, 11.00, 9.00, 12.00, 3.00, 1.00, + 5.00, 4.00, 6.00, 17.00, 17.00, 4.00, 17.00, 15.00, 17.00, 18.00, 3.00, 18.00, 10.00, 6.00, 12.00, 12.00, 3.00, 2.00, 16.00, 1.00, + 5.00, 6.00, 2.00, 17.00, 16.00, 5.00, 10.00, 18.00, 14.00, 4.00, 9.00, 9.00, 7.00, 4.00, 8.00, 13.00, 12.00, 6.00, 4.00, 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30.00, 12.00, 21.00, 21.00, 27.00, 14.00, + 21.00, 31.00, 3.00, 21.00, 14.00, 20.00, 30.00, 20.00, 21.00, 32.00, 27.00, 24.00, 16.00, 31.00, 5.00, 20.00, 14.00, 17.00, 15.00, 16.00, + 19.00, 13.00, 4.00, 21.00, 20.00, 29.00, 10.00, 22.00, 19.00, 24.00, 29.00, 14.00, 10.00, 15.00, 18.00, 7.00, 28.00, 17.00, 7.00, 2.00, + 1.00, 19.00, 17.00, 23.00, 31.00, 13.00, 20.00, 36.00, 17.00, 27.00, 28.00, 18.00, 20.00, 29.00, 17.00, 23.00, 24.00, 23.00, 26.00, 17.00, + 9.00, 26.00, 16.00, 18.00, 10.00, 28.00, 32.00, 20.00, 19.00, 14.00, 22.00, 23.00, 13.00, 22.00, 14.00, 7.00, 20.00, 10.00, 25.00, 9.00, + 7.00, 2.00, 31.00, 16.00, 16.00, 22.00, 5.00, 15.00, 26.00, 23.00, 10.00, 18.00, 32.00, 24.00, 15.00, 30.00, 16.00, 13.00, 15.00, 7.00, + 11.00, 6.00, 21.00, 14.00, 25.00, 21.00, 11.00, 16.00, 14.00, 26.00, 25.00, 15.00, 22.00, 24.00, 4.00, 19.00, 14.00, 26.00, 22.00, 17.00, + 13.00, 14.00, 7.00, 32.00, 20.00, 33.00, 13.00, 7.00, 29.00, 8.00, 26.00, 6.00, 9.00, 13.00, 22.00, 23.00, 8.00, 22.00, 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vvadd_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the vvadd benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: vvadd_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[DATA_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3.2f",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + my @values1; + my @values2; + my @sum; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + my $value1 = int(rand(19)); + my $value2 = int(rand(19)); + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @sum, $value1 + $value2 ); + } + + + print "\n\#define DATA_SIZE ".$opts{"size"}." \n\n"; + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@sum ); + +} + +main(); + diff --git a/mt/ar_matmul/ar_matmul.c b/mt/ar_matmul/ar_matmul.c new file mode 100755 index 0000000..22ca10b --- /dev/null +++ b/mt/ar_matmul/ar_matmul.c @@ -0,0 +1,193 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + + int i, j, k, B_t[32*32], x, y; + int ALoc, BLoc, CLoc; +// int ii = 0, done = 0; + //for(x = coreid*(lda/ncores); x < (coreid+1)*(lda/ncores) && x < lda; x++) { + for (x = 0; x < lda; x++) { + for(y = 0; y < lda; y++) { + B_t[y*lda + x] = B[x*lda + y]; + } + } + // for ( ii = lda/4 ; ii < lda ; ii += lda/4) + //{ +// for ( i = coreid*(ii/ncores); i < (coreid+1)*(ii/ncores) && i < ii; i++ ) + for ( i = coreid*(lda/ncores); i < (coreid+1)*(lda/ncores) && i < lda; i++ ) + { + ALoc = i*lda; + for ( j = 0; j < lda; j++ ) + { + BLoc = j*lda; + CLoc = i*lda + j; + for ( k = 0; k < lda; k++ ) + { + C[CLoc] += A[ALoc + k] * B_t[BLoc + k]; + } + } + } + //} +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + +// // Execute the provided, naive matmul +// barrier(); +// stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); +// +// +// // verify +// verify(ARRAY_SIZE, results_data, verify_data); +// +// // clear results from the first trial +// size_t i; +// if (coreid == 0) +// for (i=0; i < ARRAY_SIZE; i++) +// results_data[i] = 0; +// barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/ar_matmul/dataset.h b/mt/ar_matmul/dataset.h new file mode 100755 index 0000000..dde3ee4 --- /dev/null +++ b/mt/ar_matmul/dataset.h @@ -0,0 +1,174 @@ + +#define ARRAY_SIZE 1024 + + +#define DIM_SIZE 32 + +static data_t input1_data[ARRAY_SIZE] = +{ + 0, 3, 2, 0, 3, 1, 0, 3, 2, 3, 2, 0, 3, 3, 1, 2, 3, 0, 0, 1, + 1, 1, 2, 3, 1, 2, 3, 1, 1, 3, 2, 2, 0, 1, 3, 2, 2, 2, 0, 0, + 1, 0, 1, 3, 3, 0, 3, 3, 3, 3, 0, 3, 2, 1, 2, 2, 0, 0, 3, 0, + 1, 1, 0, 3, 3, 1, 2, 3, 3, 0, 1, 2, 1, 0, 1, 2, 2, 1, 0, 3, + 1, 0, 2, 2, 1, 1, 1, 1, 1, 1, 2, 0, 3, 1, 1, 2, 2, 3, 3, 1, + 3, 2, 0, 0, 0, 3, 3, 3, 2, 1, 2, 3, 1, 0, 0, 0, 0, 1, 2, 2, + 1, 1, 3, 3, 3, 1, 1, 2, 3, 1, 3, 3, 2, 3, 2, 1, 2, 3, 0, 2, + 2, 1, 1, 0, 0, 0, 0, 0, 1, 3, 3, 1, 1, 1, 2, 2, 3, 2, 1, 1, + 1, 1, 3, 0, 2, 2, 1, 3, 2, 1, 2, 2, 1, 3, 1, 3, 1, 3, 2, 3, + 1, 2, 1, 3, 2, 2, 0, 1, 0, 0, 1, 2, 3, 3, 1, 0, 0, 0, 3, 1, + 2, 3, 2, 3, 2, 0, 0, 0, 0, 0, 3, 1, 3, 0, 0, 0, 3, 1, 1, 1, + 1, 2, 1, 2, 3, 2, 0, 0, 2, 2, 3, 0, 3, 0, 0, 3, 0, 3, 1, 3, + 3, 1, 1, 1, 2, 2, 1, 3, 0, 3, 3, 1, 0, 0, 3, 2, 1, 3, 3, 3, + 1, 0, 1, 1, 2, 1, 0, 1, 1, 2, 2, 3, 1, 2, 2, 2, 0, 1, 3, 3, + 3, 2, 2, 1, 0, 1, 2, 0, 1, 1, 1, 1, 2, 3, 2, 2, 3, 3, 0, 0, + 2, 0, 0, 0, 3, 0, 1, 0, 3, 0, 0, 0, 3, 0, 0, 2, 0, 2, 0, 0, + 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 0, 2, 0, 0, 3, 3, 2, 3, 3, 0, + 1, 0, 2, 2, 0, 3, 3, 1, 1, 0, 2, 3, 2, 1, 1, 0, 1, 2, 1, 2, + 2, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 3, 3, 2, 0, 0, 1, 3, 0, 3, + 3, 0, 0, 0, 0, 3, 3, 1, 0, 0, 3, 3, 2, 1, 2, 1, 3, 3, 0, 1, + 3, 0, 2, 3, 1, 3, 3, 3, 3, 3, 0, 1, 1, 3, 0, 2, 2, 3, 1, 2, + 2, 2, 1, 3, 3, 0, 3, 0, 0, 2, 0, 2, 3, 0, 1, 3, 2, 2, 0, 0, + 2, 3, 0, 2, 2, 2, 3, 1, 0, 3, 3, 3, 3, 1, 0, 3, 3, 2, 0, 3, + 2, 0, 3, 0, 2, 0, 0, 2, 2, 1, 0, 2, 3, 1, 1, 1, 1, 2, 3, 3, + 3, 0, 0, 3, 3, 3, 2, 3, 3, 1, 2, 2, 3, 1, 2, 1, 1, 3, 0, 1, + 2, 0, 2, 0, 0, 1, 3, 2, 0, 1, 3, 2, 3, 3, 0, 0, 0, 1, 0, 3, + 3, 2, 2, 2, 1, 1, 2, 2, 1, 3, 2, 0, 1, 3, 2, 0, 2, 1, 3, 0, + 0, 0, 1, 3, 3, 2, 2, 2, 3, 1, 0, 0, 1, 1, 2, 1, 3, 1, 1, 2, + 2, 3, 2, 3, 0, 2, 3, 3, 0, 3, 0, 0, 1, 0, 0, 0, 1, 3, 1, 1, + 2, 3, 2, 1, 1, 2, 2, 2, 3, 0, 1, 1, 2, 1, 2, 0, 2, 3, 1, 3, + 0, 1, 1, 3, 0, 2, 3, 0, 1, 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 2, + 3, 0, 1, 1, 1, 1, 2, 0, 1, 2, 0, 1, 1, 1, 0, 1, 3, 2, 3, 1, + 0, 2, 1, 2, 1, 3, 3, 1, 0, 2, 2, 3, 1, 3, 1, 3, 0, 1, 0, 3, + 0, 3, 2, 0, 3, 3, 3, 0, 3, 2, 2, 2, 1, 3, 0, 0, 1, 1, 3, 0, + 1, 2, 1, 0, 0, 0, 3, 2, 2, 0, 0, 2, 1, 3, 0, 0, 3, 0, 0, 2, + 1, 1, 2, 2, 1, 3, 2, 2, 1, 1, 2, 1, 3, 2, 1, 1, 3, 0, 1, 3, + 3, 2, 2, 1, 0, 3, 2, 2, 2, 3, 0, 1, 3, 3, 2, 3, 0, 3, 2, 3, + 1, 1, 0, 0, 0, 2, 3, 0, 3, 0, 1, 1, 3, 1, 3, 2, 1, 1, 2, 1, + 3, 2, 0, 2, 1, 0, 2, 3, 2, 3, 2, 1, 2, 3, 0, 0, 1, 1, 0, 0, + 2, 1, 0, 1, 2, 2, 2, 2, 0, 3, 3, 1, 0, 0, 0, 0, 3, 1, 1, 0, + 0, 0, 0, 1, 2, 2, 1, 3, 0, 2, 3, 2, 3, 2, 2, 1, 2, 2, 3, 3, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 2, 2, 3, 1, 1, 1, 0, 0, 0, 3, 0, + 1, 0, 3, 1, 1, 3, 0, 1, 2, 2, 0, 0, 3, 3, 3, 3, 2, 1, 0, 0, + 1, 0, 2, 0, 1, 1, 0, 0, 3, 3, 2, 1, 1, 1, 0, 1, 1, 2, 2, 1, + 1, 2, 0, 3, 1, 3, 1, 0, 3, 0, 3, 1, 1, 1, 0, 2, 0, 3, 1, 0, + 1, 0, 2, 0, 2, 3, 3, 3, 1, 2, 3, 2, 2, 0, 1, 1, 0, 3, 3, 1, + 3, 3, 2, 0, 2, 0, 2, 2, 3, 3, 3, 0, 2, 3, 3, 1, 3, 2, 2, 2, + 0, 2, 3, 0, 2, 0, 3, 2, 2, 1, 1, 0, 2, 2, 2, 0, 2, 2, 0, 1, + 3, 2, 1, 3, 2, 2, 0, 3, 3, 1, 2, 2, 0, 0, 3, 2, 1, 2, 2, 1, + 3, 1, 2, 0, 0, 1, 1, 2, 1, 3, 2, 2, 3, 0, 2, 1, 3, 2, 1, 3, + 2, 3, 3, 1, 2, 1, 2, 2, 0, 0, 0, 3, 0, 2, 3, 1, 0, 0, 2, 3, + 3, 2, 2, 1 +}; + +static data_t input2_data[ARRAY_SIZE] = +{ + 1, 1, 0, 3, 1, 2, 0, 0, 0, 0, 0, 2, 1, 2, 3, 0, 0, 3, 3, 2, + 2, 1, 2, 3, 3, 0, 2, 2, 1, 1, 2, 2, 0, 2, 2, 1, 2, 3, 2, 2, + 3, 3, 2, 2, 1, 1, 1, 1, 2, 1, 2, 2, 3, 3, 3, 0, 0, 3, 2, 3, + 2, 3, 1, 2, 1, 1, 2, 2, 0, 1, 0, 3, 2, 1, 1, 1, 2, 0, 1, 2, + 2, 0, 2, 1, 3, 3, 2, 3, 2, 0, 3, 1, 3, 3, 2, 0, 1, 0, 1, 1, + 2, 2, 1, 1, 2, 2, 1, 2, 3, 3, 1, 3, 2, 2, 2, 3, 3, 1, 0, 2, + 1, 0, 0, 0, 1, 1, 2, 0, 3, 2, 3, 3, 0, 2, 3, 1, 0, 0, 2, 1, + 2, 0, 2, 1, 1, 2, 3, 1, 3, 2, 1, 0, 0, 0, 0, 0, 2, 2, 0, 2, + 1, 2, 0, 3, 2, 2, 0, 0, 3, 2, 1, 1, 3, 0, 2, 0, 0, 1, 0, 2, + 3, 3, 1, 3, 3, 0, 0, 2, 2, 0, 0, 0, 1, 0, 0, 1, 3, 0, 2, 1, + 3, 2, 2, 1, 3, 2, 0, 1, 2, 2, 3, 2, 1, 1, 1, 1, 3, 0, 1, 3, + 2, 2, 3, 1, 1, 2, 0, 2, 1, 1, 2, 3, 1, 0, 1, 0, 1, 1, 0, 0, + 2, 0, 3, 0, 3, 0, 3, 2, 2, 3, 3, 2, 1, 0, 2, 2, 1, 1, 0, 3, + 3, 2, 2, 0, 0, 3, 0, 1, 0, 0, 1, 2, 0, 1, 3, 0, 1, 2, 2, 0, + 0, 3, 0, 3, 0, 1, 1, 2, 0, 0, 0, 3, 0, 0, 2, 1, 1, 1, 0, 2, + 1, 3, 1, 2, 0, 3, 0, 3, 1, 3, 0, 0, 2, 2, 2, 2, 3, 3, 2, 1, + 2, 2, 1, 1, 2, 2, 2, 2, 0, 3, 0, 0, 2, 0, 1, 2, 0, 3, 2, 3, + 2, 0, 2, 1, 2, 1, 0, 2, 1, 1, 3, 2, 2, 3, 1, 0, 3, 3, 1, 0, + 3, 2, 2, 0, 0, 3, 0, 0, 2, 0, 3, 2, 3, 1, 1, 0, 0, 2, 3, 0, + 0, 1, 1, 1, 2, 1, 3, 2, 1, 3, 0, 1, 3, 3, 1, 1, 1, 1, 1, 1, + 0, 0, 2, 3, 2, 2, 2, 3, 2, 3, 1, 2, 3, 2, 2, 2, 0, 1, 3, 0, + 1, 1, 0, 1, 0, 1, 1, 3, 3, 1, 2, 2, 3, 2, 0, 2, 2, 0, 1, 3, + 0, 1, 3, 2, 1, 3, 3, 2, 0, 1, 3, 2, 0, 2, 1, 1, 0, 3, 0, 1, + 1, 1, 1, 1, 3, 0, 0, 1, 0, 2, 3, 1, 3, 0, 2, 1, 3, 0, 3, 0, + 3, 2, 2, 0, 0, 2, 1, 3, 3, 2, 3, 2, 2, 1, 2, 2, 3, 0, 3, 2, + 2, 0, 3, 2, 3, 2, 0, 0, 1, 2, 0, 0, 2, 0, 0, 3, 3, 2, 0, 0, + 3, 3, 0, 2, 3, 1, 0, 1, 0, 2, 1, 0, 2, 1, 0, 1, 0, 3, 0, 2, + 2, 3, 0, 0, 2, 1, 0, 1, 0, 0, 0, 2, 2, 3, 2, 0, 3, 3, 2, 1, + 0, 0, 3, 1, 2, 3, 3, 1, 0, 3, 1, 1, 0, 3, 3, 3, 2, 2, 2, 0, + 1, 2, 0, 3, 0, 1, 0, 1, 1, 0, 1, 2, 0, 3, 2, 0, 1, 2, 2, 0, + 2, 0, 0, 1, 0, 3, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 1, 1, 1, 0, + 2, 1, 1, 3, 2, 0, 2, 1, 1, 0, 2, 2, 1, 3, 0, 2, 1, 0, 1, 2, + 0, 1, 3, 2, 3, 2, 1, 0, 2, 0, 2, 2, 3, 1, 1, 3, 2, 3, 2, 2, + 0, 2, 0, 0, 0, 3, 2, 0, 2, 2, 3, 3, 3, 2, 1, 2, 0, 0, 3, 0, + 2, 0, 3, 2, 2, 3, 0, 3, 2, 1, 2, 2, 1, 2, 0, 0, 3, 1, 2, 0, + 2, 3, 2, 2, 1, 1, 1, 3, 3, 3, 3, 3, 1, 3, 0, 1, 3, 2, 2, 1, + 0, 1, 1, 2, 1, 2, 3, 1, 2, 2, 1, 2, 1, 1, 0, 3, 3, 1, 1, 3, + 2, 0, 0, 1, 2, 0, 1, 3, 1, 0, 0, 2, 2, 3, 3, 0, 2, 3, 2, 1, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 3, 3, 3, 1, 3, 0, 3, 1, 1, 2, 2, + 2, 1, 0, 3, 2, 3, 0, 2, 3, 2, 3, 1, 2, 3, 3, 1, 2, 1, 0, 0, + 0, 3, 3, 3, 3, 0, 3, 3, 3, 3, 2, 1, 0, 3, 0, 3, 2, 3, 1, 0, + 0, 1, 3, 1, 0, 2, 2, 3, 1, 0, 2, 1, 1, 3, 1, 1, 3, 1, 2, 1, + 0, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 3, 3, 1, 0, 3, 1, 1, 2, 0, + 0, 0, 2, 3, 3, 2, 2, 3, 0, 2, 3, 1, 3, 3, 0, 2, 1, 2, 2, 2, + 1, 0, 1, 3, 2, 3, 1, 1, 2, 1, 1, 0, 0, 2, 3, 2, 1, 0, 3, 1, + 3, 0, 1, 1, 2, 2, 1, 3, 3, 1, 1, 0, 0, 3, 3, 0, 0, 0, 0, 0, + 3, 1, 3, 0, 0, 0, 3, 3, 2, 1, 3, 0, 1, 3, 1, 1, 1, 0, 1, 0, + 1, 2, 2, 2, 3, 3, 0, 2, 3, 2, 1, 3, 3, 1, 1, 3, 0, 3, 3, 2, + 1, 1, 2, 0, 3, 0, 1, 2, 1, 1, 0, 0, 1, 2, 2, 0, 3, 1, 1, 1, + 3, 3, 3, 1, 0, 3, 3, 2, 2, 2, 1, 2, 0, 1, 1, 3, 0, 3, 1, 0, + 2, 2, 0, 1, 2, 3, 2, 1, 2, 0, 3, 2, 1, 3, 0, 1, 2, 0, 3, 0, + 1, 1, 2, 1 +}; + +static data_t verify_data[ARRAY_SIZE] = +{ + 72, 75, 88, 101, 80, 88, 73, 75, 80, 81, 58, 75, 86, 65, 60, 80, 84, 83, 87, 83, + 108, 93, 85, 76, 72, 98, 79, 86, 80, 96, 91, 85, 72, 64, 70, 83, 68, 92, 51, 54, + 85, 85, 60, 58, 90, 64, 55, 69, 72, 48, 94, 77, 91, 83, 70, 69, 67, 77, 59, 50, + 67, 74, 77, 67, 67, 62, 72, 71, 68, 79, 54, 61, 67, 61, 55, 62, 78, 60, 53, 64, + 67, 69, 99, 68, 88, 60, 66, 63, 70, 62, 65, 50, 53, 66, 70, 72, 75, 78, 85, 95, + 71, 89, 70, 68, 86, 88, 58, 77, 84, 70, 65, 68, 73, 75, 91, 96, 105, 92, 76, 68, + 86, 69, 80, 59, 73, 83, 88, 75, 64, 63, 71, 99, 77, 77, 69, 55, 80, 73, 54, 73, + 87, 78, 60, 69, 65, 78, 86, 89, 95, 92, 63, 69, 89, 61, 80, 65, 70, 77, 89, 77, + 79, 79, 73, 92, 64, 81, 60, 78, 81, 80, 61, 63, 89, 65, 56, 83, 77, 65, 102, 70, + 98, 86, 96, 68, 72, 89, 73, 73, 70, 89, 84, 76, 48, 61, 63, 70, 70, 79, 50, 53, + 64, 63, 43, 51, 59, 62, 43, 63, 55, 77, 79, 74, 75, 74, 64, 44, 65, 69, 72, 66, + 54, 71, 74, 72, 69, 76, 68, 89, 94, 75, 65, 53, 85, 79, 65, 74, 82, 73, 58, 70, + 84, 77, 99, 72, 92, 84, 78, 62, 59, 83, 71, 74, 63, 85, 80, 78, 71, 72, 79, 83, + 73, 82, 60, 85, 76, 82, 60, 70, 82, 68, 54, 85, 84, 70, 86, 74, 100, 88, 98, 68, + 67, 87, 69, 73, 68, 88, 76, 71, 47, 43, 47, 80, 54, 65, 40, 37, 59, 53, 33, 48, + 62, 40, 36, 55, 36, 62, 53, 57, 70, 69, 45, 43, 53, 61, 42, 57, 56, 63, 51, 47, + 59, 75, 64, 89, 83, 75, 59, 75, 91, 92, 58, 64, 83, 74, 58, 60, 76, 66, 97, 69, + 90, 95, 92, 64, 78, 75, 77, 73, 65, 78, 82, 75, 47, 54, 59, 71, 59, 56, 53, 42, + 60, 55, 40, 51, 60, 46, 36, 59, 46, 57, 67, 43, 51, 53, 53, 38, 54, 56, 55, 48, + 41, 46, 63, 63, 80, 77, 89, 102, 89, 98, 74, 86, 98, 93, 63, 76, 98, 77, 48, 101, + 86, 88, 100, 82, 102, 90, 95, 75, 86, 103, 83, 98, 80, 104, 98, 86, 71, 74, 80, 90, + 86, 87, 73, 70, 81, 83, 55, 66, 90, 66, 58, 84, 77, 84, 93, 72, 99, 75, 85, 65, + 70, 89, 71, 82, 64, 79, 82, 80, 67, 73, 86, 101, 78, 97, 66, 64, 84, 80, 55, 64, + 79, 73, 51, 79, 89, 68, 94, 77, 109, 102, 82, 61, 66, 93, 88, 70, 82, 82, 85, 69, + 69, 72, 66, 97, 85, 90, 70, 59, 76, 89, 53, 56, 90, 79, 71, 64, 70, 67, 100, 92, + 106, 89, 83, 78, 73, 80, 70, 72, 65, 70, 92, 88, 57, 76, 55, 85, 66, 80, 61, 63, + 63, 78, 54, 58, 71, 73, 54, 63, 63, 62, 89, 76, 86, 81, 83, 54, 70, 81, 78, 64, + 56, 72, 74, 81, 75, 63, 68, 89, 65, 77, 58, 68, 75, 83, 52, 62, 82, 63, 55, 75, + 51, 70, 95, 66, 83, 77, 86, 61, 64, 77, 48, 70, 66, 82, 72, 75, 79, 71, 72, 89, + 78, 78, 66, 59, 91, 80, 55, 64, 79, 68, 54, 71, 67, 75, 87, 84, 100, 101, 76, 58, + 74, 82, 61, 74, 75, 97, 85, 79, 61, 55, 69, 68, 72, 65, 52, 64, 80, 73, 48, 54, + 71, 66, 42, 61, 66, 63, 92, 64, 85, 77, 73, 54, 74, 73, 76, 66, 62, 79, 85, 70, + 71, 84, 87, 81, 88, 86, 77, 77, 93, 88, 78, 71, 101, 89, 58, 84, 95, 81, 89, 97, + 104, 79, 83, 76, 90, 81, 91, 74, 70, 76, 91, 80, 51, 48, 56, 69, 47, 63, 54, 42, + 63, 63, 42, 52, 66, 56, 39, 59, 61, 52, 59, 63, 62, 68, 57, 35, 67, 58, 56, 52, + 61, 63, 60, 47, 85, 75, 89, 106, 88, 95, 74, 82, 107, 107, 64, 78, 98, 90, 62, 91, + 79, 87, 111, 84, 104, 106, 96, 68, 94, 99, 81, 89, 79, 105, 95, 86, 65, 63, 77, 89, + 66, 88, 56, 73, 82, 92, 41, 62, 85, 66, 50, 81, 57, 71, 77, 78, 86, 89, 77, 53, + 67, 78, 61, 63, 72, 82, 69, 66, 59, 46, 55, 70, 56, 64, 45, 50, 65, 64, 42, 56, + 78, 49, 51, 52, 38, 56, 72, 55, 73, 72, 61, 50, 63, 60, 47, 57, 55, 73, 53, 68, + 85, 88, 91, 96, 82, 89, 73, 76, 87, 86, 67, 69, 96, 84, 57, 89, 87, 89, 99, 88, + 104, 90, 85, 75, 88, 92, 85, 75, 74, 87, 103, 94, 55, 48, 56, 65, 72, 50, 45, 51, + 63, 62, 47, 57, 79, 53, 36, 63, 54, 68, 71, 59, 63, 61, 63, 41, 50, 73, 57, 59, + 56, 76, 73, 65, 61, 64, 61, 79, 53, 73, 57, 44, 61, 59, 59, 56, 81, 59, 49, 62, + 65, 55, 69, 72, 79, 70, 58, 57, 68, 61, 62, 50, 57, 60, 66, 66, 63, 77, 81, 89, + 85, 81, 76, 73, 78, 95, 59, 70, 81, 77, 46, 79, 78, 79, 83, 81, 84, 82, 85, 48, + 74, 85, 85, 74, 74, 80, 80, 74, 60, 76, 80, 97, 88, 93, 66, 66, 73, 84, 56, 70, + 90, 63, 58, 78, 73, 93, 90, 78, 94, 88, 82, 67, 85, 70, 81, 86, 74, 82, 88, 82, + 68, 73, 75, 91, 78, 97, 71, 66, 74, 85, 50, 59, 86, 77, 70, 74, 75, 74, 99, 82, + 99, 91, 86, 65, 80, 77, 72, 69, 60, 78, 90, 87, 79, 69, 74, 98, 70, 86, 81, 67, + 69, 78, 48, 65, 88, 70, 70, 70, 69, 72, 96, 90, 99, 82, 81, 76, 98, 73, 74, 71, + 69, 73, 94, 89 +}; + diff --git a/mt/ar_matmul/matmul_gendata.pl b/mt/ar_matmul/matmul_gendata.pl new file mode 100755 index 0000000..f21bb46 --- /dev/null +++ b/mt/ar_matmul/matmul_gendata.pl @@ -0,0 +1,200 @@ +#!/usr/bin/perl -w +#========================================================================== +# matmul_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the matmul benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: matmul_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[ARRAY_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3d",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + + + +#-------------------------------------------------------------------------- +# Matmul +#-------------------------------------------------------------------------- + +# http://answers.oreilly.com/topic/418-how-to-multiply-matrices-in-perl/ + +sub mmult { + my ($m1,$m2) = @_; + my ($m1rows,$m1cols) = matdim($m1); + my ($m2rows,$m2cols) = matdim($m2); + + my $result = [ ]; + my ($i, $j, $k); + + for $i (range($m1rows)) { + for $j (range($m2cols)) { + for $k (range($m1cols)) { + $result->[$i][$j] += $m1->[$i][$k] * $m2->[$k][$j]; + } + } + } + return $result; +} + +sub range { 0 .. ($_[0] - 1) } + + +sub veclen { + my $ary_ref = $_[0]; + my $type = ref $ary_ref; + if ($type ne "ARRAY") { die "$type is bad array ref for $ary_ref" } + return scalar(@$ary_ref); +} + +sub matdim { + my $matrix = $_[0]; + my $rows = veclen($matrix); + my $cols = veclen($matrix->[0]); + return ($rows, $cols); +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + # create random input arrays + my $mat_values1; + my $mat_values2; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + $mat_values1->[$i][$j] = int(rand(4)); + $mat_values2->[$i][$j] = int(rand(4)); + } + } + + # perform matmul + my $mat_results = mmult( $mat_values1, $mat_values2 ); + + # translate 2d arrays to 1d-somethings (I don't know how to code in perl - Chris) + my @values1; + my @values2; + my @results; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + my $value1 = $mat_values1->[$i][$j]; + my $value2 = $mat_values2->[$i][$j]; + my $result = $mat_results->[$i][$j]; + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @results, $result ); + } + } + + print "\n\#define ARRAY_SIZE ".($opts{"size"}*$opts{"size"})." \n\n"; + print "\n\#define DIM_SIZE ".$opts{"size"}." \n\n"; + + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@results); + +} + +main(); + diff --git a/mt/ar_matmul/matmul_mi.c b/mt/ar_matmul/matmul_mi.c new file mode 120000 index 0000000..bd5f2b1 --- /dev/null +++ b/mt/ar_matmul/matmul_mi.c @@ -0,0 +1 @@ +matmul.c
\ No newline at end of file diff --git a/mt/ar_vvadd/ar_vvadd.c b/mt/ar_vvadd/ar_vvadd.c new file mode 100755 index 0000000..eeb578c --- /dev/null +++ b/mt/ar_vvadd/ar_vvadd.c @@ -0,0 +1,170 @@ +//************************************************************************** +// Vector-vector add benchmark +//-------------------------------------------------------------------------- +// Author : Andrew Waterman +// TA : Christopher Celio +// Student : +// +// This benchmark adds two vectors and writes the results to a +// third vector. The input data (and reference data) should be +// generated using the vvadd_gendata.pl perl script and dumped +// to a file named dataset.h + +// to print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DATA_SIZE, 10*_c/DATA_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %4ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %4ld, correct[%d]= %4ld\n", + i, (long) test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// vvadd function + +//perform in-place vvadd +void __attribute__((noinline)) vvadd(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + size_t i; + + // interleave accesses + for (i = coreid; i < n; i+=ncores) + { + x[i] = x[i] + y[i]; + } +} + +void __attribute__((noinline)) vvadd_opt(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + size_t i; + for(int i = coreid*(n/ncores); i < (coreid+1)*(n/ncores) && i < n; i++) + { + x[i] = x[i] + y[i]; + } +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[DATA_SIZE]; + + // because we're going to perform an in-place vvadd (and we're going to run + // it a couple of times) let's copy the input data to a temporary results + // array + + size_t i; + if (coreid == 0) + { + for (i = 0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + + + // Execute the provided, terrible vvadd + barrier(); + stats(vvadd(DATA_SIZE, results_data, input2_data); barrier()); + + + // verify + verify(DATA_SIZE, results_data, verify_data); + + // reset results from the first trial + if (coreid == 0) + { + for (i=0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + barrier(); + + + // Execute your faster vvadd + barrier(); + stats(vvadd_opt(DATA_SIZE, results_data, input2_data); barrier()); + +#ifdef DEBUG + printArray("results: ", DATA_SIZE, results_data); + printArray("verify : ", DATA_SIZE, verify_data); +#endif + + // verify + verify(DATA_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/ar_vvadd/dataset.h b/mt/ar_vvadd/dataset.h new file mode 100755 index 0000000..ce9f936 --- /dev/null +++ b/mt/ar_vvadd/dataset.h @@ -0,0 +1,165 @@ + +#define DATA_SIZE 1000 + +static data_t input1_data[DATA_SIZE] = +{ + 0.00, 15.00, 10.00, 3.00, 14.00, 6.00, 2.00, 18.00, 11.00, 15.00, 11.00, 0.00, 17.00, 16.00, 7.00, 13.00, 18.00, 2.00, 2.00, 5.00, + 8.00, 5.00, 12.00, 14.00, 6.00, 12.00, 16.00, 7.00, 9.00, 17.00, 10.00, 10.00, 3.00, 5.00, 14.00, 11.00, 9.00, 12.00, 3.00, 1.00, + 5.00, 4.00, 6.00, 17.00, 17.00, 4.00, 17.00, 15.00, 17.00, 18.00, 3.00, 18.00, 10.00, 6.00, 12.00, 12.00, 3.00, 2.00, 16.00, 1.00, + 5.00, 6.00, 2.00, 17.00, 16.00, 5.00, 10.00, 18.00, 14.00, 4.00, 9.00, 9.00, 7.00, 4.00, 8.00, 13.00, 12.00, 6.00, 4.00, 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12.00, 11.00, 17.00, 4.00, 13.00, 7.00, 16.00, 12.00, 7.00, 18.00 +}; + +static data_t input2_data[DATA_SIZE] = +{ + 8.00, 6.00, 0.00, 18.00, 6.00, 10.00, 1.00, 2.00, 4.00, 2.00, 4.00, 10.00, 6.00, 11.00, 17.00, 4.00, 0.00, 16.00, 14.00, 12.00, + 9.00, 8.00, 13.00, 15.00, 18.00, 2.00, 13.00, 10.00, 5.00, 4.00, 12.00, 9.00, 1.00, 13.00, 12.00, 7.00, 10.00, 17.00, 11.00, 10.00, + 18.00, 15.00, 11.00, 12.00, 7.00, 9.00, 6.00, 5.00, 11.00, 7.00, 10.00, 12.00, 18.00, 18.00, 15.00, 1.00, 3.00, 18.00, 11.00, 16.00, + 13.00, 18.00, 4.00, 13.00, 8.00, 7.00, 10.00, 13.00, 0.00, 9.00, 1.00, 16.00, 13.00, 7.00, 5.00, 5.00, 11.00, 1.00, 6.00, 10.00, + 12.00, 3.00, 10.00, 5.00, 15.00, 15.00, 13.00, 14.00, 14.00, 1.00, 18.00, 5.00, 16.00, 14.00, 10.00, 4.00, 8.00, 4.00, 6.00, 6.00, + 13.00, 14.00, 8.00, 5.00, 14.00, 10.00, 9.00, 10.00, 17.00, 15.00, 6.00, 16.00, 12.00, 9.00, 10.00, 16.00, 16.00, 8.00, 1.00, 12.00, + 7.00, 0.00, 0.00, 3.00, 5.00, 7.00, 10.00, 3.00, 17.00, 10.00, 18.00, 16.00, 1.00, 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22.00, 10.00, + 24.00, 2.00, 17.00, 9.00, 22.00, 30.00, 24.00, 33.00, 25.00, 17.00, 23.00, 9.00, 13.00, 15.00, 23.00, 10.00, 1.00, 22.00, 17.00, 10.00, + 32.00, 24.00, 26.00, 4.00, 15.00, 0.00, 27.00, 23.00, 28.00, 23.00, 30.00, 7.00, 16.00, 33.00, 20.00, 14.00, 23.00, 14.00, 20.00, 14.00, + 7.00, 25.00, 24.00, 12.00, 29.00, 16.00, 17.00, 20.00, 29.00, 16.00, 13.00, 18.00, 26.00, 18.00, 18.00, 17.00, 13.00, 29.00, 14.00, 17.00, + 24.00, 16.00, 21.00, 14.00, 26.00, 9.00, 11.00, 28.00, 25.00, 15.00, 15.00, 12.00, 6.00, 14.00, 27.00, 14.00, 24.00, 18.00, 18.00, 14.00, + 32.00, 21.00, 26.00, 13.00, 6.00, 24.00, 22.00, 27.00, 17.00, 26.00, 19.00, 21.00, 19.00, 9.00, 21.00, 25.00, 17.00, 27.00, 15.00, 18.00 +}; + diff --git a/mt/ar_vvadd/vvadd_gendata.pl b/mt/ar_vvadd/vvadd_gendata.pl new file mode 100755 index 0000000..a9fceac --- /dev/null +++ b/mt/ar_vvadd/vvadd_gendata.pl @@ -0,0 +1,139 @@ +#!/usr/bin/perl -w +#========================================================================== +# vvadd_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the vvadd benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: vvadd_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[DATA_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3.2f",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + my @values1; + my @values2; + my @sum; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + my $value1 = int(rand(19)); + my $value2 = int(rand(19)); + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @sum, $value1 + $value2 ); + } + + + print "\n\#define DATA_SIZE ".$opts{"size"}." \n\n"; + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@sum ); + +} + +main(); + diff --git a/mt/as_matmul/as_matmul.c b/mt/as_matmul/as_matmul.c new file mode 100755 index 0000000..d98da8e --- /dev/null +++ b/mt/as_matmul/as_matmul.c @@ -0,0 +1,281 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + + int i, j, k, n, m; + + + //matmul_naive(32, input1_data, input2_data, results_data); barrier(): 957424 cycles, 29.2 cycles/iter, 3.6 CPI + //matmul(32, input1_data, input2_data, results_data); barrier(): 340408 cycles, 10.3 cycles/iter, 1.8 CPI + + for (n = 0; n < lda; n += 1) { + for (m = 0; m < lda; m += 1) { + bTranspose[lda*m + n] = B[lda*n + m]; + bTranspose[lda*n + m] = B[lda*m + n]; + } + } + barrier(); + + for ( j = coreid; j < lda; j += 2*ncores ) { + for ( i = 0; i < lda; i += 1 ){ + c1 = 0; //global vars c1, c2 + c2 = 0; + for ( k = 0; k < lda; k += 1 ) { + c1 += A[j * lda + k] * bTranspose[i*lda + k]; + c2 += A[(j+2) * lda + k] * bTranspose[i*lda + k]; + + //barrier(); + } + + C[i + j * lda] = c1; + C[i + (j+2) * lda] = c2; + barrier(); + } + //barrier(); + } + + + + + //matmul_naive(32, input1_data, input2_data, results_data); barrier(): 983609 cycles, 30.0 cycles/iter, 3.7 CPI + //matmul(32, input1_data, input2_data, results_data); barrier(): 389942 cycles, 11.9 cycles/iter, 2.5 CPI + + /* + for ( j = coreid; j < lda; j += 2*ncores ) { + for ( i = 0; i < lda; i += 1 ){ + c1 = 0; //global vars c1, c2 + c2 = 0; + for ( k = 0; k < lda; k += 1 ) { + c1 += A[j * lda + k] * B[k*lda + i]; + c2 += A[(j+2) * lda + k] * B[k*lda + i]; + + //barrier(); + } + + C[i + j * lda] = c1; + C[i + (j+2) * lda] = c2; + barrier(); + } + //barrier(); + } + */ + + // matmul_naive(32, input1_data, input2_data, results_data); barrier(): 973781 cycles, 29.7 cycles/iter, 3.7 CPI + // matmul(32, input1_data, input2_data, results_data); barrier(): 461066 cycles, 14.0 cycles/iter, 3.5 CPI + // for ( k = 0; k < lda; k += 1 ) { + // for ( j = coreid; j < lda; j += 2*ncores ) { + // for ( i = 0; i < lda; i += 1 ){ + // C[i + j * lda] += A[j * lda + k] * B[k*lda + i]; + // C[i + (j+2) * lda] += A[(j+2) * lda + k] * B[k*lda + i]; + // //barrier(); + // } + // barrier(); + // } + // //barrier(); + // } + + + // matmul_naive(32, input1_data, input2_data, results_data); barrier(): 965136 cycles, 29.4 cycles/iter, 3.7 CPI + // matmul(32, input1_data, input2_data, results_data); barrier(): 513779 cycles, 15.6 cycles/iter, 3.2 CPI + + // for ( j = coreid; j < lda; j += 2*ncores ) { + // for ( i = 0; i < lda; i += 1 ){ + // for ( k = 0; k < lda; k += 1 ) { + // C[i + j * lda] += A[j * lda + k] * B[k*lda + i]; + // C[i + (j+2) * lda] += A[(j+2) * lda + k] * B[k*lda + i]; + + // //barrier(); + // } + // barrier(); + // } + // //barrier(); + //} + + + // matmul_naive(32, input1_data, input2_data, results_data); barrier(): 937892 cycles, 28.6 cycles/iter, 3.6 CPI + // matmul(32, input1_data, input2_data, results_data); barrier(): 576478 cycles, 17.5 cycles/iter, 3.5 CPI + + // for ( i = 0; i < lda; i += 1 ){ + // for ( j = coreid; j < lda; j += 2*ncores ) { + // for ( k = 0; k < lda; k += 1 ) { + // C[i + j * lda] += A[j * lda + k] * B[k*lda + i]; + // C[i + (j+2) * lda] += A[(j+2) * lda + k] * B[k*lda + i]; + + // //barrier(); + // } + // barrier(); + // } + // //barrier(); + // } + + //for ( i = coreid; i < lda; i += ncores ){ + // for ( j = coreid; j < lda; j += ncores ) { + // for ( k = coreid; k < lda; k += ncores ) { + // C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + // } + //barrier(); + // } + //} +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + +// // Execute the provided, naive matmul +// barrier(); +// stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); +// +// +// // verify +// verify(ARRAY_SIZE, results_data, verify_data); +// +// // clear results from the first trial +// size_t i; +// if (coreid == 0) +// for (i=0; i < ARRAY_SIZE; i++) +// results_data[i] = 0; +// barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/as_matmul/dataset.h b/mt/as_matmul/dataset.h new file mode 100755 index 0000000..75e80d6 --- /dev/null +++ b/mt/as_matmul/dataset.h @@ -0,0 +1,180 @@ + +#define ARRAY_SIZE 1024 + + +#define DIM_SIZE 32 + +static int c1; +static int c2; +//static int n; +//static int m; +static data_t bTranspose[DIM_SIZE*DIM_SIZE]; + +static data_t input1_data[ARRAY_SIZE] = +{ + 0, 3, 2, 0, 3, 1, 0, 3, 2, 3, 2, 0, 3, 3, 1, 2, 3, 0, 0, 1, + 1, 1, 2, 3, 1, 2, 3, 1, 1, 3, 2, 2, 0, 1, 3, 2, 2, 2, 0, 0, + 1, 0, 1, 3, 3, 0, 3, 3, 3, 3, 0, 3, 2, 1, 2, 2, 0, 0, 3, 0, + 1, 1, 0, 3, 3, 1, 2, 3, 3, 0, 1, 2, 1, 0, 1, 2, 2, 1, 0, 3, + 1, 0, 2, 2, 1, 1, 1, 1, 1, 1, 2, 0, 3, 1, 1, 2, 2, 3, 3, 1, + 3, 2, 0, 0, 0, 3, 3, 3, 2, 1, 2, 3, 1, 0, 0, 0, 0, 1, 2, 2, + 1, 1, 3, 3, 3, 1, 1, 2, 3, 1, 3, 3, 2, 3, 2, 1, 2, 3, 0, 2, + 2, 1, 1, 0, 0, 0, 0, 0, 1, 3, 3, 1, 1, 1, 2, 2, 3, 2, 1, 1, + 1, 1, 3, 0, 2, 2, 1, 3, 2, 1, 2, 2, 1, 3, 1, 3, 1, 3, 2, 3, + 1, 2, 1, 3, 2, 2, 0, 1, 0, 0, 1, 2, 3, 3, 1, 0, 0, 0, 3, 1, + 2, 3, 2, 3, 2, 0, 0, 0, 0, 0, 3, 1, 3, 0, 0, 0, 3, 1, 1, 1, + 1, 2, 1, 2, 3, 2, 0, 0, 2, 2, 3, 0, 3, 0, 0, 3, 0, 3, 1, 3, + 3, 1, 1, 1, 2, 2, 1, 3, 0, 3, 3, 1, 0, 0, 3, 2, 1, 3, 3, 3, + 1, 0, 1, 1, 2, 1, 0, 1, 1, 2, 2, 3, 1, 2, 2, 2, 0, 1, 3, 3, + 3, 2, 2, 1, 0, 1, 2, 0, 1, 1, 1, 1, 2, 3, 2, 2, 3, 3, 0, 0, + 2, 0, 0, 0, 3, 0, 1, 0, 3, 0, 0, 0, 3, 0, 0, 2, 0, 2, 0, 0, + 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 0, 2, 0, 0, 3, 3, 2, 3, 3, 0, + 1, 0, 2, 2, 0, 3, 3, 1, 1, 0, 2, 3, 2, 1, 1, 0, 1, 2, 1, 2, + 2, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 3, 3, 2, 0, 0, 1, 3, 0, 3, + 3, 0, 0, 0, 0, 3, 3, 1, 0, 0, 3, 3, 2, 1, 2, 1, 3, 3, 0, 1, + 3, 0, 2, 3, 1, 3, 3, 3, 3, 3, 0, 1, 1, 3, 0, 2, 2, 3, 1, 2, + 2, 2, 1, 3, 3, 0, 3, 0, 0, 2, 0, 2, 3, 0, 1, 3, 2, 2, 0, 0, + 2, 3, 0, 2, 2, 2, 3, 1, 0, 3, 3, 3, 3, 1, 0, 3, 3, 2, 0, 3, + 2, 0, 3, 0, 2, 0, 0, 2, 2, 1, 0, 2, 3, 1, 1, 1, 1, 2, 3, 3, + 3, 0, 0, 3, 3, 3, 2, 3, 3, 1, 2, 2, 3, 1, 2, 1, 1, 3, 0, 1, + 2, 0, 2, 0, 0, 1, 3, 2, 0, 1, 3, 2, 3, 3, 0, 0, 0, 1, 0, 3, + 3, 2, 2, 2, 1, 1, 2, 2, 1, 3, 2, 0, 1, 3, 2, 0, 2, 1, 3, 0, + 0, 0, 1, 3, 3, 2, 2, 2, 3, 1, 0, 0, 1, 1, 2, 1, 3, 1, 1, 2, + 2, 3, 2, 3, 0, 2, 3, 3, 0, 3, 0, 0, 1, 0, 0, 0, 1, 3, 1, 1, + 2, 3, 2, 1, 1, 2, 2, 2, 3, 0, 1, 1, 2, 1, 2, 0, 2, 3, 1, 3, + 0, 1, 1, 3, 0, 2, 3, 0, 1, 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 2, + 3, 0, 1, 1, 1, 1, 2, 0, 1, 2, 0, 1, 1, 1, 0, 1, 3, 2, 3, 1, + 0, 2, 1, 2, 1, 3, 3, 1, 0, 2, 2, 3, 1, 3, 1, 3, 0, 1, 0, 3, + 0, 3, 2, 0, 3, 3, 3, 0, 3, 2, 2, 2, 1, 3, 0, 0, 1, 1, 3, 0, + 1, 2, 1, 0, 0, 0, 3, 2, 2, 0, 0, 2, 1, 3, 0, 0, 3, 0, 0, 2, + 1, 1, 2, 2, 1, 3, 2, 2, 1, 1, 2, 1, 3, 2, 1, 1, 3, 0, 1, 3, + 3, 2, 2, 1, 0, 3, 2, 2, 2, 3, 0, 1, 3, 3, 2, 3, 0, 3, 2, 3, + 1, 1, 0, 0, 0, 2, 3, 0, 3, 0, 1, 1, 3, 1, 3, 2, 1, 1, 2, 1, + 3, 2, 0, 2, 1, 0, 2, 3, 2, 3, 2, 1, 2, 3, 0, 0, 1, 1, 0, 0, + 2, 1, 0, 1, 2, 2, 2, 2, 0, 3, 3, 1, 0, 0, 0, 0, 3, 1, 1, 0, + 0, 0, 0, 1, 2, 2, 1, 3, 0, 2, 3, 2, 3, 2, 2, 1, 2, 2, 3, 3, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 2, 2, 3, 1, 1, 1, 0, 0, 0, 3, 0, + 1, 0, 3, 1, 1, 3, 0, 1, 2, 2, 0, 0, 3, 3, 3, 3, 2, 1, 0, 0, + 1, 0, 2, 0, 1, 1, 0, 0, 3, 3, 2, 1, 1, 1, 0, 1, 1, 2, 2, 1, + 1, 2, 0, 3, 1, 3, 1, 0, 3, 0, 3, 1, 1, 1, 0, 2, 0, 3, 1, 0, + 1, 0, 2, 0, 2, 3, 3, 3, 1, 2, 3, 2, 2, 0, 1, 1, 0, 3, 3, 1, + 3, 3, 2, 0, 2, 0, 2, 2, 3, 3, 3, 0, 2, 3, 3, 1, 3, 2, 2, 2, + 0, 2, 3, 0, 2, 0, 3, 2, 2, 1, 1, 0, 2, 2, 2, 0, 2, 2, 0, 1, + 3, 2, 1, 3, 2, 2, 0, 3, 3, 1, 2, 2, 0, 0, 3, 2, 1, 2, 2, 1, + 3, 1, 2, 0, 0, 1, 1, 2, 1, 3, 2, 2, 3, 0, 2, 1, 3, 2, 1, 3, + 2, 3, 3, 1, 2, 1, 2, 2, 0, 0, 0, 3, 0, 2, 3, 1, 0, 0, 2, 3, + 3, 2, 2, 1 +}; + +static data_t input2_data[ARRAY_SIZE] = +{ + 1, 1, 0, 3, 1, 2, 0, 0, 0, 0, 0, 2, 1, 2, 3, 0, 0, 3, 3, 2, + 2, 1, 2, 3, 3, 0, 2, 2, 1, 1, 2, 2, 0, 2, 2, 1, 2, 3, 2, 2, + 3, 3, 2, 2, 1, 1, 1, 1, 2, 1, 2, 2, 3, 3, 3, 0, 0, 3, 2, 3, + 2, 3, 1, 2, 1, 1, 2, 2, 0, 1, 0, 3, 2, 1, 1, 1, 2, 0, 1, 2, + 2, 0, 2, 1, 3, 3, 2, 3, 2, 0, 3, 1, 3, 3, 2, 0, 1, 0, 1, 1, + 2, 2, 1, 1, 2, 2, 1, 2, 3, 3, 1, 3, 2, 2, 2, 3, 3, 1, 0, 2, + 1, 0, 0, 0, 1, 1, 2, 0, 3, 2, 3, 3, 0, 2, 3, 1, 0, 0, 2, 1, + 2, 0, 2, 1, 1, 2, 3, 1, 3, 2, 1, 0, 0, 0, 0, 0, 2, 2, 0, 2, + 1, 2, 0, 3, 2, 2, 0, 0, 3, 2, 1, 1, 3, 0, 2, 0, 0, 1, 0, 2, + 3, 3, 1, 3, 3, 0, 0, 2, 2, 0, 0, 0, 1, 0, 0, 1, 3, 0, 2, 1, + 3, 2, 2, 1, 3, 2, 0, 1, 2, 2, 3, 2, 1, 1, 1, 1, 3, 0, 1, 3, + 2, 2, 3, 1, 1, 2, 0, 2, 1, 1, 2, 3, 1, 0, 1, 0, 1, 1, 0, 0, + 2, 0, 3, 0, 3, 0, 3, 2, 2, 3, 3, 2, 1, 0, 2, 2, 1, 1, 0, 3, + 3, 2, 2, 0, 0, 3, 0, 1, 0, 0, 1, 2, 0, 1, 3, 0, 1, 2, 2, 0, + 0, 3, 0, 3, 0, 1, 1, 2, 0, 0, 0, 3, 0, 0, 2, 1, 1, 1, 0, 2, + 1, 3, 1, 2, 0, 3, 0, 3, 1, 3, 0, 0, 2, 2, 2, 2, 3, 3, 2, 1, + 2, 2, 1, 1, 2, 2, 2, 2, 0, 3, 0, 0, 2, 0, 1, 2, 0, 3, 2, 3, + 2, 0, 2, 1, 2, 1, 0, 2, 1, 1, 3, 2, 2, 3, 1, 0, 3, 3, 1, 0, + 3, 2, 2, 0, 0, 3, 0, 0, 2, 0, 3, 2, 3, 1, 1, 0, 0, 2, 3, 0, + 0, 1, 1, 1, 2, 1, 3, 2, 1, 3, 0, 1, 3, 3, 1, 1, 1, 1, 1, 1, + 0, 0, 2, 3, 2, 2, 2, 3, 2, 3, 1, 2, 3, 2, 2, 2, 0, 1, 3, 0, + 1, 1, 0, 1, 0, 1, 1, 3, 3, 1, 2, 2, 3, 2, 0, 2, 2, 0, 1, 3, + 0, 1, 3, 2, 1, 3, 3, 2, 0, 1, 3, 2, 0, 2, 1, 1, 0, 3, 0, 1, + 1, 1, 1, 1, 3, 0, 0, 1, 0, 2, 3, 1, 3, 0, 2, 1, 3, 0, 3, 0, + 3, 2, 2, 0, 0, 2, 1, 3, 3, 2, 3, 2, 2, 1, 2, 2, 3, 0, 3, 2, + 2, 0, 3, 2, 3, 2, 0, 0, 1, 2, 0, 0, 2, 0, 0, 3, 3, 2, 0, 0, + 3, 3, 0, 2, 3, 1, 0, 1, 0, 2, 1, 0, 2, 1, 0, 1, 0, 3, 0, 2, + 2, 3, 0, 0, 2, 1, 0, 1, 0, 0, 0, 2, 2, 3, 2, 0, 3, 3, 2, 1, + 0, 0, 3, 1, 2, 3, 3, 1, 0, 3, 1, 1, 0, 3, 3, 3, 2, 2, 2, 0, + 1, 2, 0, 3, 0, 1, 0, 1, 1, 0, 1, 2, 0, 3, 2, 0, 1, 2, 2, 0, + 2, 0, 0, 1, 0, 3, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 1, 1, 1, 0, + 2, 1, 1, 3, 2, 0, 2, 1, 1, 0, 2, 2, 1, 3, 0, 2, 1, 0, 1, 2, + 0, 1, 3, 2, 3, 2, 1, 0, 2, 0, 2, 2, 3, 1, 1, 3, 2, 3, 2, 2, + 0, 2, 0, 0, 0, 3, 2, 0, 2, 2, 3, 3, 3, 2, 1, 2, 0, 0, 3, 0, + 2, 0, 3, 2, 2, 3, 0, 3, 2, 1, 2, 2, 1, 2, 0, 0, 3, 1, 2, 0, + 2, 3, 2, 2, 1, 1, 1, 3, 3, 3, 3, 3, 1, 3, 0, 1, 3, 2, 2, 1, + 0, 1, 1, 2, 1, 2, 3, 1, 2, 2, 1, 2, 1, 1, 0, 3, 3, 1, 1, 3, + 2, 0, 0, 1, 2, 0, 1, 3, 1, 0, 0, 2, 2, 3, 3, 0, 2, 3, 2, 1, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 3, 3, 3, 1, 3, 0, 3, 1, 1, 2, 2, + 2, 1, 0, 3, 2, 3, 0, 2, 3, 2, 3, 1, 2, 3, 3, 1, 2, 1, 0, 0, + 0, 3, 3, 3, 3, 0, 3, 3, 3, 3, 2, 1, 0, 3, 0, 3, 2, 3, 1, 0, + 0, 1, 3, 1, 0, 2, 2, 3, 1, 0, 2, 1, 1, 3, 1, 1, 3, 1, 2, 1, + 0, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 3, 3, 1, 0, 3, 1, 1, 2, 0, + 0, 0, 2, 3, 3, 2, 2, 3, 0, 2, 3, 1, 3, 3, 0, 2, 1, 2, 2, 2, + 1, 0, 1, 3, 2, 3, 1, 1, 2, 1, 1, 0, 0, 2, 3, 2, 1, 0, 3, 1, + 3, 0, 1, 1, 2, 2, 1, 3, 3, 1, 1, 0, 0, 3, 3, 0, 0, 0, 0, 0, + 3, 1, 3, 0, 0, 0, 3, 3, 2, 1, 3, 0, 1, 3, 1, 1, 1, 0, 1, 0, + 1, 2, 2, 2, 3, 3, 0, 2, 3, 2, 1, 3, 3, 1, 1, 3, 0, 3, 3, 2, + 1, 1, 2, 0, 3, 0, 1, 2, 1, 1, 0, 0, 1, 2, 2, 0, 3, 1, 1, 1, + 3, 3, 3, 1, 0, 3, 3, 2, 2, 2, 1, 2, 0, 1, 1, 3, 0, 3, 1, 0, + 2, 2, 0, 1, 2, 3, 2, 1, 2, 0, 3, 2, 1, 3, 0, 1, 2, 0, 3, 0, + 1, 1, 2, 1 +}; + +static data_t verify_data[ARRAY_SIZE] = +{ + 72, 75, 88, 101, 80, 88, 73, 75, 80, 81, 58, 75, 86, 65, 60, 80, 84, 83, 87, 83, + 108, 93, 85, 76, 72, 98, 79, 86, 80, 96, 91, 85, 72, 64, 70, 83, 68, 92, 51, 54, + 85, 85, 60, 58, 90, 64, 55, 69, 72, 48, 94, 77, 91, 83, 70, 69, 67, 77, 59, 50, + 67, 74, 77, 67, 67, 62, 72, 71, 68, 79, 54, 61, 67, 61, 55, 62, 78, 60, 53, 64, + 67, 69, 99, 68, 88, 60, 66, 63, 70, 62, 65, 50, 53, 66, 70, 72, 75, 78, 85, 95, + 71, 89, 70, 68, 86, 88, 58, 77, 84, 70, 65, 68, 73, 75, 91, 96, 105, 92, 76, 68, + 86, 69, 80, 59, 73, 83, 88, 75, 64, 63, 71, 99, 77, 77, 69, 55, 80, 73, 54, 73, + 87, 78, 60, 69, 65, 78, 86, 89, 95, 92, 63, 69, 89, 61, 80, 65, 70, 77, 89, 77, + 79, 79, 73, 92, 64, 81, 60, 78, 81, 80, 61, 63, 89, 65, 56, 83, 77, 65, 102, 70, + 98, 86, 96, 68, 72, 89, 73, 73, 70, 89, 84, 76, 48, 61, 63, 70, 70, 79, 50, 53, + 64, 63, 43, 51, 59, 62, 43, 63, 55, 77, 79, 74, 75, 74, 64, 44, 65, 69, 72, 66, + 54, 71, 74, 72, 69, 76, 68, 89, 94, 75, 65, 53, 85, 79, 65, 74, 82, 73, 58, 70, + 84, 77, 99, 72, 92, 84, 78, 62, 59, 83, 71, 74, 63, 85, 80, 78, 71, 72, 79, 83, + 73, 82, 60, 85, 76, 82, 60, 70, 82, 68, 54, 85, 84, 70, 86, 74, 100, 88, 98, 68, + 67, 87, 69, 73, 68, 88, 76, 71, 47, 43, 47, 80, 54, 65, 40, 37, 59, 53, 33, 48, + 62, 40, 36, 55, 36, 62, 53, 57, 70, 69, 45, 43, 53, 61, 42, 57, 56, 63, 51, 47, + 59, 75, 64, 89, 83, 75, 59, 75, 91, 92, 58, 64, 83, 74, 58, 60, 76, 66, 97, 69, + 90, 95, 92, 64, 78, 75, 77, 73, 65, 78, 82, 75, 47, 54, 59, 71, 59, 56, 53, 42, + 60, 55, 40, 51, 60, 46, 36, 59, 46, 57, 67, 43, 51, 53, 53, 38, 54, 56, 55, 48, + 41, 46, 63, 63, 80, 77, 89, 102, 89, 98, 74, 86, 98, 93, 63, 76, 98, 77, 48, 101, + 86, 88, 100, 82, 102, 90, 95, 75, 86, 103, 83, 98, 80, 104, 98, 86, 71, 74, 80, 90, + 86, 87, 73, 70, 81, 83, 55, 66, 90, 66, 58, 84, 77, 84, 93, 72, 99, 75, 85, 65, + 70, 89, 71, 82, 64, 79, 82, 80, 67, 73, 86, 101, 78, 97, 66, 64, 84, 80, 55, 64, + 79, 73, 51, 79, 89, 68, 94, 77, 109, 102, 82, 61, 66, 93, 88, 70, 82, 82, 85, 69, + 69, 72, 66, 97, 85, 90, 70, 59, 76, 89, 53, 56, 90, 79, 71, 64, 70, 67, 100, 92, + 106, 89, 83, 78, 73, 80, 70, 72, 65, 70, 92, 88, 57, 76, 55, 85, 66, 80, 61, 63, + 63, 78, 54, 58, 71, 73, 54, 63, 63, 62, 89, 76, 86, 81, 83, 54, 70, 81, 78, 64, + 56, 72, 74, 81, 75, 63, 68, 89, 65, 77, 58, 68, 75, 83, 52, 62, 82, 63, 55, 75, + 51, 70, 95, 66, 83, 77, 86, 61, 64, 77, 48, 70, 66, 82, 72, 75, 79, 71, 72, 89, + 78, 78, 66, 59, 91, 80, 55, 64, 79, 68, 54, 71, 67, 75, 87, 84, 100, 101, 76, 58, + 74, 82, 61, 74, 75, 97, 85, 79, 61, 55, 69, 68, 72, 65, 52, 64, 80, 73, 48, 54, + 71, 66, 42, 61, 66, 63, 92, 64, 85, 77, 73, 54, 74, 73, 76, 66, 62, 79, 85, 70, + 71, 84, 87, 81, 88, 86, 77, 77, 93, 88, 78, 71, 101, 89, 58, 84, 95, 81, 89, 97, + 104, 79, 83, 76, 90, 81, 91, 74, 70, 76, 91, 80, 51, 48, 56, 69, 47, 63, 54, 42, + 63, 63, 42, 52, 66, 56, 39, 59, 61, 52, 59, 63, 62, 68, 57, 35, 67, 58, 56, 52, + 61, 63, 60, 47, 85, 75, 89, 106, 88, 95, 74, 82, 107, 107, 64, 78, 98, 90, 62, 91, + 79, 87, 111, 84, 104, 106, 96, 68, 94, 99, 81, 89, 79, 105, 95, 86, 65, 63, 77, 89, + 66, 88, 56, 73, 82, 92, 41, 62, 85, 66, 50, 81, 57, 71, 77, 78, 86, 89, 77, 53, + 67, 78, 61, 63, 72, 82, 69, 66, 59, 46, 55, 70, 56, 64, 45, 50, 65, 64, 42, 56, + 78, 49, 51, 52, 38, 56, 72, 55, 73, 72, 61, 50, 63, 60, 47, 57, 55, 73, 53, 68, + 85, 88, 91, 96, 82, 89, 73, 76, 87, 86, 67, 69, 96, 84, 57, 89, 87, 89, 99, 88, + 104, 90, 85, 75, 88, 92, 85, 75, 74, 87, 103, 94, 55, 48, 56, 65, 72, 50, 45, 51, + 63, 62, 47, 57, 79, 53, 36, 63, 54, 68, 71, 59, 63, 61, 63, 41, 50, 73, 57, 59, + 56, 76, 73, 65, 61, 64, 61, 79, 53, 73, 57, 44, 61, 59, 59, 56, 81, 59, 49, 62, + 65, 55, 69, 72, 79, 70, 58, 57, 68, 61, 62, 50, 57, 60, 66, 66, 63, 77, 81, 89, + 85, 81, 76, 73, 78, 95, 59, 70, 81, 77, 46, 79, 78, 79, 83, 81, 84, 82, 85, 48, + 74, 85, 85, 74, 74, 80, 80, 74, 60, 76, 80, 97, 88, 93, 66, 66, 73, 84, 56, 70, + 90, 63, 58, 78, 73, 93, 90, 78, 94, 88, 82, 67, 85, 70, 81, 86, 74, 82, 88, 82, + 68, 73, 75, 91, 78, 97, 71, 66, 74, 85, 50, 59, 86, 77, 70, 74, 75, 74, 99, 82, + 99, 91, 86, 65, 80, 77, 72, 69, 60, 78, 90, 87, 79, 69, 74, 98, 70, 86, 81, 67, + 69, 78, 48, 65, 88, 70, 70, 70, 69, 72, 96, 90, 99, 82, 81, 76, 98, 73, 74, 71, + 69, 73, 94, 89 +}; + diff --git a/mt/as_matmul/matmul_gendata.pl b/mt/as_matmul/matmul_gendata.pl new file mode 100755 index 0000000..f21bb46 --- /dev/null +++ b/mt/as_matmul/matmul_gendata.pl @@ -0,0 +1,200 @@ +#!/usr/bin/perl -w +#========================================================================== +# matmul_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the matmul benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: matmul_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[ARRAY_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3d",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + + + +#-------------------------------------------------------------------------- +# Matmul +#-------------------------------------------------------------------------- + +# http://answers.oreilly.com/topic/418-how-to-multiply-matrices-in-perl/ + +sub mmult { + my ($m1,$m2) = @_; + my ($m1rows,$m1cols) = matdim($m1); + my ($m2rows,$m2cols) = matdim($m2); + + my $result = [ ]; + my ($i, $j, $k); + + for $i (range($m1rows)) { + for $j (range($m2cols)) { + for $k (range($m1cols)) { + $result->[$i][$j] += $m1->[$i][$k] * $m2->[$k][$j]; + } + } + } + return $result; +} + +sub range { 0 .. ($_[0] - 1) } + + +sub veclen { + my $ary_ref = $_[0]; + my $type = ref $ary_ref; + if ($type ne "ARRAY") { die "$type is bad array ref for $ary_ref" } + return scalar(@$ary_ref); +} + +sub matdim { + my $matrix = $_[0]; + my $rows = veclen($matrix); + my $cols = veclen($matrix->[0]); + return ($rows, $cols); +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + # create random input arrays + my $mat_values1; + my $mat_values2; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + $mat_values1->[$i][$j] = int(rand(4)); + $mat_values2->[$i][$j] = int(rand(4)); + } + } + + # perform matmul + my $mat_results = mmult( $mat_values1, $mat_values2 ); + + # translate 2d arrays to 1d-somethings (I don't know how to code in perl - Chris) + my @values1; + my @values2; + my @results; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + my $value1 = $mat_values1->[$i][$j]; + my $value2 = $mat_values2->[$i][$j]; + my $result = $mat_results->[$i][$j]; + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @results, $result ); + } + } + + print "\n\#define ARRAY_SIZE ".($opts{"size"}*$opts{"size"})." \n\n"; + print "\n\#define DIM_SIZE ".$opts{"size"}." \n\n"; + + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@results); + +} + +main(); + diff --git a/mt/as_matmul/matmul_mi.c b/mt/as_matmul/matmul_mi.c new file mode 100644 index 0000000..130fdb7 --- /dev/null +++ b/mt/as_matmul/matmul_mi.c @@ -0,0 +1,189 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + + int i, j, k, n, m, c1, c2; + + //matmul_naive(32, input1_data, input2_data, results_data); barrier(): 952596 cycles, 29.0 cycles/iter, 3.6 CPI + //matmul(32, input1_data, input2_data, results_data); barrier(): 570135 cycles, 17.3 cycles/iter, 3.4 CPI + + for ( j = coreid; j < lda; j += 2*ncores ) { + for ( i = 0; i < lda; i += 1 ){ + c1 = 0; //global vars c1, c2 + c2 = 0; + for ( k = 0; k < lda; k += 1 ) { + c1 += A[j * lda + k] * B[k*lda + i]; + c2 += A[(j+2) * lda + k] * B[k*lda + i]; + + //barrier(); + } + + C[i + j * lda] = c1; + C[i + (j+2) * lda] = c2; + barrier(); + } + //barrier(); + } + +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + +// // Execute the provided, naive matmul +// barrier(); +// stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); +// +// +// // verify +// verify(ARRAY_SIZE, results_data, verify_data); +// +// // clear results from the first trial +// size_t i; +// if (coreid == 0) +// for (i=0; i < ARRAY_SIZE; i++) +// results_data[i] = 0; +// barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} diff --git a/mt/as_vvadd/as_vvadd.c b/mt/as_vvadd/as_vvadd.c new file mode 100755 index 0000000..dd1f94b --- /dev/null +++ b/mt/as_vvadd/as_vvadd.c @@ -0,0 +1,174 @@ +//************************************************************************** +// Vector-vector add benchmark +//-------------------------------------------------------------------------- +// Author : Andrew Waterman +// TA : Christopher Celio +// Student : +// +// This benchmark adds two vectors and writes the results to a +// third vector. The input data (and reference data) should be +// generated using the vvadd_gendata.pl perl script and dumped +// to a file named dataset.h + +// to print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DATA_SIZE, 10*_c/DATA_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %4ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %4ld, correct[%d]= %4ld\n", + i, (long) test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// vvadd function + +//perform in-place vvadd +void __attribute__((noinline)) vvadd(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + size_t i; + + // interleave accesses + for (i = coreid; i < n; i+=ncores) + { + x[i] = x[i] + y[i]; + } +} + +void __attribute__((noinline)) vvadd_opt(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + size_t i; + + for (i = coreid; i < n; i += 2*ncores) { + x[i] = x[i] + y[i]; + x[i+2] = x[i+2] + y[i+2]; + //barrier(); + } + barrier(); //adding a barrier so there aren't any OOB errors due to faster threads + +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[DATA_SIZE]; + + // because we're going to perform an in-place vvadd (and we're going to run + // it a couple of times) let's copy the input data to a temporary results + // array + + size_t i; + if (coreid == 0) + { + for (i = 0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + + + // Execute the provided, terrible vvadd + barrier(); + stats(vvadd(DATA_SIZE, results_data, input2_data); barrier()); + + + // verify + verify(DATA_SIZE, results_data, verify_data); + + // reset results from the first trial + if (coreid == 0) + { + for (i=0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + barrier(); + + + // Execute your faster vvadd + barrier(); + stats(vvadd_opt(DATA_SIZE, results_data, input2_data); barrier()); + +#ifdef DEBUG + printArray("results: ", DATA_SIZE, results_data); + printArray("verify : ", DATA_SIZE, verify_data); +#endif + + // verify + verify(DATA_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/as_vvadd/dataset.h b/mt/as_vvadd/dataset.h new file mode 100755 index 0000000..ce9f936 --- /dev/null +++ b/mt/as_vvadd/dataset.h @@ -0,0 +1,165 @@ + +#define DATA_SIZE 1000 + +static data_t input1_data[DATA_SIZE] = +{ + 0.00, 15.00, 10.00, 3.00, 14.00, 6.00, 2.00, 18.00, 11.00, 15.00, 11.00, 0.00, 17.00, 16.00, 7.00, 13.00, 18.00, 2.00, 2.00, 5.00, + 8.00, 5.00, 12.00, 14.00, 6.00, 12.00, 16.00, 7.00, 9.00, 17.00, 10.00, 10.00, 3.00, 5.00, 14.00, 11.00, 9.00, 12.00, 3.00, 1.00, + 5.00, 4.00, 6.00, 17.00, 17.00, 4.00, 17.00, 15.00, 17.00, 18.00, 3.00, 18.00, 10.00, 6.00, 12.00, 12.00, 3.00, 2.00, 16.00, 1.00, + 5.00, 6.00, 2.00, 17.00, 16.00, 5.00, 10.00, 18.00, 14.00, 4.00, 9.00, 9.00, 7.00, 4.00, 8.00, 13.00, 12.00, 6.00, 4.00, 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15.00, 9.00, 19.00, 26.00, 24.00, 19.00, 13.00, 16.00, 12.00, + 25.00, 12.00, 12.00, 24.00, 20.00, 9.00, 22.00, 6.00, 13.00, 11.00, 11.00, 20.00, 11.00, 22.00, 3.00, 17.00, 25.00, 14.00, 25.00, 16.00, + 3.00, 16.00, 23.00, 24.00, 24.00, 29.00, 24.00, 6.00, 12.00, 14.00, 23.00, 29.00, 23.00, 26.00, 14.00, 35.00, 17.00, 20.00, 12.00, 25.00, + 2.00, 29.00, 16.00, 3.00, 17.00, 32.00, 30.00, 5.00, 31.00, 25.00, 24.00, 29.00, 22.00, 26.00, 7.00, 14.00, 6.00, 11.00, 32.00, 1.00, + 18.00, 12.00, 20.00, 16.00, 15.00, 20.00, 19.00, 30.00, 23.00, 11.00, 12.00, 24.00, 13.00, 27.00, 2.00, 3.00, 36.00, 9.00, 13.00, 14.00, + 16.00, 23.00, 23.00, 24.00, 13.00, 22.00, 18.00, 26.00, 24.00, 22.00, 28.00, 23.00, 25.00, 28.00, 7.00, 14.00, 31.00, 15.00, 23.00, 25.00, + 15.00, 20.00, 15.00, 19.00, 8.00, 27.00, 25.00, 19.00, 21.00, 28.00, 11.00, 14.00, 25.00, 24.00, 11.00, 29.00, 19.00, 25.00, 16.00, 33.00, + 18.00, 9.00, 3.00, 13.00, 13.00, 13.00, 21.00, 20.00, 23.00, 7.00, 11.00, 18.00, 25.00, 26.00, 30.00, 12.00, 21.00, 21.00, 27.00, 14.00, + 21.00, 31.00, 3.00, 21.00, 14.00, 20.00, 30.00, 20.00, 21.00, 32.00, 27.00, 24.00, 16.00, 31.00, 5.00, 20.00, 14.00, 17.00, 15.00, 16.00, + 19.00, 13.00, 4.00, 21.00, 20.00, 29.00, 10.00, 22.00, 19.00, 24.00, 29.00, 14.00, 10.00, 15.00, 18.00, 7.00, 28.00, 17.00, 7.00, 2.00, + 1.00, 19.00, 17.00, 23.00, 31.00, 13.00, 20.00, 36.00, 17.00, 27.00, 28.00, 18.00, 20.00, 29.00, 17.00, 23.00, 24.00, 23.00, 26.00, 17.00, + 9.00, 26.00, 16.00, 18.00, 10.00, 28.00, 32.00, 20.00, 19.00, 14.00, 22.00, 23.00, 13.00, 22.00, 14.00, 7.00, 20.00, 10.00, 25.00, 9.00, + 7.00, 2.00, 31.00, 16.00, 16.00, 22.00, 5.00, 15.00, 26.00, 23.00, 10.00, 18.00, 32.00, 24.00, 15.00, 30.00, 16.00, 13.00, 15.00, 7.00, + 11.00, 6.00, 21.00, 14.00, 25.00, 21.00, 11.00, 16.00, 14.00, 26.00, 25.00, 15.00, 22.00, 24.00, 4.00, 19.00, 14.00, 26.00, 22.00, 17.00, + 13.00, 14.00, 7.00, 32.00, 20.00, 33.00, 13.00, 7.00, 29.00, 8.00, 26.00, 6.00, 9.00, 13.00, 22.00, 23.00, 8.00, 22.00, 22.00, 10.00, + 24.00, 2.00, 17.00, 9.00, 22.00, 30.00, 24.00, 33.00, 25.00, 17.00, 23.00, 9.00, 13.00, 15.00, 23.00, 10.00, 1.00, 22.00, 17.00, 10.00, + 32.00, 24.00, 26.00, 4.00, 15.00, 0.00, 27.00, 23.00, 28.00, 23.00, 30.00, 7.00, 16.00, 33.00, 20.00, 14.00, 23.00, 14.00, 20.00, 14.00, + 7.00, 25.00, 24.00, 12.00, 29.00, 16.00, 17.00, 20.00, 29.00, 16.00, 13.00, 18.00, 26.00, 18.00, 18.00, 17.00, 13.00, 29.00, 14.00, 17.00, + 24.00, 16.00, 21.00, 14.00, 26.00, 9.00, 11.00, 28.00, 25.00, 15.00, 15.00, 12.00, 6.00, 14.00, 27.00, 14.00, 24.00, 18.00, 18.00, 14.00, + 32.00, 21.00, 26.00, 13.00, 6.00, 24.00, 22.00, 27.00, 17.00, 26.00, 19.00, 21.00, 19.00, 9.00, 21.00, 25.00, 17.00, 27.00, 15.00, 18.00 +}; + diff --git a/mt/as_vvadd/vvadd_gendata.pl b/mt/as_vvadd/vvadd_gendata.pl new file mode 100755 index 0000000..a9fceac --- /dev/null +++ b/mt/as_vvadd/vvadd_gendata.pl @@ -0,0 +1,139 @@ +#!/usr/bin/perl -w +#========================================================================== +# vvadd_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the vvadd benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: vvadd_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[DATA_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3.2f",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + my @values1; + my @values2; + my @sum; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + my $value1 = int(rand(19)); + my $value2 = int(rand(19)); + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @sum, $value1 + $value2 ); + } + + + print "\n\#define DATA_SIZE ".$opts{"size"}." \n\n"; + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@sum ); + +} + +main(); + diff --git a/mt/at_matmul/at_matmul.c b/mt/at_matmul/at_matmul.c new file mode 100755 index 0000000..d69f8fe --- /dev/null +++ b/mt/at_matmul/at_matmul.c @@ -0,0 +1,317 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ +unsigned long _c = -rdcycle(), _i = -rdinstret(); \ +code; \ +_c += rdcycle(), _i += rdinstret(); \ +if (coreid == 0) \ +printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ +stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ +} while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + { + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + } +} + + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + + int i, j, k; + + /*547287 + for ( i = coreid*lda/ncores; i < (coreid+1)*lda/ncores; i++ ) + { + for ( j = 0; j < lda; j++ ) + { + int aIndex = j*lda; + int cIndex = i + aIndex; + C[cIndex] += A[aIndex] * B[i]; + C[cIndex] += A[aIndex + 1] * B[1*lda + i]; + C[cIndex] += A[aIndex + 2] * B[2*lda + i]; + C[cIndex] += A[aIndex + 3] * B[3*lda + i]; + C[cIndex] += A[aIndex + 4] * B[4*lda + i]; + C[cIndex] += A[aIndex + 5] * B[5*lda + i]; + C[cIndex] += A[aIndex + 6] * B[6*lda + i]; + C[cIndex] += A[aIndex + 7] * B[7*lda + i]; + C[cIndex] += A[aIndex + 8] * B[8*lda + i]; + C[cIndex] += A[aIndex + 9] * B[9*lda + i]; + C[cIndex] += A[aIndex + 10] * B[10*lda + i]; + C[cIndex] += A[aIndex + 11] * B[11*lda + i]; + C[cIndex] += A[aIndex + 12] * B[12*lda + i]; + C[cIndex] += A[aIndex + 13] * B[13*lda + i]; + C[cIndex] += A[aIndex + 14] * B[14*lda + i]; + C[cIndex] += A[aIndex + 15] * B[15*lda + i]; + C[cIndex] += A[aIndex + 16] * B[16*lda + i]; + C[cIndex] += A[aIndex + 17] * B[17*lda + i]; + C[cIndex] += A[aIndex + 18] * B[18*lda + i]; + C[cIndex] += A[aIndex + 19] * B[19*lda + i]; + C[cIndex] += A[aIndex + 20] * B[20*lda + i]; + C[cIndex] += A[aIndex + 21] * B[21*lda + i]; + C[cIndex] += A[aIndex + 22] * B[22*lda + i]; + C[cIndex] += A[aIndex + 23] * B[23*lda + i]; + C[cIndex] += A[aIndex + 24] * B[24*lda + i]; + C[cIndex] += A[aIndex + 25] * B[25*lda + i]; + C[cIndex] += A[aIndex + 26] * B[26*lda + i]; + C[cIndex] += A[aIndex + 27] * B[27*lda + i]; + C[cIndex] += A[aIndex + 28] * B[28*lda + i]; + C[cIndex] += A[aIndex + 29] * B[29*lda + i]; + C[cIndex] += A[aIndex + 30] * B[30*lda + i]; + C[cIndex] += A[aIndex + 31] * B[31*lda + i]; + } + } + */ + + //492827 + /* for ( i = coreid*lda/ncores; i < (coreid+1)*lda/ncores; i++ ) + { + for ( j = 0; j < lda; j++ ) + { + + int aIndex = j*lda; + int cIndex = i + aIndex; + for ( k = 0; k < lda; k++) + { + C[cIndex] += A[aIndex + k] * B[k*lda + i]; + /* C[cIndex] += A[aIndex + k+1] * B[(k+1)*lda + i]; + C[cIndex] += A[aIndex + k+2] * B[(k+2)*lda + i]; + C[cIndex] += A[aIndex + k+3] * B[(k+3)*lda + i]; + C[cIndex] += A[aIndex + k+4] * B[(k+4)*lda + i]; + C[cIndex] += A[aIndex + k+5] * B[(k+5)*lda + i]; + C[cIndex] += A[aIndex + k+6] * B[(k+6)*lda + i]; + C[cIndex] += A[aIndex + k+7] * B[(k+7)*lda + i]; + C[cIndex] += A[aIndex + k+8] * B[(k+8)*lda + i]; + C[cIndex] += A[aIndex + k+9] * B[(k+9)*lda + i]; + C[cIndex] += A[aIndex + k+10] * B[(k+10)*lda + i]; + C[cIndex] += A[aIndex + k+11] * B[(k+11)*lda + i]; + C[cIndex] += A[aIndex + k+12] * B[(k+12)*lda + i]; + C[cIndex] += A[aIndex + k+13] * B[(k+13)*lda + i]; + C[cIndex] += A[aIndex + k+14] * B[(k+14)*lda + i]; + C[cIndex] += A[aIndex + k+15] * B[(k+15)*lda + i];*/ + /* } + } + }*/ + /* + //326378 + data_t bTrans[1024]; + + for (int counti = 0; counti < 32; counti++) { + for (int countj = 0; countj < 32; countj++) { + *(bTrans + counti + countj*lda) = *(B + countj + counti*lda); + } + } + + + int BLOCKSIZE = 8; + for ( i = 0; i < lda; i+=BLOCKSIZE ) + { + for ( int iTemp = i; iTemp < i + BLOCKSIZE; iTemp++ ) { + int iFlag = iTemp*lda; + for ( j = coreid*lda/ncores; j < (coreid+1)*lda/ncores; j++ ) { + int jFlag = j*lda; + int cLoc = jFlag+iTemp; + for ( k = 0; k < lda; k+=8) { + *(C+cLoc) += *(A+jFlag+k) * *(bTrans+iFlag+k); + *(C+cLoc) += *(A+jFlag+k+1) * *(bTrans+iFlag+k+1); + *(C+cLoc) += *(A+jFlag+k+2) * *(bTrans+iFlag+k+2); + *(C+cLoc) += *(A+jFlag+k+3) * *(bTrans+iFlag+k+3); + *(C+cLoc) += *(A+jFlag+k+4) * *(bTrans+iFlag+k+4); + *(C+cLoc) += *(A+jFlag+k+5) * *(bTrans+iFlag+k+5); + *(C+cLoc) += *(A+jFlag+k+6) * *(bTrans+iFlag+k+6); + *(C+cLoc) += *(A+jFlag+k+7) * *(bTrans+iFlag+k+7); + } + } + } + }*/ + data_t bTrans[1024]; + + for (int counti = 0; counti < 32; counti++) { + for (int countj = 0; countj < 32; countj++) { + *(bTrans + counti + countj*lda) = *(B + countj + counti*lda); + } + } + + + int BLOCKSIZE = 8; + for ( j = 0; j < lda; j++ ) + { + //for ( int jTemp = j; jTemp < j + BLOCKSIZE; jTemp++ ) { + int jFlag = j*lda; + for ( i = coreid*lda/ncores; i < (coreid+1)*lda/ncores; i+=BLOCKSIZE ) { + for ( int iTemp = i; iTemp < i + BLOCKSIZE; iTemp++ ) { + + int iFlag = iTemp*lda; + int cLoc = jFlag+iTemp; + for ( k = 0; k < lda; k+=16) { + *(C+cLoc) += *(A+jFlag+k) * *(bTrans+iFlag+k); + *(C+cLoc) += *(A+jFlag+k+1) * *(bTrans+iFlag+k+1); + *(C+cLoc) += *(A+jFlag+k+2) * *(bTrans+iFlag+k+2); + *(C+cLoc) += *(A+jFlag+k+3) * *(bTrans+iFlag+k+3); + *(C+cLoc) += *(A+jFlag+k+4) * *(bTrans+iFlag+k+4); + *(C+cLoc) += *(A+jFlag+k+5) * *(bTrans+iFlag+k+5); + *(C+cLoc) += *(A+jFlag+k+6) * *(bTrans+iFlag+k+6); + *(C+cLoc) += *(A+jFlag+k+7) * *(bTrans+iFlag+k+7); + *(C+cLoc) += *(A+jFlag+k+8) * *(bTrans+iFlag+k+8); + *(C+cLoc) += *(A+jFlag+k+9) * *(bTrans+iFlag+k+9); + *(C+cLoc) += *(A+jFlag+k+10) * *(bTrans+iFlag+k+10); + *(C+cLoc) += *(A+jFlag+k+11) * *(bTrans+iFlag+k+11); + *(C+cLoc) += *(A+jFlag+k+12) * *(bTrans+iFlag+k+12); + *(C+cLoc) += *(A+jFlag+k+13) * *(bTrans+iFlag+k+13); + *(C+cLoc) += *(A+jFlag+k+14) * *(bTrans+iFlag+k+14); + *(C+cLoc) += *(A+jFlag+k+15) * *(bTrans+iFlag+k+15); + } + } + } + //} + } + + +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + +// // Execute the provided, naive matmul +// barrier(); +// stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); +// +// +// // verify +// verify(ARRAY_SIZE, results_data, verify_data); +// +// // clear results from the first trial +// size_t i; +// if (coreid == 0) +// for (i=0; i < ARRAY_SIZE; i++) +// results_data[i] = 0; +// barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/at_matmul/dataset.h b/mt/at_matmul/dataset.h new file mode 100755 index 0000000..dde3ee4 --- /dev/null +++ b/mt/at_matmul/dataset.h @@ -0,0 +1,174 @@ + +#define ARRAY_SIZE 1024 + + +#define DIM_SIZE 32 + +static data_t input1_data[ARRAY_SIZE] = +{ + 0, 3, 2, 0, 3, 1, 0, 3, 2, 3, 2, 0, 3, 3, 1, 2, 3, 0, 0, 1, + 1, 1, 2, 3, 1, 2, 3, 1, 1, 3, 2, 2, 0, 1, 3, 2, 2, 2, 0, 0, + 1, 0, 1, 3, 3, 0, 3, 3, 3, 3, 0, 3, 2, 1, 2, 2, 0, 0, 3, 0, + 1, 1, 0, 3, 3, 1, 2, 3, 3, 0, 1, 2, 1, 0, 1, 2, 2, 1, 0, 3, + 1, 0, 2, 2, 1, 1, 1, 1, 1, 1, 2, 0, 3, 1, 1, 2, 2, 3, 3, 1, + 3, 2, 0, 0, 0, 3, 3, 3, 2, 1, 2, 3, 1, 0, 0, 0, 0, 1, 2, 2, + 1, 1, 3, 3, 3, 1, 1, 2, 3, 1, 3, 3, 2, 3, 2, 1, 2, 3, 0, 2, + 2, 1, 1, 0, 0, 0, 0, 0, 1, 3, 3, 1, 1, 1, 2, 2, 3, 2, 1, 1, + 1, 1, 3, 0, 2, 2, 1, 3, 2, 1, 2, 2, 1, 3, 1, 3, 1, 3, 2, 3, + 1, 2, 1, 3, 2, 2, 0, 1, 0, 0, 1, 2, 3, 3, 1, 0, 0, 0, 3, 1, + 2, 3, 2, 3, 2, 0, 0, 0, 0, 0, 3, 1, 3, 0, 0, 0, 3, 1, 1, 1, + 1, 2, 1, 2, 3, 2, 0, 0, 2, 2, 3, 0, 3, 0, 0, 3, 0, 3, 1, 3, + 3, 1, 1, 1, 2, 2, 1, 3, 0, 3, 3, 1, 0, 0, 3, 2, 1, 3, 3, 3, + 1, 0, 1, 1, 2, 1, 0, 1, 1, 2, 2, 3, 1, 2, 2, 2, 0, 1, 3, 3, + 3, 2, 2, 1, 0, 1, 2, 0, 1, 1, 1, 1, 2, 3, 2, 2, 3, 3, 0, 0, + 2, 0, 0, 0, 3, 0, 1, 0, 3, 0, 0, 0, 3, 0, 0, 2, 0, 2, 0, 0, + 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 0, 2, 0, 0, 3, 3, 2, 3, 3, 0, + 1, 0, 2, 2, 0, 3, 3, 1, 1, 0, 2, 3, 2, 1, 1, 0, 1, 2, 1, 2, + 2, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 3, 3, 2, 0, 0, 1, 3, 0, 3, + 3, 0, 0, 0, 0, 3, 3, 1, 0, 0, 3, 3, 2, 1, 2, 1, 3, 3, 0, 1, + 3, 0, 2, 3, 1, 3, 3, 3, 3, 3, 0, 1, 1, 3, 0, 2, 2, 3, 1, 2, + 2, 2, 1, 3, 3, 0, 3, 0, 0, 2, 0, 2, 3, 0, 1, 3, 2, 2, 0, 0, + 2, 3, 0, 2, 2, 2, 3, 1, 0, 3, 3, 3, 3, 1, 0, 3, 3, 2, 0, 3, + 2, 0, 3, 0, 2, 0, 0, 2, 2, 1, 0, 2, 3, 1, 1, 1, 1, 2, 3, 3, + 3, 0, 0, 3, 3, 3, 2, 3, 3, 1, 2, 2, 3, 1, 2, 1, 1, 3, 0, 1, + 2, 0, 2, 0, 0, 1, 3, 2, 0, 1, 3, 2, 3, 3, 0, 0, 0, 1, 0, 3, + 3, 2, 2, 2, 1, 1, 2, 2, 1, 3, 2, 0, 1, 3, 2, 0, 2, 1, 3, 0, + 0, 0, 1, 3, 3, 2, 2, 2, 3, 1, 0, 0, 1, 1, 2, 1, 3, 1, 1, 2, + 2, 3, 2, 3, 0, 2, 3, 3, 0, 3, 0, 0, 1, 0, 0, 0, 1, 3, 1, 1, + 2, 3, 2, 1, 1, 2, 2, 2, 3, 0, 1, 1, 2, 1, 2, 0, 2, 3, 1, 3, + 0, 1, 1, 3, 0, 2, 3, 0, 1, 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 2, + 3, 0, 1, 1, 1, 1, 2, 0, 1, 2, 0, 1, 1, 1, 0, 1, 3, 2, 3, 1, + 0, 2, 1, 2, 1, 3, 3, 1, 0, 2, 2, 3, 1, 3, 1, 3, 0, 1, 0, 3, + 0, 3, 2, 0, 3, 3, 3, 0, 3, 2, 2, 2, 1, 3, 0, 0, 1, 1, 3, 0, + 1, 2, 1, 0, 0, 0, 3, 2, 2, 0, 0, 2, 1, 3, 0, 0, 3, 0, 0, 2, + 1, 1, 2, 2, 1, 3, 2, 2, 1, 1, 2, 1, 3, 2, 1, 1, 3, 0, 1, 3, + 3, 2, 2, 1, 0, 3, 2, 2, 2, 3, 0, 1, 3, 3, 2, 3, 0, 3, 2, 3, + 1, 1, 0, 0, 0, 2, 3, 0, 3, 0, 1, 1, 3, 1, 3, 2, 1, 1, 2, 1, + 3, 2, 0, 2, 1, 0, 2, 3, 2, 3, 2, 1, 2, 3, 0, 0, 1, 1, 0, 0, + 2, 1, 0, 1, 2, 2, 2, 2, 0, 3, 3, 1, 0, 0, 0, 0, 3, 1, 1, 0, + 0, 0, 0, 1, 2, 2, 1, 3, 0, 2, 3, 2, 3, 2, 2, 1, 2, 2, 3, 3, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 2, 2, 3, 1, 1, 1, 0, 0, 0, 3, 0, + 1, 0, 3, 1, 1, 3, 0, 1, 2, 2, 0, 0, 3, 3, 3, 3, 2, 1, 0, 0, + 1, 0, 2, 0, 1, 1, 0, 0, 3, 3, 2, 1, 1, 1, 0, 1, 1, 2, 2, 1, + 1, 2, 0, 3, 1, 3, 1, 0, 3, 0, 3, 1, 1, 1, 0, 2, 0, 3, 1, 0, + 1, 0, 2, 0, 2, 3, 3, 3, 1, 2, 3, 2, 2, 0, 1, 1, 0, 3, 3, 1, + 3, 3, 2, 0, 2, 0, 2, 2, 3, 3, 3, 0, 2, 3, 3, 1, 3, 2, 2, 2, + 0, 2, 3, 0, 2, 0, 3, 2, 2, 1, 1, 0, 2, 2, 2, 0, 2, 2, 0, 1, + 3, 2, 1, 3, 2, 2, 0, 3, 3, 1, 2, 2, 0, 0, 3, 2, 1, 2, 2, 1, + 3, 1, 2, 0, 0, 1, 1, 2, 1, 3, 2, 2, 3, 0, 2, 1, 3, 2, 1, 3, + 2, 3, 3, 1, 2, 1, 2, 2, 0, 0, 0, 3, 0, 2, 3, 1, 0, 0, 2, 3, + 3, 2, 2, 1 +}; + +static data_t input2_data[ARRAY_SIZE] = +{ + 1, 1, 0, 3, 1, 2, 0, 0, 0, 0, 0, 2, 1, 2, 3, 0, 0, 3, 3, 2, + 2, 1, 2, 3, 3, 0, 2, 2, 1, 1, 2, 2, 0, 2, 2, 1, 2, 3, 2, 2, + 3, 3, 2, 2, 1, 1, 1, 1, 2, 1, 2, 2, 3, 3, 3, 0, 0, 3, 2, 3, + 2, 3, 1, 2, 1, 1, 2, 2, 0, 1, 0, 3, 2, 1, 1, 1, 2, 0, 1, 2, + 2, 0, 2, 1, 3, 3, 2, 3, 2, 0, 3, 1, 3, 3, 2, 0, 1, 0, 1, 1, + 2, 2, 1, 1, 2, 2, 1, 2, 3, 3, 1, 3, 2, 2, 2, 3, 3, 1, 0, 2, + 1, 0, 0, 0, 1, 1, 2, 0, 3, 2, 3, 3, 0, 2, 3, 1, 0, 0, 2, 1, + 2, 0, 2, 1, 1, 2, 3, 1, 3, 2, 1, 0, 0, 0, 0, 0, 2, 2, 0, 2, + 1, 2, 0, 3, 2, 2, 0, 0, 3, 2, 1, 1, 3, 0, 2, 0, 0, 1, 0, 2, + 3, 3, 1, 3, 3, 0, 0, 2, 2, 0, 0, 0, 1, 0, 0, 1, 3, 0, 2, 1, + 3, 2, 2, 1, 3, 2, 0, 1, 2, 2, 3, 2, 1, 1, 1, 1, 3, 0, 1, 3, + 2, 2, 3, 1, 1, 2, 0, 2, 1, 1, 2, 3, 1, 0, 1, 0, 1, 1, 0, 0, + 2, 0, 3, 0, 3, 0, 3, 2, 2, 3, 3, 2, 1, 0, 2, 2, 1, 1, 0, 3, + 3, 2, 2, 0, 0, 3, 0, 1, 0, 0, 1, 2, 0, 1, 3, 0, 1, 2, 2, 0, + 0, 3, 0, 3, 0, 1, 1, 2, 0, 0, 0, 3, 0, 0, 2, 1, 1, 1, 0, 2, + 1, 3, 1, 2, 0, 3, 0, 3, 1, 3, 0, 0, 2, 2, 2, 2, 3, 3, 2, 1, + 2, 2, 1, 1, 2, 2, 2, 2, 0, 3, 0, 0, 2, 0, 1, 2, 0, 3, 2, 3, + 2, 0, 2, 1, 2, 1, 0, 2, 1, 1, 3, 2, 2, 3, 1, 0, 3, 3, 1, 0, + 3, 2, 2, 0, 0, 3, 0, 0, 2, 0, 3, 2, 3, 1, 1, 0, 0, 2, 3, 0, + 0, 1, 1, 1, 2, 1, 3, 2, 1, 3, 0, 1, 3, 3, 1, 1, 1, 1, 1, 1, + 0, 0, 2, 3, 2, 2, 2, 3, 2, 3, 1, 2, 3, 2, 2, 2, 0, 1, 3, 0, + 1, 1, 0, 1, 0, 1, 1, 3, 3, 1, 2, 2, 3, 2, 0, 2, 2, 0, 1, 3, + 0, 1, 3, 2, 1, 3, 3, 2, 0, 1, 3, 2, 0, 2, 1, 1, 0, 3, 0, 1, + 1, 1, 1, 1, 3, 0, 0, 1, 0, 2, 3, 1, 3, 0, 2, 1, 3, 0, 3, 0, + 3, 2, 2, 0, 0, 2, 1, 3, 3, 2, 3, 2, 2, 1, 2, 2, 3, 0, 3, 2, + 2, 0, 3, 2, 3, 2, 0, 0, 1, 2, 0, 0, 2, 0, 0, 3, 3, 2, 0, 0, + 3, 3, 0, 2, 3, 1, 0, 1, 0, 2, 1, 0, 2, 1, 0, 1, 0, 3, 0, 2, + 2, 3, 0, 0, 2, 1, 0, 1, 0, 0, 0, 2, 2, 3, 2, 0, 3, 3, 2, 1, + 0, 0, 3, 1, 2, 3, 3, 1, 0, 3, 1, 1, 0, 3, 3, 3, 2, 2, 2, 0, + 1, 2, 0, 3, 0, 1, 0, 1, 1, 0, 1, 2, 0, 3, 2, 0, 1, 2, 2, 0, + 2, 0, 0, 1, 0, 3, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 1, 1, 1, 0, + 2, 1, 1, 3, 2, 0, 2, 1, 1, 0, 2, 2, 1, 3, 0, 2, 1, 0, 1, 2, + 0, 1, 3, 2, 3, 2, 1, 0, 2, 0, 2, 2, 3, 1, 1, 3, 2, 3, 2, 2, + 0, 2, 0, 0, 0, 3, 2, 0, 2, 2, 3, 3, 3, 2, 1, 2, 0, 0, 3, 0, + 2, 0, 3, 2, 2, 3, 0, 3, 2, 1, 2, 2, 1, 2, 0, 0, 3, 1, 2, 0, + 2, 3, 2, 2, 1, 1, 1, 3, 3, 3, 3, 3, 1, 3, 0, 1, 3, 2, 2, 1, + 0, 1, 1, 2, 1, 2, 3, 1, 2, 2, 1, 2, 1, 1, 0, 3, 3, 1, 1, 3, + 2, 0, 0, 1, 2, 0, 1, 3, 1, 0, 0, 2, 2, 3, 3, 0, 2, 3, 2, 1, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 3, 3, 3, 1, 3, 0, 3, 1, 1, 2, 2, + 2, 1, 0, 3, 2, 3, 0, 2, 3, 2, 3, 1, 2, 3, 3, 1, 2, 1, 0, 0, + 0, 3, 3, 3, 3, 0, 3, 3, 3, 3, 2, 1, 0, 3, 0, 3, 2, 3, 1, 0, + 0, 1, 3, 1, 0, 2, 2, 3, 1, 0, 2, 1, 1, 3, 1, 1, 3, 1, 2, 1, + 0, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 3, 3, 1, 0, 3, 1, 1, 2, 0, + 0, 0, 2, 3, 3, 2, 2, 3, 0, 2, 3, 1, 3, 3, 0, 2, 1, 2, 2, 2, + 1, 0, 1, 3, 2, 3, 1, 1, 2, 1, 1, 0, 0, 2, 3, 2, 1, 0, 3, 1, + 3, 0, 1, 1, 2, 2, 1, 3, 3, 1, 1, 0, 0, 3, 3, 0, 0, 0, 0, 0, + 3, 1, 3, 0, 0, 0, 3, 3, 2, 1, 3, 0, 1, 3, 1, 1, 1, 0, 1, 0, + 1, 2, 2, 2, 3, 3, 0, 2, 3, 2, 1, 3, 3, 1, 1, 3, 0, 3, 3, 2, + 1, 1, 2, 0, 3, 0, 1, 2, 1, 1, 0, 0, 1, 2, 2, 0, 3, 1, 1, 1, + 3, 3, 3, 1, 0, 3, 3, 2, 2, 2, 1, 2, 0, 1, 1, 3, 0, 3, 1, 0, + 2, 2, 0, 1, 2, 3, 2, 1, 2, 0, 3, 2, 1, 3, 0, 1, 2, 0, 3, 0, + 1, 1, 2, 1 +}; + +static data_t verify_data[ARRAY_SIZE] = +{ + 72, 75, 88, 101, 80, 88, 73, 75, 80, 81, 58, 75, 86, 65, 60, 80, 84, 83, 87, 83, + 108, 93, 85, 76, 72, 98, 79, 86, 80, 96, 91, 85, 72, 64, 70, 83, 68, 92, 51, 54, + 85, 85, 60, 58, 90, 64, 55, 69, 72, 48, 94, 77, 91, 83, 70, 69, 67, 77, 59, 50, + 67, 74, 77, 67, 67, 62, 72, 71, 68, 79, 54, 61, 67, 61, 55, 62, 78, 60, 53, 64, + 67, 69, 99, 68, 88, 60, 66, 63, 70, 62, 65, 50, 53, 66, 70, 72, 75, 78, 85, 95, + 71, 89, 70, 68, 86, 88, 58, 77, 84, 70, 65, 68, 73, 75, 91, 96, 105, 92, 76, 68, + 86, 69, 80, 59, 73, 83, 88, 75, 64, 63, 71, 99, 77, 77, 69, 55, 80, 73, 54, 73, + 87, 78, 60, 69, 65, 78, 86, 89, 95, 92, 63, 69, 89, 61, 80, 65, 70, 77, 89, 77, + 79, 79, 73, 92, 64, 81, 60, 78, 81, 80, 61, 63, 89, 65, 56, 83, 77, 65, 102, 70, + 98, 86, 96, 68, 72, 89, 73, 73, 70, 89, 84, 76, 48, 61, 63, 70, 70, 79, 50, 53, + 64, 63, 43, 51, 59, 62, 43, 63, 55, 77, 79, 74, 75, 74, 64, 44, 65, 69, 72, 66, + 54, 71, 74, 72, 69, 76, 68, 89, 94, 75, 65, 53, 85, 79, 65, 74, 82, 73, 58, 70, + 84, 77, 99, 72, 92, 84, 78, 62, 59, 83, 71, 74, 63, 85, 80, 78, 71, 72, 79, 83, + 73, 82, 60, 85, 76, 82, 60, 70, 82, 68, 54, 85, 84, 70, 86, 74, 100, 88, 98, 68, + 67, 87, 69, 73, 68, 88, 76, 71, 47, 43, 47, 80, 54, 65, 40, 37, 59, 53, 33, 48, + 62, 40, 36, 55, 36, 62, 53, 57, 70, 69, 45, 43, 53, 61, 42, 57, 56, 63, 51, 47, + 59, 75, 64, 89, 83, 75, 59, 75, 91, 92, 58, 64, 83, 74, 58, 60, 76, 66, 97, 69, + 90, 95, 92, 64, 78, 75, 77, 73, 65, 78, 82, 75, 47, 54, 59, 71, 59, 56, 53, 42, + 60, 55, 40, 51, 60, 46, 36, 59, 46, 57, 67, 43, 51, 53, 53, 38, 54, 56, 55, 48, + 41, 46, 63, 63, 80, 77, 89, 102, 89, 98, 74, 86, 98, 93, 63, 76, 98, 77, 48, 101, + 86, 88, 100, 82, 102, 90, 95, 75, 86, 103, 83, 98, 80, 104, 98, 86, 71, 74, 80, 90, + 86, 87, 73, 70, 81, 83, 55, 66, 90, 66, 58, 84, 77, 84, 93, 72, 99, 75, 85, 65, + 70, 89, 71, 82, 64, 79, 82, 80, 67, 73, 86, 101, 78, 97, 66, 64, 84, 80, 55, 64, + 79, 73, 51, 79, 89, 68, 94, 77, 109, 102, 82, 61, 66, 93, 88, 70, 82, 82, 85, 69, + 69, 72, 66, 97, 85, 90, 70, 59, 76, 89, 53, 56, 90, 79, 71, 64, 70, 67, 100, 92, + 106, 89, 83, 78, 73, 80, 70, 72, 65, 70, 92, 88, 57, 76, 55, 85, 66, 80, 61, 63, + 63, 78, 54, 58, 71, 73, 54, 63, 63, 62, 89, 76, 86, 81, 83, 54, 70, 81, 78, 64, + 56, 72, 74, 81, 75, 63, 68, 89, 65, 77, 58, 68, 75, 83, 52, 62, 82, 63, 55, 75, + 51, 70, 95, 66, 83, 77, 86, 61, 64, 77, 48, 70, 66, 82, 72, 75, 79, 71, 72, 89, + 78, 78, 66, 59, 91, 80, 55, 64, 79, 68, 54, 71, 67, 75, 87, 84, 100, 101, 76, 58, + 74, 82, 61, 74, 75, 97, 85, 79, 61, 55, 69, 68, 72, 65, 52, 64, 80, 73, 48, 54, + 71, 66, 42, 61, 66, 63, 92, 64, 85, 77, 73, 54, 74, 73, 76, 66, 62, 79, 85, 70, + 71, 84, 87, 81, 88, 86, 77, 77, 93, 88, 78, 71, 101, 89, 58, 84, 95, 81, 89, 97, + 104, 79, 83, 76, 90, 81, 91, 74, 70, 76, 91, 80, 51, 48, 56, 69, 47, 63, 54, 42, + 63, 63, 42, 52, 66, 56, 39, 59, 61, 52, 59, 63, 62, 68, 57, 35, 67, 58, 56, 52, + 61, 63, 60, 47, 85, 75, 89, 106, 88, 95, 74, 82, 107, 107, 64, 78, 98, 90, 62, 91, + 79, 87, 111, 84, 104, 106, 96, 68, 94, 99, 81, 89, 79, 105, 95, 86, 65, 63, 77, 89, + 66, 88, 56, 73, 82, 92, 41, 62, 85, 66, 50, 81, 57, 71, 77, 78, 86, 89, 77, 53, + 67, 78, 61, 63, 72, 82, 69, 66, 59, 46, 55, 70, 56, 64, 45, 50, 65, 64, 42, 56, + 78, 49, 51, 52, 38, 56, 72, 55, 73, 72, 61, 50, 63, 60, 47, 57, 55, 73, 53, 68, + 85, 88, 91, 96, 82, 89, 73, 76, 87, 86, 67, 69, 96, 84, 57, 89, 87, 89, 99, 88, + 104, 90, 85, 75, 88, 92, 85, 75, 74, 87, 103, 94, 55, 48, 56, 65, 72, 50, 45, 51, + 63, 62, 47, 57, 79, 53, 36, 63, 54, 68, 71, 59, 63, 61, 63, 41, 50, 73, 57, 59, + 56, 76, 73, 65, 61, 64, 61, 79, 53, 73, 57, 44, 61, 59, 59, 56, 81, 59, 49, 62, + 65, 55, 69, 72, 79, 70, 58, 57, 68, 61, 62, 50, 57, 60, 66, 66, 63, 77, 81, 89, + 85, 81, 76, 73, 78, 95, 59, 70, 81, 77, 46, 79, 78, 79, 83, 81, 84, 82, 85, 48, + 74, 85, 85, 74, 74, 80, 80, 74, 60, 76, 80, 97, 88, 93, 66, 66, 73, 84, 56, 70, + 90, 63, 58, 78, 73, 93, 90, 78, 94, 88, 82, 67, 85, 70, 81, 86, 74, 82, 88, 82, + 68, 73, 75, 91, 78, 97, 71, 66, 74, 85, 50, 59, 86, 77, 70, 74, 75, 74, 99, 82, + 99, 91, 86, 65, 80, 77, 72, 69, 60, 78, 90, 87, 79, 69, 74, 98, 70, 86, 81, 67, + 69, 78, 48, 65, 88, 70, 70, 70, 69, 72, 96, 90, 99, 82, 81, 76, 98, 73, 74, 71, + 69, 73, 94, 89 +}; + diff --git a/mt/at_matmul/matmul_gendata.pl b/mt/at_matmul/matmul_gendata.pl new file mode 100755 index 0000000..f21bb46 --- /dev/null +++ b/mt/at_matmul/matmul_gendata.pl @@ -0,0 +1,200 @@ +#!/usr/bin/perl -w +#========================================================================== +# matmul_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the matmul benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: matmul_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[ARRAY_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3d",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + + + +#-------------------------------------------------------------------------- +# Matmul +#-------------------------------------------------------------------------- + +# http://answers.oreilly.com/topic/418-how-to-multiply-matrices-in-perl/ + +sub mmult { + my ($m1,$m2) = @_; + my ($m1rows,$m1cols) = matdim($m1); + my ($m2rows,$m2cols) = matdim($m2); + + my $result = [ ]; + my ($i, $j, $k); + + for $i (range($m1rows)) { + for $j (range($m2cols)) { + for $k (range($m1cols)) { + $result->[$i][$j] += $m1->[$i][$k] * $m2->[$k][$j]; + } + } + } + return $result; +} + +sub range { 0 .. ($_[0] - 1) } + + +sub veclen { + my $ary_ref = $_[0]; + my $type = ref $ary_ref; + if ($type ne "ARRAY") { die "$type is bad array ref for $ary_ref" } + return scalar(@$ary_ref); +} + +sub matdim { + my $matrix = $_[0]; + my $rows = veclen($matrix); + my $cols = veclen($matrix->[0]); + return ($rows, $cols); +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + # create random input arrays + my $mat_values1; + my $mat_values2; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + $mat_values1->[$i][$j] = int(rand(4)); + $mat_values2->[$i][$j] = int(rand(4)); + } + } + + # perform matmul + my $mat_results = mmult( $mat_values1, $mat_values2 ); + + # translate 2d arrays to 1d-somethings (I don't know how to code in perl - Chris) + my @values1; + my @values2; + my @results; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + my $value1 = $mat_values1->[$i][$j]; + my $value2 = $mat_values2->[$i][$j]; + my $result = $mat_results->[$i][$j]; + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @results, $result ); + } + } + + print "\n\#define ARRAY_SIZE ".($opts{"size"}*$opts{"size"})." \n\n"; + print "\n\#define DIM_SIZE ".$opts{"size"}." \n\n"; + + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@results); + +} + +main(); + diff --git a/mt/at_matmul/matmul_mi.c b/mt/at_matmul/matmul_mi.c new file mode 100644 index 0000000..0c5115f --- /dev/null +++ b/mt/at_matmul/matmul_mi.c @@ -0,0 +1,317 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: Anirudh Garg +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ +unsigned long _c = -rdcycle(), _i = -rdinstret(); \ +code; \ +_c += rdcycle(), _i += rdinstret(); \ +if (coreid == 0) \ +printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ +stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ +} while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + { + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + } +} + + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + + int i, j, k; + + /*547287 + for ( i = coreid*lda/ncores; i < (coreid+1)*lda/ncores; i++ ) + { + for ( j = 0; j < lda; j++ ) + { + int aIndex = j*lda; + int cIndex = i + aIndex; + C[cIndex] += A[aIndex] * B[i]; + C[cIndex] += A[aIndex + 1] * B[1*lda + i]; + C[cIndex] += A[aIndex + 2] * B[2*lda + i]; + C[cIndex] += A[aIndex + 3] * B[3*lda + i]; + C[cIndex] += A[aIndex + 4] * B[4*lda + i]; + C[cIndex] += A[aIndex + 5] * B[5*lda + i]; + C[cIndex] += A[aIndex + 6] * B[6*lda + i]; + C[cIndex] += A[aIndex + 7] * B[7*lda + i]; + C[cIndex] += A[aIndex + 8] * B[8*lda + i]; + C[cIndex] += A[aIndex + 9] * B[9*lda + i]; + C[cIndex] += A[aIndex + 10] * B[10*lda + i]; + C[cIndex] += A[aIndex + 11] * B[11*lda + i]; + C[cIndex] += A[aIndex + 12] * B[12*lda + i]; + C[cIndex] += A[aIndex + 13] * B[13*lda + i]; + C[cIndex] += A[aIndex + 14] * B[14*lda + i]; + C[cIndex] += A[aIndex + 15] * B[15*lda + i]; + C[cIndex] += A[aIndex + 16] * B[16*lda + i]; + C[cIndex] += A[aIndex + 17] * B[17*lda + i]; + C[cIndex] += A[aIndex + 18] * B[18*lda + i]; + C[cIndex] += A[aIndex + 19] * B[19*lda + i]; + C[cIndex] += A[aIndex + 20] * B[20*lda + i]; + C[cIndex] += A[aIndex + 21] * B[21*lda + i]; + C[cIndex] += A[aIndex + 22] * B[22*lda + i]; + C[cIndex] += A[aIndex + 23] * B[23*lda + i]; + C[cIndex] += A[aIndex + 24] * B[24*lda + i]; + C[cIndex] += A[aIndex + 25] * B[25*lda + i]; + C[cIndex] += A[aIndex + 26] * B[26*lda + i]; + C[cIndex] += A[aIndex + 27] * B[27*lda + i]; + C[cIndex] += A[aIndex + 28] * B[28*lda + i]; + C[cIndex] += A[aIndex + 29] * B[29*lda + i]; + C[cIndex] += A[aIndex + 30] * B[30*lda + i]; + C[cIndex] += A[aIndex + 31] * B[31*lda + i]; + } + } + */ + + //492827 + /* for ( i = coreid*lda/ncores; i < (coreid+1)*lda/ncores; i++ ) + { + for ( j = 0; j < lda; j++ ) + { + + int aIndex = j*lda; + int cIndex = i + aIndex; + for ( k = 0; k < lda; k++) + { + C[cIndex] += A[aIndex + k] * B[k*lda + i]; + /* C[cIndex] += A[aIndex + k+1] * B[(k+1)*lda + i]; + C[cIndex] += A[aIndex + k+2] * B[(k+2)*lda + i]; + C[cIndex] += A[aIndex + k+3] * B[(k+3)*lda + i]; + C[cIndex] += A[aIndex + k+4] * B[(k+4)*lda + i]; + C[cIndex] += A[aIndex + k+5] * B[(k+5)*lda + i]; + C[cIndex] += A[aIndex + k+6] * B[(k+6)*lda + i]; + C[cIndex] += A[aIndex + k+7] * B[(k+7)*lda + i]; + C[cIndex] += A[aIndex + k+8] * B[(k+8)*lda + i]; + C[cIndex] += A[aIndex + k+9] * B[(k+9)*lda + i]; + C[cIndex] += A[aIndex + k+10] * B[(k+10)*lda + i]; + C[cIndex] += A[aIndex + k+11] * B[(k+11)*lda + i]; + C[cIndex] += A[aIndex + k+12] * B[(k+12)*lda + i]; + C[cIndex] += A[aIndex + k+13] * B[(k+13)*lda + i]; + C[cIndex] += A[aIndex + k+14] * B[(k+14)*lda + i]; + C[cIndex] += A[aIndex + k+15] * B[(k+15)*lda + i];*/ + /* } + } + }*/ + /* + //326378 + data_t bTrans[1024]; + + for (int counti = 0; counti < 32; counti++) { + for (int countj = 0; countj < 32; countj++) { + *(bTrans + counti + countj*lda) = *(B + countj + counti*lda); + } + } + + + int BLOCKSIZE = 8; + for ( i = 0; i < lda; i+=BLOCKSIZE ) + { + for ( int iTemp = i; iTemp < i + BLOCKSIZE; iTemp++ ) { + int iFlag = iTemp*lda; + for ( j = coreid*lda/ncores; j < (coreid+1)*lda/ncores; j++ ) { + int jFlag = j*lda; + int cLoc = jFlag+iTemp; + for ( k = 0; k < lda; k+=8) { + *(C+cLoc) += *(A+jFlag+k) * *(bTrans+iFlag+k); + *(C+cLoc) += *(A+jFlag+k+1) * *(bTrans+iFlag+k+1); + *(C+cLoc) += *(A+jFlag+k+2) * *(bTrans+iFlag+k+2); + *(C+cLoc) += *(A+jFlag+k+3) * *(bTrans+iFlag+k+3); + *(C+cLoc) += *(A+jFlag+k+4) * *(bTrans+iFlag+k+4); + *(C+cLoc) += *(A+jFlag+k+5) * *(bTrans+iFlag+k+5); + *(C+cLoc) += *(A+jFlag+k+6) * *(bTrans+iFlag+k+6); + *(C+cLoc) += *(A+jFlag+k+7) * *(bTrans+iFlag+k+7); + } + } + } + }*/ + data_t bTrans[1024]; + + for (int counti = coreid*32/ncores; counti < (coreid+1)*lda/ncores; counti++) { + for (int countj = 0; countj < 32; countj++) { + *(bTrans + counti + countj*lda) = *(B + countj + counti*lda); + } + } + + + int BLOCKSIZE = 8; + for ( j = 0; j < lda; j++ ) + { + //for ( int jTemp = j; jTemp < j + BLOCKSIZE; jTemp++ ) { + int jFlag = j*lda; + for ( i = coreid*lda/ncores; i < (coreid+1)*lda/ncores; i+=BLOCKSIZE ) { + for ( int iTemp = i; iTemp < i + BLOCKSIZE; iTemp++ ) { + + int iFlag = iTemp*lda; + int cLoc = jFlag+iTemp; + for ( k = 0; k < lda; k+=16) { + *(C+cLoc) += *(A+jFlag+k) * *(bTrans+iFlag+k); + *(C+cLoc) += *(A+jFlag+k+1) * *(bTrans+iFlag+k+1); + *(C+cLoc) += *(A+jFlag+k+2) * *(bTrans+iFlag+k+2); + *(C+cLoc) += *(A+jFlag+k+3) * *(bTrans+iFlag+k+3); + *(C+cLoc) += *(A+jFlag+k+4) * *(bTrans+iFlag+k+4); + *(C+cLoc) += *(A+jFlag+k+5) * *(bTrans+iFlag+k+5); + *(C+cLoc) += *(A+jFlag+k+6) * *(bTrans+iFlag+k+6); + *(C+cLoc) += *(A+jFlag+k+7) * *(bTrans+iFlag+k+7); + *(C+cLoc) += *(A+jFlag+k+8) * *(bTrans+iFlag+k+8); + *(C+cLoc) += *(A+jFlag+k+9) * *(bTrans+iFlag+k+9); + *(C+cLoc) += *(A+jFlag+k+10) * *(bTrans+iFlag+k+10); + *(C+cLoc) += *(A+jFlag+k+11) * *(bTrans+iFlag+k+11); + *(C+cLoc) += *(A+jFlag+k+12) * *(bTrans+iFlag+k+12); + *(C+cLoc) += *(A+jFlag+k+13) * *(bTrans+iFlag+k+13); + *(C+cLoc) += *(A+jFlag+k+14) * *(bTrans+iFlag+k+14); + *(C+cLoc) += *(A+jFlag+k+15) * *(bTrans+iFlag+k+15); + } + } + } + //} + } + + +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + +// // Execute the provided, naive matmul +// barrier(); +// stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); +// +// +// // verify +// verify(ARRAY_SIZE, results_data, verify_data); +// +// // clear results from the first trial +// size_t i; +// if (coreid == 0) +// for (i=0; i < ARRAY_SIZE; i++) +// results_data[i] = 0; +// barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/at_vvadd/at_vvadd.c b/mt/at_vvadd/at_vvadd.c new file mode 100755 index 0000000..55fb8de --- /dev/null +++ b/mt/at_vvadd/at_vvadd.c @@ -0,0 +1,179 @@ +//************************************************************************** +// Vector-vector add benchmark +//-------------------------------------------------------------------------- +// Author : Andrew Waterman +// TA : Christopher Celio +// Student : +// +// This benchmark adds two vectors and writes the results to a +// third vector. The input data (and reference data) should be +// generated using the vvadd_gendata.pl perl script and dumped +// to a file named dataset.h + +// to print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DATA_SIZE, 10*_c/DATA_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %4ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %4ld, correct[%d]= %4ld\n", + i, (long) test[i], i, (long)correct[i]); + exit(-1); + } + } + + + + return; +} + +//-------------------------------------------------------------------------- +// vvadd function + +//perform in-place vvadd +void __attribute__((noinline)) vvadd(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + size_t i; + + // interleave accesses + for (i = coreid; i < n; i+=ncores) + { + + + x[i] = x[i] + y[i]; + } +} + +void __attribute__((noinline)) vvadd_opt(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + + size_t i; + + // interleave accesses + for (i = (coreid*n)/ncores; i < ((coreid+1)*n)/ncores; i++) + { + + + x[i] = x[i] + y[i]; + } +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[DATA_SIZE]; + + // because we're going to perform an in-place vvadd (and we're going to run + // it a couple of times) let's copy the input data to a temporary results + // array + + size_t i; + if (coreid == 0) + { + for (i = 0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + + + // Execute the provided, terrible vvadd + barrier(); + stats(vvadd(DATA_SIZE, results_data, input2_data); barrier()); + + + // verify + verify(DATA_SIZE, results_data, verify_data); + + // reset results from the first trial + if (coreid == 0) + { + for (i=0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + barrier(); + + + // Execute your faster vvadd + barrier(); + stats(vvadd_opt(DATA_SIZE, results_data, input2_data); barrier()); + +#ifdef DEBUG + printArray("results: ", DATA_SIZE, results_data); + printArray("verify : ", DATA_SIZE, verify_data); +#endif + + // verify + verify(DATA_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/at_vvadd/dataset.h b/mt/at_vvadd/dataset.h new file mode 100755 index 0000000..ce9f936 --- /dev/null +++ b/mt/at_vvadd/dataset.h @@ -0,0 +1,165 @@ + +#define DATA_SIZE 1000 + +static data_t input1_data[DATA_SIZE] = +{ + 0.00, 15.00, 10.00, 3.00, 14.00, 6.00, 2.00, 18.00, 11.00, 15.00, 11.00, 0.00, 17.00, 16.00, 7.00, 13.00, 18.00, 2.00, 2.00, 5.00, + 8.00, 5.00, 12.00, 14.00, 6.00, 12.00, 16.00, 7.00, 9.00, 17.00, 10.00, 10.00, 3.00, 5.00, 14.00, 11.00, 9.00, 12.00, 3.00, 1.00, + 5.00, 4.00, 6.00, 17.00, 17.00, 4.00, 17.00, 15.00, 17.00, 18.00, 3.00, 18.00, 10.00, 6.00, 12.00, 12.00, 3.00, 2.00, 16.00, 1.00, + 5.00, 6.00, 2.00, 17.00, 16.00, 5.00, 10.00, 18.00, 14.00, 4.00, 9.00, 9.00, 7.00, 4.00, 8.00, 13.00, 12.00, 6.00, 4.00, 17.00, + 5.00, 2.00, 11.00, 11.00, 7.00, 6.00, 8.00, 5.00, 6.00, 6.00, 11.00, 1.00, 18.00, 7.00, 6.00, 9.00, 10.00, 17.00, 14.00, 4.00, + 14.00, 11.00, 2.00, 0.00, 2.00, 17.00, 17.00, 15.00, 10.00, 8.00, 12.00, 18.00, 5.00, 0.00, 0.00, 1.00, 1.00, 8.00, 11.00, 11.00, + 7.00, 5.00, 15.00, 18.00, 15.00, 6.00, 8.00, 9.00, 18.00, 6.00, 15.00, 16.00, 10.00, 18.00, 13.00, 6.00, 10.00, 16.00, 0.00, 10.00, + 12.00, 8.00, 8.00, 3.00, 0.00, 1.00, 4.00, 0.00, 8.00, 15.00, 16.00, 9.00, 7.00, 7.00, 10.00, 9.00, 16.00, 12.00, 5.00, 5.00, + 9.00, 5.00, 17.00, 4.00, 13.00, 13.00, 4.00, 14.00, 10.00, 5.00, 10.00, 10.00, 6.00, 18.00, 5.00, 15.00, 5.00, 15.00, 13.00, 18.00, + 6.00, 13.00, 5.00, 18.00, 12.00, 14.00, 1.00, 7.00, 2.00, 1.00, 7.00, 12.00, 15.00, 15.00, 6.00, 2.00, 1.00, 2.00, 18.00, 6.00, + 10.00, 14.00, 9.00, 15.00, 11.00, 0.00, 3.00, 1.00, 2.00, 2.00, 14.00, 7.00, 18.00, 0.00, 2.00, 2.00, 16.00, 8.00, 4.00, 5.00, + 7.00, 11.00, 7.00, 10.00, 14.00, 10.00, 3.00, 0.00, 13.00, 9.00, 14.00, 0.00, 14.00, 1.00, 3.00, 16.00, 2.00, 14.00, 6.00, 17.00, + 17.00, 6.00, 9.00, 8.00, 9.00, 12.00, 5.00, 14.00, 2.00, 16.00, 17.00, 5.00, 4.00, 0.00, 14.00, 10.00, 6.00, 15.00, 15.00, 14.00, + 5.00, 1.00, 8.00, 8.00, 13.00, 8.00, 0.00, 4.00, 7.00, 9.00, 13.00, 16.00, 9.00, 14.00, 9.00, 13.00, 0.00, 7.00, 16.00, 17.00, + 18.00, 10.00, 13.00, 8.00, 4.00, 9.00, 13.00, 0.00, 6.00, 4.00, 6.00, 4.00, 10.00, 14.00, 14.00, 9.00, 15.00, 15.00, 3.00, 3.00, + 12.00, 0.00, 3.00, 2.00, 16.00, 1.00, 7.00, 2.00, 16.00, 2.00, 2.00, 0.00, 14.00, 3.00, 3.00, 10.00, 4.00, 10.00, 3.00, 4.00, + 13.00, 14.00, 13.00, 0.00, 1.00, 15.00, 16.00, 9.00, 7.00, 9.00, 0.00, 11.00, 1.00, 1.00, 15.00, 17.00, 12.00, 16.00, 15.00, 4.00, + 8.00, 2.00, 10.00, 10.00, 0.00, 18.00, 17.00, 7.00, 7.00, 2.00, 10.00, 17.00, 9.00, 7.00, 5.00, 3.00, 8.00, 11.00, 6.00, 9.00, + 13.00, 0.00, 3.00, 5.00, 2.00, 5.00, 7.00, 4.00, 9.00, 2.00, 13.00, 17.00, 14.00, 12.00, 1.00, 3.00, 7.00, 17.00, 0.00, 14.00, + 16.00, 2.00, 2.00, 1.00, 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9.00, 18.00, 11.00, 8.00, 4.00, 14.00, 6.00, + 17.00, 2.00, 6.00, 8.00, 11.00, 13.00, 6.00, 18.00, 17.00, 6.00, 8.00, 0.00, 1.00, 14.00, 18.00, 4.00, 0.00, 4.00, 3.00, 3.00, + 16.00, 8.00, 16.00, 1.00, 2.00, 0.00, 15.00, 14.00, 10.00, 9.00, 15.00, 3.00, 5.00, 18.00, 5.00, 6.00, 7.00, 3.00, 7.00, 2.00, + 6.00, 12.00, 10.00, 10.00, 18.00, 16.00, 0.00, 9.00, 17.00, 10.00, 9.00, 14.00, 15.00, 5.00, 8.00, 15.00, 3.00, 15.00, 14.00, 11.00, + 6.00, 6.00, 14.00, 0.00, 14.00, 0.00, 7.00, 12.00, 8.00, 7.00, 1.00, 3.00, 6.00, 10.00, 12.00, 1.00, 16.00, 5.00, 5.00, 6.00, + 17.00, 15.00, 15.00, 9.00, 4.00, 18.00, 17.00, 13.00, 12.00, 9.00, 7.00, 10.00, 2.00, 5.00, 8.00, 18.00, 1.00, 15.00, 8.00, 0.00 +}; + +static data_t verify_data[DATA_SIZE] = +{ + 8.00, 21.00, 10.00, 21.00, 20.00, 16.00, 3.00, 20.00, 15.00, 17.00, 15.00, 10.00, 23.00, 27.00, 24.00, 17.00, 18.00, 18.00, 16.00, 17.00, + 17.00, 13.00, 25.00, 29.00, 24.00, 14.00, 29.00, 17.00, 14.00, 21.00, 22.00, 19.00, 4.00, 18.00, 26.00, 18.00, 19.00, 29.00, 14.00, 11.00, + 23.00, 19.00, 17.00, 29.00, 24.00, 13.00, 23.00, 20.00, 28.00, 25.00, 13.00, 30.00, 28.00, 24.00, 27.00, 13.00, 6.00, 20.00, 27.00, 17.00, + 18.00, 24.00, 6.00, 30.00, 24.00, 12.00, 20.00, 31.00, 14.00, 13.00, 10.00, 25.00, 20.00, 11.00, 13.00, 18.00, 23.00, 7.00, 10.00, 27.00, + 17.00, 5.00, 21.00, 16.00, 22.00, 21.00, 21.00, 19.00, 20.00, 7.00, 29.00, 6.00, 34.00, 21.00, 16.00, 13.00, 18.00, 21.00, 20.00, 10.00, + 27.00, 25.00, 10.00, 5.00, 16.00, 27.00, 26.00, 25.00, 27.00, 23.00, 18.00, 34.00, 17.00, 9.00, 10.00, 17.00, 17.00, 16.00, 12.00, 23.00, + 14.00, 5.00, 15.00, 21.00, 20.00, 13.00, 18.00, 12.00, 35.00, 16.00, 33.00, 32.00, 11.00, 29.00, 31.00, 15.00, 12.00, 16.00, 12.00, 16.00, + 25.00, 9.00, 21.00, 8.00, 7.00, 14.00, 21.00, 9.00, 23.00, 28.00, 21.00, 11.00, 11.00, 11.00, 13.00, 9.00, 25.00, 23.00, 8.00, 17.00, + 15.00, 16.00, 18.00, 20.00, 25.00, 24.00, 6.00, 16.00, 25.00, 17.00, 18.00, 19.00, 20.00, 20.00, 16.00, 15.00, 5.00, 22.00, 15.00, 31.00, + 21.00, 31.00, 12.00, 34.00, 28.00, 15.00, 2.00, 19.00, 14.00, 3.00, 9.00, 13.00, 22.00, 19.00, 6.00, 10.00, 19.00, 6.00, 29.00, 12.00, + 27.00, 27.00, 21.00, 20.00, 27.00, 12.00, 3.00, 10.00, 12.00, 12.00, 32.00, 19.00, 26.00, 7.00, 7.00, 10.00, 32.00, 11.00, 13.00, 23.00, + 19.00, 24.00, 25.00, 16.00, 22.00, 22.00, 5.00, 12.00, 21.00, 17.00, 23.00, 18.00, 22.00, 1.00, 12.00, 18.00, 8.00, 21.00, 6.00, 20.00, + 28.00, 8.00, 27.00, 10.00, 25.00, 13.00, 21.00, 25.00, 13.00, 32.00, 33.00, 16.00, 11.00, 4.00, 28.00, 20.00, 11.00, 23.00, 19.00, 28.00, + 22.00, 14.00, 21.00, 11.00, 14.00, 22.00, 1.00, 11.00, 7.00, 11.00, 20.00, 30.00, 13.00, 23.00, 23.00, 16.00, 9.00, 20.00, 29.00, 20.00, + 21.00, 27.00, 13.00, 26.00, 8.00, 17.00, 19.00, 9.00, 10.00, 6.00, 6.00, 18.00, 13.00, 17.00, 28.00, 17.00, 21.00, 22.00, 5.00, 15.00, + 17.00, 14.00, 9.00, 14.00, 18.00, 17.00, 8.00, 17.00, 23.00, 20.00, 2.00, 0.00, 27.00, 16.00, 15.00, 21.00, 20.00, 25.00, 17.00, 12.00, + 22.00, 24.00, 21.00, 8.00, 14.00, 28.00, 29.00, 19.00, 8.00, 24.00, 4.00, 11.00, 13.00, 2.00, 23.00, 29.00, 13.00, 34.00, 27.00, 22.00, + 17.00, 3.00, 21.00, 15.00, 13.00, 25.00, 18.00, 20.00, 12.00, 10.00, 27.00, 28.00, 22.00, 22.00, 14.00, 6.00, 25.00, 29.00, 15.00, 12.00, + 28.00, 11.00, 15.00, 5.00, 4.00, 20.00, 10.00, 4.00, 22.00, 3.00, 27.00, 31.00, 29.00, 20.00, 7.00, 3.00, 7.00, 28.00, 17.00, 14.00, + 17.00, 10.00, 8.00, 7.00, 12.00, 21.00, 34.00, 20.00, 9.00, 22.00, 19.00, 21.00, 25.00, 24.00, 18.00, 14.00, 23.00, 23.00, 9.00, 15.00, + 19.00, 7.00, 20.00, 32.00, 20.00, 27.00, 27.00, 30.00, 27.00, 32.00, 8.00, 19.00, 21.00, 28.00, 16.00, 25.00, 13.00, 22.00, 24.00, 13.00, + 21.00, 16.00, 10.00, 23.00, 21.00, 11.00, 25.00, 19.00, 21.00, 14.00, 14.00, 26.00, 30.00, 12.00, 5.00, 26.00, 22.00, 11.00, 7.00, 16.00, + 12.00, 22.00, 14.00, 23.00, 21.00, 28.00, 31.00, 20.00, 1.00, 23.00, 30.00, 32.00, 16.00, 14.00, 9.00, 23.00, 21.00, 31.00, 3.00, 23.00, + 17.00, 7.00, 22.00, 6.00, 30.00, 4.00, 7.00, 22.00, 17.00, 17.00, 19.00, 18.00, 31.00, 11.00, 18.00, 11.00, 22.00, 12.00, 29.00, 15.00, + 35.00, 11.00, 12.00, 17.00, 18.00, 29.00, 17.00, 33.00, 33.00, 15.00, 27.00, 20.00, 29.00, 14.00, 23.00, 15.00, 21.00, 18.00, 20.00, 17.00, + 24.00, 5.00, 29.00, 13.00, 19.00, 18.00, 19.00, 13.00, 5.00, 16.00, 22.00, 14.00, 25.00, 21.00, 7.00, 17.00, 19.00, 15.00, 5.00, 16.00, + 33.00, 28.00, 10.00, 24.00, 24.00, 13.00, 11.00, 17.00, 12.00, 28.00, 21.00, 5.00, 19.00, 25.00, 13.00, 5.00, 10.00, 25.00, 21.00, 17.00, + 13.00, 20.00, 9.00, 16.00, 24.00, 18.00, 16.00, 22.00, 19.00, 10.00, 0.00, 14.00, 21.00, 24.00, 23.00, 10.00, 33.00, 23.00, 21.00, 17.00, + 17.00, 19.00, 26.00, 22.00, 12.00, 27.00, 31.00, 23.00, 6.00, 32.00, 12.00, 10.00, 9.00, 19.00, 18.00, 18.00, 20.00, 24.00, 17.00, 7.00, + 21.00, 27.00, 14.00, 20.00, 5.00, 19.00, 11.00, 18.00, 25.00, 1.00, 12.00, 21.00, 13.00, 26.00, 20.00, 3.00, 17.00, 28.00, 18.00, 16.00, + 13.00, 11.00, 11.00, 24.00, 2.00, 27.00, 18.00, 19.00, 18.00, 16.00, 25.00, 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30.00, 12.00, 21.00, 21.00, 27.00, 14.00, + 21.00, 31.00, 3.00, 21.00, 14.00, 20.00, 30.00, 20.00, 21.00, 32.00, 27.00, 24.00, 16.00, 31.00, 5.00, 20.00, 14.00, 17.00, 15.00, 16.00, + 19.00, 13.00, 4.00, 21.00, 20.00, 29.00, 10.00, 22.00, 19.00, 24.00, 29.00, 14.00, 10.00, 15.00, 18.00, 7.00, 28.00, 17.00, 7.00, 2.00, + 1.00, 19.00, 17.00, 23.00, 31.00, 13.00, 20.00, 36.00, 17.00, 27.00, 28.00, 18.00, 20.00, 29.00, 17.00, 23.00, 24.00, 23.00, 26.00, 17.00, + 9.00, 26.00, 16.00, 18.00, 10.00, 28.00, 32.00, 20.00, 19.00, 14.00, 22.00, 23.00, 13.00, 22.00, 14.00, 7.00, 20.00, 10.00, 25.00, 9.00, + 7.00, 2.00, 31.00, 16.00, 16.00, 22.00, 5.00, 15.00, 26.00, 23.00, 10.00, 18.00, 32.00, 24.00, 15.00, 30.00, 16.00, 13.00, 15.00, 7.00, + 11.00, 6.00, 21.00, 14.00, 25.00, 21.00, 11.00, 16.00, 14.00, 26.00, 25.00, 15.00, 22.00, 24.00, 4.00, 19.00, 14.00, 26.00, 22.00, 17.00, + 13.00, 14.00, 7.00, 32.00, 20.00, 33.00, 13.00, 7.00, 29.00, 8.00, 26.00, 6.00, 9.00, 13.00, 22.00, 23.00, 8.00, 22.00, 22.00, 10.00, + 24.00, 2.00, 17.00, 9.00, 22.00, 30.00, 24.00, 33.00, 25.00, 17.00, 23.00, 9.00, 13.00, 15.00, 23.00, 10.00, 1.00, 22.00, 17.00, 10.00, + 32.00, 24.00, 26.00, 4.00, 15.00, 0.00, 27.00, 23.00, 28.00, 23.00, 30.00, 7.00, 16.00, 33.00, 20.00, 14.00, 23.00, 14.00, 20.00, 14.00, + 7.00, 25.00, 24.00, 12.00, 29.00, 16.00, 17.00, 20.00, 29.00, 16.00, 13.00, 18.00, 26.00, 18.00, 18.00, 17.00, 13.00, 29.00, 14.00, 17.00, + 24.00, 16.00, 21.00, 14.00, 26.00, 9.00, 11.00, 28.00, 25.00, 15.00, 15.00, 12.00, 6.00, 14.00, 27.00, 14.00, 24.00, 18.00, 18.00, 14.00, + 32.00, 21.00, 26.00, 13.00, 6.00, 24.00, 22.00, 27.00, 17.00, 26.00, 19.00, 21.00, 19.00, 9.00, 21.00, 25.00, 17.00, 27.00, 15.00, 18.00 +}; + diff --git a/mt/at_vvadd/vvadd_gendata.pl b/mt/at_vvadd/vvadd_gendata.pl new file mode 100755 index 0000000..a9fceac --- /dev/null +++ b/mt/at_vvadd/vvadd_gendata.pl @@ -0,0 +1,139 @@ +#!/usr/bin/perl -w +#========================================================================== +# vvadd_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the vvadd benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: vvadd_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[DATA_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3.2f",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + my @values1; + my @values2; + my @sum; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + my $value1 = int(rand(19)); + my $value2 = int(rand(19)); + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @sum, $value1 + $value2 ); + } + + + print "\n\#define DATA_SIZE ".$opts{"size"}." \n\n"; + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@sum ); + +} + +main(); + diff --git a/mt/av_matmul/av_matmul.c b/mt/av_matmul/av_matmul.c new file mode 100644 index 0000000..8a28949 --- /dev/null +++ b/mt/av_matmul/av_matmul.c @@ -0,0 +1,2902 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + + //-------------------------------------------------------------first working version best 500k + /* + static __thread int i, j, k; + if(coreid == 0) + { + for ( j = 0; j < lda; j+=2 ) + { + for ( k = 0; k < lda; k++ ) + { + for ( i = 0; i < lda; i++) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + } + } + + if(coreid ==1) + { + for ( j = 1; j < lda; j+=2 ) + { + for ( k = 0;k < lda; k++) + { + for ( i = 0; i < lda; i++) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + + } + } + } + } + */ + //-------------------------------------------------------------version1.1, take read out of inner loop,300k + /* + static __thread int i, j, k; + static __thread data_t TempA; + + if(coreid == 0) + { + for ( j = 0; j < lda; j+=2 ) + { + for ( k = 0; k < lda; k++ ) + { + TempA = A[j*lda + k]; + for ( i = 0; i < lda; i++) + { + C[i + j*lda] += TempA* B[k*lda + i]; + } + } + } + } + + if(coreid ==1) + { + for ( j = 1; j < lda; j+=2 ) + { + for ( k = 0;k < lda; k++) + { + TempA = A[j*lda + k]; + for ( i = 0; i < lda; i++) + { + C[i + j*lda] += TempA* B[k*lda + i]; + } + } + } + } + */ + //-------------------------------------------------------------version2.0, read 8 elements in B at one time. 140k mi, MSI117.0k + /* + static __thread int i, j, k, m, n; + static __thread data_t TempA; + static __thread data_t TempB[8]; + + if(coreid == 0) + { + for ( j = 0; j < lda; j+=2 ) + { + for ( k = 0; k < lda; k++ ) + { + TempA = A[j*lda + k]; + for( n = 0; n < 4; n++) + { + + TempB[0] = B[k*lda+0+8*n]; + TempB[1] = B[k*lda+1+8*n]; + TempB[2] = B[k*lda+2+8*n]; + TempB[3] = B[k*lda+3+8*n]; + TempB[4] = B[k*lda+4+8*n]; + TempB[5] = B[k*lda+5+8*n]; + TempB[6] = B[k*lda+6+8*n]; + TempB[7] = B[k*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA * TempB[0]; + C[1+8*n+j*lda] += TempA * TempB[1]; + C[2+8*n+j*lda] += TempA * TempB[2]; + C[3+8*n+j*lda] += TempA * TempB[3]; + C[4+8*n+j*lda] += TempA * TempB[4]; + C[5+8*n+j*lda] += TempA * TempB[5]; + C[6+8*n+j*lda] += TempA * TempB[6]; + C[7+8*n+j*lda] += TempA * TempB[7]; + + } + + } + } + } + + if(coreid == 1) + { + for ( j = 1; j < lda; j+=2 ) + { + for ( k = 0; k < lda; k++ ) + { + TempA = A[j*lda + k]; + for( n = 0; n < 4; n++) + { + + TempB[0] = B[k*lda+0+8*n]; + TempB[1] = B[k*lda+1+8*n]; + TempB[2] = B[k*lda+2+8*n]; + TempB[3] = B[k*lda+3+8*n]; + TempB[4] = B[k*lda+4+8*n]; + TempB[5] = B[k*lda+5+8*n]; + TempB[6] = B[k*lda+6+8*n]; + TempB[7] = B[k*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA * TempB[0]; + C[1+8*n+j*lda] += TempA * TempB[1]; + C[2+8*n+j*lda] += TempA * TempB[2]; + C[3+8*n+j*lda] += TempA * TempB[3]; + C[4+8*n+j*lda] += TempA * TempB[4]; + C[5+8*n+j*lda] += TempA * TempB[5]; + C[6+8*n+j*lda] += TempA * TempB[6]; + C[7+8*n+j*lda] += TempA * TempB[7]; + + } + + } + } + } + */ + + //-------------------------------------------------------------version2.1, optimize k. 700k. bad move to v2.2. + //-------------------------------------------------------------version2.9 take off all inner loops for both cores, MSI,109K. MI 182k + //-------------------------------------------------------------version2.10 use i= j*lda inside the n loop increase speed. but not out m and n. tried replace first 3, get 104.9k + /* + static __thread int j, m, i,n; + static __thread data_t TempA[8]; + static __thread data_t TempB[8]; + + if(coreid == 1) + { + for ( j = 1; j < lda; j+=2 ) + { + + for ( m = 0; m < 4; m++ ) + { + + TempA[0] = A[j*lda+0+8*m]; + TempA[1] = A[j*lda+1+8*m]; + TempA[2] = A[j*lda+2+8*m]; + TempA[3] = A[j*lda+3+8*m]; + TempA[4] = A[j*lda+4+8*m]; + TempA[5] = A[j*lda+5+8*m]; + TempA[6] = A[j*lda+6+8*m]; + TempA[7] = A[j*lda+7+8*m]; + + for( n = 0; n < 4; n++) + { + i = j*lda; + + TempB[0] = B[(0+8*m)*lda+0+8*n]; + TempB[1] = B[(0+8*m)*lda+1+8*n]; + TempB[2] = B[(0+8*m)*lda+2+8*n]; + TempB[3] = B[(0+8*m)*lda+3+8*n]; + TempB[4] = B[(0+8*m)*lda+4+8*n]; + TempB[5] = B[(0+8*m)*lda+5+8*n]; + TempB[6] = B[(0+8*m)*lda+6+8*n]; + TempB[7] = B[(0+8*m)*lda+7+8*n]; + + C[0+8*n+i] += TempA[0] * TempB[0]; + C[1+8*n+i] += TempA[0] * TempB[1]; + C[2+8*n+i] += TempA[0] * TempB[2]; + C[3+8*n+i] += TempA[0] * TempB[3]; + C[4+8*n+i] += TempA[0] * TempB[4]; + C[5+8*n+i] += TempA[0] * TempB[5]; + C[6+8*n+i] += TempA[0] * TempB[6]; + C[7+8*n+i] += TempA[0] * TempB[7]; + + + + TempB[0] = B[(1+8*m)*lda+0+8*n]; + TempB[1] = B[(1+8*m)*lda+1+8*n]; + TempB[2] = B[(1+8*m)*lda+2+8*n]; + TempB[3] = B[(1+8*m)*lda+3+8*n]; + TempB[4] = B[(1+8*m)*lda+4+8*n]; + TempB[5] = B[(1+8*m)*lda+5+8*n]; + TempB[6] = B[(1+8*m)*lda+6+8*n]; + TempB[7] = B[(1+8*m)*lda+7+8*n]; + + C[0+8*n+i] += TempA[1] * TempB[0]; + C[1+8*n+i] += TempA[1] * TempB[1]; + C[2+8*n+i] += TempA[1] * TempB[2]; + C[3+8*n+i] += TempA[1] * TempB[3]; + C[4+8*n+i] += TempA[1] * TempB[4]; + C[5+8*n+i] += TempA[1] * TempB[5]; + C[6+8*n+i] += TempA[1] * TempB[6]; + C[7+8*n+i] += TempA[1] * TempB[7]; + + + + TempB[0] = B[(2+8*m)*lda+0+8*n]; + TempB[1] = B[(2+8*m)*lda+1+8*n]; + TempB[2] = B[(2+8*m)*lda+2+8*n]; + TempB[3] = B[(2+8*m)*lda+3+8*n]; + TempB[4] = B[(2+8*m)*lda+4+8*n]; + TempB[5] = B[(2+8*m)*lda+5+8*n]; + TempB[6] = B[(2+8*m)*lda+6+8*n]; + TempB[7] = B[(2+8*m)*lda+7+8*n]; + + C[0+8*n+i] += TempA[2] * TempB[0]; + C[1+8*n+i] += TempA[2] * TempB[1]; + C[2+8*n+i] += TempA[2] * TempB[2]; + C[3+8*n+i] += TempA[2] * TempB[3]; + C[4+8*n+i] += TempA[2] * TempB[4]; + C[5+8*n+i] += TempA[2] * TempB[5]; + C[6+8*n+i] += TempA[2] * TempB[6]; + C[7+8*n+i] += TempA[2] * TempB[7]; + + + + TempB[0] = B[(3+8*m)*lda+0+8*n]; + TempB[1] = B[(3+8*m)*lda+1+8*n]; + TempB[2] = B[(3+8*m)*lda+2+8*n]; + TempB[3] = B[(3+8*m)*lda+3+8*n]; + TempB[4] = B[(3+8*m)*lda+4+8*n]; + TempB[5] = B[(3+8*m)*lda+5+8*n]; + TempB[6] = B[(3+8*m)*lda+6+8*n]; + TempB[7] = B[(3+8*m)*lda+7+8*n]; + + C[0+8*n+i] += TempA[3] * TempB[0]; + C[1+8*n+i] += TempA[3] * TempB[1]; + C[2+8*n+i] += TempA[3] * TempB[2]; + C[3+8*n+i] += TempA[3] * TempB[3]; + C[4+8*n+i] += TempA[3] * TempB[4]; + C[5+8*n+i] += TempA[3] * TempB[5]; + C[6+8*n+i] += TempA[3] * TempB[6]; + C[7+8*n+i] += TempA[3] * TempB[7]; + + + TempB[0] = B[(4+8*m)*lda+0+8*n]; + TempB[1] = B[(4+8*m)*lda+1+8*n]; + TempB[2] = B[(4+8*m)*lda+2+8*n]; + TempB[3] = B[(4+8*m)*lda+3+8*n]; + TempB[4] = B[(4+8*m)*lda+4+8*n]; + TempB[5] = B[(4+8*m)*lda+5+8*n]; + TempB[6] = B[(4+8*m)*lda+6+8*n]; + TempB[7] = B[(4+8*m)*lda+7+8*n]; + + C[0+8*n+i] += TempA[4] * TempB[0]; + C[1+8*n+i] += TempA[4] * TempB[1]; + C[2+8*n+i] += TempA[4] * TempB[2]; + C[3+8*n+i] += TempA[4] * TempB[3]; + C[4+8*n+i] += TempA[4] * TempB[4]; + C[5+8*n+i] += TempA[4] * TempB[5]; + C[6+8*n+i] += TempA[4] * TempB[6]; + C[7+8*n+i] += TempA[4] * TempB[7]; + + + + TempB[0] = B[(5+8*m)*lda+0+8*n]; + TempB[1] = B[(5+8*m)*lda+1+8*n]; + TempB[2] = B[(5+8*m)*lda+2+8*n]; + TempB[3] = B[(5+8*m)*lda+3+8*n]; + TempB[4] = B[(5+8*m)*lda+4+8*n]; + TempB[5] = B[(5+8*m)*lda+5+8*n]; + TempB[6] = B[(5+8*m)*lda+6+8*n]; + TempB[7] = B[(5+8*m)*lda+7+8*n]; + + C[0+8*n+i] += TempA[5] * TempB[0]; + C[1+8*n+i] += TempA[5] * TempB[1]; + C[2+8*n+i] += TempA[5] * TempB[2]; + C[3+8*n+i] += TempA[5] * TempB[3]; + C[4+8*n+i] += TempA[5] * TempB[4]; + C[5+8*n+i] += TempA[5] * TempB[5]; + C[6+8*n+i] += TempA[5] * TempB[6]; + C[7+8*n+i] += TempA[5] * TempB[7]; + + + + TempB[0] = B[(6+8*m)*lda+0+8*n]; + TempB[1] = B[(6+8*m)*lda+1+8*n]; + TempB[2] = B[(6+8*m)*lda+2+8*n]; + TempB[3] = B[(6+8*m)*lda+3+8*n]; + TempB[4] = B[(6+8*m)*lda+4+8*n]; + TempB[5] = B[(6+8*m)*lda+5+8*n]; + TempB[6] = B[(6+8*m)*lda+6+8*n]; + TempB[7] = B[(6+8*m)*lda+7+8*n]; + + C[0+8*n+i] += TempA[6] * TempB[0]; + C[1+8*n+i] += TempA[6] * TempB[1]; + C[2+8*n+i] += TempA[6] * TempB[2]; + C[3+8*n+i] += TempA[6] * TempB[3]; + C[4+8*n+i] += TempA[6] * TempB[4]; + C[5+8*n+i] += TempA[6] * TempB[5]; + C[6+8*n+i] += TempA[6] * TempB[6]; + C[7+8*n+i] += TempA[6] * TempB[7]; + + + TempB[0] = B[(7+8*m)*lda+0+8*n]; + TempB[1] = B[(7+8*m)*lda+1+8*n]; + TempB[2] = B[(7+8*m)*lda+2+8*n]; + TempB[3] = B[(7+8*m)*lda+3+8*n]; + TempB[4] = B[(7+8*m)*lda+4+8*n]; + TempB[5] = B[(7+8*m)*lda+5+8*n]; + TempB[6] = B[(7+8*m)*lda+6+8*n]; + TempB[7] = B[(7+8*m)*lda+7+8*n]; + + C[0+8*n+i] += TempA[7] * TempB[0]; + C[1+8*n+i] += TempA[7] * TempB[1]; + C[2+8*n+i] += TempA[7] * TempB[2]; + C[3+8*n+i] += TempA[7] * TempB[3]; + C[4+8*n+i] += TempA[7] * TempB[4]; + C[5+8*n+i] += TempA[7] * TempB[5]; + C[6+8*n+i] += TempA[7] * TempB[6]; + C[7+8*n+i] += TempA[7] * TempB[7]; + } + + } + } + } + if(coreid == 0) + { + for ( j = 0; j < lda; j+=2 ) + { + + for ( m = 0; m < 4; m++ ) + { + + TempA[0] = A[j*lda+0+8*m]; + TempA[1] = A[j*lda+1+8*m]; + TempA[2] = A[j*lda+2+8*m]; + TempA[3] = A[j*lda+3+8*m]; + TempA[4] = A[j*lda+4+8*m]; + TempA[5] = A[j*lda+5+8*m]; + TempA[6] = A[j*lda+6+8*m]; + TempA[7] = A[j*lda+7+8*m]; + + for( n = 0; n < 4; n++) + { + i = j*lda; + + TempB[0] = B[(0+8*m)*lda+0+8*n]; + TempB[1] = B[(0+8*m)*lda+1+8*n]; + TempB[2] = B[(0+8*m)*lda+2+8*n]; + TempB[3] = B[(0+8*m)*lda+3+8*n]; + TempB[4] = B[(0+8*m)*lda+4+8*n]; + TempB[5] = B[(0+8*m)*lda+5+8*n]; + TempB[6] = B[(0+8*m)*lda+6+8*n]; + TempB[7] = B[(0+8*m)*lda+7+8*n]; + + C[0+8*n+i] += TempA[0] * TempB[0]; + C[1+8*n+i] += TempA[0] * TempB[1]; + C[2+8*n+i] += TempA[0] * TempB[2]; + C[3+8*n+i] += TempA[0] * TempB[3]; + C[4+8*n+i] += TempA[0] * TempB[4]; + C[5+8*n+i] += TempA[0] * TempB[5]; + C[6+8*n+i] += TempA[0] * TempB[6]; + C[7+8*n+i] += TempA[0] * TempB[7]; + + + + TempB[0] = B[(1+8*m)*lda+0+8*n]; + TempB[1] = B[(1+8*m)*lda+1+8*n]; + TempB[2] = B[(1+8*m)*lda+2+8*n]; + TempB[3] = B[(1+8*m)*lda+3+8*n]; + TempB[4] = B[(1+8*m)*lda+4+8*n]; + TempB[5] = B[(1+8*m)*lda+5+8*n]; + TempB[6] = B[(1+8*m)*lda+6+8*n]; + TempB[7] = B[(1+8*m)*lda+7+8*n]; + + C[0+8*n+i] += TempA[1] * TempB[0]; + C[1+8*n+i] += TempA[1] * TempB[1]; + C[2+8*n+i] += TempA[1] * TempB[2]; + C[3+8*n+i] += TempA[1] * TempB[3]; + C[4+8*n+i] += TempA[1] * TempB[4]; + C[5+8*n+i] += TempA[1] * TempB[5]; + C[6+8*n+i] += TempA[1] * TempB[6]; + C[7+8*n+i] += TempA[1] * TempB[7]; + + + + TempB[0] = B[(2+8*m)*lda+0+8*n]; + TempB[1] = B[(2+8*m)*lda+1+8*n]; + TempB[2] = B[(2+8*m)*lda+2+8*n]; + TempB[3] = B[(2+8*m)*lda+3+8*n]; + TempB[4] = B[(2+8*m)*lda+4+8*n]; + TempB[5] = B[(2+8*m)*lda+5+8*n]; + TempB[6] = B[(2+8*m)*lda+6+8*n]; + TempB[7] = B[(2+8*m)*lda+7+8*n]; + + C[0+8*n+i] += TempA[2] * TempB[0]; + C[1+8*n+i] += TempA[2] * TempB[1]; + C[2+8*n+i] += TempA[2] * TempB[2]; + C[3+8*n+i] += TempA[2] * TempB[3]; + C[4+8*n+i] += TempA[2] * TempB[4]; + C[5+8*n+i] += TempA[2] * TempB[5]; + C[6+8*n+i] += TempA[2] * TempB[6]; + C[7+8*n+i] += TempA[2] * TempB[7]; + + + + TempB[0] = B[(3+8*m)*lda+0+8*n]; + TempB[1] = B[(3+8*m)*lda+1+8*n]; + TempB[2] = B[(3+8*m)*lda+2+8*n]; + TempB[3] = B[(3+8*m)*lda+3+8*n]; + TempB[4] = B[(3+8*m)*lda+4+8*n]; + TempB[5] = B[(3+8*m)*lda+5+8*n]; + TempB[6] = B[(3+8*m)*lda+6+8*n]; + TempB[7] = B[(3+8*m)*lda+7+8*n]; + + C[0+8*n+i] += TempA[3] * TempB[0]; + C[1+8*n+i] += TempA[3] * TempB[1]; + C[2+8*n+i] += TempA[3] * TempB[2]; + C[3+8*n+i] += TempA[3] * TempB[3]; + C[4+8*n+i] += TempA[3] * TempB[4]; + C[5+8*n+i] += TempA[3] * TempB[5]; + C[6+8*n+i] += TempA[3] * TempB[6]; + C[7+8*n+i] += TempA[3] * TempB[7]; + + + TempB[0] = B[(4+8*m)*lda+0+8*n]; + TempB[1] = B[(4+8*m)*lda+1+8*n]; + TempB[2] = B[(4+8*m)*lda+2+8*n]; + TempB[3] = B[(4+8*m)*lda+3+8*n]; + TempB[4] = B[(4+8*m)*lda+4+8*n]; + TempB[5] = B[(4+8*m)*lda+5+8*n]; + TempB[6] = B[(4+8*m)*lda+6+8*n]; + TempB[7] = B[(4+8*m)*lda+7+8*n]; + + C[0+8*n+i] += TempA[4] * TempB[0]; + C[1+8*n+i] += TempA[4] * TempB[1]; + C[2+8*n+i] += TempA[4] * TempB[2]; + C[3+8*n+i] += TempA[4] * TempB[3]; + C[4+8*n+i] += TempA[4] * TempB[4]; + C[5+8*n+i] += TempA[4] * TempB[5]; + C[6+8*n+i] += TempA[4] * TempB[6]; + C[7+8*n+i] += TempA[4] * TempB[7]; + + + + TempB[0] = B[(5+8*m)*lda+0+8*n]; + TempB[1] = B[(5+8*m)*lda+1+8*n]; + TempB[2] = B[(5+8*m)*lda+2+8*n]; + TempB[3] = B[(5+8*m)*lda+3+8*n]; + TempB[4] = B[(5+8*m)*lda+4+8*n]; + TempB[5] = B[(5+8*m)*lda+5+8*n]; + TempB[6] = B[(5+8*m)*lda+6+8*n]; + TempB[7] = B[(5+8*m)*lda+7+8*n]; + + C[0+8*n+i] += TempA[5] * TempB[0]; + C[1+8*n+i] += TempA[5] * TempB[1]; + C[2+8*n+i] += TempA[5] * TempB[2]; + C[3+8*n+i] += TempA[5] * TempB[3]; + C[4+8*n+i] += TempA[5] * TempB[4]; + C[5+8*n+i] += TempA[5] * TempB[5]; + C[6+8*n+i] += TempA[5] * TempB[6]; + C[7+8*n+i] += TempA[5] * TempB[7]; + + + + TempB[0] = B[(6+8*m)*lda+0+8*n]; + TempB[1] = B[(6+8*m)*lda+1+8*n]; + TempB[2] = B[(6+8*m)*lda+2+8*n]; + TempB[3] = B[(6+8*m)*lda+3+8*n]; + TempB[4] = B[(6+8*m)*lda+4+8*n]; + TempB[5] = B[(6+8*m)*lda+5+8*n]; + TempB[6] = B[(6+8*m)*lda+6+8*n]; + TempB[7] = B[(6+8*m)*lda+7+8*n]; + + C[0+8*n+i] += TempA[6] * TempB[0]; + C[1+8*n+i] += TempA[6] * TempB[1]; + C[2+8*n+i] += TempA[6] * TempB[2]; + C[3+8*n+i] += TempA[6] * TempB[3]; + C[4+8*n+i] += TempA[6] * TempB[4]; + C[5+8*n+i] += TempA[6] * TempB[5]; + C[6+8*n+i] += TempA[6] * TempB[6]; + C[7+8*n+i] += TempA[6] * TempB[7]; + + + TempB[0] = B[(7+8*m)*lda+0+8*n]; + TempB[1] = B[(7+8*m)*lda+1+8*n]; + TempB[2] = B[(7+8*m)*lda+2+8*n]; + TempB[3] = B[(7+8*m)*lda+3+8*n]; + TempB[4] = B[(7+8*m)*lda+4+8*n]; + TempB[5] = B[(7+8*m)*lda+5+8*n]; + TempB[6] = B[(7+8*m)*lda+6+8*n]; + TempB[7] = B[(7+8*m)*lda+7+8*n]; + + C[0+8*n+i] += TempA[7] * TempB[0]; + C[1+8*n+i] += TempA[7] * TempB[1]; + C[2+8*n+i] += TempA[7] * TempB[2]; + C[3+8*n+i] += TempA[7] * TempB[3]; + C[4+8*n+i] += TempA[7] * TempB[4]; + C[5+8*n+i] += TempA[7] * TempB[5]; + C[6+8*n+i] += TempA[7] * TempB[6]; + C[7+8*n+i] += TempA[7] * TempB[7]; + } + + } + } + } + + */ + //-------------------------------------------------------------version2.2, optimize k. from 4 instead of 8 like v2.1, random failing on MI, unknown reason, MSI,350K, take off each inner loop for core 0 260k, both cores 134k + //-------------------------------------------------------------try false sharing for core 0, 136k. + /* + static __thread int j, m, n; + static __thread data_t TempA[4]; + static __thread data_t TempB[4]; + + if(coreid == 1) + { + for ( j = 1; j < lda; j+=2 ) + { + for ( m = 0; m < 8; m++ ) + { + TempA[0] = A[j*lda+0+4*m]; + TempA[1] = A[j*lda+1+4*m]; + TempA[2] = A[j*lda+2+4*m]; + TempA[3] = A[j*lda+3+4*m]; + + for( n = 0; n < 8; n++) + { + + TempB[0] = B[(0+4*m)*lda+0+4*n]; + TempB[1] = B[(0+4*m)*lda+1+4*n]; + TempB[2] = B[(0+4*m)*lda+2+4*n]; + TempB[3] = B[(0+4*m)*lda+3+4*n]; + + + C[0+4*n+j*lda] += TempA[0] * TempB[0]; + C[1+4*n+j*lda] += TempA[0] * TempB[1]; + C[2+4*n+j*lda] += TempA[0] * TempB[2]; + C[3+4*n+j*lda] += TempA[0] * TempB[3]; + + + + + + TempB[0] = B[(1+4*m)*lda+0+4*n]; + TempB[1] = B[(1+4*m)*lda+1+4*n]; + TempB[2] = B[(1+4*m)*lda+2+4*n]; + TempB[3] = B[(1+4*m)*lda+3+4*n]; + + + C[0+4*n+j*lda] += TempA[1] * TempB[0]; + C[1+4*n+j*lda] += TempA[1] * TempB[1]; + C[2+4*n+j*lda] += TempA[1] * TempB[2]; + C[3+4*n+j*lda] += TempA[1] * TempB[3]; + + + + TempB[0] = B[(2+4*m)*lda+0+4*n]; + TempB[1] = B[(2+4*m)*lda+1+4*n]; + TempB[2] = B[(2+4*m)*lda+2+4*n]; + TempB[3] = B[(2+4*m)*lda+3+4*n]; + + + C[0+4*n+j*lda] += TempA[2] * TempB[0]; + C[1+4*n+j*lda] += TempA[2] * TempB[1]; + C[2+4*n+j*lda] += TempA[2] * TempB[2]; + C[3+4*n+j*lda] += TempA[2] * TempB[3]; + + + + + TempB[0] = B[(3+4*m)*lda+0+4*n]; + TempB[1] = B[(3+4*m)*lda+1+4*n]; + TempB[2] = B[(3+4*m)*lda+2+4*n]; + TempB[3] = B[(3+4*m)*lda+3+4*n]; + + + C[0+4*n+j*lda] += TempA[3] * TempB[0]; + C[1+4*n+j*lda] += TempA[3] * TempB[1]; + C[2+4*n+j*lda] += TempA[3] * TempB[2]; + C[3+4*n+j*lda] += TempA[3] * TempB[3]; + + + } + } + } + } + if(coreid == 0) + { + for ( j = 0; j < lda; j+=2 ) + { + for ( m = 0; m < 8; m++ ) + { + TempA[0] = A[j*lda+0+4*m]; + TempA[1] = A[j*lda+1+4*m]; + TempA[2] = A[j*lda+2+4*m]; + TempA[3] = A[j*lda+3+4*m]; + + for( n = 0; n < 8; n++) + { + + + + + + + + TempB[0] = B[(1+4*m)*lda+0+4*n]; + TempB[1] = B[(1+4*m)*lda+1+4*n]; + TempB[2] = B[(1+4*m)*lda+2+4*n]; + TempB[3] = B[(1+4*m)*lda+3+4*n]; + + + C[0+4*n+j*lda] += TempA[1] * TempB[0]; + C[1+4*n+j*lda] += TempA[1] * TempB[1]; + C[2+4*n+j*lda] += TempA[1] * TempB[2]; + C[3+4*n+j*lda] += TempA[1] * TempB[3]; + + + + TempB[0] = B[(2+4*m)*lda+0+4*n]; + TempB[1] = B[(2+4*m)*lda+1+4*n]; + TempB[2] = B[(2+4*m)*lda+2+4*n]; + TempB[3] = B[(2+4*m)*lda+3+4*n]; + + + C[0+4*n+j*lda] += TempA[2] * TempB[0]; + C[1+4*n+j*lda] += TempA[2] * TempB[1]; + C[2+4*n+j*lda] += TempA[2] * TempB[2]; + C[3+4*n+j*lda] += TempA[2] * TempB[3]; + + + + + TempB[0] = B[(3+4*m)*lda+0+4*n]; + TempB[1] = B[(3+4*m)*lda+1+4*n]; + TempB[2] = B[(3+4*m)*lda+2+4*n]; + TempB[3] = B[(3+4*m)*lda+3+4*n]; + + + C[0+4*n+j*lda] += TempA[3] * TempB[0]; + C[1+4*n+j*lda] += TempA[3] * TempB[1]; + C[2+4*n+j*lda] += TempA[3] * TempB[2]; + C[3+4*n+j*lda] += TempA[3] * TempB[3]; + + TempB[0] = B[(0+4*m)*lda+0+4*n]; + TempB[1] = B[(0+4*m)*lda+1+4*n]; + TempB[2] = B[(0+4*m)*lda+2+4*n]; + TempB[3] = B[(0+4*m)*lda+3+4*n]; + + + C[0+4*n+j*lda] += TempA[0] * TempB[0]; + C[1+4*n+j*lda] += TempA[0] * TempB[1]; + C[2+4*n+j*lda] += TempA[0] * TempB[2]; + C[3+4*n+j*lda] += TempA[0] * TempB[3]; + + + } + } + } + } + */ + + + + //-------------------------------------------------------------version2.3, read 8 elements in B at one time. make k to 2. 150k mi 128k msi. worse than v2.0 + /* + static __thread int i, j, k, m, n; + static __thread data_t TempA[2]; + static __thread data_t TempB[8]; + + if(coreid == 0) + { + for ( j = 0; j < lda; j+=2 ) + { + for ( m = 0; m < 16; m++ ) + { + TempA[0] = A[j*lda + 0 + 2*m]; + TempA[1] = A[j*lda + 1 + 2*m]; + for( n = 0; n < 4; n++) + { + + TempB[0] = B[2*m*lda+0+8*n]; + TempB[1] = B[2*m*lda+1+8*n]; + TempB[2] = B[2*m*lda+2+8*n]; + TempB[3] = B[2*m*lda+3+8*n]; + TempB[4] = B[2*m*lda+4+8*n]; + TempB[5] = B[2*m*lda+5+8*n]; + TempB[6] = B[2*m*lda+6+8*n]; + TempB[7] = B[2*m*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA[0] * TempB[0]; + C[1+8*n+j*lda] += TempA[0] * TempB[1]; + C[2+8*n+j*lda] += TempA[0] * TempB[2]; + C[3+8*n+j*lda] += TempA[0] * TempB[3]; + C[4+8*n+j*lda] += TempA[0] * TempB[4]; + C[5+8*n+j*lda] += TempA[0] * TempB[5]; + C[6+8*n+j*lda] += TempA[0] * TempB[6]; + C[7+8*n+j*lda] += TempA[0] * TempB[7]; + + TempB[0] = B[(1+2*m)*lda+0+8*n]; + TempB[1] = B[(1+2*m)*lda+1+8*n]; + TempB[2] = B[(1+2*m)*lda+2+8*n]; + TempB[3] = B[(1+2*m)*lda+3+8*n]; + TempB[4] = B[(1+2*m)*lda+4+8*n]; + TempB[5] = B[(1+2*m)*lda+5+8*n]; + TempB[6] = B[(1+2*m)*lda+6+8*n]; + TempB[7] = B[(1+2*m)*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA[1] * TempB[0]; + C[1+8*n+j*lda] += TempA[1] * TempB[1]; + C[2+8*n+j*lda] += TempA[1] * TempB[2]; + C[3+8*n+j*lda] += TempA[1] * TempB[3]; + C[4+8*n+j*lda] += TempA[1] * TempB[4]; + C[5+8*n+j*lda] += TempA[1] * TempB[5]; + C[6+8*n+j*lda] += TempA[1] * TempB[6]; + C[7+8*n+j*lda] += TempA[1] * TempB[7]; + + } + + } + } + } + + if(coreid == 1) + { + for ( j = 1; j < lda; j+=2 ) + { + for ( m = 0; m < 16; m++ ) + { + TempA[0] = A[j*lda + 0 + 2*m]; + TempA[1] = A[j*lda + 1 + 2*m]; + for( n = 0; n < 4; n++) + { + + TempB[0] = B[2*m*lda+0+8*n]; + TempB[1] = B[2*m*lda+1+8*n]; + TempB[2] = B[2*m*lda+2+8*n]; + TempB[3] = B[2*m*lda+3+8*n]; + TempB[4] = B[2*m*lda+4+8*n]; + TempB[5] = B[2*m*lda+5+8*n]; + TempB[6] = B[2*m*lda+6+8*n]; + TempB[7] = B[2*m*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA[0] * TempB[0]; + C[1+8*n+j*lda] += TempA[0] * TempB[1]; + C[2+8*n+j*lda] += TempA[0] * TempB[2]; + C[3+8*n+j*lda] += TempA[0] * TempB[3]; + C[4+8*n+j*lda] += TempA[0] * TempB[4]; + C[5+8*n+j*lda] += TempA[0] * TempB[5]; + C[6+8*n+j*lda] += TempA[0] * TempB[6]; + C[7+8*n+j*lda] += TempA[0] * TempB[7]; + + TempB[0] = B[(1+2*m)*lda+0+8*n]; + TempB[1] = B[(1+2*m)*lda+1+8*n]; + TempB[2] = B[(1+2*m)*lda+2+8*n]; + TempB[3] = B[(1+2*m)*lda+3+8*n]; + TempB[4] = B[(1+2*m)*lda+4+8*n]; + TempB[5] = B[(1+2*m)*lda+5+8*n]; + TempB[6] = B[(1+2*m)*lda+6+8*n]; + TempB[7] = B[(1+2*m)*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA[1] * TempB[0]; + C[1+8*n+j*lda] += TempA[1] * TempB[1]; + C[2+8*n+j*lda] += TempA[1] * TempB[2]; + C[3+8*n+j*lda] += TempA[1] * TempB[3]; + C[4+8*n+j*lda] += TempA[1] * TempB[4]; + C[5+8*n+j*lda] += TempA[1] * TempB[5]; + C[6+8*n+j*lda] += TempA[1] * TempB[6]; + C[7+8*n+j*lda] += TempA[1] * TempB[7]; + + } + + } + } + } + */ + //-------------------------------------------------------------version2.4, read 4 170k and 16 140k, error because not enough space elements in B at one time. + /* + static __thread int i, j, k, m, n; + static __thread data_t TempA; + static __thread data_t TempB[16]; + + if(coreid == 0) + { + for ( j = 0; j < lda; j+=2 ) + { + for ( k = 0; k < lda; k++ ) + { + TempA = A[j*lda + k]; + for( n = 0; n < 2; n++) + { + + TempB[0] = B[k*lda+0+16*n]; + TempB[1] = B[k*lda+1+16*n]; + TempB[2] = B[k*lda+2+16*n]; + TempB[3] = B[k*lda+3+16*n]; + TempB[4] = B[k*lda+4+16*n]; + TempB[5] = B[k*lda+5+16*n]; + TempB[6] = B[k*lda+6+16*n]; + TempB[7] = B[k*lda+7+16*n]; + TempB[8] = B[k*lda+8+16*n]; + TempB[9] = B[k*lda+9+16*n]; + TempB[10] = B[k*lda+10+16*n]; + TempB[11] = B[k*lda+11+16*n]; + TempB[12] = B[k*lda+12+16*n]; + TempB[13] = B[k*lda+13+16*n]; + TempB[14] = B[k*lda+14+16*n]; + TempB[15] = B[k*lda+15+16*n]; + + + C[0+16*n+j*lda] += TempA * TempB[0]; + C[1+16*n+j*lda] += TempA * TempB[1]; + C[2+16*n+j*lda] += TempA * TempB[2]; + C[3+16*n+j*lda] += TempA * TempB[3]; + C[4+16*n+j*lda] += TempA * TempB[4]; + C[5+16*n+j*lda] += TempA * TempB[5]; + C[6+16*n+j*lda] += TempA * TempB[6]; + C[7+16*n+j*lda] += TempA * TempB[7]; + C[8+16*n+j*lda] += TempA * TempB[8]; + C[9+16*n+j*lda] += TempA * TempB[9]; + C[10+16*n+j*lda] += TempA * TempB[10]; + C[11+16*n+j*lda] += TempA * TempB[11]; + C[12+16*n+j*lda] += TempA * TempB[12]; + C[13+16*n+j*lda] += TempA * TempB[13]; + C[14+16*n+j*lda] += TempA * TempB[14]; + C[15+16*n+j*lda] += TempA * TempB[15]; + + + + } + + } + } + } + if(coreid == 1) + { + for ( j = 1; j < lda; j+=2 ) + { + for ( k = 0; k < lda; k++ ) + { + TempA = A[j*lda + k]; + for( n = 0; n < 2; n++) + { + + TempB[0] = B[k*lda+0+16*n]; + TempB[1] = B[k*lda+1+16*n]; + TempB[2] = B[k*lda+2+16*n]; + TempB[3] = B[k*lda+3+16*n]; + TempB[4] = B[k*lda+4+16*n]; + TempB[5] = B[k*lda+5+16*n]; + TempB[6] = B[k*lda+6+16*n]; + TempB[7] = B[k*lda+7+16*n]; + TempB[8] = B[k*lda+8+16*n]; + TempB[9] = B[k*lda+9+16*n]; + TempB[10] = B[k*lda+10+16*n]; + TempB[11] = B[k*lda+11+16*n]; + TempB[12] = B[k*lda+12+16*n]; + TempB[13] = B[k*lda+13+16*n]; + TempB[14] = B[k*lda+14+16*n]; + TempB[15] = B[k*lda+15+16*n]; + + + C[0+16*n+j*lda] += TempA * TempB[0]; + C[1+16*n+j*lda] += TempA * TempB[1]; + C[2+16*n+j*lda] += TempA * TempB[2]; + C[3+16*n+j*lda] += TempA * TempB[3]; + C[4+16*n+j*lda] += TempA * TempB[4]; + C[5+16*n+j*lda] += TempA * TempB[5]; + C[6+16*n+j*lda] += TempA * TempB[6]; + C[7+16*n+j*lda] += TempA * TempB[7]; + C[8+16*n+j*lda] += TempA * TempB[8]; + C[9+16*n+j*lda] += TempA * TempB[9]; + C[10+16*n+j*lda] += TempA * TempB[10]; + C[11+16*n+j*lda] += TempA * TempB[11]; + C[12+16*n+j*lda] += TempA * TempB[12]; + C[13+16*n+j*lda] += TempA * TempB[13]; + C[14+16*n+j*lda] += TempA * TempB[14]; + C[15+16*n+j*lda] += TempA * TempB[15]; + + + + } + + } + } + } + + */ + //-------------------------------------------------------------version2.5, read 10 elements in B at one time. has corner cases. Turns out it hangs. + /* + static __thread int j, k, n; + static __thread data_t TempA; + static __thread data_t TempB[10]; + + if(coreid == 0) + { + for ( j = 0; j < lda; j+=2 ) + { + for ( k = 0; k < lda; k++ ) + { + TempA = A[j*lda + k]; + for( n = 0; n < 3; n++) + { + TempB[0] = B[k*lda+0+10*n]; + TempB[1] = B[k*lda+1+10*n]; + TempB[2] = B[k*lda+2+10*n]; + TempB[3] = B[k*lda+3+10*n]; + TempB[4] = B[k*lda+4+10*n]; + TempB[5] = B[k*lda+5+10*n]; + TempB[6] = B[k*lda+6+10*n]; + TempB[7] = B[k*lda+7+10*n]; + TempB[8] = B[k*lda+8+10*n]; + TempB[9] = B[k*lda+9+10*n]; + + C[0+10*n+j*lda] += TempA * TempB[0]; + C[1+10*n+j*lda] += TempA * TempB[1]; + C[2+10*n+j*lda] += TempA * TempB[2]; + C[3+10*n+j*lda] += TempA * TempB[3]; + C[4+10*n+j*lda] += TempA * TempB[4]; + C[5+10*n+j*lda] += TempA * TempB[5]; + C[6+10*n+j*lda] += TempA * TempB[6]; + C[7+10*n+j*lda] += TempA * TempB[7]; + C[8+10*n+j*lda] += TempA * TempB[8]; + C[9+10*n+j*lda] += TempA * TempB[9]; + } + TempB[0] = B[k*lda+30]; + TempB[1] = B[k*lda+31]; + C[30+j*lda] += TempA * TempB[0]; + C[31+j*lda] += TempA * TempB[1]; + } + } + } + if(coreid == 1) + { + for ( j = 1; j < lda; j+=2 ) + { + for ( k = 0; k < lda; k++ ) + { + TempA = A[j*lda + k]; + for( n = 0; n < 3; n++) + { + TempB[0] = B[k*lda+0+10*n]; + TempB[1] = B[k*lda+1+10*n]; + TempB[2] = B[k*lda+2+10*n]; + TempB[3] = B[k*lda+3+10*n]; + TempB[4] = B[k*lda+4+10*n]; + TempB[5] = B[k*lda+5+10*n]; + TempB[6] = B[k*lda+6+10*n]; + TempB[7] = B[k*lda+7+10*n]; + TempB[8] = B[k*lda+8+10*n]; + TempB[9] = B[k*lda+9+10*n]; + + C[0+10*n+j*lda] += TempA * TempB[0]; + C[1+10*n+j*lda] += TempA * TempB[1]; + C[2+10*n+j*lda] += TempA * TempB[2]; + C[3+10*n+j*lda] += TempA * TempB[3]; + C[4+10*n+j*lda] += TempA * TempB[4]; + C[5+10*n+j*lda] += TempA * TempB[5]; + C[6+10*n+j*lda] += TempA * TempB[6]; + C[7+10*n+j*lda] += TempA * TempB[7]; + C[8+10*n+j*lda] += TempA * TempB[8]; + C[9+10*n+j*lda] += TempA * TempB[9]; + } + TempB[0] = B[k*lda+30]; + TempB[1] = B[k*lda+31]; + C[30+j*lda] += TempA * TempB[0]; + C[31+j*lda] += TempA * TempB[1]; + } + } + } + + */ + + //-------------------------------------------------------------version2.6, optimize 2.0. take off n loop and tried different order of reading B + /* + static __thread int j, k, n; + static __thread data_t TempA; + static __thread data_t TempB[8]; + + if(coreid == 0) + { + for ( j = 0; j < lda; j+=2 ) + { + for ( k = 0; k < lda; k++ ) + { + TempA = A[j*lda + k]; + + TempB[0] = B[k*lda+0]; + TempB[1] = B[k*lda+1]; + TempB[2] = B[k*lda+2]; + TempB[3] = B[k*lda+3]; + TempB[4] = B[k*lda+4]; + TempB[5] = B[k*lda+5]; + TempB[6] = B[k*lda+6]; + TempB[7] = B[k*lda+7]; + + C[0+j*lda] += TempA * TempB[0]; + C[1+j*lda] += TempA * TempB[1]; + C[2+j*lda] += TempA * TempB[2]; + C[3+j*lda] += TempA * TempB[3]; + C[4+j*lda] += TempA * TempB[4]; + C[5+j*lda] += TempA * TempB[5]; + C[6+j*lda] += TempA * TempB[6]; + C[7+j*lda] += TempA * TempB[7]; + + TempB[0] = B[k*lda+8]; + TempB[1] = B[k*lda+9]; + TempB[2] = B[k*lda+10]; + TempB[3] = B[k*lda+11]; + TempB[4] = B[k*lda+12]; + TempB[5] = B[k*lda+13]; + TempB[6] = B[k*lda+14]; + TempB[7] = B[k*lda+15]; + + C[8+j*lda] += TempA * TempB[0]; + C[9+j*lda] += TempA * TempB[1]; + C[10+j*lda] += TempA * TempB[2]; + C[11+j*lda] += TempA * TempB[3]; + C[12+j*lda] += TempA * TempB[4]; + C[13+j*lda] += TempA * TempB[5]; + C[14+j*lda] += TempA * TempB[6]; + C[15+j*lda] += TempA * TempB[7]; + + TempB[0] = B[k*lda+16]; + TempB[1] = B[k*lda+17]; + TempB[2] = B[k*lda+18]; + TempB[3] = B[k*lda+19]; + TempB[4] = B[k*lda+20]; + TempB[5] = B[k*lda+21]; + TempB[6] = B[k*lda+22]; + TempB[7] = B[k*lda+23]; + + C[16+j*lda] += TempA * TempB[0]; + C[17+j*lda] += TempA * TempB[1]; + C[18+j*lda] += TempA * TempB[2]; + C[19+j*lda] += TempA * TempB[3]; + C[20+j*lda] += TempA * TempB[4]; + C[21+j*lda] += TempA * TempB[5]; + C[22+j*lda] += TempA * TempB[6]; + C[23+j*lda] += TempA * TempB[7]; + + TempB[0] = B[k*lda+24]; + TempB[1] = B[k*lda+25]; + TempB[2] = B[k*lda+26]; + TempB[3] = B[k*lda+27]; + TempB[4] = B[k*lda+28]; + TempB[5] = B[k*lda+29]; + TempB[6] = B[k*lda+30]; + TempB[7] = B[k*lda+31]; + + C[24+j*lda] += TempA * TempB[0]; + C[25+j*lda] += TempA * TempB[1]; + C[26+j*lda] += TempA * TempB[2]; + C[27+j*lda] += TempA * TempB[3]; + C[28+j*lda] += TempA * TempB[4]; + C[29+j*lda] += TempA * TempB[5]; + C[30+j*lda] += TempA * TempB[6]; + C[31+j*lda] += TempA * TempB[7]; + + + + } + } + } + + if(coreid == 1) + { + for ( j = 1; j < lda; j+=2 ) + { + for ( k = 0; k < lda; k++ ) + { + TempA = A[j*lda + k]; + + + TempB[0] = B[k*lda+24]; + TempB[1] = B[k*lda+25]; + TempB[2] = B[k*lda+26]; + TempB[3] = B[k*lda+27]; + TempB[4] = B[k*lda+28]; + TempB[5] = B[k*lda+29]; + TempB[6] = B[k*lda+30]; + TempB[7] = B[k*lda+31]; + + C[24+j*lda] += TempA * TempB[0]; + C[25+j*lda] += TempA * TempB[1]; + C[26+j*lda] += TempA * TempB[2]; + C[27+j*lda] += TempA * TempB[3]; + C[28+j*lda] += TempA * TempB[4]; + C[29+j*lda] += TempA * TempB[5]; + C[30+j*lda] += TempA * TempB[6]; + C[31+j*lda] += TempA * TempB[7]; + + TempB[0] = B[k*lda+0]; + TempB[1] = B[k*lda+1]; + TempB[2] = B[k*lda+2]; + TempB[3] = B[k*lda+3]; + TempB[4] = B[k*lda+4]; + TempB[5] = B[k*lda+5]; + TempB[6] = B[k*lda+6]; + TempB[7] = B[k*lda+7]; + + C[0+j*lda] += TempA * TempB[0]; + C[1+j*lda] += TempA * TempB[1]; + C[2+j*lda] += TempA * TempB[2]; + C[3+j*lda] += TempA * TempB[3]; + C[4+j*lda] += TempA * TempB[4]; + C[5+j*lda] += TempA * TempB[5]; + C[6+j*lda] += TempA * TempB[6]; + C[7+j*lda] += TempA * TempB[7]; + + TempB[0] = B[k*lda+8]; + TempB[1] = B[k*lda+9]; + TempB[2] = B[k*lda+10]; + TempB[3] = B[k*lda+11]; + TempB[4] = B[k*lda+12]; + TempB[5] = B[k*lda+13]; + TempB[6] = B[k*lda+14]; + TempB[7] = B[k*lda+15]; + + C[8+j*lda] += TempA * TempB[0]; + C[9+j*lda] += TempA * TempB[1]; + C[10+j*lda] += TempA * TempB[2]; + C[11+j*lda] += TempA * TempB[3]; + C[12+j*lda] += TempA * TempB[4]; + C[13+j*lda] += TempA * TempB[5]; + C[14+j*lda] += TempA * TempB[6]; + C[15+j*lda] += TempA * TempB[7]; + + TempB[0] = B[k*lda+16]; + TempB[1] = B[k*lda+17]; + TempB[2] = B[k*lda+18]; + TempB[3] = B[k*lda+19]; + TempB[4] = B[k*lda+20]; + TempB[5] = B[k*lda+21]; + TempB[6] = B[k*lda+22]; + TempB[7] = B[k*lda+23]; + + C[16+j*lda] += TempA * TempB[0]; + C[17+j*lda] += TempA * TempB[1]; + C[18+j*lda] += TempA * TempB[2]; + C[19+j*lda] += TempA * TempB[3]; + C[20+j*lda] += TempA * TempB[4]; + C[21+j*lda] += TempA * TempB[5]; + C[22+j*lda] += TempA * TempB[6]; + C[23+j*lda] += TempA * TempB[7]; + + + + + + + } + } + } + */ + //-------------------------------------------------------------version2.7, use m=l*da, i=k*lda,out of stack, only i, MI 150k, only m, MSI 117.9k slower than v2.0 + /* + static __thread int i, j, k, m, n; + static __thread data_t TempA; + static __thread data_t TempB[8]; + + if(coreid == 0) + { + for ( j = 0; j < lda; j+=2 ) + { + m = j * lda; + for ( k = 0; k < lda; k++ ) + { + TempA = A[m+ k]; + for( n = 0; n < 4; n++) + { + + TempB[0] = B[k *lda+0+8*n]; + TempB[1] = B[k *lda+1+8*n]; + TempB[2] = B[k *lda+2+8*n]; + TempB[3] = B[k *lda+3+8*n]; + TempB[4] = B[k *lda+4+8*n]; + TempB[5] = B[k *lda+5+8*n]; + TempB[6] = B[k *lda+6+8*n]; + TempB[7] = B[k *lda+7+8*n]; + + C[0+8*n+m] += TempA * TempB[0]; + C[1+8*n+m] += TempA * TempB[1]; + C[2+8*n+m] += TempA * TempB[2]; + C[3+8*n+m] += TempA * TempB[3]; + C[4+8*n+m] += TempA * TempB[4]; + C[5+8*n+m] += TempA * TempB[5]; + C[6+8*n+m] += TempA * TempB[6]; + C[7+8*n+m] += TempA * TempB[7]; + + } + + } + } + } +if(coreid == 1) + { + for ( j = 1; j < lda; j+=2 ) + { + m = j * lda; + for ( k = 0; k < lda; k++ ) + { + TempA = A[m+ k]; + for( n = 0; n < 4; n++) + { + + TempB[0] = B[k *lda+0+8*n]; + TempB[1] = B[k *lda+1+8*n]; + TempB[2] = B[k *lda+2+8*n]; + TempB[3] = B[k *lda+3+8*n]; + TempB[4] = B[k *lda+4+8*n]; + TempB[5] = B[k *lda+5+8*n]; + TempB[6] = B[k *lda+6+8*n]; + TempB[7] = B[k *lda+7+8*n]; + + C[0+8*n+m] += TempA * TempB[0]; + C[1+8*n+m] += TempA * TempB[1]; + C[2+8*n+m] += TempA * TempB[2]; + C[3+8*n+m] += TempA * TempB[3]; + C[4+8*n+m] += TempA * TempB[4]; + C[5+8*n+m] += TempA * TempB[5]; + C[6+8*n+m] += TempA * TempB[6]; + C[7+8*n+m] += TempA * TempB[7]; + + } + + } + } + } + */ +//-------------------------------------------------------------version2.8 deal with false sharing, MSI,118K vs v2.0 117.0K. MI 147.629K. +/* +static __thread int i, j, k, m, n; + static __thread data_t TempA; + static __thread data_t TempB[8]; + + if(coreid == 0) + { + for ( j = 0; j < lda; j+=2 ) + { + for ( k = 0; k < lda; k++ ) + { + TempA = A[j*lda + k]; + for( n = 0; n < 2; n++) + { + + TempB[0] = B[k*lda+0+16*n]; + TempB[1] = B[k*lda+1+16*n]; + TempB[2] = B[k*lda+2+16*n]; + TempB[3] = B[k*lda+3+16*n]; + TempB[4] = B[k*lda+4+16*n]; + TempB[5] = B[k*lda+5+16*n]; + TempB[6] = B[k*lda+6+16*n]; + TempB[7] = B[k*lda+7+16*n]; + + + + C[0+16*n+j*lda] += TempA * TempB[0]; + C[1+16*n+j*lda] += TempA * TempB[1]; + C[2+16*n+j*lda] += TempA * TempB[2]; + C[3+16*n+j*lda] += TempA * TempB[3]; + C[4+16*n+j*lda] += TempA * TempB[4]; + C[5+16*n+j*lda] += TempA * TempB[5]; + C[6+16*n+j*lda] += TempA * TempB[6]; + C[7+16*n+j*lda] += TempA * TempB[7]; + + TempB[0] = B[k*lda+8+16*n]; + TempB[1] = B[k*lda+9+16*n]; + TempB[2] = B[k*lda+10+16*n]; + TempB[3] = B[k*lda+11+16*n]; + TempB[4] = B[k*lda+12+16*n]; + TempB[5] = B[k*lda+13+16*n]; + TempB[6] = B[k*lda+14+16*n]; + TempB[7] = B[k*lda+15+16*n]; + + C[8+16*n+j*lda] += TempA * TempB[0]; + C[9+16*n+j*lda] += TempA * TempB[1]; + C[10+16*n+j*lda] += TempA * TempB[2]; + C[11+16*n+j*lda] += TempA * TempB[3]; + C[12+16*n+j*lda] += TempA * TempB[4]; + C[13+16*n+j*lda] += TempA * TempB[5]; + C[14+16*n+j*lda] += TempA * TempB[6]; + C[15+16*n+j*lda] += TempA * TempB[7]; + + + + } + + } + } + } + if(coreid == 1) + { + for ( j = 1; j < lda; j+=2 ) + { + for ( k = 0; k < lda; k++ ) + { + TempA = A[j*lda + k]; + for( n = 0; n < 2; n++) + { + + + + TempB[0] = B[k*lda+8+16*n]; + TempB[1] = B[k*lda+9+16*n]; + TempB[2] = B[k*lda+10+16*n]; + TempB[3] = B[k*lda+11+16*n]; + TempB[4] = B[k*lda+12+16*n]; + TempB[5] = B[k*lda+13+16*n]; + TempB[6] = B[k*lda+14+16*n]; + TempB[7] = B[k*lda+15+16*n]; + + C[8+16*n+j*lda] += TempA * TempB[0]; + C[9+16*n+j*lda] += TempA * TempB[1]; + C[10+16*n+j*lda] += TempA * TempB[2]; + C[11+16*n+j*lda] += TempA * TempB[3]; + C[12+16*n+j*lda] += TempA * TempB[4]; + C[13+16*n+j*lda] += TempA * TempB[5]; + C[14+16*n+j*lda] += TempA * TempB[6]; + C[15+16*n+j*lda] += TempA * TempB[7]; + + TempB[0] = B[k*lda+0+16*n]; + TempB[1] = B[k*lda+1+16*n]; + TempB[2] = B[k*lda+2+16*n]; + TempB[3] = B[k*lda+3+16*n]; + TempB[4] = B[k*lda+4+16*n]; + TempB[5] = B[k*lda+5+16*n]; + TempB[6] = B[k*lda+6+16*n]; + TempB[7] = B[k*lda+7+16*n]; + + + + C[0+16*n+j*lda] += TempA * TempB[0]; + C[1+16*n+j*lda] += TempA * TempB[1]; + C[2+16*n+j*lda] += TempA * TempB[2]; + C[3+16*n+j*lda] += TempA * TempB[3]; + C[4+16*n+j*lda] += TempA * TempB[4]; + C[5+16*n+j*lda] += TempA * TempB[5]; + C[6+16*n+j*lda] += TempA * TempB[6]; + C[7+16*n+j*lda] += TempA * TempB[7]; + + + } + + } + } + } + */ + + //----------------------------------------------------------------version 2.11 optmize j,use core 1 j from 0 to 15 MSI 98k i = j*lda + //----------------------------------------------------------------version 2.12 not use i = j *lda MSI 95k + /* + static __thread data_t TempA[8]; + static __thread data_t TempB[8]; + static __thread int j,m,n,i,k; + + if(coreid == 1) + { + for ( j = 16; j < 32; j++ ) + { + + for ( m = 0; m < 4; m++ ) + { + + TempA[0] = A[j*lda+0+8*m]; + TempA[1] = A[j*lda+1+8*m]; + TempA[2] = A[j*lda+2+8*m]; + TempA[3] = A[j*lda+3+8*m]; + TempA[4] = A[j*lda+4+8*m]; + TempA[5] = A[j*lda+5+8*m]; + TempA[6] = A[j*lda+6+8*m]; + TempA[7] = A[j*lda+7+8*m]; + + for( n = 0; n < 4; n++) + { + + TempB[0] = B[(0+8*m)*lda+0+8*n]; + TempB[1] = B[(0+8*m)*lda+1+8*n]; + TempB[2] = B[(0+8*m)*lda+2+8*n]; + TempB[3] = B[(0+8*m)*lda+3+8*n]; + TempB[4] = B[(0+8*m)*lda+4+8*n]; + TempB[5] = B[(0+8*m)*lda+5+8*n]; + TempB[6] = B[(0+8*m)*lda+6+8*n]; + TempB[7] = B[(0+8*m)*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA[0] * TempB[0]; + C[1+8*n+j*lda] += TempA[0] * TempB[1]; + C[2+8*n+j*lda] += TempA[0] * TempB[2]; + C[3+8*n+j*lda] += TempA[0] * TempB[3]; + C[4+8*n+j*lda] += TempA[0] * TempB[4]; + C[5+8*n+j*lda] += TempA[0] * TempB[5]; + C[6+8*n+j*lda] += TempA[0] * TempB[6]; + C[7+8*n+j*lda] += TempA[0] * TempB[7]; + + + + TempB[0] = B[(1+8*m)*lda+0+8*n]; + TempB[1] = B[(1+8*m)*lda+1+8*n]; + TempB[2] = B[(1+8*m)*lda+2+8*n]; + TempB[3] = B[(1+8*m)*lda+3+8*n]; + TempB[4] = B[(1+8*m)*lda+4+8*n]; + TempB[5] = B[(1+8*m)*lda+5+8*n]; + TempB[6] = B[(1+8*m)*lda+6+8*n]; + TempB[7] = B[(1+8*m)*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA[1] * TempB[0]; + C[1+8*n+j*lda] += TempA[1] * TempB[1]; + C[2+8*n+j*lda] += TempA[1] * TempB[2]; + C[3+8*n+j*lda] += TempA[1] * TempB[3]; + C[4+8*n+j*lda] += TempA[1] * TempB[4]; + C[5+8*n+j*lda] += TempA[1] * TempB[5]; + C[6+8*n+j*lda] += TempA[1] * TempB[6]; + C[7+8*n+j*lda] += TempA[1] * TempB[7]; + + + + TempB[0] = B[(2+8*m)*lda+0+8*n]; + TempB[1] = B[(2+8*m)*lda+1+8*n]; + TempB[2] = B[(2+8*m)*lda+2+8*n]; + TempB[3] = B[(2+8*m)*lda+3+8*n]; + TempB[4] = B[(2+8*m)*lda+4+8*n]; + TempB[5] = B[(2+8*m)*lda+5+8*n]; + TempB[6] = B[(2+8*m)*lda+6+8*n]; + TempB[7] = B[(2+8*m)*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA[2] * TempB[0]; + C[1+8*n+j*lda] += TempA[2] * TempB[1]; + C[2+8*n+j*lda] += TempA[2] * TempB[2]; + C[3+8*n+j*lda] += TempA[2] * TempB[3]; + C[4+8*n+j*lda] += TempA[2] * TempB[4]; + C[5+8*n+j*lda] += TempA[2] * TempB[5]; + C[6+8*n+j*lda] += TempA[2] * TempB[6]; + C[7+8*n+j*lda] += TempA[2] * TempB[7]; + + + + TempB[0] = B[(3+8*m)*lda+0+8*n]; + TempB[1] = B[(3+8*m)*lda+1+8*n]; + TempB[2] = B[(3+8*m)*lda+2+8*n]; + TempB[3] = B[(3+8*m)*lda+3+8*n]; + TempB[4] = B[(3+8*m)*lda+4+8*n]; + TempB[5] = B[(3+8*m)*lda+5+8*n]; + TempB[6] = B[(3+8*m)*lda+6+8*n]; + TempB[7] = B[(3+8*m)*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA[3] * TempB[0]; + C[1+8*n+j*lda] += TempA[3] * TempB[1]; + C[2+8*n+j*lda] += TempA[3] * TempB[2]; + C[3+8*n+j*lda] += TempA[3] * TempB[3]; + C[4+8*n+j*lda] += TempA[3] * TempB[4]; + C[5+8*n+j*lda] += TempA[3] * TempB[5]; + C[6+8*n+j*lda] += TempA[3] * TempB[6]; + C[7+8*n+j*lda] += TempA[3] * TempB[7]; + + + TempB[0] = B[(4+8*m)*lda+0+8*n]; + TempB[1] = B[(4+8*m)*lda+1+8*n]; + TempB[2] = B[(4+8*m)*lda+2+8*n]; + TempB[3] = B[(4+8*m)*lda+3+8*n]; + TempB[4] = B[(4+8*m)*lda+4+8*n]; + TempB[5] = B[(4+8*m)*lda+5+8*n]; + TempB[6] = B[(4+8*m)*lda+6+8*n]; + TempB[7] = B[(4+8*m)*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA[4] * TempB[0]; + C[1+8*n+j*lda] += TempA[4] * TempB[1]; + C[2+8*n+j*lda] += TempA[4] * TempB[2]; + C[3+8*n+j*lda] += TempA[4] * TempB[3]; + C[4+8*n+j*lda] += TempA[4] * TempB[4]; + C[5+8*n+j*lda] += TempA[4] * TempB[5]; + C[6+8*n+j*lda] += TempA[4] * TempB[6]; + C[7+8*n+j*lda] += TempA[4] * TempB[7]; + + + + TempB[0] = B[(5+8*m)*lda+0+8*n]; + TempB[1] = B[(5+8*m)*lda+1+8*n]; + TempB[2] = B[(5+8*m)*lda+2+8*n]; + TempB[3] = B[(5+8*m)*lda+3+8*n]; + TempB[4] = B[(5+8*m)*lda+4+8*n]; + TempB[5] = B[(5+8*m)*lda+5+8*n]; + TempB[6] = B[(5+8*m)*lda+6+8*n]; + TempB[7] = B[(5+8*m)*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA[5] * TempB[0]; + C[1+8*n+j*lda] += TempA[5] * TempB[1]; + C[2+8*n+j*lda] += TempA[5] * TempB[2]; + C[3+8*n+j*lda] += TempA[5] * TempB[3]; + C[4+8*n+j*lda] += TempA[5] * TempB[4]; + C[5+8*n+j*lda] += TempA[5] * TempB[5]; + C[6+8*n+j*lda] += TempA[5] * TempB[6]; + C[7+8*n+j*lda] += TempA[5] * TempB[7]; + + + + TempB[0] = B[(6+8*m)*lda+0+8*n]; + TempB[1] = B[(6+8*m)*lda+1+8*n]; + TempB[2] = B[(6+8*m)*lda+2+8*n]; + TempB[3] = B[(6+8*m)*lda+3+8*n]; + TempB[4] = B[(6+8*m)*lda+4+8*n]; + TempB[5] = B[(6+8*m)*lda+5+8*n]; + TempB[6] = B[(6+8*m)*lda+6+8*n]; + TempB[7] = B[(6+8*m)*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA[6] * TempB[0]; + C[1+8*n+j*lda] += TempA[6] * TempB[1]; + C[2+8*n+j*lda] += TempA[6] * TempB[2]; + C[3+8*n+j*lda] += TempA[6] * TempB[3]; + C[4+8*n+j*lda] += TempA[6] * TempB[4]; + C[5+8*n+j*lda] += TempA[6] * TempB[5]; + C[6+8*n+j*lda] += TempA[6] * TempB[6]; + C[7+8*n+j*lda] += TempA[6] * TempB[7]; + + + TempB[0] = B[(7+8*m)*lda+0+8*n]; + TempB[1] = B[(7+8*m)*lda+1+8*n]; + TempB[2] = B[(7+8*m)*lda+2+8*n]; + TempB[3] = B[(7+8*m)*lda+3+8*n]; + TempB[4] = B[(7+8*m)*lda+4+8*n]; + TempB[5] = B[(7+8*m)*lda+5+8*n]; + TempB[6] = B[(7+8*m)*lda+6+8*n]; + TempB[7] = B[(7+8*m)*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA[7] * TempB[0]; + C[1+8*n+j*lda] += TempA[7] * TempB[1]; + C[2+8*n+j*lda] += TempA[7] * TempB[2]; + C[3+8*n+j*lda] += TempA[7] * TempB[3]; + C[4+8*n+j*lda] += TempA[7] * TempB[4]; + C[5+8*n+j*lda] += TempA[7] * TempB[5]; + C[6+8*n+j*lda] += TempA[7] * TempB[6]; + C[7+8*n+j*lda] += TempA[7] * TempB[7]; + } + + } + } + } + if(coreid ==0) + { + for ( j = 0; j < 16; j++ ) + { + + for ( m = 0; m < 4; m++ ) + { + + TempA[0] = A[j*lda+0+8*m]; + TempA[1] = A[j*lda+1+8*m]; + TempA[2] = A[j*lda+2+8*m]; + TempA[3] = A[j*lda+3+8*m]; + TempA[4] = A[j*lda+4+8*m]; + TempA[5] = A[j*lda+5+8*m]; + TempA[6] = A[j*lda+6+8*m]; + TempA[7] = A[j*lda+7+8*m]; + + for( n = 0; n < 4; n++) + { + + TempB[0] = B[(0+8*m)*lda+0+8*n]; + TempB[1] = B[(0+8*m)*lda+1+8*n]; + TempB[2] = B[(0+8*m)*lda+2+8*n]; + TempB[3] = B[(0+8*m)*lda+3+8*n]; + TempB[4] = B[(0+8*m)*lda+4+8*n]; + TempB[5] = B[(0+8*m)*lda+5+8*n]; + TempB[6] = B[(0+8*m)*lda+6+8*n]; + TempB[7] = B[(0+8*m)*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA[0] * TempB[0]; + C[1+8*n+j*lda] += TempA[0] * TempB[1]; + C[2+8*n+j*lda] += TempA[0] * TempB[2]; + C[3+8*n+j*lda] += TempA[0] * TempB[3]; + C[4+8*n+j*lda] += TempA[0] * TempB[4]; + C[5+8*n+j*lda] += TempA[0] * TempB[5]; + C[6+8*n+j*lda] += TempA[0] * TempB[6]; + C[7+8*n+j*lda] += TempA[0] * TempB[7]; + + + + TempB[0] = B[(1+8*m)*lda+0+8*n]; + TempB[1] = B[(1+8*m)*lda+1+8*n]; + TempB[2] = B[(1+8*m)*lda+2+8*n]; + TempB[3] = B[(1+8*m)*lda+3+8*n]; + TempB[4] = B[(1+8*m)*lda+4+8*n]; + TempB[5] = B[(1+8*m)*lda+5+8*n]; + TempB[6] = B[(1+8*m)*lda+6+8*n]; + TempB[7] = B[(1+8*m)*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA[1] * TempB[0]; + C[1+8*n+j*lda] += TempA[1] * TempB[1]; + C[2+8*n+j*lda] += TempA[1] * TempB[2]; + C[3+8*n+j*lda] += TempA[1] * TempB[3]; + C[4+8*n+j*lda] += TempA[1] * TempB[4]; + C[5+8*n+j*lda] += TempA[1] * TempB[5]; + C[6+8*n+j*lda] += TempA[1] * TempB[6]; + C[7+8*n+j*lda] += TempA[1] * TempB[7]; + + + + TempB[0] = B[(2+8*m)*lda+0+8*n]; + TempB[1] = B[(2+8*m)*lda+1+8*n]; + TempB[2] = B[(2+8*m)*lda+2+8*n]; + TempB[3] = B[(2+8*m)*lda+3+8*n]; + TempB[4] = B[(2+8*m)*lda+4+8*n]; + TempB[5] = B[(2+8*m)*lda+5+8*n]; + TempB[6] = B[(2+8*m)*lda+6+8*n]; + TempB[7] = B[(2+8*m)*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA[2] * TempB[0]; + C[1+8*n+j*lda] += TempA[2] * TempB[1]; + C[2+8*n+j*lda] += TempA[2] * TempB[2]; + C[3+8*n+j*lda] += TempA[2] * TempB[3]; + C[4+8*n+j*lda] += TempA[2] * TempB[4]; + C[5+8*n+j*lda] += TempA[2] * TempB[5]; + C[6+8*n+j*lda] += TempA[2] * TempB[6]; + C[7+8*n+j*lda] += TempA[2] * TempB[7]; + + + + TempB[0] = B[(3+8*m)*lda+0+8*n]; + TempB[1] = B[(3+8*m)*lda+1+8*n]; + TempB[2] = B[(3+8*m)*lda+2+8*n]; + TempB[3] = B[(3+8*m)*lda+3+8*n]; + TempB[4] = B[(3+8*m)*lda+4+8*n]; + TempB[5] = B[(3+8*m)*lda+5+8*n]; + TempB[6] = B[(3+8*m)*lda+6+8*n]; + TempB[7] = B[(3+8*m)*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA[3] * TempB[0]; + C[1+8*n+j*lda] += TempA[3] * TempB[1]; + C[2+8*n+j*lda] += TempA[3] * TempB[2]; + C[3+8*n+j*lda] += TempA[3] * TempB[3]; + C[4+8*n+j*lda] += TempA[3] * TempB[4]; + C[5+8*n+j*lda] += TempA[3] * TempB[5]; + C[6+8*n+j*lda] += TempA[3] * TempB[6]; + C[7+8*n+j*lda] += TempA[3] * TempB[7]; + + + TempB[0] = B[(4+8*m)*lda+0+8*n]; + TempB[1] = B[(4+8*m)*lda+1+8*n]; + TempB[2] = B[(4+8*m)*lda+2+8*n]; + TempB[3] = B[(4+8*m)*lda+3+8*n]; + TempB[4] = B[(4+8*m)*lda+4+8*n]; + TempB[5] = B[(4+8*m)*lda+5+8*n]; + TempB[6] = B[(4+8*m)*lda+6+8*n]; + TempB[7] = B[(4+8*m)*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA[4] * TempB[0]; + C[1+8*n+j*lda] += TempA[4] * TempB[1]; + C[2+8*n+j*lda] += TempA[4] * TempB[2]; + C[3+8*n+j*lda] += TempA[4] * TempB[3]; + C[4+8*n+j*lda] += TempA[4] * TempB[4]; + C[5+8*n+j*lda] += TempA[4] * TempB[5]; + C[6+8*n+j*lda] += TempA[4] * TempB[6]; + C[7+8*n+j*lda] += TempA[4] * TempB[7]; + + + + TempB[0] = B[(5+8*m)*lda+0+8*n]; + TempB[1] = B[(5+8*m)*lda+1+8*n]; + TempB[2] = B[(5+8*m)*lda+2+8*n]; + TempB[3] = B[(5+8*m)*lda+3+8*n]; + TempB[4] = B[(5+8*m)*lda+4+8*n]; + TempB[5] = B[(5+8*m)*lda+5+8*n]; + TempB[6] = B[(5+8*m)*lda+6+8*n]; + TempB[7] = B[(5+8*m)*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA[5] * TempB[0]; + C[1+8*n+j*lda] += TempA[5] * TempB[1]; + C[2+8*n+j*lda] += TempA[5] * TempB[2]; + C[3+8*n+j*lda] += TempA[5] * TempB[3]; + C[4+8*n+j*lda] += TempA[5] * TempB[4]; + C[5+8*n+j*lda] += TempA[5] * TempB[5]; + C[6+8*n+j*lda] += TempA[5] * TempB[6]; + C[7+8*n+j*lda] += TempA[5] * TempB[7]; + + + + TempB[0] = B[(6+8*m)*lda+0+8*n]; + TempB[1] = B[(6+8*m)*lda+1+8*n]; + TempB[2] = B[(6+8*m)*lda+2+8*n]; + TempB[3] = B[(6+8*m)*lda+3+8*n]; + TempB[4] = B[(6+8*m)*lda+4+8*n]; + TempB[5] = B[(6+8*m)*lda+5+8*n]; + TempB[6] = B[(6+8*m)*lda+6+8*n]; + TempB[7] = B[(6+8*m)*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA[6] * TempB[0]; + C[1+8*n+j*lda] += TempA[6] * TempB[1]; + C[2+8*n+j*lda] += TempA[6] * TempB[2]; + C[3+8*n+j*lda] += TempA[6] * TempB[3]; + C[4+8*n+j*lda] += TempA[6] * TempB[4]; + C[5+8*n+j*lda] += TempA[6] * TempB[5]; + C[6+8*n+j*lda] += TempA[6] * TempB[6]; + C[7+8*n+j*lda] += TempA[6] * TempB[7]; + + + TempB[0] = B[(7+8*m)*lda+0+8*n]; + TempB[1] = B[(7+8*m)*lda+1+8*n]; + TempB[2] = B[(7+8*m)*lda+2+8*n]; + TempB[3] = B[(7+8*m)*lda+3+8*n]; + TempB[4] = B[(7+8*m)*lda+4+8*n]; + TempB[5] = B[(7+8*m)*lda+5+8*n]; + TempB[6] = B[(7+8*m)*lda+6+8*n]; + TempB[7] = B[(7+8*m)*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA[7] * TempB[0]; + C[1+8*n+j*lda] += TempA[7] * TempB[1]; + C[2+8*n+j*lda] += TempA[7] * TempB[2]; + C[3+8*n+j*lda] += TempA[7] * TempB[3]; + C[4+8*n+j*lda] += TempA[7] * TempB[4]; + C[5+8*n+j*lda] += TempA[7] * TempB[5]; + C[6+8*n+j*lda] += TempA[7] * TempB[6]; + C[7+8*n+j*lda] += TempA[7] * TempB[7]; + } + + } + } + } + */ + //-----------------------------------------------------------------version 2.14 optimize C. when tempc[8] inside n loop, MSI, 98K MI,158k + //-----------------------------------------------------------------version 2.15 optimize v2.14 a little MSI 89k. MI, 161K. don't decare tempc[8]=0 in the loop + /* + static __thread data_t TempA[8]; + static __thread data_t TempB[8]; + static __thread data_t TempC[8]; + static __thread int j,m,n,i,k; + + if(coreid == 1) + { + for ( j = 16; j < 32; j++ ) + { + + for ( m = 0; m < 4; m++ ) + { + + TempA[0] = A[j*lda+0+8*m]; + TempA[1] = A[j*lda+1+8*m]; + TempA[2] = A[j*lda+2+8*m]; + TempA[3] = A[j*lda+3+8*m]; + TempA[4] = A[j*lda+4+8*m]; + TempA[5] = A[j*lda+5+8*m]; + TempA[6] = A[j*lda+6+8*m]; + TempA[7] = A[j*lda+7+8*m]; + + + + for( n = 0; n < 4; n++) + { + + + TempB[0] = B[(0+8*m)*lda+0+8*n]; + TempB[1] = B[(0+8*m)*lda+1+8*n]; + TempB[2] = B[(0+8*m)*lda+2+8*n]; + TempB[3] = B[(0+8*m)*lda+3+8*n]; + TempB[4] = B[(0+8*m)*lda+4+8*n]; + TempB[5] = B[(0+8*m)*lda+5+8*n]; + TempB[6] = B[(0+8*m)*lda+6+8*n]; + TempB[7] = B[(0+8*m)*lda+7+8*n]; + + + TempC[0] = TempA[0] * TempB[0]; + TempC[1] = TempA[0] * TempB[1]; + TempC[2] = TempA[0] * TempB[2]; + TempC[3] = TempA[0] * TempB[3]; + TempC[4] = TempA[0] * TempB[4]; + TempC[5] = TempA[0] * TempB[5]; + TempC[6] = TempA[0] * TempB[6]; + TempC[7] = TempA[0] * TempB[7]; + + + + TempB[0] = B[(1+8*m)*lda+0+8*n]; + TempB[1] = B[(1+8*m)*lda+1+8*n]; + TempB[2] = B[(1+8*m)*lda+2+8*n]; + TempB[3] = B[(1+8*m)*lda+3+8*n]; + TempB[4] = B[(1+8*m)*lda+4+8*n]; + TempB[5] = B[(1+8*m)*lda+5+8*n]; + TempB[6] = B[(1+8*m)*lda+6+8*n]; + TempB[7] = B[(1+8*m)*lda+7+8*n]; + + TempC[0] += TempA[1] * TempB[0]; + TempC[1] += TempA[1] * TempB[1]; + TempC[2] += TempA[1] * TempB[2]; + TempC[3] += TempA[1] * TempB[3]; + TempC[4] += TempA[1] * TempB[4]; + TempC[5] += TempA[1] * TempB[5]; + TempC[6] += TempA[1] * TempB[6]; + TempC[7] += TempA[1] * TempB[7]; + + + + TempB[0] = B[(2+8*m)*lda+0+8*n]; + TempB[1] = B[(2+8*m)*lda+1+8*n]; + TempB[2] = B[(2+8*m)*lda+2+8*n]; + TempB[3] = B[(2+8*m)*lda+3+8*n]; + TempB[4] = B[(2+8*m)*lda+4+8*n]; + TempB[5] = B[(2+8*m)*lda+5+8*n]; + TempB[6] = B[(2+8*m)*lda+6+8*n]; + TempB[7] = B[(2+8*m)*lda+7+8*n]; + + TempC[0] += TempA[2] * TempB[0]; + TempC[1] += TempA[2] * TempB[1]; + TempC[2] += TempA[2] * TempB[2]; + TempC[3] += TempA[2] * TempB[3]; + TempC[4] += TempA[2] * TempB[4]; + TempC[5] += TempA[2] * TempB[5]; + TempC[6] += TempA[2] * TempB[6]; + TempC[7] += TempA[2] * TempB[7]; + + + + TempB[0] = B[(3+8*m)*lda+0+8*n]; + TempB[1] = B[(3+8*m)*lda+1+8*n]; + TempB[2] = B[(3+8*m)*lda+2+8*n]; + TempB[3] = B[(3+8*m)*lda+3+8*n]; + TempB[4] = B[(3+8*m)*lda+4+8*n]; + TempB[5] = B[(3+8*m)*lda+5+8*n]; + TempB[6] = B[(3+8*m)*lda+6+8*n]; + TempB[7] = B[(3+8*m)*lda+7+8*n]; + + TempC[0] += TempA[3] * TempB[0]; + TempC[1] += TempA[3] * TempB[1]; + TempC[2] += TempA[3] * TempB[2]; + TempC[3] += TempA[3] * TempB[3]; + TempC[4] += TempA[3] * TempB[4]; + TempC[5] += TempA[3] * TempB[5]; + TempC[6] += TempA[3] * TempB[6]; + TempC[7] += TempA[3] * TempB[7]; + + + TempB[0] = B[(4+8*m)*lda+0+8*n]; + TempB[1] = B[(4+8*m)*lda+1+8*n]; + TempB[2] = B[(4+8*m)*lda+2+8*n]; + TempB[3] = B[(4+8*m)*lda+3+8*n]; + TempB[4] = B[(4+8*m)*lda+4+8*n]; + TempB[5] = B[(4+8*m)*lda+5+8*n]; + TempB[6] = B[(4+8*m)*lda+6+8*n]; + TempB[7] = B[(4+8*m)*lda+7+8*n]; + + TempC[0] += TempA[4] * TempB[0]; + TempC[1] += TempA[4] * TempB[1]; + TempC[2] += TempA[4] * TempB[2]; + TempC[3] += TempA[4] * TempB[3]; + TempC[4] += TempA[4] * TempB[4]; + TempC[5] += TempA[4] * TempB[5]; + TempC[6] += TempA[4] * TempB[6]; + TempC[7] += TempA[4] * TempB[7]; + + + + TempB[0] = B[(5+8*m)*lda+0+8*n]; + TempB[1] = B[(5+8*m)*lda+1+8*n]; + TempB[2] = B[(5+8*m)*lda+2+8*n]; + TempB[3] = B[(5+8*m)*lda+3+8*n]; + TempB[4] = B[(5+8*m)*lda+4+8*n]; + TempB[5] = B[(5+8*m)*lda+5+8*n]; + TempB[6] = B[(5+8*m)*lda+6+8*n]; + TempB[7] = B[(5+8*m)*lda+7+8*n]; + + TempC[0] += TempA[5] * TempB[0]; + TempC[1] += TempA[5] * TempB[1]; + TempC[2] += TempA[5] * TempB[2]; + TempC[3] += TempA[5] * TempB[3]; + TempC[4] += TempA[5] * TempB[4]; + TempC[5] += TempA[5] * TempB[5]; + TempC[6] += TempA[5] * TempB[6]; + TempC[7] += TempA[5] * TempB[7]; + + + + TempB[0] = B[(6+8*m)*lda+0+8*n]; + TempB[1] = B[(6+8*m)*lda+1+8*n]; + TempB[2] = B[(6+8*m)*lda+2+8*n]; + TempB[3] = B[(6+8*m)*lda+3+8*n]; + TempB[4] = B[(6+8*m)*lda+4+8*n]; + TempB[5] = B[(6+8*m)*lda+5+8*n]; + TempB[6] = B[(6+8*m)*lda+6+8*n]; + TempB[7] = B[(6+8*m)*lda+7+8*n]; + + TempC[0] += TempA[6] * TempB[0]; + TempC[1] += TempA[6] * TempB[1]; + TempC[2] += TempA[6] * TempB[2]; + TempC[3] += TempA[6] * TempB[3]; + TempC[4] += TempA[6] * TempB[4]; + TempC[5] += TempA[6] * TempB[5]; + TempC[6] += TempA[6] * TempB[6]; + TempC[7] += TempA[6] * TempB[7]; + + + TempB[0] = B[(7+8*m)*lda+0+8*n]; + TempB[1] = B[(7+8*m)*lda+1+8*n]; + TempB[2] = B[(7+8*m)*lda+2+8*n]; + TempB[3] = B[(7+8*m)*lda+3+8*n]; + TempB[4] = B[(7+8*m)*lda+4+8*n]; + TempB[5] = B[(7+8*m)*lda+5+8*n]; + TempB[6] = B[(7+8*m)*lda+6+8*n]; + TempB[7] = B[(7+8*m)*lda+7+8*n]; + + TempC[0] += TempA[7] * TempB[0]; + TempC[1] += TempA[7] * TempB[1]; + TempC[2] += TempA[7] * TempB[2]; + TempC[3] += TempA[7] * TempB[3]; + TempC[4] += TempA[7] * TempB[4]; + TempC[5] += TempA[7] * TempB[5]; + TempC[6] += TempA[7] * TempB[6]; + TempC[7] += TempA[7] * TempB[7]; + + + + C[0+8*n+j*lda] += TempC[0]; + C[1+8*n+j*lda] += TempC[1]; + C[2+8*n+j*lda] += TempC[2]; + C[3+8*n+j*lda] += TempC[3]; + C[4+8*n+j*lda] += TempC[4]; + C[5+8*n+j*lda] += TempC[5]; + C[6+8*n+j*lda] += TempC[6]; + C[7+8*n+j*lda] += TempC[7]; + } + } + } + } + if(coreid == 0) + { + for ( j = 0; j < 16; j++ ) + { + + for ( m = 0; m < 4; m++ ) + { + + TempA[0] = A[j*lda+0+8*m]; + TempA[1] = A[j*lda+1+8*m]; + TempA[2] = A[j*lda+2+8*m]; + TempA[3] = A[j*lda+3+8*m]; + TempA[4] = A[j*lda+4+8*m]; + TempA[5] = A[j*lda+5+8*m]; + TempA[6] = A[j*lda+6+8*m]; + TempA[7] = A[j*lda+7+8*m]; + + for( n = 0; n < 4; n++) + { + + + TempB[0] = B[(0+8*m)*lda+0+8*n]; + TempB[1] = B[(0+8*m)*lda+1+8*n]; + TempB[2] = B[(0+8*m)*lda+2+8*n]; + TempB[3] = B[(0+8*m)*lda+3+8*n]; + TempB[4] = B[(0+8*m)*lda+4+8*n]; + TempB[5] = B[(0+8*m)*lda+5+8*n]; + TempB[6] = B[(0+8*m)*lda+6+8*n]; + TempB[7] = B[(0+8*m)*lda+7+8*n]; + + + TempC[0] = TempA[0] * TempB[0]; + TempC[1] = TempA[0] * TempB[1]; + TempC[2] = TempA[0] * TempB[2]; + TempC[3] = TempA[0] * TempB[3]; + TempC[4] = TempA[0] * TempB[4]; + TempC[5] = TempA[0] * TempB[5]; + TempC[6] = TempA[0] * TempB[6]; + TempC[7] = TempA[0] * TempB[7]; + + + + TempB[0] = B[(1+8*m)*lda+0+8*n]; + TempB[1] = B[(1+8*m)*lda+1+8*n]; + TempB[2] = B[(1+8*m)*lda+2+8*n]; + TempB[3] = B[(1+8*m)*lda+3+8*n]; + TempB[4] = B[(1+8*m)*lda+4+8*n]; + TempB[5] = B[(1+8*m)*lda+5+8*n]; + TempB[6] = B[(1+8*m)*lda+6+8*n]; + TempB[7] = B[(1+8*m)*lda+7+8*n]; + + TempC[0] += TempA[1] * TempB[0]; + TempC[1] += TempA[1] * TempB[1]; + TempC[2] += TempA[1] * TempB[2]; + TempC[3] += TempA[1] * TempB[3]; + TempC[4] += TempA[1] * TempB[4]; + TempC[5] += TempA[1] * TempB[5]; + TempC[6] += TempA[1] * TempB[6]; + TempC[7] += TempA[1] * TempB[7]; + + + + TempB[0] = B[(2+8*m)*lda+0+8*n]; + TempB[1] = B[(2+8*m)*lda+1+8*n]; + TempB[2] = B[(2+8*m)*lda+2+8*n]; + TempB[3] = B[(2+8*m)*lda+3+8*n]; + TempB[4] = B[(2+8*m)*lda+4+8*n]; + TempB[5] = B[(2+8*m)*lda+5+8*n]; + TempB[6] = B[(2+8*m)*lda+6+8*n]; + TempB[7] = B[(2+8*m)*lda+7+8*n]; + + TempC[0] += TempA[2] * TempB[0]; + TempC[1] += TempA[2] * TempB[1]; + TempC[2] += TempA[2] * TempB[2]; + TempC[3] += TempA[2] * TempB[3]; + TempC[4] += TempA[2] * TempB[4]; + TempC[5] += TempA[2] * TempB[5]; + TempC[6] += TempA[2] * TempB[6]; + TempC[7] += TempA[2] * TempB[7]; + + + + TempB[0] = B[(3+8*m)*lda+0+8*n]; + TempB[1] = B[(3+8*m)*lda+1+8*n]; + TempB[2] = B[(3+8*m)*lda+2+8*n]; + TempB[3] = B[(3+8*m)*lda+3+8*n]; + TempB[4] = B[(3+8*m)*lda+4+8*n]; + TempB[5] = B[(3+8*m)*lda+5+8*n]; + TempB[6] = B[(3+8*m)*lda+6+8*n]; + TempB[7] = B[(3+8*m)*lda+7+8*n]; + + TempC[0] += TempA[3] * TempB[0]; + TempC[1] += TempA[3] * TempB[1]; + TempC[2] += TempA[3] * TempB[2]; + TempC[3] += TempA[3] * TempB[3]; + TempC[4] += TempA[3] * TempB[4]; + TempC[5] += TempA[3] * TempB[5]; + TempC[6] += TempA[3] * TempB[6]; + TempC[7] += TempA[3] * TempB[7]; + + + TempB[0] = B[(4+8*m)*lda+0+8*n]; + TempB[1] = B[(4+8*m)*lda+1+8*n]; + TempB[2] = B[(4+8*m)*lda+2+8*n]; + TempB[3] = B[(4+8*m)*lda+3+8*n]; + TempB[4] = B[(4+8*m)*lda+4+8*n]; + TempB[5] = B[(4+8*m)*lda+5+8*n]; + TempB[6] = B[(4+8*m)*lda+6+8*n]; + TempB[7] = B[(4+8*m)*lda+7+8*n]; + + TempC[0] += TempA[4] * TempB[0]; + TempC[1] += TempA[4] * TempB[1]; + TempC[2] += TempA[4] * TempB[2]; + TempC[3] += TempA[4] * TempB[3]; + TempC[4] += TempA[4] * TempB[4]; + TempC[5] += TempA[4] * TempB[5]; + TempC[6] += TempA[4] * TempB[6]; + TempC[7] += TempA[4] * TempB[7]; + + + + TempB[0] = B[(5+8*m)*lda+0+8*n]; + TempB[1] = B[(5+8*m)*lda+1+8*n]; + TempB[2] = B[(5+8*m)*lda+2+8*n]; + TempB[3] = B[(5+8*m)*lda+3+8*n]; + TempB[4] = B[(5+8*m)*lda+4+8*n]; + TempB[5] = B[(5+8*m)*lda+5+8*n]; + TempB[6] = B[(5+8*m)*lda+6+8*n]; + TempB[7] = B[(5+8*m)*lda+7+8*n]; + + TempC[0] += TempA[5] * TempB[0]; + TempC[1] += TempA[5] * TempB[1]; + TempC[2] += TempA[5] * TempB[2]; + TempC[3] += TempA[5] * TempB[3]; + TempC[4] += TempA[5] * TempB[4]; + TempC[5] += TempA[5] * TempB[5]; + TempC[6] += TempA[5] * TempB[6]; + TempC[7] += TempA[5] * TempB[7]; + + + + TempB[0] = B[(6+8*m)*lda+0+8*n]; + TempB[1] = B[(6+8*m)*lda+1+8*n]; + TempB[2] = B[(6+8*m)*lda+2+8*n]; + TempB[3] = B[(6+8*m)*lda+3+8*n]; + TempB[4] = B[(6+8*m)*lda+4+8*n]; + TempB[5] = B[(6+8*m)*lda+5+8*n]; + TempB[6] = B[(6+8*m)*lda+6+8*n]; + TempB[7] = B[(6+8*m)*lda+7+8*n]; + + TempC[0] += TempA[6] * TempB[0]; + TempC[1] += TempA[6] * TempB[1]; + TempC[2] += TempA[6] * TempB[2]; + TempC[3] += TempA[6] * TempB[3]; + TempC[4] += TempA[6] * TempB[4]; + TempC[5] += TempA[6] * TempB[5]; + TempC[6] += TempA[6] * TempB[6]; + TempC[7] += TempA[6] * TempB[7]; + + + TempB[0] = B[(7+8*m)*lda+0+8*n]; + TempB[1] = B[(7+8*m)*lda+1+8*n]; + TempB[2] = B[(7+8*m)*lda+2+8*n]; + TempB[3] = B[(7+8*m)*lda+3+8*n]; + TempB[4] = B[(7+8*m)*lda+4+8*n]; + TempB[5] = B[(7+8*m)*lda+5+8*n]; + TempB[6] = B[(7+8*m)*lda+6+8*n]; + TempB[7] = B[(7+8*m)*lda+7+8*n]; + + TempC[0] += TempA[7] * TempB[0]; + TempC[1] += TempA[7] * TempB[1]; + TempC[2] += TempA[7] * TempB[2]; + TempC[3] += TempA[7] * TempB[3]; + TempC[4] += TempA[7] * TempB[4]; + TempC[5] += TempA[7] * TempB[5]; + TempC[6] += TempA[7] * TempB[6]; + TempC[7] += TempA[7] * TempB[7]; + + C[0+8*n+j*lda] += TempC[0]; + C[1+8*n+j*lda] += TempC[1]; + C[2+8*n+j*lda] += TempC[2]; + C[3+8*n+j*lda] += TempC[3]; + C[4+8*n+j*lda] += TempC[4]; + C[5+8*n+j*lda] += TempC[5]; + C[6+8*n+j*lda] += TempC[6]; + C[7+8*n+j*lda] += TempC[7]; + } + + } + } + } + */ + //-----------------------------------------------------------------version 2.16, optimize v2.15 get rid of tempb. MSI 83K.w/ test one 81K. + + + static __thread data_t TempA[8]; + static __thread data_t TempB[8]; + static __thread data_t TempC[8]; + static __thread int j,m,n; + + if(coreid == 1) + { + for ( j = 16; j < 32; j++ ) + { + + for ( m = 0; m < 4; m++ ) + { + + TempA[0] = A[j*lda+0+8*m]; + TempA[1] = A[j*lda+1+8*m]; + TempA[2] = A[j*lda+2+8*m]; + TempA[3] = A[j*lda+3+8*m]; + TempA[4] = A[j*lda+4+8*m]; + TempA[5] = A[j*lda+5+8*m]; + TempA[6] = A[j*lda+6+8*m]; + TempA[7] = A[j*lda+7+8*m]; + + + + for( n = 0; n < 4; n++) + { + + + + + + TempC[0] = TempA[0] * B[(0+8*m)*lda+0+8*n]; + TempC[1] = TempA[0] * B[(0+8*m)*lda+1+8*n]; + TempC[2] = TempA[0] * B[(0+8*m)*lda+2+8*n]; + TempC[3] = TempA[0] * B[(0+8*m)*lda+3+8*n]; + TempC[4] = TempA[0] * B[(0+8*m)*lda+4+8*n]; + TempC[5] = TempA[0] * B[(0+8*m)*lda+5+8*n]; + TempC[6] = TempA[0] * B[(0+8*m)*lda+6+8*n]; + TempC[7] = TempA[0] * B[(0+8*m)*lda+7+8*n]; + + + TempC[0] += TempA[1] * B[(1+8*m)*lda+0+8*n]; + TempC[1] += TempA[1] * B[(1+8*m)*lda+1+8*n]; + TempC[2] += TempA[1] * B[(1+8*m)*lda+2+8*n]; + TempC[3] += TempA[1] * B[(1+8*m)*lda+3+8*n]; + TempC[4] += TempA[1] * B[(1+8*m)*lda+4+8*n]; + TempC[5] += TempA[1] * B[(1+8*m)*lda+5+8*n]; + TempC[6] += TempA[1] * B[(1+8*m)*lda+6+8*n]; + TempC[7] += TempA[1] * B[(1+8*m)*lda+7+8*n]; + + + + TempC[0] += TempA[2] * B[(2+8*m)*lda+0+8*n]; + TempC[1] += TempA[2] * B[(2+8*m)*lda+1+8*n]; + TempC[2] += TempA[2] * B[(2+8*m)*lda+2+8*n]; + TempC[3] += TempA[2] * B[(2+8*m)*lda+3+8*n]; + TempC[4] += TempA[2] * B[(2+8*m)*lda+4+8*n]; + TempC[5] += TempA[2] * B[(2+8*m)*lda+5+8*n]; + TempC[6] += TempA[2] * B[(2+8*m)*lda+6+8*n]; + TempC[7] += TempA[2] * B[(2+8*m)*lda+7+8*n]; + + + + TempC[0] += TempA[3] * B[(3+8*m)*lda+0+8*n]; + TempC[1] += TempA[3] * B[(3+8*m)*lda+1+8*n]; + TempC[2] += TempA[3] * B[(3+8*m)*lda+2+8*n]; + TempC[3] += TempA[3] * B[(3+8*m)*lda+3+8*n]; + TempC[4] += TempA[3] * B[(3+8*m)*lda+4+8*n]; + TempC[5] += TempA[3] * B[(3+8*m)*lda+5+8*n]; + TempC[6] += TempA[3] * B[(3+8*m)*lda+6+8*n]; + TempC[7] += TempA[3] * B[(3+8*m)*lda+7+8*n]; + + TempC[0] += TempA[4] * B[(4+8*m)*lda+0+8*n]; + TempC[1] += TempA[4] * B[(4+8*m)*lda+1+8*n]; + TempC[2] += TempA[4] * B[(4+8*m)*lda+2+8*n]; + TempC[3] += TempA[4] * B[(4+8*m)*lda+3+8*n]; + TempC[4] += TempA[4] * B[(4+8*m)*lda+4+8*n]; + TempC[5] += TempA[4] * B[(4+8*m)*lda+5+8*n]; + TempC[6] += TempA[4] * B[(4+8*m)*lda+6+8*n]; + TempC[7] += TempA[4] * B[(4+8*m)*lda+7+8*n]; + + + TempC[0] += TempA[5] * B[(5+8*m)*lda+0+8*n]; + TempC[1] += TempA[5] * B[(5+8*m)*lda+1+8*n]; + TempC[2] += TempA[5] * B[(5+8*m)*lda+2+8*n]; + TempC[3] += TempA[5] * B[(5+8*m)*lda+3+8*n]; + TempC[4] += TempA[5] * B[(5+8*m)*lda+4+8*n]; + TempC[5] += TempA[5] * B[(5+8*m)*lda+5+8*n]; + TempC[6] += TempA[5] * B[(5+8*m)*lda+6+8*n]; + TempC[7] += TempA[5] * B[(5+8*m)*lda+7+8*n]; + + + + TempC[0] += TempA[6] * B[(6+8*m)*lda+0+8*n]; + TempC[1] += TempA[6] * B[(6+8*m)*lda+1+8*n]; + TempC[2] += TempA[6] * B[(6+8*m)*lda+2+8*n]; + TempC[3] += TempA[6] * B[(6+8*m)*lda+3+8*n]; + TempC[4] += TempA[6] * B[(6+8*m)*lda+4+8*n]; + TempC[5] += TempA[6] * B[(6+8*m)*lda+5+8*n]; + TempC[6] += TempA[6] * B[(6+8*m)*lda+6+8*n]; + TempC[7] += TempA[6] * B[(6+8*m)*lda+7+8*n]; + + + TempC[0] += TempA[7] * B[(7+8*m)*lda+0+8*n]; + TempC[1] += TempA[7] * B[(7+8*m)*lda+1+8*n]; + TempC[2] += TempA[7] * B[(7+8*m)*lda+2+8*n]; + TempC[3] += TempA[7] * B[(7+8*m)*lda+3+8*n]; + TempC[4] += TempA[7] * B[(7+8*m)*lda+4+8*n]; + TempC[5] += TempA[7] * B[(7+8*m)*lda+5+8*n]; + TempC[6] += TempA[7] * B[(7+8*m)*lda+6+8*n]; + TempC[7] += TempA[7] * B[(7+8*m)*lda+7+8*n]; + + + + C[0+8*n+j*lda] += TempC[0]; + C[1+8*n+j*lda] += TempC[1]; + C[2+8*n+j*lda] += TempC[2]; + C[3+8*n+j*lda] += TempC[3]; + C[4+8*n+j*lda] += TempC[4]; + C[5+8*n+j*lda] += TempC[5]; + C[6+8*n+j*lda] += TempC[6]; + C[7+8*n+j*lda] += TempC[7]; + } + } + } + } + if(coreid == 0) + { + for ( j = 0; j < 16; j++ ) + { + + for ( m = 0; m < 4; m++ ) + { + + TempA[0] = A[j*lda+0+8*m]; + TempA[1] = A[j*lda+1+8*m]; + TempA[2] = A[j*lda+2+8*m]; + TempA[3] = A[j*lda+3+8*m]; + TempA[4] = A[j*lda+4+8*m]; + TempA[5] = A[j*lda+5+8*m]; + TempA[6] = A[j*lda+6+8*m]; + TempA[7] = A[j*lda+7+8*m]; + + + + for( n = 0; n < 4; n++) + { + + + + + + TempC[0] = TempA[0] * B[(0+8*m)*lda+0+8*n]; + TempC[1] = TempA[0] * B[(0+8*m)*lda+1+8*n]; + TempC[2] = TempA[0] * B[(0+8*m)*lda+2+8*n]; + TempC[3] = TempA[0] * B[(0+8*m)*lda+3+8*n]; + TempC[4] = TempA[0] * B[(0+8*m)*lda+4+8*n]; + TempC[5] = TempA[0] * B[(0+8*m)*lda+5+8*n]; + TempC[6] = TempA[0] * B[(0+8*m)*lda+6+8*n]; + TempC[7] = TempA[0] * B[(0+8*m)*lda+7+8*n]; + + + TempC[0] += TempA[1] * B[(1+8*m)*lda+0+8*n]; + TempC[1] += TempA[1] * B[(1+8*m)*lda+1+8*n]; + TempC[2] += TempA[1] * B[(1+8*m)*lda+2+8*n]; + TempC[3] += TempA[1] * B[(1+8*m)*lda+3+8*n]; + TempC[4] += TempA[1] * B[(1+8*m)*lda+4+8*n]; + TempC[5] += TempA[1] * B[(1+8*m)*lda+5+8*n]; + TempC[6] += TempA[1] * B[(1+8*m)*lda+6+8*n]; + TempC[7] += TempA[1] * B[(1+8*m)*lda+7+8*n]; + + + + TempC[0] += TempA[2] * B[(2+8*m)*lda+0+8*n]; + TempC[1] += TempA[2] * B[(2+8*m)*lda+1+8*n]; + TempC[2] += TempA[2] * B[(2+8*m)*lda+2+8*n]; + TempC[3] += TempA[2] * B[(2+8*m)*lda+3+8*n]; + TempC[4] += TempA[2] * B[(2+8*m)*lda+4+8*n]; + TempC[5] += TempA[2] * B[(2+8*m)*lda+5+8*n]; + TempC[6] += TempA[2] * B[(2+8*m)*lda+6+8*n]; + TempC[7] += TempA[2] * B[(2+8*m)*lda+7+8*n]; + + + + TempC[0] += TempA[3] * B[(3+8*m)*lda+0+8*n]; + TempC[1] += TempA[3] * B[(3+8*m)*lda+1+8*n]; + TempC[2] += TempA[3] * B[(3+8*m)*lda+2+8*n]; + TempC[3] += TempA[3] * B[(3+8*m)*lda+3+8*n]; + TempC[4] += TempA[3] * B[(3+8*m)*lda+4+8*n]; + TempC[5] += TempA[3] * B[(3+8*m)*lda+5+8*n]; + TempC[6] += TempA[3] * B[(3+8*m)*lda+6+8*n]; + TempC[7] += TempA[3] * B[(3+8*m)*lda+7+8*n]; + + TempC[0] += TempA[4] * B[(4+8*m)*lda+0+8*n]; + TempC[1] += TempA[4] * B[(4+8*m)*lda+1+8*n]; + TempC[2] += TempA[4] * B[(4+8*m)*lda+2+8*n]; + TempC[3] += TempA[4] * B[(4+8*m)*lda+3+8*n]; + TempC[4] += TempA[4] * B[(4+8*m)*lda+4+8*n]; + TempC[5] += TempA[4] * B[(4+8*m)*lda+5+8*n]; + TempC[6] += TempA[4] * B[(4+8*m)*lda+6+8*n]; + TempC[7] += TempA[4] * B[(4+8*m)*lda+7+8*n]; + + + TempC[0] += TempA[5] * B[(5+8*m)*lda+0+8*n]; + TempC[1] += TempA[5] * B[(5+8*m)*lda+1+8*n]; + TempC[2] += TempA[5] * B[(5+8*m)*lda+2+8*n]; + TempC[3] += TempA[5] * B[(5+8*m)*lda+3+8*n]; + TempC[4] += TempA[5] * B[(5+8*m)*lda+4+8*n]; + TempC[5] += TempA[5] * B[(5+8*m)*lda+5+8*n]; + TempC[6] += TempA[5] * B[(5+8*m)*lda+6+8*n]; + TempC[7] += TempA[5] * B[(5+8*m)*lda+7+8*n]; + + + + TempC[0] += TempA[6] * B[(6+8*m)*lda+0+8*n]; + TempC[1] += TempA[6] * B[(6+8*m)*lda+1+8*n]; + TempC[2] += TempA[6] * B[(6+8*m)*lda+2+8*n]; + TempC[3] += TempA[6] * B[(6+8*m)*lda+3+8*n]; + TempC[4] += TempA[6] * B[(6+8*m)*lda+4+8*n]; + TempC[5] += TempA[6] * B[(6+8*m)*lda+5+8*n]; + TempC[6] += TempA[6] * B[(6+8*m)*lda+6+8*n]; + TempC[7] += TempA[6] * B[(6+8*m)*lda+7+8*n]; + + + TempC[0] += TempA[7] * B[(7+8*m)*lda+0+8*n]; + TempC[1] += TempA[7] * B[(7+8*m)*lda+1+8*n]; + TempC[2] += TempA[7] * B[(7+8*m)*lda+2+8*n]; + TempC[3] += TempA[7] * B[(7+8*m)*lda+3+8*n]; + TempC[4] += TempA[7] * B[(7+8*m)*lda+4+8*n]; + TempC[5] += TempA[7] * B[(7+8*m)*lda+5+8*n]; + TempC[6] += TempA[7] * B[(7+8*m)*lda+6+8*n]; + TempC[7] += TempA[7] * B[(7+8*m)*lda+7+8*n]; + + + + C[0+8*n+j*lda] += TempC[0]; + C[1+8*n+j*lda] += TempC[1]; + C[2+8*n+j*lda] += TempC[2]; + C[3+8*n+j*lda] += TempC[3]; + C[4+8*n+j*lda] += TempC[4]; + C[5+8*n+j*lda] += TempC[5]; + C[6+8*n+j*lda] += TempC[6]; + C[7+8*n+j*lda] += TempC[7]; + } + } + } + } + + //-----------------------------------------------------------------version 2.13 optimize j + /* + static __thread data_t TempA[8]; + static __thread data_t TempB[8]; + static __thread data_t TempC[8]; + static __thread int j,m,n,i,k; + + if(coreid == 1) + { + for ( j = 16; j < 32; j++ ) + { + + for ( m = 0; m < 4; m++ ) + { + + TempA[0] = A[j*lda+0+8*m]; + TempA[1] = A[j*lda+1+8*m]; + TempA[2] = A[j*lda+2+8*m]; + TempA[3] = A[j*lda+3+8*m]; + TempA[4] = A[j*lda+4+8*m]; + TempA[5] = A[j*lda+5+8*m]; + TempA[6] = A[j*lda+6+8*m]; + TempA[7] = A[j*lda+7+8*m]; + + for( n = 0; n < 4; n++) + { + TempB[0] = B[(0+8*m)*lda+0+8*n]; + TempB[1] = B[(0+8*m)*lda+1+8*n]; + TempB[2] = B[(0+8*m)*lda+2+8*n]; + TempB[3] = B[(0+8*m)*lda+3+8*n]; + TempB[4] = B[(0+8*m)*lda+4+8*n]; + TempB[5] = B[(0+8*m)*lda+5+8*n]; + TempB[6] = B[(0+8*m)*lda+6+8*n]; + TempB[7] = B[(0+8*m)*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA[0] * TempB[0]; + C[1+8*n+j*lda] += TempA[0] * TempB[1]; + C[2+8*n+j*lda] += TempA[0] * TempB[2]; + C[3+8*n+j*lda] += TempA[0] * TempB[3]; + C[4+8*n+j*lda] += TempA[0] * TempB[4]; + C[5+8*n+j*lda] += TempA[0] * TempB[5]; + C[6+8*n+j*lda] += TempA[0] * TempB[6]; + C[7+8*n+j*lda] += TempA[0] * TempB[7]; + + + + TempB[0] = B[(1+8*m)*lda+0+8*n]; + TempB[1] = B[(1+8*m)*lda+1+8*n]; + TempB[2] = B[(1+8*m)*lda+2+8*n]; + TempB[3] = B[(1+8*m)*lda+3+8*n]; + TempB[4] = B[(1+8*m)*lda+4+8*n]; + TempB[5] = B[(1+8*m)*lda+5+8*n]; + TempB[6] = B[(1+8*m)*lda+6+8*n]; + TempB[7] = B[(1+8*m)*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA[1] * TempB[0]; + C[1+8*n+j*lda] += TempA[1] * TempB[1]; + C[2+8*n+j*lda] += TempA[1] * TempB[2]; + C[3+8*n+j*lda] += TempA[1] * TempB[3]; + C[4+8*n+j*lda] += TempA[1] * TempB[4]; + C[5+8*n+j*lda] += TempA[1] * TempB[5]; + C[6+8*n+j*lda] += TempA[1] * TempB[6]; + C[7+8*n+j*lda] += TempA[1] * TempB[7]; + + + + TempB[0] = B[(2+8*m)*lda+0+8*n]; + TempB[1] = B[(2+8*m)*lda+1+8*n]; + TempB[2] = B[(2+8*m)*lda+2+8*n]; + TempB[3] = B[(2+8*m)*lda+3+8*n]; + TempB[4] = B[(2+8*m)*lda+4+8*n]; + TempB[5] = B[(2+8*m)*lda+5+8*n]; + TempB[6] = B[(2+8*m)*lda+6+8*n]; + TempB[7] = B[(2+8*m)*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA[2] * TempB[0]; + C[1+8*n+j*lda] += TempA[2] * TempB[1]; + C[2+8*n+j*lda] += TempA[2] * TempB[2]; + C[3+8*n+j*lda] += TempA[2] * TempB[3]; + C[4+8*n+j*lda] += TempA[2] * TempB[4]; + C[5+8*n+j*lda] += TempA[2] * TempB[5]; + C[6+8*n+j*lda] += TempA[2] * TempB[6]; + C[7+8*n+j*lda] += TempA[2] * TempB[7]; + + + + TempB[0] = B[(3+8*m)*lda+0+8*n]; + TempB[1] = B[(3+8*m)*lda+1+8*n]; + TempB[2] = B[(3+8*m)*lda+2+8*n]; + TempB[3] = B[(3+8*m)*lda+3+8*n]; + TempB[4] = B[(3+8*m)*lda+4+8*n]; + TempB[5] = B[(3+8*m)*lda+5+8*n]; + TempB[6] = B[(3+8*m)*lda+6+8*n]; + TempB[7] = B[(3+8*m)*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA[3] * TempB[0]; + C[1+8*n+j*lda] += TempA[3] * TempB[1]; + C[2+8*n+j*lda] += TempA[3] * TempB[2]; + C[3+8*n+j*lda] += TempA[3] * TempB[3]; + C[4+8*n+j*lda] += TempA[3] * TempB[4]; + C[5+8*n+j*lda] += TempA[3] * TempB[5]; + C[6+8*n+j*lda] += TempA[3] * TempB[6]; + C[7+8*n+j*lda] += TempA[3] * TempB[7]; + + + TempB[0] = B[(4+8*m)*lda+0+8*n]; + TempB[1] = B[(4+8*m)*lda+1+8*n]; + TempB[2] = B[(4+8*m)*lda+2+8*n]; + TempB[3] = B[(4+8*m)*lda+3+8*n]; + TempB[4] = B[(4+8*m)*lda+4+8*n]; + TempB[5] = B[(4+8*m)*lda+5+8*n]; + TempB[6] = B[(4+8*m)*lda+6+8*n]; + TempB[7] = B[(4+8*m)*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA[4] * TempB[0]; + C[1+8*n+j*lda] += TempA[4] * TempB[1]; + C[2+8*n+j*lda] += TempA[4] * TempB[2]; + C[3+8*n+j*lda] += TempA[4] * TempB[3]; + C[4+8*n+j*lda] += TempA[4] * TempB[4]; + C[5+8*n+j*lda] += TempA[4] * TempB[5]; + C[6+8*n+j*lda] += TempA[4] * TempB[6]; + C[7+8*n+j*lda] += TempA[4] * TempB[7]; + + + + TempB[0] = B[(5+8*m)*lda+0+8*n]; + TempB[1] = B[(5+8*m)*lda+1+8*n]; + TempB[2] = B[(5+8*m)*lda+2+8*n]; + TempB[3] = B[(5+8*m)*lda+3+8*n]; + TempB[4] = B[(5+8*m)*lda+4+8*n]; + TempB[5] = B[(5+8*m)*lda+5+8*n]; + TempB[6] = B[(5+8*m)*lda+6+8*n]; + TempB[7] = B[(5+8*m)*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA[5] * TempB[0]; + C[1+8*n+j*lda] += TempA[5] * TempB[1]; + C[2+8*n+j*lda] += TempA[5] * TempB[2]; + C[3+8*n+j*lda] += TempA[5] * TempB[3]; + C[4+8*n+j*lda] += TempA[5] * TempB[4]; + C[5+8*n+j*lda] += TempA[5] * TempB[5]; + C[6+8*n+j*lda] += TempA[5] * TempB[6]; + C[7+8*n+j*lda] += TempA[5] * TempB[7]; + + + + TempB[0] = B[(6+8*m)*lda+0+8*n]; + TempB[1] = B[(6+8*m)*lda+1+8*n]; + TempB[2] = B[(6+8*m)*lda+2+8*n]; + TempB[3] = B[(6+8*m)*lda+3+8*n]; + TempB[4] = B[(6+8*m)*lda+4+8*n]; + TempB[5] = B[(6+8*m)*lda+5+8*n]; + TempB[6] = B[(6+8*m)*lda+6+8*n]; + TempB[7] = B[(6+8*m)*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA[6] * TempB[0]; + C[1+8*n+j*lda] += TempA[6] * TempB[1]; + C[2+8*n+j*lda] += TempA[6] * TempB[2]; + C[3+8*n+j*lda] += TempA[6] * TempB[3]; + C[4+8*n+j*lda] += TempA[6] * TempB[4]; + C[5+8*n+j*lda] += TempA[6] * TempB[5]; + C[6+8*n+j*lda] += TempA[6] * TempB[6]; + C[7+8*n+j*lda] += TempA[6] * TempB[7]; + + + TempB[0] = B[(7+8*m)*lda+0+8*n]; + TempB[1] = B[(7+8*m)*lda+1+8*n]; + TempB[2] = B[(7+8*m)*lda+2+8*n]; + TempB[3] = B[(7+8*m)*lda+3+8*n]; + TempB[4] = B[(7+8*m)*lda+4+8*n]; + TempB[5] = B[(7+8*m)*lda+5+8*n]; + TempB[6] = B[(7+8*m)*lda+6+8*n]; + TempB[7] = B[(7+8*m)*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA[7] * TempB[0]; + C[1+8*n+j*lda] += TempA[7] * TempB[1]; + C[2+8*n+j*lda] += TempA[7] * TempB[2]; + C[3+8*n+j*lda] += TempA[7] * TempB[3]; + C[4+8*n+j*lda] += TempA[7] * TempB[4]; + C[5+8*n+j*lda] += TempA[7] * TempB[5]; + C[6+8*n+j*lda] += TempA[7] * TempB[6]; + C[7+8*n+j*lda] += TempA[7] * TempB[7]; + } + + } + } + } + if(coreid == 0) + { + for ( j = 0; j < 16; j++ ) + { + + for ( m = 0; m < 4; m++ ) + { + + TempA[0] = A[j*lda+0+8*m]; + TempA[1] = A[j*lda+1+8*m]; + TempA[2] = A[j*lda+2+8*m]; + TempA[3] = A[j*lda+3+8*m]; + TempA[4] = A[j*lda+4+8*m]; + TempA[5] = A[j*lda+5+8*m]; + TempA[6] = A[j*lda+6+8*m]; + TempA[7] = A[j*lda+7+8*m]; + + for( n = 0; n < 4; n++) + { + TempB[0] = B[(0+8*m)*lda+0+8*n]; + TempB[1] = B[(0+8*m)*lda+1+8*n]; + TempB[2] = B[(0+8*m)*lda+2+8*n]; + TempB[3] = B[(0+8*m)*lda+3+8*n]; + TempB[4] = B[(0+8*m)*lda+4+8*n]; + TempB[5] = B[(0+8*m)*lda+5+8*n]; + TempB[6] = B[(0+8*m)*lda+6+8*n]; + TempB[7] = B[(0+8*m)*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA[0] * TempB[0]; + C[1+8*n+j*lda] += TempA[0] * TempB[1]; + C[2+8*n+j*lda] += TempA[0] * TempB[2]; + C[3+8*n+j*lda] += TempA[0] * TempB[3]; + C[4+8*n+j*lda] += TempA[0] * TempB[4]; + C[5+8*n+j*lda] += TempA[0] * TempB[5]; + C[6+8*n+j*lda] += TempA[0] * TempB[6]; + C[7+8*n+j*lda] += TempA[0] * TempB[7]; + + + + TempB[0] = B[(1+8*m)*lda+0+8*n]; + TempB[1] = B[(1+8*m)*lda+1+8*n]; + TempB[2] = B[(1+8*m)*lda+2+8*n]; + TempB[3] = B[(1+8*m)*lda+3+8*n]; + TempB[4] = B[(1+8*m)*lda+4+8*n]; + TempB[5] = B[(1+8*m)*lda+5+8*n]; + TempB[6] = B[(1+8*m)*lda+6+8*n]; + TempB[7] = B[(1+8*m)*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA[1] * TempB[0]; + C[1+8*n+j*lda] += TempA[1] * TempB[1]; + C[2+8*n+j*lda] += TempA[1] * TempB[2]; + C[3+8*n+j*lda] += TempA[1] * TempB[3]; + C[4+8*n+j*lda] += TempA[1] * TempB[4]; + C[5+8*n+j*lda] += TempA[1] * TempB[5]; + C[6+8*n+j*lda] += TempA[1] * TempB[6]; + C[7+8*n+j*lda] += TempA[1] * TempB[7]; + + + + TempB[0] = B[(2+8*m)*lda+0+8*n]; + TempB[1] = B[(2+8*m)*lda+1+8*n]; + TempB[2] = B[(2+8*m)*lda+2+8*n]; + TempB[3] = B[(2+8*m)*lda+3+8*n]; + TempB[4] = B[(2+8*m)*lda+4+8*n]; + TempB[5] = B[(2+8*m)*lda+5+8*n]; + TempB[6] = B[(2+8*m)*lda+6+8*n]; + TempB[7] = B[(2+8*m)*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA[2] * TempB[0]; + C[1+8*n+j*lda] += TempA[2] * TempB[1]; + C[2+8*n+j*lda] += TempA[2] * TempB[2]; + C[3+8*n+j*lda] += TempA[2] * TempB[3]; + C[4+8*n+j*lda] += TempA[2] * TempB[4]; + C[5+8*n+j*lda] += TempA[2] * TempB[5]; + C[6+8*n+j*lda] += TempA[2] * TempB[6]; + C[7+8*n+j*lda] += TempA[2] * TempB[7]; + + + + TempB[0] = B[(3+8*m)*lda+0+8*n]; + TempB[1] = B[(3+8*m)*lda+1+8*n]; + TempB[2] = B[(3+8*m)*lda+2+8*n]; + TempB[3] = B[(3+8*m)*lda+3+8*n]; + TempB[4] = B[(3+8*m)*lda+4+8*n]; + TempB[5] = B[(3+8*m)*lda+5+8*n]; + TempB[6] = B[(3+8*m)*lda+6+8*n]; + TempB[7] = B[(3+8*m)*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA[3] * TempB[0]; + C[1+8*n+j*lda] += TempA[3] * TempB[1]; + C[2+8*n+j*lda] += TempA[3] * TempB[2]; + C[3+8*n+j*lda] += TempA[3] * TempB[3]; + C[4+8*n+j*lda] += TempA[3] * TempB[4]; + C[5+8*n+j*lda] += TempA[3] * TempB[5]; + C[6+8*n+j*lda] += TempA[3] * TempB[6]; + C[7+8*n+j*lda] += TempA[3] * TempB[7]; + + + TempB[0] = B[(4+8*m)*lda+0+8*n]; + TempB[1] = B[(4+8*m)*lda+1+8*n]; + TempB[2] = B[(4+8*m)*lda+2+8*n]; + TempB[3] = B[(4+8*m)*lda+3+8*n]; + TempB[4] = B[(4+8*m)*lda+4+8*n]; + TempB[5] = B[(4+8*m)*lda+5+8*n]; + TempB[6] = B[(4+8*m)*lda+6+8*n]; + TempB[7] = B[(4+8*m)*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA[4] * TempB[0]; + C[1+8*n+j*lda] += TempA[4] * TempB[1]; + C[2+8*n+j*lda] += TempA[4] * TempB[2]; + C[3+8*n+j*lda] += TempA[4] * TempB[3]; + C[4+8*n+j*lda] += TempA[4] * TempB[4]; + C[5+8*n+j*lda] += TempA[4] * TempB[5]; + C[6+8*n+j*lda] += TempA[4] * TempB[6]; + C[7+8*n+j*lda] += TempA[4] * TempB[7]; + + + + TempB[0] = B[(5+8*m)*lda+0+8*n]; + TempB[1] = B[(5+8*m)*lda+1+8*n]; + TempB[2] = B[(5+8*m)*lda+2+8*n]; + TempB[3] = B[(5+8*m)*lda+3+8*n]; + TempB[4] = B[(5+8*m)*lda+4+8*n]; + TempB[5] = B[(5+8*m)*lda+5+8*n]; + TempB[6] = B[(5+8*m)*lda+6+8*n]; + TempB[7] = B[(5+8*m)*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA[5] * TempB[0]; + C[1+8*n+j*lda] += TempA[5] * TempB[1]; + C[2+8*n+j*lda] += TempA[5] * TempB[2]; + C[3+8*n+j*lda] += TempA[5] * TempB[3]; + C[4+8*n+j*lda] += TempA[5] * TempB[4]; + C[5+8*n+j*lda] += TempA[5] * TempB[5]; + C[6+8*n+j*lda] += TempA[5] * TempB[6]; + C[7+8*n+j*lda] += TempA[5] * TempB[7]; + + + + TempB[0] = B[(6+8*m)*lda+0+8*n]; + TempB[1] = B[(6+8*m)*lda+1+8*n]; + TempB[2] = B[(6+8*m)*lda+2+8*n]; + TempB[3] = B[(6+8*m)*lda+3+8*n]; + TempB[4] = B[(6+8*m)*lda+4+8*n]; + TempB[5] = B[(6+8*m)*lda+5+8*n]; + TempB[6] = B[(6+8*m)*lda+6+8*n]; + TempB[7] = B[(6+8*m)*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA[6] * TempB[0]; + C[1+8*n+j*lda] += TempA[6] * TempB[1]; + C[2+8*n+j*lda] += TempA[6] * TempB[2]; + C[3+8*n+j*lda] += TempA[6] * TempB[3]; + C[4+8*n+j*lda] += TempA[6] * TempB[4]; + C[5+8*n+j*lda] += TempA[6] * TempB[5]; + C[6+8*n+j*lda] += TempA[6] * TempB[6]; + C[7+8*n+j*lda] += TempA[6] * TempB[7]; + + + TempB[0] = B[(7+8*m)*lda+0+8*n]; + TempB[1] = B[(7+8*m)*lda+1+8*n]; + TempB[2] = B[(7+8*m)*lda+2+8*n]; + TempB[3] = B[(7+8*m)*lda+3+8*n]; + TempB[4] = B[(7+8*m)*lda+4+8*n]; + TempB[5] = B[(7+8*m)*lda+5+8*n]; + TempB[6] = B[(7+8*m)*lda+6+8*n]; + TempB[7] = B[(7+8*m)*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA[7] * TempB[0]; + C[1+8*n+j*lda] += TempA[7] * TempB[1]; + C[2+8*n+j*lda] += TempA[7] * TempB[2]; + C[3+8*n+j*lda] += TempA[7] * TempB[3]; + C[4+8*n+j*lda] += TempA[7] * TempB[4]; + C[5+8*n+j*lda] += TempA[7] * TempB[5]; + C[6+8*n+j*lda] += TempA[7] * TempB[6]; + C[7+8*n+j*lda] += TempA[7] * TempB[7]; + } + + } + } + } + */ +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + +// // Execute the provided, naive matmul +// barrier(); +// stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); +// +// +// // verify +// verify(ARRAY_SIZE, results_data, verify_data); +// +// // clear results from the first trial +// size_t i; +// if (coreid == 0) +// for (i=0; i < ARRAY_SIZE; i++) +// results_data[i] = 0; +// barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/av_matmul/dataset.h b/mt/av_matmul/dataset.h new file mode 100755 index 0000000..dde3ee4 --- /dev/null +++ b/mt/av_matmul/dataset.h @@ -0,0 +1,174 @@ + +#define ARRAY_SIZE 1024 + + +#define DIM_SIZE 32 + +static data_t input1_data[ARRAY_SIZE] = +{ + 0, 3, 2, 0, 3, 1, 0, 3, 2, 3, 2, 0, 3, 3, 1, 2, 3, 0, 0, 1, + 1, 1, 2, 3, 1, 2, 3, 1, 1, 3, 2, 2, 0, 1, 3, 2, 2, 2, 0, 0, + 1, 0, 1, 3, 3, 0, 3, 3, 3, 3, 0, 3, 2, 1, 2, 2, 0, 0, 3, 0, + 1, 1, 0, 3, 3, 1, 2, 3, 3, 0, 1, 2, 1, 0, 1, 2, 2, 1, 0, 3, + 1, 0, 2, 2, 1, 1, 1, 1, 1, 1, 2, 0, 3, 1, 1, 2, 2, 3, 3, 1, + 3, 2, 0, 0, 0, 3, 3, 3, 2, 1, 2, 3, 1, 0, 0, 0, 0, 1, 2, 2, + 1, 1, 3, 3, 3, 1, 1, 2, 3, 1, 3, 3, 2, 3, 2, 1, 2, 3, 0, 2, + 2, 1, 1, 0, 0, 0, 0, 0, 1, 3, 3, 1, 1, 1, 2, 2, 3, 2, 1, 1, + 1, 1, 3, 0, 2, 2, 1, 3, 2, 1, 2, 2, 1, 3, 1, 3, 1, 3, 2, 3, + 1, 2, 1, 3, 2, 2, 0, 1, 0, 0, 1, 2, 3, 3, 1, 0, 0, 0, 3, 1, + 2, 3, 2, 3, 2, 0, 0, 0, 0, 0, 3, 1, 3, 0, 0, 0, 3, 1, 1, 1, + 1, 2, 1, 2, 3, 2, 0, 0, 2, 2, 3, 0, 3, 0, 0, 3, 0, 3, 1, 3, + 3, 1, 1, 1, 2, 2, 1, 3, 0, 3, 3, 1, 0, 0, 3, 2, 1, 3, 3, 3, + 1, 0, 1, 1, 2, 1, 0, 1, 1, 2, 2, 3, 1, 2, 2, 2, 0, 1, 3, 3, + 3, 2, 2, 1, 0, 1, 2, 0, 1, 1, 1, 1, 2, 3, 2, 2, 3, 3, 0, 0, + 2, 0, 0, 0, 3, 0, 1, 0, 3, 0, 0, 0, 3, 0, 0, 2, 0, 2, 0, 0, + 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 0, 2, 0, 0, 3, 3, 2, 3, 3, 0, + 1, 0, 2, 2, 0, 3, 3, 1, 1, 0, 2, 3, 2, 1, 1, 0, 1, 2, 1, 2, + 2, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 3, 3, 2, 0, 0, 1, 3, 0, 3, + 3, 0, 0, 0, 0, 3, 3, 1, 0, 0, 3, 3, 2, 1, 2, 1, 3, 3, 0, 1, + 3, 0, 2, 3, 1, 3, 3, 3, 3, 3, 0, 1, 1, 3, 0, 2, 2, 3, 1, 2, + 2, 2, 1, 3, 3, 0, 3, 0, 0, 2, 0, 2, 3, 0, 1, 3, 2, 2, 0, 0, + 2, 3, 0, 2, 2, 2, 3, 1, 0, 3, 3, 3, 3, 1, 0, 3, 3, 2, 0, 3, + 2, 0, 3, 0, 2, 0, 0, 2, 2, 1, 0, 2, 3, 1, 1, 1, 1, 2, 3, 3, + 3, 0, 0, 3, 3, 3, 2, 3, 3, 1, 2, 2, 3, 1, 2, 1, 1, 3, 0, 1, + 2, 0, 2, 0, 0, 1, 3, 2, 0, 1, 3, 2, 3, 3, 0, 0, 0, 1, 0, 3, + 3, 2, 2, 2, 1, 1, 2, 2, 1, 3, 2, 0, 1, 3, 2, 0, 2, 1, 3, 0, + 0, 0, 1, 3, 3, 2, 2, 2, 3, 1, 0, 0, 1, 1, 2, 1, 3, 1, 1, 2, + 2, 3, 2, 3, 0, 2, 3, 3, 0, 3, 0, 0, 1, 0, 0, 0, 1, 3, 1, 1, + 2, 3, 2, 1, 1, 2, 2, 2, 3, 0, 1, 1, 2, 1, 2, 0, 2, 3, 1, 3, + 0, 1, 1, 3, 0, 2, 3, 0, 1, 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 2, + 3, 0, 1, 1, 1, 1, 2, 0, 1, 2, 0, 1, 1, 1, 0, 1, 3, 2, 3, 1, + 0, 2, 1, 2, 1, 3, 3, 1, 0, 2, 2, 3, 1, 3, 1, 3, 0, 1, 0, 3, + 0, 3, 2, 0, 3, 3, 3, 0, 3, 2, 2, 2, 1, 3, 0, 0, 1, 1, 3, 0, + 1, 2, 1, 0, 0, 0, 3, 2, 2, 0, 0, 2, 1, 3, 0, 0, 3, 0, 0, 2, + 1, 1, 2, 2, 1, 3, 2, 2, 1, 1, 2, 1, 3, 2, 1, 1, 3, 0, 1, 3, + 3, 2, 2, 1, 0, 3, 2, 2, 2, 3, 0, 1, 3, 3, 2, 3, 0, 3, 2, 3, + 1, 1, 0, 0, 0, 2, 3, 0, 3, 0, 1, 1, 3, 1, 3, 2, 1, 1, 2, 1, + 3, 2, 0, 2, 1, 0, 2, 3, 2, 3, 2, 1, 2, 3, 0, 0, 1, 1, 0, 0, + 2, 1, 0, 1, 2, 2, 2, 2, 0, 3, 3, 1, 0, 0, 0, 0, 3, 1, 1, 0, + 0, 0, 0, 1, 2, 2, 1, 3, 0, 2, 3, 2, 3, 2, 2, 1, 2, 2, 3, 3, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 2, 2, 3, 1, 1, 1, 0, 0, 0, 3, 0, + 1, 0, 3, 1, 1, 3, 0, 1, 2, 2, 0, 0, 3, 3, 3, 3, 2, 1, 0, 0, + 1, 0, 2, 0, 1, 1, 0, 0, 3, 3, 2, 1, 1, 1, 0, 1, 1, 2, 2, 1, + 1, 2, 0, 3, 1, 3, 1, 0, 3, 0, 3, 1, 1, 1, 0, 2, 0, 3, 1, 0, + 1, 0, 2, 0, 2, 3, 3, 3, 1, 2, 3, 2, 2, 0, 1, 1, 0, 3, 3, 1, + 3, 3, 2, 0, 2, 0, 2, 2, 3, 3, 3, 0, 2, 3, 3, 1, 3, 2, 2, 2, + 0, 2, 3, 0, 2, 0, 3, 2, 2, 1, 1, 0, 2, 2, 2, 0, 2, 2, 0, 1, + 3, 2, 1, 3, 2, 2, 0, 3, 3, 1, 2, 2, 0, 0, 3, 2, 1, 2, 2, 1, + 3, 1, 2, 0, 0, 1, 1, 2, 1, 3, 2, 2, 3, 0, 2, 1, 3, 2, 1, 3, + 2, 3, 3, 1, 2, 1, 2, 2, 0, 0, 0, 3, 0, 2, 3, 1, 0, 0, 2, 3, + 3, 2, 2, 1 +}; + +static data_t input2_data[ARRAY_SIZE] = +{ + 1, 1, 0, 3, 1, 2, 0, 0, 0, 0, 0, 2, 1, 2, 3, 0, 0, 3, 3, 2, + 2, 1, 2, 3, 3, 0, 2, 2, 1, 1, 2, 2, 0, 2, 2, 1, 2, 3, 2, 2, + 3, 3, 2, 2, 1, 1, 1, 1, 2, 1, 2, 2, 3, 3, 3, 0, 0, 3, 2, 3, + 2, 3, 1, 2, 1, 1, 2, 2, 0, 1, 0, 3, 2, 1, 1, 1, 2, 0, 1, 2, + 2, 0, 2, 1, 3, 3, 2, 3, 2, 0, 3, 1, 3, 3, 2, 0, 1, 0, 1, 1, + 2, 2, 1, 1, 2, 2, 1, 2, 3, 3, 1, 3, 2, 2, 2, 3, 3, 1, 0, 2, + 1, 0, 0, 0, 1, 1, 2, 0, 3, 2, 3, 3, 0, 2, 3, 1, 0, 0, 2, 1, + 2, 0, 2, 1, 1, 2, 3, 1, 3, 2, 1, 0, 0, 0, 0, 0, 2, 2, 0, 2, + 1, 2, 0, 3, 2, 2, 0, 0, 3, 2, 1, 1, 3, 0, 2, 0, 0, 1, 0, 2, + 3, 3, 1, 3, 3, 0, 0, 2, 2, 0, 0, 0, 1, 0, 0, 1, 3, 0, 2, 1, + 3, 2, 2, 1, 3, 2, 0, 1, 2, 2, 3, 2, 1, 1, 1, 1, 3, 0, 1, 3, + 2, 2, 3, 1, 1, 2, 0, 2, 1, 1, 2, 3, 1, 0, 1, 0, 1, 1, 0, 0, + 2, 0, 3, 0, 3, 0, 3, 2, 2, 3, 3, 2, 1, 0, 2, 2, 1, 1, 0, 3, + 3, 2, 2, 0, 0, 3, 0, 1, 0, 0, 1, 2, 0, 1, 3, 0, 1, 2, 2, 0, + 0, 3, 0, 3, 0, 1, 1, 2, 0, 0, 0, 3, 0, 0, 2, 1, 1, 1, 0, 2, + 1, 3, 1, 2, 0, 3, 0, 3, 1, 3, 0, 0, 2, 2, 2, 2, 3, 3, 2, 1, + 2, 2, 1, 1, 2, 2, 2, 2, 0, 3, 0, 0, 2, 0, 1, 2, 0, 3, 2, 3, + 2, 0, 2, 1, 2, 1, 0, 2, 1, 1, 3, 2, 2, 3, 1, 0, 3, 3, 1, 0, + 3, 2, 2, 0, 0, 3, 0, 0, 2, 0, 3, 2, 3, 1, 1, 0, 0, 2, 3, 0, + 0, 1, 1, 1, 2, 1, 3, 2, 1, 3, 0, 1, 3, 3, 1, 1, 1, 1, 1, 1, + 0, 0, 2, 3, 2, 2, 2, 3, 2, 3, 1, 2, 3, 2, 2, 2, 0, 1, 3, 0, + 1, 1, 0, 1, 0, 1, 1, 3, 3, 1, 2, 2, 3, 2, 0, 2, 2, 0, 1, 3, + 0, 1, 3, 2, 1, 3, 3, 2, 0, 1, 3, 2, 0, 2, 1, 1, 0, 3, 0, 1, + 1, 1, 1, 1, 3, 0, 0, 1, 0, 2, 3, 1, 3, 0, 2, 1, 3, 0, 3, 0, + 3, 2, 2, 0, 0, 2, 1, 3, 3, 2, 3, 2, 2, 1, 2, 2, 3, 0, 3, 2, + 2, 0, 3, 2, 3, 2, 0, 0, 1, 2, 0, 0, 2, 0, 0, 3, 3, 2, 0, 0, + 3, 3, 0, 2, 3, 1, 0, 1, 0, 2, 1, 0, 2, 1, 0, 1, 0, 3, 0, 2, + 2, 3, 0, 0, 2, 1, 0, 1, 0, 0, 0, 2, 2, 3, 2, 0, 3, 3, 2, 1, + 0, 0, 3, 1, 2, 3, 3, 1, 0, 3, 1, 1, 0, 3, 3, 3, 2, 2, 2, 0, + 1, 2, 0, 3, 0, 1, 0, 1, 1, 0, 1, 2, 0, 3, 2, 0, 1, 2, 2, 0, + 2, 0, 0, 1, 0, 3, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 1, 1, 1, 0, + 2, 1, 1, 3, 2, 0, 2, 1, 1, 0, 2, 2, 1, 3, 0, 2, 1, 0, 1, 2, + 0, 1, 3, 2, 3, 2, 1, 0, 2, 0, 2, 2, 3, 1, 1, 3, 2, 3, 2, 2, + 0, 2, 0, 0, 0, 3, 2, 0, 2, 2, 3, 3, 3, 2, 1, 2, 0, 0, 3, 0, + 2, 0, 3, 2, 2, 3, 0, 3, 2, 1, 2, 2, 1, 2, 0, 0, 3, 1, 2, 0, + 2, 3, 2, 2, 1, 1, 1, 3, 3, 3, 3, 3, 1, 3, 0, 1, 3, 2, 2, 1, + 0, 1, 1, 2, 1, 2, 3, 1, 2, 2, 1, 2, 1, 1, 0, 3, 3, 1, 1, 3, + 2, 0, 0, 1, 2, 0, 1, 3, 1, 0, 0, 2, 2, 3, 3, 0, 2, 3, 2, 1, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 3, 3, 3, 1, 3, 0, 3, 1, 1, 2, 2, + 2, 1, 0, 3, 2, 3, 0, 2, 3, 2, 3, 1, 2, 3, 3, 1, 2, 1, 0, 0, + 0, 3, 3, 3, 3, 0, 3, 3, 3, 3, 2, 1, 0, 3, 0, 3, 2, 3, 1, 0, + 0, 1, 3, 1, 0, 2, 2, 3, 1, 0, 2, 1, 1, 3, 1, 1, 3, 1, 2, 1, + 0, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 3, 3, 1, 0, 3, 1, 1, 2, 0, + 0, 0, 2, 3, 3, 2, 2, 3, 0, 2, 3, 1, 3, 3, 0, 2, 1, 2, 2, 2, + 1, 0, 1, 3, 2, 3, 1, 1, 2, 1, 1, 0, 0, 2, 3, 2, 1, 0, 3, 1, + 3, 0, 1, 1, 2, 2, 1, 3, 3, 1, 1, 0, 0, 3, 3, 0, 0, 0, 0, 0, + 3, 1, 3, 0, 0, 0, 3, 3, 2, 1, 3, 0, 1, 3, 1, 1, 1, 0, 1, 0, + 1, 2, 2, 2, 3, 3, 0, 2, 3, 2, 1, 3, 3, 1, 1, 3, 0, 3, 3, 2, + 1, 1, 2, 0, 3, 0, 1, 2, 1, 1, 0, 0, 1, 2, 2, 0, 3, 1, 1, 1, + 3, 3, 3, 1, 0, 3, 3, 2, 2, 2, 1, 2, 0, 1, 1, 3, 0, 3, 1, 0, + 2, 2, 0, 1, 2, 3, 2, 1, 2, 0, 3, 2, 1, 3, 0, 1, 2, 0, 3, 0, + 1, 1, 2, 1 +}; + +static data_t verify_data[ARRAY_SIZE] = +{ + 72, 75, 88, 101, 80, 88, 73, 75, 80, 81, 58, 75, 86, 65, 60, 80, 84, 83, 87, 83, + 108, 93, 85, 76, 72, 98, 79, 86, 80, 96, 91, 85, 72, 64, 70, 83, 68, 92, 51, 54, + 85, 85, 60, 58, 90, 64, 55, 69, 72, 48, 94, 77, 91, 83, 70, 69, 67, 77, 59, 50, + 67, 74, 77, 67, 67, 62, 72, 71, 68, 79, 54, 61, 67, 61, 55, 62, 78, 60, 53, 64, + 67, 69, 99, 68, 88, 60, 66, 63, 70, 62, 65, 50, 53, 66, 70, 72, 75, 78, 85, 95, + 71, 89, 70, 68, 86, 88, 58, 77, 84, 70, 65, 68, 73, 75, 91, 96, 105, 92, 76, 68, + 86, 69, 80, 59, 73, 83, 88, 75, 64, 63, 71, 99, 77, 77, 69, 55, 80, 73, 54, 73, + 87, 78, 60, 69, 65, 78, 86, 89, 95, 92, 63, 69, 89, 61, 80, 65, 70, 77, 89, 77, + 79, 79, 73, 92, 64, 81, 60, 78, 81, 80, 61, 63, 89, 65, 56, 83, 77, 65, 102, 70, + 98, 86, 96, 68, 72, 89, 73, 73, 70, 89, 84, 76, 48, 61, 63, 70, 70, 79, 50, 53, + 64, 63, 43, 51, 59, 62, 43, 63, 55, 77, 79, 74, 75, 74, 64, 44, 65, 69, 72, 66, + 54, 71, 74, 72, 69, 76, 68, 89, 94, 75, 65, 53, 85, 79, 65, 74, 82, 73, 58, 70, + 84, 77, 99, 72, 92, 84, 78, 62, 59, 83, 71, 74, 63, 85, 80, 78, 71, 72, 79, 83, + 73, 82, 60, 85, 76, 82, 60, 70, 82, 68, 54, 85, 84, 70, 86, 74, 100, 88, 98, 68, + 67, 87, 69, 73, 68, 88, 76, 71, 47, 43, 47, 80, 54, 65, 40, 37, 59, 53, 33, 48, + 62, 40, 36, 55, 36, 62, 53, 57, 70, 69, 45, 43, 53, 61, 42, 57, 56, 63, 51, 47, + 59, 75, 64, 89, 83, 75, 59, 75, 91, 92, 58, 64, 83, 74, 58, 60, 76, 66, 97, 69, + 90, 95, 92, 64, 78, 75, 77, 73, 65, 78, 82, 75, 47, 54, 59, 71, 59, 56, 53, 42, + 60, 55, 40, 51, 60, 46, 36, 59, 46, 57, 67, 43, 51, 53, 53, 38, 54, 56, 55, 48, + 41, 46, 63, 63, 80, 77, 89, 102, 89, 98, 74, 86, 98, 93, 63, 76, 98, 77, 48, 101, + 86, 88, 100, 82, 102, 90, 95, 75, 86, 103, 83, 98, 80, 104, 98, 86, 71, 74, 80, 90, + 86, 87, 73, 70, 81, 83, 55, 66, 90, 66, 58, 84, 77, 84, 93, 72, 99, 75, 85, 65, + 70, 89, 71, 82, 64, 79, 82, 80, 67, 73, 86, 101, 78, 97, 66, 64, 84, 80, 55, 64, + 79, 73, 51, 79, 89, 68, 94, 77, 109, 102, 82, 61, 66, 93, 88, 70, 82, 82, 85, 69, + 69, 72, 66, 97, 85, 90, 70, 59, 76, 89, 53, 56, 90, 79, 71, 64, 70, 67, 100, 92, + 106, 89, 83, 78, 73, 80, 70, 72, 65, 70, 92, 88, 57, 76, 55, 85, 66, 80, 61, 63, + 63, 78, 54, 58, 71, 73, 54, 63, 63, 62, 89, 76, 86, 81, 83, 54, 70, 81, 78, 64, + 56, 72, 74, 81, 75, 63, 68, 89, 65, 77, 58, 68, 75, 83, 52, 62, 82, 63, 55, 75, + 51, 70, 95, 66, 83, 77, 86, 61, 64, 77, 48, 70, 66, 82, 72, 75, 79, 71, 72, 89, + 78, 78, 66, 59, 91, 80, 55, 64, 79, 68, 54, 71, 67, 75, 87, 84, 100, 101, 76, 58, + 74, 82, 61, 74, 75, 97, 85, 79, 61, 55, 69, 68, 72, 65, 52, 64, 80, 73, 48, 54, + 71, 66, 42, 61, 66, 63, 92, 64, 85, 77, 73, 54, 74, 73, 76, 66, 62, 79, 85, 70, + 71, 84, 87, 81, 88, 86, 77, 77, 93, 88, 78, 71, 101, 89, 58, 84, 95, 81, 89, 97, + 104, 79, 83, 76, 90, 81, 91, 74, 70, 76, 91, 80, 51, 48, 56, 69, 47, 63, 54, 42, + 63, 63, 42, 52, 66, 56, 39, 59, 61, 52, 59, 63, 62, 68, 57, 35, 67, 58, 56, 52, + 61, 63, 60, 47, 85, 75, 89, 106, 88, 95, 74, 82, 107, 107, 64, 78, 98, 90, 62, 91, + 79, 87, 111, 84, 104, 106, 96, 68, 94, 99, 81, 89, 79, 105, 95, 86, 65, 63, 77, 89, + 66, 88, 56, 73, 82, 92, 41, 62, 85, 66, 50, 81, 57, 71, 77, 78, 86, 89, 77, 53, + 67, 78, 61, 63, 72, 82, 69, 66, 59, 46, 55, 70, 56, 64, 45, 50, 65, 64, 42, 56, + 78, 49, 51, 52, 38, 56, 72, 55, 73, 72, 61, 50, 63, 60, 47, 57, 55, 73, 53, 68, + 85, 88, 91, 96, 82, 89, 73, 76, 87, 86, 67, 69, 96, 84, 57, 89, 87, 89, 99, 88, + 104, 90, 85, 75, 88, 92, 85, 75, 74, 87, 103, 94, 55, 48, 56, 65, 72, 50, 45, 51, + 63, 62, 47, 57, 79, 53, 36, 63, 54, 68, 71, 59, 63, 61, 63, 41, 50, 73, 57, 59, + 56, 76, 73, 65, 61, 64, 61, 79, 53, 73, 57, 44, 61, 59, 59, 56, 81, 59, 49, 62, + 65, 55, 69, 72, 79, 70, 58, 57, 68, 61, 62, 50, 57, 60, 66, 66, 63, 77, 81, 89, + 85, 81, 76, 73, 78, 95, 59, 70, 81, 77, 46, 79, 78, 79, 83, 81, 84, 82, 85, 48, + 74, 85, 85, 74, 74, 80, 80, 74, 60, 76, 80, 97, 88, 93, 66, 66, 73, 84, 56, 70, + 90, 63, 58, 78, 73, 93, 90, 78, 94, 88, 82, 67, 85, 70, 81, 86, 74, 82, 88, 82, + 68, 73, 75, 91, 78, 97, 71, 66, 74, 85, 50, 59, 86, 77, 70, 74, 75, 74, 99, 82, + 99, 91, 86, 65, 80, 77, 72, 69, 60, 78, 90, 87, 79, 69, 74, 98, 70, 86, 81, 67, + 69, 78, 48, 65, 88, 70, 70, 70, 69, 72, 96, 90, 99, 82, 81, 76, 98, 73, 74, 71, + 69, 73, 94, 89 +}; + diff --git a/mt/av_matmul/matmul_gendata.pl b/mt/av_matmul/matmul_gendata.pl new file mode 100755 index 0000000..f21bb46 --- /dev/null +++ b/mt/av_matmul/matmul_gendata.pl @@ -0,0 +1,200 @@ +#!/usr/bin/perl -w +#========================================================================== +# matmul_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the matmul benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: matmul_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[ARRAY_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3d",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + + + +#-------------------------------------------------------------------------- +# Matmul +#-------------------------------------------------------------------------- + +# http://answers.oreilly.com/topic/418-how-to-multiply-matrices-in-perl/ + +sub mmult { + my ($m1,$m2) = @_; + my ($m1rows,$m1cols) = matdim($m1); + my ($m2rows,$m2cols) = matdim($m2); + + my $result = [ ]; + my ($i, $j, $k); + + for $i (range($m1rows)) { + for $j (range($m2cols)) { + for $k (range($m1cols)) { + $result->[$i][$j] += $m1->[$i][$k] * $m2->[$k][$j]; + } + } + } + return $result; +} + +sub range { 0 .. ($_[0] - 1) } + + +sub veclen { + my $ary_ref = $_[0]; + my $type = ref $ary_ref; + if ($type ne "ARRAY") { die "$type is bad array ref for $ary_ref" } + return scalar(@$ary_ref); +} + +sub matdim { + my $matrix = $_[0]; + my $rows = veclen($matrix); + my $cols = veclen($matrix->[0]); + return ($rows, $cols); +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + # create random input arrays + my $mat_values1; + my $mat_values2; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + $mat_values1->[$i][$j] = int(rand(4)); + $mat_values2->[$i][$j] = int(rand(4)); + } + } + + # perform matmul + my $mat_results = mmult( $mat_values1, $mat_values2 ); + + # translate 2d arrays to 1d-somethings (I don't know how to code in perl - Chris) + my @values1; + my @values2; + my @results; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + my $value1 = $mat_values1->[$i][$j]; + my $value2 = $mat_values2->[$i][$j]; + my $result = $mat_results->[$i][$j]; + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @results, $result ); + } + } + + print "\n\#define ARRAY_SIZE ".($opts{"size"}*$opts{"size"})." \n\n"; + print "\n\#define DIM_SIZE ".$opts{"size"}." \n\n"; + + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@results); + +} + +main(); + diff --git a/mt/av_matmul/matmul_mi.c b/mt/av_matmul/matmul_mi.c new file mode 100644 index 0000000..4cdac76 --- /dev/null +++ b/mt/av_matmul/matmul_mi.c @@ -0,0 +1,2209 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + + //-------------------------------------------------------------first working version best 500k + /* + static __thread int i, j, k; + if(coreid == 0) + { + for ( j = 0; j < lda; j+=2 ) + { + for ( k = 0; k < lda; k++ ) + { + for ( i = 0; i < lda; i++) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + } + } + + if(coreid ==1) + { + for ( j = 1; j < lda; j+=2 ) + { + for ( k = 0;k < lda; k++) + { + for ( i = 0; i < lda; i++) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + + } + } + } + } + */ + //-------------------------------------------------------------version1.1, take read out of inner loop,300k + /* + static __thread int i, j, k; + static __thread data_t TempA; + + if(coreid == 0) + { + for ( j = 0; j < lda; j+=2 ) + { + for ( k = 0; k < lda; k++ ) + { + TempA = A[j*lda + k]; + for ( i = 0; i < lda; i++) + { + C[i + j*lda] += TempA* B[k*lda + i]; + } + } + } + } + + if(coreid ==1) + { + for ( j = 1; j < lda; j+=2 ) + { + for ( k = 0;k < lda; k++) + { + TempA = A[j*lda + k]; + for ( i = 0; i < lda; i++) + { + C[i + j*lda] += TempA* B[k*lda + i]; + } + } + } + } + */ + //-------------------------------------------------------------version2.0, read 8 elements in B at one time. 140k mi, MSI117.0k + /* + static __thread int i, j, k, m, n; + static __thread data_t TempA; + static __thread data_t TempB[8]; + + if(coreid == 0) + { + for ( j = 0; j < lda; j+=2 ) + { + for ( k = 0; k < lda; k++ ) + { + TempA = A[j*lda + k]; + for( n = 0; n < 4; n++) + { + + TempB[0] = B[k*lda+0+8*n]; + TempB[1] = B[k*lda+1+8*n]; + TempB[2] = B[k*lda+2+8*n]; + TempB[3] = B[k*lda+3+8*n]; + TempB[4] = B[k*lda+4+8*n]; + TempB[5] = B[k*lda+5+8*n]; + TempB[6] = B[k*lda+6+8*n]; + TempB[7] = B[k*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA * TempB[0]; + C[1+8*n+j*lda] += TempA * TempB[1]; + C[2+8*n+j*lda] += TempA * TempB[2]; + C[3+8*n+j*lda] += TempA * TempB[3]; + C[4+8*n+j*lda] += TempA * TempB[4]; + C[5+8*n+j*lda] += TempA * TempB[5]; + C[6+8*n+j*lda] += TempA * TempB[6]; + C[7+8*n+j*lda] += TempA * TempB[7]; + + } + + } + } + } + + if(coreid == 1) + { + for ( j = 1; j < lda; j+=2 ) + { + for ( k = 0; k < lda; k++ ) + { + TempA = A[j*lda + k]; + for( n = 0; n < 4; n++) + { + + TempB[0] = B[k*lda+0+8*n]; + TempB[1] = B[k*lda+1+8*n]; + TempB[2] = B[k*lda+2+8*n]; + TempB[3] = B[k*lda+3+8*n]; + TempB[4] = B[k*lda+4+8*n]; + TempB[5] = B[k*lda+5+8*n]; + TempB[6] = B[k*lda+6+8*n]; + TempB[7] = B[k*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA * TempB[0]; + C[1+8*n+j*lda] += TempA * TempB[1]; + C[2+8*n+j*lda] += TempA * TempB[2]; + C[3+8*n+j*lda] += TempA * TempB[3]; + C[4+8*n+j*lda] += TempA * TempB[4]; + C[5+8*n+j*lda] += TempA * TempB[5]; + C[6+8*n+j*lda] += TempA * TempB[6]; + C[7+8*n+j*lda] += TempA * TempB[7]; + + } + + } + } + } + */ + + //-------------------------------------------------------------version2.1, optimize k. 700k. bad move to v2.2. + //-------------------------------------------------------------version2.9 take off all inner loops for both cores, MSI,109K. MI 182k + //-------------------------------------------------------------version2.10 use i= j*lda inside the n loop increase speed. but not out m and n. tried replace first 3, get 104.9k + /* + static __thread int j, m, i,n; + static __thread data_t TempA[8]; + static __thread data_t TempB[8]; + + if(coreid == 1) + { + for ( j = 1; j < lda; j+=2 ) + { + + for ( m = 0; m < 4; m++ ) + { + + TempA[0] = A[j*lda+0+8*m]; + TempA[1] = A[j*lda+1+8*m]; + TempA[2] = A[j*lda+2+8*m]; + TempA[3] = A[j*lda+3+8*m]; + TempA[4] = A[j*lda+4+8*m]; + TempA[5] = A[j*lda+5+8*m]; + TempA[6] = A[j*lda+6+8*m]; + TempA[7] = A[j*lda+7+8*m]; + + for( n = 0; n < 4; n++) + { + i = j*lda; + + TempB[0] = B[(0+8*m)*lda+0+8*n]; + TempB[1] = B[(0+8*m)*lda+1+8*n]; + TempB[2] = B[(0+8*m)*lda+2+8*n]; + TempB[3] = B[(0+8*m)*lda+3+8*n]; + TempB[4] = B[(0+8*m)*lda+4+8*n]; + TempB[5] = B[(0+8*m)*lda+5+8*n]; + TempB[6] = B[(0+8*m)*lda+6+8*n]; + TempB[7] = B[(0+8*m)*lda+7+8*n]; + + C[0+8*n+i] += TempA[0] * TempB[0]; + C[1+8*n+i] += TempA[0] * TempB[1]; + C[2+8*n+i] += TempA[0] * TempB[2]; + C[3+8*n+i] += TempA[0] * TempB[3]; + C[4+8*n+i] += TempA[0] * TempB[4]; + C[5+8*n+i] += TempA[0] * TempB[5]; + C[6+8*n+i] += TempA[0] * TempB[6]; + C[7+8*n+i] += TempA[0] * TempB[7]; + + + + TempB[0] = B[(1+8*m)*lda+0+8*n]; + TempB[1] = B[(1+8*m)*lda+1+8*n]; + TempB[2] = B[(1+8*m)*lda+2+8*n]; + TempB[3] = B[(1+8*m)*lda+3+8*n]; + TempB[4] = B[(1+8*m)*lda+4+8*n]; + TempB[5] = B[(1+8*m)*lda+5+8*n]; + TempB[6] = B[(1+8*m)*lda+6+8*n]; + TempB[7] = B[(1+8*m)*lda+7+8*n]; + + C[0+8*n+i] += TempA[1] * TempB[0]; + C[1+8*n+i] += TempA[1] * TempB[1]; + C[2+8*n+i] += TempA[1] * TempB[2]; + C[3+8*n+i] += TempA[1] * TempB[3]; + C[4+8*n+i] += TempA[1] * TempB[4]; + C[5+8*n+i] += TempA[1] * TempB[5]; + C[6+8*n+i] += TempA[1] * TempB[6]; + C[7+8*n+i] += TempA[1] * TempB[7]; + + + + TempB[0] = B[(2+8*m)*lda+0+8*n]; + TempB[1] = B[(2+8*m)*lda+1+8*n]; + TempB[2] = B[(2+8*m)*lda+2+8*n]; + TempB[3] = B[(2+8*m)*lda+3+8*n]; + TempB[4] = B[(2+8*m)*lda+4+8*n]; + TempB[5] = B[(2+8*m)*lda+5+8*n]; + TempB[6] = B[(2+8*m)*lda+6+8*n]; + TempB[7] = B[(2+8*m)*lda+7+8*n]; + + C[0+8*n+i] += TempA[2] * TempB[0]; + C[1+8*n+i] += TempA[2] * TempB[1]; + C[2+8*n+i] += TempA[2] * TempB[2]; + C[3+8*n+i] += TempA[2] * TempB[3]; + C[4+8*n+i] += TempA[2] * TempB[4]; + C[5+8*n+i] += TempA[2] * TempB[5]; + C[6+8*n+i] += TempA[2] * TempB[6]; + C[7+8*n+i] += TempA[2] * TempB[7]; + + + + TempB[0] = B[(3+8*m)*lda+0+8*n]; + TempB[1] = B[(3+8*m)*lda+1+8*n]; + TempB[2] = B[(3+8*m)*lda+2+8*n]; + TempB[3] = B[(3+8*m)*lda+3+8*n]; + TempB[4] = B[(3+8*m)*lda+4+8*n]; + TempB[5] = B[(3+8*m)*lda+5+8*n]; + TempB[6] = B[(3+8*m)*lda+6+8*n]; + TempB[7] = B[(3+8*m)*lda+7+8*n]; + + C[0+8*n+i] += TempA[3] * TempB[0]; + C[1+8*n+i] += TempA[3] * TempB[1]; + C[2+8*n+i] += TempA[3] * TempB[2]; + C[3+8*n+i] += TempA[3] * TempB[3]; + C[4+8*n+i] += TempA[3] * TempB[4]; + C[5+8*n+i] += TempA[3] * TempB[5]; + C[6+8*n+i] += TempA[3] * TempB[6]; + C[7+8*n+i] += TempA[3] * TempB[7]; + + + TempB[0] = B[(4+8*m)*lda+0+8*n]; + TempB[1] = B[(4+8*m)*lda+1+8*n]; + TempB[2] = B[(4+8*m)*lda+2+8*n]; + TempB[3] = B[(4+8*m)*lda+3+8*n]; + TempB[4] = B[(4+8*m)*lda+4+8*n]; + TempB[5] = B[(4+8*m)*lda+5+8*n]; + TempB[6] = B[(4+8*m)*lda+6+8*n]; + TempB[7] = B[(4+8*m)*lda+7+8*n]; + + C[0+8*n+i] += TempA[4] * TempB[0]; + C[1+8*n+i] += TempA[4] * TempB[1]; + C[2+8*n+i] += TempA[4] * TempB[2]; + C[3+8*n+i] += TempA[4] * TempB[3]; + C[4+8*n+i] += TempA[4] * TempB[4]; + C[5+8*n+i] += TempA[4] * TempB[5]; + C[6+8*n+i] += TempA[4] * TempB[6]; + C[7+8*n+i] += TempA[4] * TempB[7]; + + + + TempB[0] = B[(5+8*m)*lda+0+8*n]; + TempB[1] = B[(5+8*m)*lda+1+8*n]; + TempB[2] = B[(5+8*m)*lda+2+8*n]; + TempB[3] = B[(5+8*m)*lda+3+8*n]; + TempB[4] = B[(5+8*m)*lda+4+8*n]; + TempB[5] = B[(5+8*m)*lda+5+8*n]; + TempB[6] = B[(5+8*m)*lda+6+8*n]; + TempB[7] = B[(5+8*m)*lda+7+8*n]; + + C[0+8*n+i] += TempA[5] * TempB[0]; + C[1+8*n+i] += TempA[5] * TempB[1]; + C[2+8*n+i] += TempA[5] * TempB[2]; + C[3+8*n+i] += TempA[5] * TempB[3]; + C[4+8*n+i] += TempA[5] * TempB[4]; + C[5+8*n+i] += TempA[5] * TempB[5]; + C[6+8*n+i] += TempA[5] * TempB[6]; + C[7+8*n+i] += TempA[5] * TempB[7]; + + + + TempB[0] = B[(6+8*m)*lda+0+8*n]; + TempB[1] = B[(6+8*m)*lda+1+8*n]; + TempB[2] = B[(6+8*m)*lda+2+8*n]; + TempB[3] = B[(6+8*m)*lda+3+8*n]; + TempB[4] = B[(6+8*m)*lda+4+8*n]; + TempB[5] = B[(6+8*m)*lda+5+8*n]; + TempB[6] = B[(6+8*m)*lda+6+8*n]; + TempB[7] = B[(6+8*m)*lda+7+8*n]; + + C[0+8*n+i] += TempA[6] * TempB[0]; + C[1+8*n+i] += TempA[6] * TempB[1]; + C[2+8*n+i] += TempA[6] * TempB[2]; + C[3+8*n+i] += TempA[6] * TempB[3]; + C[4+8*n+i] += TempA[6] * TempB[4]; + C[5+8*n+i] += TempA[6] * TempB[5]; + C[6+8*n+i] += TempA[6] * TempB[6]; + C[7+8*n+i] += TempA[6] * TempB[7]; + + + TempB[0] = B[(7+8*m)*lda+0+8*n]; + TempB[1] = B[(7+8*m)*lda+1+8*n]; + TempB[2] = B[(7+8*m)*lda+2+8*n]; + TempB[3] = B[(7+8*m)*lda+3+8*n]; + TempB[4] = B[(7+8*m)*lda+4+8*n]; + TempB[5] = B[(7+8*m)*lda+5+8*n]; + TempB[6] = B[(7+8*m)*lda+6+8*n]; + TempB[7] = B[(7+8*m)*lda+7+8*n]; + + C[0+8*n+i] += TempA[7] * TempB[0]; + C[1+8*n+i] += TempA[7] * TempB[1]; + C[2+8*n+i] += TempA[7] * TempB[2]; + C[3+8*n+i] += TempA[7] * TempB[3]; + C[4+8*n+i] += TempA[7] * TempB[4]; + C[5+8*n+i] += TempA[7] * TempB[5]; + C[6+8*n+i] += TempA[7] * TempB[6]; + C[7+8*n+i] += TempA[7] * TempB[7]; + } + + } + } + } + if(coreid == 0) + { + for ( j = 0; j < lda; j+=2 ) + { + + for ( m = 0; m < 4; m++ ) + { + + TempA[0] = A[j*lda+0+8*m]; + TempA[1] = A[j*lda+1+8*m]; + TempA[2] = A[j*lda+2+8*m]; + TempA[3] = A[j*lda+3+8*m]; + TempA[4] = A[j*lda+4+8*m]; + TempA[5] = A[j*lda+5+8*m]; + TempA[6] = A[j*lda+6+8*m]; + TempA[7] = A[j*lda+7+8*m]; + + for( n = 0; n < 4; n++) + { + i = j*lda; + + TempB[0] = B[(0+8*m)*lda+0+8*n]; + TempB[1] = B[(0+8*m)*lda+1+8*n]; + TempB[2] = B[(0+8*m)*lda+2+8*n]; + TempB[3] = B[(0+8*m)*lda+3+8*n]; + TempB[4] = B[(0+8*m)*lda+4+8*n]; + TempB[5] = B[(0+8*m)*lda+5+8*n]; + TempB[6] = B[(0+8*m)*lda+6+8*n]; + TempB[7] = B[(0+8*m)*lda+7+8*n]; + + C[0+8*n+i] += TempA[0] * TempB[0]; + C[1+8*n+i] += TempA[0] * TempB[1]; + C[2+8*n+i] += TempA[0] * TempB[2]; + C[3+8*n+i] += TempA[0] * TempB[3]; + C[4+8*n+i] += TempA[0] * TempB[4]; + C[5+8*n+i] += TempA[0] * TempB[5]; + C[6+8*n+i] += TempA[0] * TempB[6]; + C[7+8*n+i] += TempA[0] * TempB[7]; + + + + TempB[0] = B[(1+8*m)*lda+0+8*n]; + TempB[1] = B[(1+8*m)*lda+1+8*n]; + TempB[2] = B[(1+8*m)*lda+2+8*n]; + TempB[3] = B[(1+8*m)*lda+3+8*n]; + TempB[4] = B[(1+8*m)*lda+4+8*n]; + TempB[5] = B[(1+8*m)*lda+5+8*n]; + TempB[6] = B[(1+8*m)*lda+6+8*n]; + TempB[7] = B[(1+8*m)*lda+7+8*n]; + + C[0+8*n+i] += TempA[1] * TempB[0]; + C[1+8*n+i] += TempA[1] * TempB[1]; + C[2+8*n+i] += TempA[1] * TempB[2]; + C[3+8*n+i] += TempA[1] * TempB[3]; + C[4+8*n+i] += TempA[1] * TempB[4]; + C[5+8*n+i] += TempA[1] * TempB[5]; + C[6+8*n+i] += TempA[1] * TempB[6]; + C[7+8*n+i] += TempA[1] * TempB[7]; + + + + TempB[0] = B[(2+8*m)*lda+0+8*n]; + TempB[1] = B[(2+8*m)*lda+1+8*n]; + TempB[2] = B[(2+8*m)*lda+2+8*n]; + TempB[3] = B[(2+8*m)*lda+3+8*n]; + TempB[4] = B[(2+8*m)*lda+4+8*n]; + TempB[5] = B[(2+8*m)*lda+5+8*n]; + TempB[6] = B[(2+8*m)*lda+6+8*n]; + TempB[7] = B[(2+8*m)*lda+7+8*n]; + + C[0+8*n+i] += TempA[2] * TempB[0]; + C[1+8*n+i] += TempA[2] * TempB[1]; + C[2+8*n+i] += TempA[2] * TempB[2]; + C[3+8*n+i] += TempA[2] * TempB[3]; + C[4+8*n+i] += TempA[2] * TempB[4]; + C[5+8*n+i] += TempA[2] * TempB[5]; + C[6+8*n+i] += TempA[2] * TempB[6]; + C[7+8*n+i] += TempA[2] * TempB[7]; + + + + TempB[0] = B[(3+8*m)*lda+0+8*n]; + TempB[1] = B[(3+8*m)*lda+1+8*n]; + TempB[2] = B[(3+8*m)*lda+2+8*n]; + TempB[3] = B[(3+8*m)*lda+3+8*n]; + TempB[4] = B[(3+8*m)*lda+4+8*n]; + TempB[5] = B[(3+8*m)*lda+5+8*n]; + TempB[6] = B[(3+8*m)*lda+6+8*n]; + TempB[7] = B[(3+8*m)*lda+7+8*n]; + + C[0+8*n+i] += TempA[3] * TempB[0]; + C[1+8*n+i] += TempA[3] * TempB[1]; + C[2+8*n+i] += TempA[3] * TempB[2]; + C[3+8*n+i] += TempA[3] * TempB[3]; + C[4+8*n+i] += TempA[3] * TempB[4]; + C[5+8*n+i] += TempA[3] * TempB[5]; + C[6+8*n+i] += TempA[3] * TempB[6]; + C[7+8*n+i] += TempA[3] * TempB[7]; + + + TempB[0] = B[(4+8*m)*lda+0+8*n]; + TempB[1] = B[(4+8*m)*lda+1+8*n]; + TempB[2] = B[(4+8*m)*lda+2+8*n]; + TempB[3] = B[(4+8*m)*lda+3+8*n]; + TempB[4] = B[(4+8*m)*lda+4+8*n]; + TempB[5] = B[(4+8*m)*lda+5+8*n]; + TempB[6] = B[(4+8*m)*lda+6+8*n]; + TempB[7] = B[(4+8*m)*lda+7+8*n]; + + C[0+8*n+i] += TempA[4] * TempB[0]; + C[1+8*n+i] += TempA[4] * TempB[1]; + C[2+8*n+i] += TempA[4] * TempB[2]; + C[3+8*n+i] += TempA[4] * TempB[3]; + C[4+8*n+i] += TempA[4] * TempB[4]; + C[5+8*n+i] += TempA[4] * TempB[5]; + C[6+8*n+i] += TempA[4] * TempB[6]; + C[7+8*n+i] += TempA[4] * TempB[7]; + + + + TempB[0] = B[(5+8*m)*lda+0+8*n]; + TempB[1] = B[(5+8*m)*lda+1+8*n]; + TempB[2] = B[(5+8*m)*lda+2+8*n]; + TempB[3] = B[(5+8*m)*lda+3+8*n]; + TempB[4] = B[(5+8*m)*lda+4+8*n]; + TempB[5] = B[(5+8*m)*lda+5+8*n]; + TempB[6] = B[(5+8*m)*lda+6+8*n]; + TempB[7] = B[(5+8*m)*lda+7+8*n]; + + C[0+8*n+i] += TempA[5] * TempB[0]; + C[1+8*n+i] += TempA[5] * TempB[1]; + C[2+8*n+i] += TempA[5] * TempB[2]; + C[3+8*n+i] += TempA[5] * TempB[3]; + C[4+8*n+i] += TempA[5] * TempB[4]; + C[5+8*n+i] += TempA[5] * TempB[5]; + C[6+8*n+i] += TempA[5] * TempB[6]; + C[7+8*n+i] += TempA[5] * TempB[7]; + + + + TempB[0] = B[(6+8*m)*lda+0+8*n]; + TempB[1] = B[(6+8*m)*lda+1+8*n]; + TempB[2] = B[(6+8*m)*lda+2+8*n]; + TempB[3] = B[(6+8*m)*lda+3+8*n]; + TempB[4] = B[(6+8*m)*lda+4+8*n]; + TempB[5] = B[(6+8*m)*lda+5+8*n]; + TempB[6] = B[(6+8*m)*lda+6+8*n]; + TempB[7] = B[(6+8*m)*lda+7+8*n]; + + C[0+8*n+i] += TempA[6] * TempB[0]; + C[1+8*n+i] += TempA[6] * TempB[1]; + C[2+8*n+i] += TempA[6] * TempB[2]; + C[3+8*n+i] += TempA[6] * TempB[3]; + C[4+8*n+i] += TempA[6] * TempB[4]; + C[5+8*n+i] += TempA[6] * TempB[5]; + C[6+8*n+i] += TempA[6] * TempB[6]; + C[7+8*n+i] += TempA[6] * TempB[7]; + + + TempB[0] = B[(7+8*m)*lda+0+8*n]; + TempB[1] = B[(7+8*m)*lda+1+8*n]; + TempB[2] = B[(7+8*m)*lda+2+8*n]; + TempB[3] = B[(7+8*m)*lda+3+8*n]; + TempB[4] = B[(7+8*m)*lda+4+8*n]; + TempB[5] = B[(7+8*m)*lda+5+8*n]; + TempB[6] = B[(7+8*m)*lda+6+8*n]; + TempB[7] = B[(7+8*m)*lda+7+8*n]; + + C[0+8*n+i] += TempA[7] * TempB[0]; + C[1+8*n+i] += TempA[7] * TempB[1]; + C[2+8*n+i] += TempA[7] * TempB[2]; + C[3+8*n+i] += TempA[7] * TempB[3]; + C[4+8*n+i] += TempA[7] * TempB[4]; + C[5+8*n+i] += TempA[7] * TempB[5]; + C[6+8*n+i] += TempA[7] * TempB[6]; + C[7+8*n+i] += TempA[7] * TempB[7]; + } + + } + } + } + + */ + //-------------------------------------------------------------version2.2, optimize k. from 4 instead of 8 like v2.1, random failing on MI, unknown reason, MSI,350K, take off each inner loop for core 0 260k, both cores 134k + //-------------------------------------------------------------try false sharing for core 0, 136k. + /* + static __thread int j, m, n; + static __thread data_t TempA[4]; + static __thread data_t TempB[4]; + + if(coreid == 1) + { + for ( j = 1; j < lda; j+=2 ) + { + for ( m = 0; m < 8; m++ ) + { + TempA[0] = A[j*lda+0+4*m]; + TempA[1] = A[j*lda+1+4*m]; + TempA[2] = A[j*lda+2+4*m]; + TempA[3] = A[j*lda+3+4*m]; + + for( n = 0; n < 8; n++) + { + + TempB[0] = B[(0+4*m)*lda+0+4*n]; + TempB[1] = B[(0+4*m)*lda+1+4*n]; + TempB[2] = B[(0+4*m)*lda+2+4*n]; + TempB[3] = B[(0+4*m)*lda+3+4*n]; + + + C[0+4*n+j*lda] += TempA[0] * TempB[0]; + C[1+4*n+j*lda] += TempA[0] * TempB[1]; + C[2+4*n+j*lda] += TempA[0] * TempB[2]; + C[3+4*n+j*lda] += TempA[0] * TempB[3]; + + + + + + TempB[0] = B[(1+4*m)*lda+0+4*n]; + TempB[1] = B[(1+4*m)*lda+1+4*n]; + TempB[2] = B[(1+4*m)*lda+2+4*n]; + TempB[3] = B[(1+4*m)*lda+3+4*n]; + + + C[0+4*n+j*lda] += TempA[1] * TempB[0]; + C[1+4*n+j*lda] += TempA[1] * TempB[1]; + C[2+4*n+j*lda] += TempA[1] * TempB[2]; + C[3+4*n+j*lda] += TempA[1] * TempB[3]; + + + + TempB[0] = B[(2+4*m)*lda+0+4*n]; + TempB[1] = B[(2+4*m)*lda+1+4*n]; + TempB[2] = B[(2+4*m)*lda+2+4*n]; + TempB[3] = B[(2+4*m)*lda+3+4*n]; + + + C[0+4*n+j*lda] += TempA[2] * TempB[0]; + C[1+4*n+j*lda] += TempA[2] * TempB[1]; + C[2+4*n+j*lda] += TempA[2] * TempB[2]; + C[3+4*n+j*lda] += TempA[2] * TempB[3]; + + + + + TempB[0] = B[(3+4*m)*lda+0+4*n]; + TempB[1] = B[(3+4*m)*lda+1+4*n]; + TempB[2] = B[(3+4*m)*lda+2+4*n]; + TempB[3] = B[(3+4*m)*lda+3+4*n]; + + + C[0+4*n+j*lda] += TempA[3] * TempB[0]; + C[1+4*n+j*lda] += TempA[3] * TempB[1]; + C[2+4*n+j*lda] += TempA[3] * TempB[2]; + C[3+4*n+j*lda] += TempA[3] * TempB[3]; + + + } + } + } + } + if(coreid == 0) + { + for ( j = 0; j < lda; j+=2 ) + { + for ( m = 0; m < 8; m++ ) + { + TempA[0] = A[j*lda+0+4*m]; + TempA[1] = A[j*lda+1+4*m]; + TempA[2] = A[j*lda+2+4*m]; + TempA[3] = A[j*lda+3+4*m]; + + for( n = 0; n < 8; n++) + { + + + + + + + + TempB[0] = B[(1+4*m)*lda+0+4*n]; + TempB[1] = B[(1+4*m)*lda+1+4*n]; + TempB[2] = B[(1+4*m)*lda+2+4*n]; + TempB[3] = B[(1+4*m)*lda+3+4*n]; + + + C[0+4*n+j*lda] += TempA[1] * TempB[0]; + C[1+4*n+j*lda] += TempA[1] * TempB[1]; + C[2+4*n+j*lda] += TempA[1] * TempB[2]; + C[3+4*n+j*lda] += TempA[1] * TempB[3]; + + + + TempB[0] = B[(2+4*m)*lda+0+4*n]; + TempB[1] = B[(2+4*m)*lda+1+4*n]; + TempB[2] = B[(2+4*m)*lda+2+4*n]; + TempB[3] = B[(2+4*m)*lda+3+4*n]; + + + C[0+4*n+j*lda] += TempA[2] * TempB[0]; + C[1+4*n+j*lda] += TempA[2] * TempB[1]; + C[2+4*n+j*lda] += TempA[2] * TempB[2]; + C[3+4*n+j*lda] += TempA[2] * TempB[3]; + + + + + TempB[0] = B[(3+4*m)*lda+0+4*n]; + TempB[1] = B[(3+4*m)*lda+1+4*n]; + TempB[2] = B[(3+4*m)*lda+2+4*n]; + TempB[3] = B[(3+4*m)*lda+3+4*n]; + + + C[0+4*n+j*lda] += TempA[3] * TempB[0]; + C[1+4*n+j*lda] += TempA[3] * TempB[1]; + C[2+4*n+j*lda] += TempA[3] * TempB[2]; + C[3+4*n+j*lda] += TempA[3] * TempB[3]; + + TempB[0] = B[(0+4*m)*lda+0+4*n]; + TempB[1] = B[(0+4*m)*lda+1+4*n]; + TempB[2] = B[(0+4*m)*lda+2+4*n]; + TempB[3] = B[(0+4*m)*lda+3+4*n]; + + + C[0+4*n+j*lda] += TempA[0] * TempB[0]; + C[1+4*n+j*lda] += TempA[0] * TempB[1]; + C[2+4*n+j*lda] += TempA[0] * TempB[2]; + C[3+4*n+j*lda] += TempA[0] * TempB[3]; + + + } + } + } + } + */ + + + + //-------------------------------------------------------------version2.3, read 8 elements in B at one time. make k to 2. 150k mi 128k msi. worse than v2.0 + /* + static __thread int i, j, k, m, n; + static __thread data_t TempA[2]; + static __thread data_t TempB[8]; + + if(coreid == 0) + { + for ( j = 0; j < lda; j+=2 ) + { + for ( m = 0; m < 16; m++ ) + { + TempA[0] = A[j*lda + 0 + 2*m]; + TempA[1] = A[j*lda + 1 + 2*m]; + for( n = 0; n < 4; n++) + { + + TempB[0] = B[2*m*lda+0+8*n]; + TempB[1] = B[2*m*lda+1+8*n]; + TempB[2] = B[2*m*lda+2+8*n]; + TempB[3] = B[2*m*lda+3+8*n]; + TempB[4] = B[2*m*lda+4+8*n]; + TempB[5] = B[2*m*lda+5+8*n]; + TempB[6] = B[2*m*lda+6+8*n]; + TempB[7] = B[2*m*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA[0] * TempB[0]; + C[1+8*n+j*lda] += TempA[0] * TempB[1]; + C[2+8*n+j*lda] += TempA[0] * TempB[2]; + C[3+8*n+j*lda] += TempA[0] * TempB[3]; + C[4+8*n+j*lda] += TempA[0] * TempB[4]; + C[5+8*n+j*lda] += TempA[0] * TempB[5]; + C[6+8*n+j*lda] += TempA[0] * TempB[6]; + C[7+8*n+j*lda] += TempA[0] * TempB[7]; + + TempB[0] = B[(1+2*m)*lda+0+8*n]; + TempB[1] = B[(1+2*m)*lda+1+8*n]; + TempB[2] = B[(1+2*m)*lda+2+8*n]; + TempB[3] = B[(1+2*m)*lda+3+8*n]; + TempB[4] = B[(1+2*m)*lda+4+8*n]; + TempB[5] = B[(1+2*m)*lda+5+8*n]; + TempB[6] = B[(1+2*m)*lda+6+8*n]; + TempB[7] = B[(1+2*m)*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA[1] * TempB[0]; + C[1+8*n+j*lda] += TempA[1] * TempB[1]; + C[2+8*n+j*lda] += TempA[1] * TempB[2]; + C[3+8*n+j*lda] += TempA[1] * TempB[3]; + C[4+8*n+j*lda] += TempA[1] * TempB[4]; + C[5+8*n+j*lda] += TempA[1] * TempB[5]; + C[6+8*n+j*lda] += TempA[1] * TempB[6]; + C[7+8*n+j*lda] += TempA[1] * TempB[7]; + + } + + } + } + } + + if(coreid == 1) + { + for ( j = 1; j < lda; j+=2 ) + { + for ( m = 0; m < 16; m++ ) + { + TempA[0] = A[j*lda + 0 + 2*m]; + TempA[1] = A[j*lda + 1 + 2*m]; + for( n = 0; n < 4; n++) + { + + TempB[0] = B[2*m*lda+0+8*n]; + TempB[1] = B[2*m*lda+1+8*n]; + TempB[2] = B[2*m*lda+2+8*n]; + TempB[3] = B[2*m*lda+3+8*n]; + TempB[4] = B[2*m*lda+4+8*n]; + TempB[5] = B[2*m*lda+5+8*n]; + TempB[6] = B[2*m*lda+6+8*n]; + TempB[7] = B[2*m*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA[0] * TempB[0]; + C[1+8*n+j*lda] += TempA[0] * TempB[1]; + C[2+8*n+j*lda] += TempA[0] * TempB[2]; + C[3+8*n+j*lda] += TempA[0] * TempB[3]; + C[4+8*n+j*lda] += TempA[0] * TempB[4]; + C[5+8*n+j*lda] += TempA[0] * TempB[5]; + C[6+8*n+j*lda] += TempA[0] * TempB[6]; + C[7+8*n+j*lda] += TempA[0] * TempB[7]; + + TempB[0] = B[(1+2*m)*lda+0+8*n]; + TempB[1] = B[(1+2*m)*lda+1+8*n]; + TempB[2] = B[(1+2*m)*lda+2+8*n]; + TempB[3] = B[(1+2*m)*lda+3+8*n]; + TempB[4] = B[(1+2*m)*lda+4+8*n]; + TempB[5] = B[(1+2*m)*lda+5+8*n]; + TempB[6] = B[(1+2*m)*lda+6+8*n]; + TempB[7] = B[(1+2*m)*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA[1] * TempB[0]; + C[1+8*n+j*lda] += TempA[1] * TempB[1]; + C[2+8*n+j*lda] += TempA[1] * TempB[2]; + C[3+8*n+j*lda] += TempA[1] * TempB[3]; + C[4+8*n+j*lda] += TempA[1] * TempB[4]; + C[5+8*n+j*lda] += TempA[1] * TempB[5]; + C[6+8*n+j*lda] += TempA[1] * TempB[6]; + C[7+8*n+j*lda] += TempA[1] * TempB[7]; + + } + + } + } + } + */ + //-------------------------------------------------------------version2.4, read 4 170k and 16 140k, error because not enough space elements in B at one time. + /* + static __thread int i, j, k, m, n; + static __thread data_t TempA; + static __thread data_t TempB[16]; + + if(coreid == 0) + { + for ( j = 0; j < lda; j+=2 ) + { + for ( k = 0; k < lda; k++ ) + { + TempA = A[j*lda + k]; + for( n = 0; n < 2; n++) + { + + TempB[0] = B[k*lda+0+16*n]; + TempB[1] = B[k*lda+1+16*n]; + TempB[2] = B[k*lda+2+16*n]; + TempB[3] = B[k*lda+3+16*n]; + TempB[4] = B[k*lda+4+16*n]; + TempB[5] = B[k*lda+5+16*n]; + TempB[6] = B[k*lda+6+16*n]; + TempB[7] = B[k*lda+7+16*n]; + TempB[8] = B[k*lda+8+16*n]; + TempB[9] = B[k*lda+9+16*n]; + TempB[10] = B[k*lda+10+16*n]; + TempB[11] = B[k*lda+11+16*n]; + TempB[12] = B[k*lda+12+16*n]; + TempB[13] = B[k*lda+13+16*n]; + TempB[14] = B[k*lda+14+16*n]; + TempB[15] = B[k*lda+15+16*n]; + + + C[0+16*n+j*lda] += TempA * TempB[0]; + C[1+16*n+j*lda] += TempA * TempB[1]; + C[2+16*n+j*lda] += TempA * TempB[2]; + C[3+16*n+j*lda] += TempA * TempB[3]; + C[4+16*n+j*lda] += TempA * TempB[4]; + C[5+16*n+j*lda] += TempA * TempB[5]; + C[6+16*n+j*lda] += TempA * TempB[6]; + C[7+16*n+j*lda] += TempA * TempB[7]; + C[8+16*n+j*lda] += TempA * TempB[8]; + C[9+16*n+j*lda] += TempA * TempB[9]; + C[10+16*n+j*lda] += TempA * TempB[10]; + C[11+16*n+j*lda] += TempA * TempB[11]; + C[12+16*n+j*lda] += TempA * TempB[12]; + C[13+16*n+j*lda] += TempA * TempB[13]; + C[14+16*n+j*lda] += TempA * TempB[14]; + C[15+16*n+j*lda] += TempA * TempB[15]; + + + + } + + } + } + } + if(coreid == 1) + { + for ( j = 1; j < lda; j+=2 ) + { + for ( k = 0; k < lda; k++ ) + { + TempA = A[j*lda + k]; + for( n = 0; n < 2; n++) + { + + TempB[0] = B[k*lda+0+16*n]; + TempB[1] = B[k*lda+1+16*n]; + TempB[2] = B[k*lda+2+16*n]; + TempB[3] = B[k*lda+3+16*n]; + TempB[4] = B[k*lda+4+16*n]; + TempB[5] = B[k*lda+5+16*n]; + TempB[6] = B[k*lda+6+16*n]; + TempB[7] = B[k*lda+7+16*n]; + TempB[8] = B[k*lda+8+16*n]; + TempB[9] = B[k*lda+9+16*n]; + TempB[10] = B[k*lda+10+16*n]; + TempB[11] = B[k*lda+11+16*n]; + TempB[12] = B[k*lda+12+16*n]; + TempB[13] = B[k*lda+13+16*n]; + TempB[14] = B[k*lda+14+16*n]; + TempB[15] = B[k*lda+15+16*n]; + + + C[0+16*n+j*lda] += TempA * TempB[0]; + C[1+16*n+j*lda] += TempA * TempB[1]; + C[2+16*n+j*lda] += TempA * TempB[2]; + C[3+16*n+j*lda] += TempA * TempB[3]; + C[4+16*n+j*lda] += TempA * TempB[4]; + C[5+16*n+j*lda] += TempA * TempB[5]; + C[6+16*n+j*lda] += TempA * TempB[6]; + C[7+16*n+j*lda] += TempA * TempB[7]; + C[8+16*n+j*lda] += TempA * TempB[8]; + C[9+16*n+j*lda] += TempA * TempB[9]; + C[10+16*n+j*lda] += TempA * TempB[10]; + C[11+16*n+j*lda] += TempA * TempB[11]; + C[12+16*n+j*lda] += TempA * TempB[12]; + C[13+16*n+j*lda] += TempA * TempB[13]; + C[14+16*n+j*lda] += TempA * TempB[14]; + C[15+16*n+j*lda] += TempA * TempB[15]; + + + + } + + } + } + } + + */ + //-------------------------------------------------------------version2.5, read 10 elements in B at one time. has corner cases. Turns out it hangs. + /* + static __thread int j, k, n; + static __thread data_t TempA; + static __thread data_t TempB[10]; + + if(coreid == 0) + { + for ( j = 0; j < lda; j+=2 ) + { + for ( k = 0; k < lda; k++ ) + { + TempA = A[j*lda + k]; + for( n = 0; n < 3; n++) + { + TempB[0] = B[k*lda+0+10*n]; + TempB[1] = B[k*lda+1+10*n]; + TempB[2] = B[k*lda+2+10*n]; + TempB[3] = B[k*lda+3+10*n]; + TempB[4] = B[k*lda+4+10*n]; + TempB[5] = B[k*lda+5+10*n]; + TempB[6] = B[k*lda+6+10*n]; + TempB[7] = B[k*lda+7+10*n]; + TempB[8] = B[k*lda+8+10*n]; + TempB[9] = B[k*lda+9+10*n]; + + C[0+10*n+j*lda] += TempA * TempB[0]; + C[1+10*n+j*lda] += TempA * TempB[1]; + C[2+10*n+j*lda] += TempA * TempB[2]; + C[3+10*n+j*lda] += TempA * TempB[3]; + C[4+10*n+j*lda] += TempA * TempB[4]; + C[5+10*n+j*lda] += TempA * TempB[5]; + C[6+10*n+j*lda] += TempA * TempB[6]; + C[7+10*n+j*lda] += TempA * TempB[7]; + C[8+10*n+j*lda] += TempA * TempB[8]; + C[9+10*n+j*lda] += TempA * TempB[9]; + } + TempB[0] = B[k*lda+30]; + TempB[1] = B[k*lda+31]; + C[30+j*lda] += TempA * TempB[0]; + C[31+j*lda] += TempA * TempB[1]; + } + } + } + if(coreid == 1) + { + for ( j = 1; j < lda; j+=2 ) + { + for ( k = 0; k < lda; k++ ) + { + TempA = A[j*lda + k]; + for( n = 0; n < 3; n++) + { + TempB[0] = B[k*lda+0+10*n]; + TempB[1] = B[k*lda+1+10*n]; + TempB[2] = B[k*lda+2+10*n]; + TempB[3] = B[k*lda+3+10*n]; + TempB[4] = B[k*lda+4+10*n]; + TempB[5] = B[k*lda+5+10*n]; + TempB[6] = B[k*lda+6+10*n]; + TempB[7] = B[k*lda+7+10*n]; + TempB[8] = B[k*lda+8+10*n]; + TempB[9] = B[k*lda+9+10*n]; + + C[0+10*n+j*lda] += TempA * TempB[0]; + C[1+10*n+j*lda] += TempA * TempB[1]; + C[2+10*n+j*lda] += TempA * TempB[2]; + C[3+10*n+j*lda] += TempA * TempB[3]; + C[4+10*n+j*lda] += TempA * TempB[4]; + C[5+10*n+j*lda] += TempA * TempB[5]; + C[6+10*n+j*lda] += TempA * TempB[6]; + C[7+10*n+j*lda] += TempA * TempB[7]; + C[8+10*n+j*lda] += TempA * TempB[8]; + C[9+10*n+j*lda] += TempA * TempB[9]; + } + TempB[0] = B[k*lda+30]; + TempB[1] = B[k*lda+31]; + C[30+j*lda] += TempA * TempB[0]; + C[31+j*lda] += TempA * TempB[1]; + } + } + } + + */ + + //-------------------------------------------------------------version2.6, optimize 2.0. take off n loop and tried different order of reading B + /* + static __thread int j, k, n; + static __thread data_t TempA; + static __thread data_t TempB[8]; + + if(coreid == 0) + { + for ( j = 0; j < lda; j+=2 ) + { + for ( k = 0; k < lda; k++ ) + { + TempA = A[j*lda + k]; + + TempB[0] = B[k*lda+0]; + TempB[1] = B[k*lda+1]; + TempB[2] = B[k*lda+2]; + TempB[3] = B[k*lda+3]; + TempB[4] = B[k*lda+4]; + TempB[5] = B[k*lda+5]; + TempB[6] = B[k*lda+6]; + TempB[7] = B[k*lda+7]; + + C[0+j*lda] += TempA * TempB[0]; + C[1+j*lda] += TempA * TempB[1]; + C[2+j*lda] += TempA * TempB[2]; + C[3+j*lda] += TempA * TempB[3]; + C[4+j*lda] += TempA * TempB[4]; + C[5+j*lda] += TempA * TempB[5]; + C[6+j*lda] += TempA * TempB[6]; + C[7+j*lda] += TempA * TempB[7]; + + TempB[0] = B[k*lda+8]; + TempB[1] = B[k*lda+9]; + TempB[2] = B[k*lda+10]; + TempB[3] = B[k*lda+11]; + TempB[4] = B[k*lda+12]; + TempB[5] = B[k*lda+13]; + TempB[6] = B[k*lda+14]; + TempB[7] = B[k*lda+15]; + + C[8+j*lda] += TempA * TempB[0]; + C[9+j*lda] += TempA * TempB[1]; + C[10+j*lda] += TempA * TempB[2]; + C[11+j*lda] += TempA * TempB[3]; + C[12+j*lda] += TempA * TempB[4]; + C[13+j*lda] += TempA * TempB[5]; + C[14+j*lda] += TempA * TempB[6]; + C[15+j*lda] += TempA * TempB[7]; + + TempB[0] = B[k*lda+16]; + TempB[1] = B[k*lda+17]; + TempB[2] = B[k*lda+18]; + TempB[3] = B[k*lda+19]; + TempB[4] = B[k*lda+20]; + TempB[5] = B[k*lda+21]; + TempB[6] = B[k*lda+22]; + TempB[7] = B[k*lda+23]; + + C[16+j*lda] += TempA * TempB[0]; + C[17+j*lda] += TempA * TempB[1]; + C[18+j*lda] += TempA * TempB[2]; + C[19+j*lda] += TempA * TempB[3]; + C[20+j*lda] += TempA * TempB[4]; + C[21+j*lda] += TempA * TempB[5]; + C[22+j*lda] += TempA * TempB[6]; + C[23+j*lda] += TempA * TempB[7]; + + TempB[0] = B[k*lda+24]; + TempB[1] = B[k*lda+25]; + TempB[2] = B[k*lda+26]; + TempB[3] = B[k*lda+27]; + TempB[4] = B[k*lda+28]; + TempB[5] = B[k*lda+29]; + TempB[6] = B[k*lda+30]; + TempB[7] = B[k*lda+31]; + + C[24+j*lda] += TempA * TempB[0]; + C[25+j*lda] += TempA * TempB[1]; + C[26+j*lda] += TempA * TempB[2]; + C[27+j*lda] += TempA * TempB[3]; + C[28+j*lda] += TempA * TempB[4]; + C[29+j*lda] += TempA * TempB[5]; + C[30+j*lda] += TempA * TempB[6]; + C[31+j*lda] += TempA * TempB[7]; + + + + } + } + } + + if(coreid == 1) + { + for ( j = 1; j < lda; j+=2 ) + { + for ( k = 0; k < lda; k++ ) + { + TempA = A[j*lda + k]; + + + TempB[0] = B[k*lda+24]; + TempB[1] = B[k*lda+25]; + TempB[2] = B[k*lda+26]; + TempB[3] = B[k*lda+27]; + TempB[4] = B[k*lda+28]; + TempB[5] = B[k*lda+29]; + TempB[6] = B[k*lda+30]; + TempB[7] = B[k*lda+31]; + + C[24+j*lda] += TempA * TempB[0]; + C[25+j*lda] += TempA * TempB[1]; + C[26+j*lda] += TempA * TempB[2]; + C[27+j*lda] += TempA * TempB[3]; + C[28+j*lda] += TempA * TempB[4]; + C[29+j*lda] += TempA * TempB[5]; + C[30+j*lda] += TempA * TempB[6]; + C[31+j*lda] += TempA * TempB[7]; + + TempB[0] = B[k*lda+0]; + TempB[1] = B[k*lda+1]; + TempB[2] = B[k*lda+2]; + TempB[3] = B[k*lda+3]; + TempB[4] = B[k*lda+4]; + TempB[5] = B[k*lda+5]; + TempB[6] = B[k*lda+6]; + TempB[7] = B[k*lda+7]; + + C[0+j*lda] += TempA * TempB[0]; + C[1+j*lda] += TempA * TempB[1]; + C[2+j*lda] += TempA * TempB[2]; + C[3+j*lda] += TempA * TempB[3]; + C[4+j*lda] += TempA * TempB[4]; + C[5+j*lda] += TempA * TempB[5]; + C[6+j*lda] += TempA * TempB[6]; + C[7+j*lda] += TempA * TempB[7]; + + TempB[0] = B[k*lda+8]; + TempB[1] = B[k*lda+9]; + TempB[2] = B[k*lda+10]; + TempB[3] = B[k*lda+11]; + TempB[4] = B[k*lda+12]; + TempB[5] = B[k*lda+13]; + TempB[6] = B[k*lda+14]; + TempB[7] = B[k*lda+15]; + + C[8+j*lda] += TempA * TempB[0]; + C[9+j*lda] += TempA * TempB[1]; + C[10+j*lda] += TempA * TempB[2]; + C[11+j*lda] += TempA * TempB[3]; + C[12+j*lda] += TempA * TempB[4]; + C[13+j*lda] += TempA * TempB[5]; + C[14+j*lda] += TempA * TempB[6]; + C[15+j*lda] += TempA * TempB[7]; + + TempB[0] = B[k*lda+16]; + TempB[1] = B[k*lda+17]; + TempB[2] = B[k*lda+18]; + TempB[3] = B[k*lda+19]; + TempB[4] = B[k*lda+20]; + TempB[5] = B[k*lda+21]; + TempB[6] = B[k*lda+22]; + TempB[7] = B[k*lda+23]; + + C[16+j*lda] += TempA * TempB[0]; + C[17+j*lda] += TempA * TempB[1]; + C[18+j*lda] += TempA * TempB[2]; + C[19+j*lda] += TempA * TempB[3]; + C[20+j*lda] += TempA * TempB[4]; + C[21+j*lda] += TempA * TempB[5]; + C[22+j*lda] += TempA * TempB[6]; + C[23+j*lda] += TempA * TempB[7]; + + + + + + + } + } + } + */ + //-------------------------------------------------------------version2.7, use m=l*da, i=k*lda,out of stack, only i, MI 150k, only m, MSI 117.9k slower than v2.0 + /* + static __thread int i, j, k, m, n; + static __thread data_t TempA; + static __thread data_t TempB[8]; + + if(coreid == 0) + { + for ( j = 0; j < lda; j+=2 ) + { + m = j * lda; + for ( k = 0; k < lda; k++ ) + { + TempA = A[m+ k]; + for( n = 0; n < 4; n++) + { + + TempB[0] = B[k *lda+0+8*n]; + TempB[1] = B[k *lda+1+8*n]; + TempB[2] = B[k *lda+2+8*n]; + TempB[3] = B[k *lda+3+8*n]; + TempB[4] = B[k *lda+4+8*n]; + TempB[5] = B[k *lda+5+8*n]; + TempB[6] = B[k *lda+6+8*n]; + TempB[7] = B[k *lda+7+8*n]; + + C[0+8*n+m] += TempA * TempB[0]; + C[1+8*n+m] += TempA * TempB[1]; + C[2+8*n+m] += TempA * TempB[2]; + C[3+8*n+m] += TempA * TempB[3]; + C[4+8*n+m] += TempA * TempB[4]; + C[5+8*n+m] += TempA * TempB[5]; + C[6+8*n+m] += TempA * TempB[6]; + C[7+8*n+m] += TempA * TempB[7]; + + } + + } + } + } +if(coreid == 1) + { + for ( j = 1; j < lda; j+=2 ) + { + m = j * lda; + for ( k = 0; k < lda; k++ ) + { + TempA = A[m+ k]; + for( n = 0; n < 4; n++) + { + + TempB[0] = B[k *lda+0+8*n]; + TempB[1] = B[k *lda+1+8*n]; + TempB[2] = B[k *lda+2+8*n]; + TempB[3] = B[k *lda+3+8*n]; + TempB[4] = B[k *lda+4+8*n]; + TempB[5] = B[k *lda+5+8*n]; + TempB[6] = B[k *lda+6+8*n]; + TempB[7] = B[k *lda+7+8*n]; + + C[0+8*n+m] += TempA * TempB[0]; + C[1+8*n+m] += TempA * TempB[1]; + C[2+8*n+m] += TempA * TempB[2]; + C[3+8*n+m] += TempA * TempB[3]; + C[4+8*n+m] += TempA * TempB[4]; + C[5+8*n+m] += TempA * TempB[5]; + C[6+8*n+m] += TempA * TempB[6]; + C[7+8*n+m] += TempA * TempB[7]; + + } + + } + } + } + */ +//-------------------------------------------------------------version2.8 deal with false sharing, MSI,118K vs v2.0 117.0K. MI 147.629K. +/* +static __thread int i, j, k, m, n; + static __thread data_t TempA; + static __thread data_t TempB[8]; + + if(coreid == 0) + { + for ( j = 0; j < lda; j+=2 ) + { + for ( k = 0; k < lda; k++ ) + { + TempA = A[j*lda + k]; + for( n = 0; n < 2; n++) + { + + TempB[0] = B[k*lda+0+16*n]; + TempB[1] = B[k*lda+1+16*n]; + TempB[2] = B[k*lda+2+16*n]; + TempB[3] = B[k*lda+3+16*n]; + TempB[4] = B[k*lda+4+16*n]; + TempB[5] = B[k*lda+5+16*n]; + TempB[6] = B[k*lda+6+16*n]; + TempB[7] = B[k*lda+7+16*n]; + + + + C[0+16*n+j*lda] += TempA * TempB[0]; + C[1+16*n+j*lda] += TempA * TempB[1]; + C[2+16*n+j*lda] += TempA * TempB[2]; + C[3+16*n+j*lda] += TempA * TempB[3]; + C[4+16*n+j*lda] += TempA * TempB[4]; + C[5+16*n+j*lda] += TempA * TempB[5]; + C[6+16*n+j*lda] += TempA * TempB[6]; + C[7+16*n+j*lda] += TempA * TempB[7]; + + TempB[0] = B[k*lda+8+16*n]; + TempB[1] = B[k*lda+9+16*n]; + TempB[2] = B[k*lda+10+16*n]; + TempB[3] = B[k*lda+11+16*n]; + TempB[4] = B[k*lda+12+16*n]; + TempB[5] = B[k*lda+13+16*n]; + TempB[6] = B[k*lda+14+16*n]; + TempB[7] = B[k*lda+15+16*n]; + + C[8+16*n+j*lda] += TempA * TempB[0]; + C[9+16*n+j*lda] += TempA * TempB[1]; + C[10+16*n+j*lda] += TempA * TempB[2]; + C[11+16*n+j*lda] += TempA * TempB[3]; + C[12+16*n+j*lda] += TempA * TempB[4]; + C[13+16*n+j*lda] += TempA * TempB[5]; + C[14+16*n+j*lda] += TempA * TempB[6]; + C[15+16*n+j*lda] += TempA * TempB[7]; + + + + } + + } + } + } + if(coreid == 1) + { + for ( j = 1; j < lda; j+=2 ) + { + for ( k = 0; k < lda; k++ ) + { + TempA = A[j*lda + k]; + for( n = 0; n < 2; n++) + { + + + + TempB[0] = B[k*lda+8+16*n]; + TempB[1] = B[k*lda+9+16*n]; + TempB[2] = B[k*lda+10+16*n]; + TempB[3] = B[k*lda+11+16*n]; + TempB[4] = B[k*lda+12+16*n]; + TempB[5] = B[k*lda+13+16*n]; + TempB[6] = B[k*lda+14+16*n]; + TempB[7] = B[k*lda+15+16*n]; + + C[8+16*n+j*lda] += TempA * TempB[0]; + C[9+16*n+j*lda] += TempA * TempB[1]; + C[10+16*n+j*lda] += TempA * TempB[2]; + C[11+16*n+j*lda] += TempA * TempB[3]; + C[12+16*n+j*lda] += TempA * TempB[4]; + C[13+16*n+j*lda] += TempA * TempB[5]; + C[14+16*n+j*lda] += TempA * TempB[6]; + C[15+16*n+j*lda] += TempA * TempB[7]; + + TempB[0] = B[k*lda+0+16*n]; + TempB[1] = B[k*lda+1+16*n]; + TempB[2] = B[k*lda+2+16*n]; + TempB[3] = B[k*lda+3+16*n]; + TempB[4] = B[k*lda+4+16*n]; + TempB[5] = B[k*lda+5+16*n]; + TempB[6] = B[k*lda+6+16*n]; + TempB[7] = B[k*lda+7+16*n]; + + + + C[0+16*n+j*lda] += TempA * TempB[0]; + C[1+16*n+j*lda] += TempA * TempB[1]; + C[2+16*n+j*lda] += TempA * TempB[2]; + C[3+16*n+j*lda] += TempA * TempB[3]; + C[4+16*n+j*lda] += TempA * TempB[4]; + C[5+16*n+j*lda] += TempA * TempB[5]; + C[6+16*n+j*lda] += TempA * TempB[6]; + C[7+16*n+j*lda] += TempA * TempB[7]; + + + } + + } + } + } + */ + + //----------------------------------------------------------------version 2.11 optmize j,use core 1 j from 0 to 15 MSI 98k i = j*lda + //----------------------------------------------------------------version 2.12 not use i = j *lda MSI 95k + static __thread data_t TempA[8]; + static __thread data_t TempB[8]; + static __thread int j,m,n,i,k; + + if(coreid == 1) + { + for ( j = 16; j < 32; j++ ) + { + + for ( m = 0; m < 4; m++ ) + { + + TempA[0] = A[j*lda+0+8*m]; + TempA[1] = A[j*lda+1+8*m]; + TempA[2] = A[j*lda+2+8*m]; + TempA[3] = A[j*lda+3+8*m]; + TempA[4] = A[j*lda+4+8*m]; + TempA[5] = A[j*lda+5+8*m]; + TempA[6] = A[j*lda+6+8*m]; + TempA[7] = A[j*lda+7+8*m]; + + for( n = 0; n < 4; n++) + { + /* + i = j*lda; + + TempB[0] = B[(0+8*m)*lda+0+8*n]; + TempB[1] = B[(0+8*m)*lda+1+8*n]; + TempB[2] = B[(0+8*m)*lda+2+8*n]; + TempB[3] = B[(0+8*m)*lda+3+8*n]; + TempB[4] = B[(0+8*m)*lda+4+8*n]; + TempB[5] = B[(0+8*m)*lda+5+8*n]; + TempB[6] = B[(0+8*m)*lda+6+8*n]; + TempB[7] = B[(0+8*m)*lda+7+8*n]; + + C[0+8*n+i] += TempA[0] * TempB[0]; + C[1+8*n+i] += TempA[0] * TempB[1]; + C[2+8*n+i] += TempA[0] * TempB[2]; + C[3+8*n+i] += TempA[0] * TempB[3]; + C[4+8*n+i] += TempA[0] * TempB[4]; + C[5+8*n+i] += TempA[0] * TempB[5]; + C[6+8*n+i] += TempA[0] * TempB[6]; + C[7+8*n+i] += TempA[0] * TempB[7]; + + + + TempB[0] = B[(1+8*m)*lda+0+8*n]; + TempB[1] = B[(1+8*m)*lda+1+8*n]; + TempB[2] = B[(1+8*m)*lda+2+8*n]; + TempB[3] = B[(1+8*m)*lda+3+8*n]; + TempB[4] = B[(1+8*m)*lda+4+8*n]; + TempB[5] = B[(1+8*m)*lda+5+8*n]; + TempB[6] = B[(1+8*m)*lda+6+8*n]; + TempB[7] = B[(1+8*m)*lda+7+8*n]; + + C[0+8*n+i] += TempA[1] * TempB[0]; + C[1+8*n+i] += TempA[1] * TempB[1]; + C[2+8*n+i] += TempA[1] * TempB[2]; + C[3+8*n+i] += TempA[1] * TempB[3]; + C[4+8*n+i] += TempA[1] * TempB[4]; + C[5+8*n+i] += TempA[1] * TempB[5]; + C[6+8*n+i] += TempA[1] * TempB[6]; + C[7+8*n+i] += TempA[1] * TempB[7]; + + + + TempB[0] = B[(2+8*m)*lda+0+8*n]; + TempB[1] = B[(2+8*m)*lda+1+8*n]; + TempB[2] = B[(2+8*m)*lda+2+8*n]; + TempB[3] = B[(2+8*m)*lda+3+8*n]; + TempB[4] = B[(2+8*m)*lda+4+8*n]; + TempB[5] = B[(2+8*m)*lda+5+8*n]; + TempB[6] = B[(2+8*m)*lda+6+8*n]; + TempB[7] = B[(2+8*m)*lda+7+8*n]; + + C[0+8*n+i] += TempA[2] * TempB[0]; + C[1+8*n+i] += TempA[2] * TempB[1]; + C[2+8*n+i] += TempA[2] * TempB[2]; + C[3+8*n+i] += TempA[2] * TempB[3]; + C[4+8*n+i] += TempA[2] * TempB[4]; + C[5+8*n+i] += TempA[2] * TempB[5]; + C[6+8*n+i] += TempA[2] * TempB[6]; + C[7+8*n+i] += TempA[2] * TempB[7]; + + + + TempB[0] = B[(3+8*m)*lda+0+8*n]; + TempB[1] = B[(3+8*m)*lda+1+8*n]; + TempB[2] = B[(3+8*m)*lda+2+8*n]; + TempB[3] = B[(3+8*m)*lda+3+8*n]; + TempB[4] = B[(3+8*m)*lda+4+8*n]; + TempB[5] = B[(3+8*m)*lda+5+8*n]; + TempB[6] = B[(3+8*m)*lda+6+8*n]; + TempB[7] = B[(3+8*m)*lda+7+8*n]; + + C[0+8*n+i] += TempA[3] * TempB[0]; + C[1+8*n+i] += TempA[3] * TempB[1]; + C[2+8*n+i] += TempA[3] * TempB[2]; + C[3+8*n+i] += TempA[3] * TempB[3]; + C[4+8*n+i] += TempA[3] * TempB[4]; + C[5+8*n+i] += TempA[3] * TempB[5]; + C[6+8*n+i] += TempA[3] * TempB[6]; + C[7+8*n+i] += TempA[3] * TempB[7]; + + + TempB[0] = B[(4+8*m)*lda+0+8*n]; + TempB[1] = B[(4+8*m)*lda+1+8*n]; + TempB[2] = B[(4+8*m)*lda+2+8*n]; + TempB[3] = B[(4+8*m)*lda+3+8*n]; + TempB[4] = B[(4+8*m)*lda+4+8*n]; + TempB[5] = B[(4+8*m)*lda+5+8*n]; + TempB[6] = B[(4+8*m)*lda+6+8*n]; + TempB[7] = B[(4+8*m)*lda+7+8*n]; + + C[0+8*n+i] += TempA[4] * TempB[0]; + C[1+8*n+i] += TempA[4] * TempB[1]; + C[2+8*n+i] += TempA[4] * TempB[2]; + C[3+8*n+i] += TempA[4] * TempB[3]; + C[4+8*n+i] += TempA[4] * TempB[4]; + C[5+8*n+i] += TempA[4] * TempB[5]; + C[6+8*n+i] += TempA[4] * TempB[6]; + C[7+8*n+i] += TempA[4] * TempB[7]; + + + + TempB[0] = B[(5+8*m)*lda+0+8*n]; + TempB[1] = B[(5+8*m)*lda+1+8*n]; + TempB[2] = B[(5+8*m)*lda+2+8*n]; + TempB[3] = B[(5+8*m)*lda+3+8*n]; + TempB[4] = B[(5+8*m)*lda+4+8*n]; + TempB[5] = B[(5+8*m)*lda+5+8*n]; + TempB[6] = B[(5+8*m)*lda+6+8*n]; + TempB[7] = B[(5+8*m)*lda+7+8*n]; + + C[0+8*n+i] += TempA[5] * TempB[0]; + C[1+8*n+i] += TempA[5] * TempB[1]; + C[2+8*n+i] += TempA[5] * TempB[2]; + C[3+8*n+i] += TempA[5] * TempB[3]; + C[4+8*n+i] += TempA[5] * TempB[4]; + C[5+8*n+i] += TempA[5] * TempB[5]; + C[6+8*n+i] += TempA[5] * TempB[6]; + C[7+8*n+i] += TempA[5] * TempB[7]; + + + + TempB[0] = B[(6+8*m)*lda+0+8*n]; + TempB[1] = B[(6+8*m)*lda+1+8*n]; + TempB[2] = B[(6+8*m)*lda+2+8*n]; + TempB[3] = B[(6+8*m)*lda+3+8*n]; + TempB[4] = B[(6+8*m)*lda+4+8*n]; + TempB[5] = B[(6+8*m)*lda+5+8*n]; + TempB[6] = B[(6+8*m)*lda+6+8*n]; + TempB[7] = B[(6+8*m)*lda+7+8*n]; + + C[0+8*n+i] += TempA[6] * TempB[0]; + C[1+8*n+i] += TempA[6] * TempB[1]; + C[2+8*n+i] += TempA[6] * TempB[2]; + C[3+8*n+i] += TempA[6] * TempB[3]; + C[4+8*n+i] += TempA[6] * TempB[4]; + C[5+8*n+i] += TempA[6] * TempB[5]; + C[6+8*n+i] += TempA[6] * TempB[6]; + C[7+8*n+i] += TempA[6] * TempB[7]; + + + TempB[0] = B[(7+8*m)*lda+0+8*n]; + TempB[1] = B[(7+8*m)*lda+1+8*n]; + TempB[2] = B[(7+8*m)*lda+2+8*n]; + TempB[3] = B[(7+8*m)*lda+3+8*n]; + TempB[4] = B[(7+8*m)*lda+4+8*n]; + TempB[5] = B[(7+8*m)*lda+5+8*n]; + TempB[6] = B[(7+8*m)*lda+6+8*n]; + TempB[7] = B[(7+8*m)*lda+7+8*n]; + + C[0+8*n+i] += TempA[7] * TempB[0]; + C[1+8*n+i] += TempA[7] * TempB[1]; + C[2+8*n+i] += TempA[7] * TempB[2]; + C[3+8*n+i] += TempA[7] * TempB[3]; + C[4+8*n+i] += TempA[7] * TempB[4]; + C[5+8*n+i] += TempA[7] * TempB[5]; + C[6+8*n+i] += TempA[7] * TempB[6]; + C[7+8*n+i] += TempA[7] * TempB[7]; + + */ + TempB[0] = B[(0+8*m)*lda+0+8*n]; + TempB[1] = B[(0+8*m)*lda+1+8*n]; + TempB[2] = B[(0+8*m)*lda+2+8*n]; + TempB[3] = B[(0+8*m)*lda+3+8*n]; + TempB[4] = B[(0+8*m)*lda+4+8*n]; + TempB[5] = B[(0+8*m)*lda+5+8*n]; + TempB[6] = B[(0+8*m)*lda+6+8*n]; + TempB[7] = B[(0+8*m)*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA[0] * TempB[0]; + C[1+8*n+j*lda] += TempA[0] * TempB[1]; + C[2+8*n+j*lda] += TempA[0] * TempB[2]; + C[3+8*n+j*lda] += TempA[0] * TempB[3]; + C[4+8*n+j*lda] += TempA[0] * TempB[4]; + C[5+8*n+j*lda] += TempA[0] * TempB[5]; + C[6+8*n+j*lda] += TempA[0] * TempB[6]; + C[7+8*n+j*lda] += TempA[0] * TempB[7]; + + + + TempB[0] = B[(1+8*m)*lda+0+8*n]; + TempB[1] = B[(1+8*m)*lda+1+8*n]; + TempB[2] = B[(1+8*m)*lda+2+8*n]; + TempB[3] = B[(1+8*m)*lda+3+8*n]; + TempB[4] = B[(1+8*m)*lda+4+8*n]; + TempB[5] = B[(1+8*m)*lda+5+8*n]; + TempB[6] = B[(1+8*m)*lda+6+8*n]; + TempB[7] = B[(1+8*m)*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA[1] * TempB[0]; + C[1+8*n+j*lda] += TempA[1] * TempB[1]; + C[2+8*n+j*lda] += TempA[1] * TempB[2]; + C[3+8*n+j*lda] += TempA[1] * TempB[3]; + C[4+8*n+j*lda] += TempA[1] * TempB[4]; + C[5+8*n+j*lda] += TempA[1] * TempB[5]; + C[6+8*n+j*lda] += TempA[1] * TempB[6]; + C[7+8*n+j*lda] += TempA[1] * TempB[7]; + + + + TempB[0] = B[(2+8*m)*lda+0+8*n]; + TempB[1] = B[(2+8*m)*lda+1+8*n]; + TempB[2] = B[(2+8*m)*lda+2+8*n]; + TempB[3] = B[(2+8*m)*lda+3+8*n]; + TempB[4] = B[(2+8*m)*lda+4+8*n]; + TempB[5] = B[(2+8*m)*lda+5+8*n]; + TempB[6] = B[(2+8*m)*lda+6+8*n]; + TempB[7] = B[(2+8*m)*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA[2] * TempB[0]; + C[1+8*n+j*lda] += TempA[2] * TempB[1]; + C[2+8*n+j*lda] += TempA[2] * TempB[2]; + C[3+8*n+j*lda] += TempA[2] * TempB[3]; + C[4+8*n+j*lda] += TempA[2] * TempB[4]; + C[5+8*n+j*lda] += TempA[2] * TempB[5]; + C[6+8*n+j*lda] += TempA[2] * TempB[6]; + C[7+8*n+j*lda] += TempA[2] * TempB[7]; + + + + TempB[0] = B[(3+8*m)*lda+0+8*n]; + TempB[1] = B[(3+8*m)*lda+1+8*n]; + TempB[2] = B[(3+8*m)*lda+2+8*n]; + TempB[3] = B[(3+8*m)*lda+3+8*n]; + TempB[4] = B[(3+8*m)*lda+4+8*n]; + TempB[5] = B[(3+8*m)*lda+5+8*n]; + TempB[6] = B[(3+8*m)*lda+6+8*n]; + TempB[7] = B[(3+8*m)*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA[3] * TempB[0]; + C[1+8*n+j*lda] += TempA[3] * TempB[1]; + C[2+8*n+j*lda] += TempA[3] * TempB[2]; + C[3+8*n+j*lda] += TempA[3] * TempB[3]; + C[4+8*n+j*lda] += TempA[3] * TempB[4]; + C[5+8*n+j*lda] += TempA[3] * TempB[5]; + C[6+8*n+j*lda] += TempA[3] * TempB[6]; + C[7+8*n+j*lda] += TempA[3] * TempB[7]; + + + TempB[0] = B[(4+8*m)*lda+0+8*n]; + TempB[1] = B[(4+8*m)*lda+1+8*n]; + TempB[2] = B[(4+8*m)*lda+2+8*n]; + TempB[3] = B[(4+8*m)*lda+3+8*n]; + TempB[4] = B[(4+8*m)*lda+4+8*n]; + TempB[5] = B[(4+8*m)*lda+5+8*n]; + TempB[6] = B[(4+8*m)*lda+6+8*n]; + TempB[7] = B[(4+8*m)*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA[4] * TempB[0]; + C[1+8*n+j*lda] += TempA[4] * TempB[1]; + C[2+8*n+j*lda] += TempA[4] * TempB[2]; + C[3+8*n+j*lda] += TempA[4] * TempB[3]; + C[4+8*n+j*lda] += TempA[4] * TempB[4]; + C[5+8*n+j*lda] += TempA[4] * TempB[5]; + C[6+8*n+j*lda] += TempA[4] * TempB[6]; + C[7+8*n+j*lda] += TempA[4] * TempB[7]; + + + + TempB[0] = B[(5+8*m)*lda+0+8*n]; + TempB[1] = B[(5+8*m)*lda+1+8*n]; + TempB[2] = B[(5+8*m)*lda+2+8*n]; + TempB[3] = B[(5+8*m)*lda+3+8*n]; + TempB[4] = B[(5+8*m)*lda+4+8*n]; + TempB[5] = B[(5+8*m)*lda+5+8*n]; + TempB[6] = B[(5+8*m)*lda+6+8*n]; + TempB[7] = B[(5+8*m)*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA[5] * TempB[0]; + C[1+8*n+j*lda] += TempA[5] * TempB[1]; + C[2+8*n+j*lda] += TempA[5] * TempB[2]; + C[3+8*n+j*lda] += TempA[5] * TempB[3]; + C[4+8*n+j*lda] += TempA[5] * TempB[4]; + C[5+8*n+j*lda] += TempA[5] * TempB[5]; + C[6+8*n+j*lda] += TempA[5] * TempB[6]; + C[7+8*n+j*lda] += TempA[5] * TempB[7]; + + + + TempB[0] = B[(6+8*m)*lda+0+8*n]; + TempB[1] = B[(6+8*m)*lda+1+8*n]; + TempB[2] = B[(6+8*m)*lda+2+8*n]; + TempB[3] = B[(6+8*m)*lda+3+8*n]; + TempB[4] = B[(6+8*m)*lda+4+8*n]; + TempB[5] = B[(6+8*m)*lda+5+8*n]; + TempB[6] = B[(6+8*m)*lda+6+8*n]; + TempB[7] = B[(6+8*m)*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA[6] * TempB[0]; + C[1+8*n+j*lda] += TempA[6] * TempB[1]; + C[2+8*n+j*lda] += TempA[6] * TempB[2]; + C[3+8*n+j*lda] += TempA[6] * TempB[3]; + C[4+8*n+j*lda] += TempA[6] * TempB[4]; + C[5+8*n+j*lda] += TempA[6] * TempB[5]; + C[6+8*n+j*lda] += TempA[6] * TempB[6]; + C[7+8*n+j*lda] += TempA[6] * TempB[7]; + + + TempB[0] = B[(7+8*m)*lda+0+8*n]; + TempB[1] = B[(7+8*m)*lda+1+8*n]; + TempB[2] = B[(7+8*m)*lda+2+8*n]; + TempB[3] = B[(7+8*m)*lda+3+8*n]; + TempB[4] = B[(7+8*m)*lda+4+8*n]; + TempB[5] = B[(7+8*m)*lda+5+8*n]; + TempB[6] = B[(7+8*m)*lda+6+8*n]; + TempB[7] = B[(7+8*m)*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA[7] * TempB[0]; + C[1+8*n+j*lda] += TempA[7] * TempB[1]; + C[2+8*n+j*lda] += TempA[7] * TempB[2]; + C[3+8*n+j*lda] += TempA[7] * TempB[3]; + C[4+8*n+j*lda] += TempA[7] * TempB[4]; + C[5+8*n+j*lda] += TempA[7] * TempB[5]; + C[6+8*n+j*lda] += TempA[7] * TempB[6]; + C[7+8*n+j*lda] += TempA[7] * TempB[7]; + } + + } + } + } + if(coreid ==0) + { + for ( j = 0; j < 16; j++ ) + { + + for ( m = 0; m < 4; m++ ) + { + + TempA[0] = A[j*lda+0+8*m]; + TempA[1] = A[j*lda+1+8*m]; + TempA[2] = A[j*lda+2+8*m]; + TempA[3] = A[j*lda+3+8*m]; + TempA[4] = A[j*lda+4+8*m]; + TempA[5] = A[j*lda+5+8*m]; + TempA[6] = A[j*lda+6+8*m]; + TempA[7] = A[j*lda+7+8*m]; + + for( n = 0; n < 4; n++) + { + /* + i = j*lda; + + TempB[0] = B[(0+8*m)*lda+0+8*n]; + TempB[1] = B[(0+8*m)*lda+1+8*n]; + TempB[2] = B[(0+8*m)*lda+2+8*n]; + TempB[3] = B[(0+8*m)*lda+3+8*n]; + TempB[4] = B[(0+8*m)*lda+4+8*n]; + TempB[5] = B[(0+8*m)*lda+5+8*n]; + TempB[6] = B[(0+8*m)*lda+6+8*n]; + TempB[7] = B[(0+8*m)*lda+7+8*n]; + + C[0+8*n+i] += TempA[0] * TempB[0]; + C[1+8*n+i] += TempA[0] * TempB[1]; + C[2+8*n+i] += TempA[0] * TempB[2]; + C[3+8*n+i] += TempA[0] * TempB[3]; + C[4+8*n+i] += TempA[0] * TempB[4]; + C[5+8*n+i] += TempA[0] * TempB[5]; + C[6+8*n+i] += TempA[0] * TempB[6]; + C[7+8*n+i] += TempA[0] * TempB[7]; + + + + TempB[0] = B[(1+8*m)*lda+0+8*n]; + TempB[1] = B[(1+8*m)*lda+1+8*n]; + TempB[2] = B[(1+8*m)*lda+2+8*n]; + TempB[3] = B[(1+8*m)*lda+3+8*n]; + TempB[4] = B[(1+8*m)*lda+4+8*n]; + TempB[5] = B[(1+8*m)*lda+5+8*n]; + TempB[6] = B[(1+8*m)*lda+6+8*n]; + TempB[7] = B[(1+8*m)*lda+7+8*n]; + + C[0+8*n+i] += TempA[1] * TempB[0]; + C[1+8*n+i] += TempA[1] * TempB[1]; + C[2+8*n+i] += TempA[1] * TempB[2]; + C[3+8*n+i] += TempA[1] * TempB[3]; + C[4+8*n+i] += TempA[1] * TempB[4]; + C[5+8*n+i] += TempA[1] * TempB[5]; + C[6+8*n+i] += TempA[1] * TempB[6]; + C[7+8*n+i] += TempA[1] * TempB[7]; + + + + TempB[0] = B[(2+8*m)*lda+0+8*n]; + TempB[1] = B[(2+8*m)*lda+1+8*n]; + TempB[2] = B[(2+8*m)*lda+2+8*n]; + TempB[3] = B[(2+8*m)*lda+3+8*n]; + TempB[4] = B[(2+8*m)*lda+4+8*n]; + TempB[5] = B[(2+8*m)*lda+5+8*n]; + TempB[6] = B[(2+8*m)*lda+6+8*n]; + TempB[7] = B[(2+8*m)*lda+7+8*n]; + + C[0+8*n+i] += TempA[2] * TempB[0]; + C[1+8*n+i] += TempA[2] * TempB[1]; + C[2+8*n+i] += TempA[2] * TempB[2]; + C[3+8*n+i] += TempA[2] * TempB[3]; + C[4+8*n+i] += TempA[2] * TempB[4]; + C[5+8*n+i] += TempA[2] * TempB[5]; + C[6+8*n+i] += TempA[2] * TempB[6]; + C[7+8*n+i] += TempA[2] * TempB[7]; + + + + TempB[0] = B[(3+8*m)*lda+0+8*n]; + TempB[1] = B[(3+8*m)*lda+1+8*n]; + TempB[2] = B[(3+8*m)*lda+2+8*n]; + TempB[3] = B[(3+8*m)*lda+3+8*n]; + TempB[4] = B[(3+8*m)*lda+4+8*n]; + TempB[5] = B[(3+8*m)*lda+5+8*n]; + TempB[6] = B[(3+8*m)*lda+6+8*n]; + TempB[7] = B[(3+8*m)*lda+7+8*n]; + + C[0+8*n+i] += TempA[3] * TempB[0]; + C[1+8*n+i] += TempA[3] * TempB[1]; + C[2+8*n+i] += TempA[3] * TempB[2]; + C[3+8*n+i] += TempA[3] * TempB[3]; + C[4+8*n+i] += TempA[3] * TempB[4]; + C[5+8*n+i] += TempA[3] * TempB[5]; + C[6+8*n+i] += TempA[3] * TempB[6]; + C[7+8*n+i] += TempA[3] * TempB[7]; + + + TempB[0] = B[(4+8*m)*lda+0+8*n]; + TempB[1] = B[(4+8*m)*lda+1+8*n]; + TempB[2] = B[(4+8*m)*lda+2+8*n]; + TempB[3] = B[(4+8*m)*lda+3+8*n]; + TempB[4] = B[(4+8*m)*lda+4+8*n]; + TempB[5] = B[(4+8*m)*lda+5+8*n]; + TempB[6] = B[(4+8*m)*lda+6+8*n]; + TempB[7] = B[(4+8*m)*lda+7+8*n]; + + C[0+8*n+i] += TempA[4] * TempB[0]; + C[1+8*n+i] += TempA[4] * TempB[1]; + C[2+8*n+i] += TempA[4] * TempB[2]; + C[3+8*n+i] += TempA[4] * TempB[3]; + C[4+8*n+i] += TempA[4] * TempB[4]; + C[5+8*n+i] += TempA[4] * TempB[5]; + C[6+8*n+i] += TempA[4] * TempB[6]; + C[7+8*n+i] += TempA[4] * TempB[7]; + + + + TempB[0] = B[(5+8*m)*lda+0+8*n]; + TempB[1] = B[(5+8*m)*lda+1+8*n]; + TempB[2] = B[(5+8*m)*lda+2+8*n]; + TempB[3] = B[(5+8*m)*lda+3+8*n]; + TempB[4] = B[(5+8*m)*lda+4+8*n]; + TempB[5] = B[(5+8*m)*lda+5+8*n]; + TempB[6] = B[(5+8*m)*lda+6+8*n]; + TempB[7] = B[(5+8*m)*lda+7+8*n]; + + C[0+8*n+i] += TempA[5] * TempB[0]; + C[1+8*n+i] += TempA[5] * TempB[1]; + C[2+8*n+i] += TempA[5] * TempB[2]; + C[3+8*n+i] += TempA[5] * TempB[3]; + C[4+8*n+i] += TempA[5] * TempB[4]; + C[5+8*n+i] += TempA[5] * TempB[5]; + C[6+8*n+i] += TempA[5] * TempB[6]; + C[7+8*n+i] += TempA[5] * TempB[7]; + + + + TempB[0] = B[(6+8*m)*lda+0+8*n]; + TempB[1] = B[(6+8*m)*lda+1+8*n]; + TempB[2] = B[(6+8*m)*lda+2+8*n]; + TempB[3] = B[(6+8*m)*lda+3+8*n]; + TempB[4] = B[(6+8*m)*lda+4+8*n]; + TempB[5] = B[(6+8*m)*lda+5+8*n]; + TempB[6] = B[(6+8*m)*lda+6+8*n]; + TempB[7] = B[(6+8*m)*lda+7+8*n]; + + C[0+8*n+i] += TempA[6] * TempB[0]; + C[1+8*n+i] += TempA[6] * TempB[1]; + C[2+8*n+i] += TempA[6] * TempB[2]; + C[3+8*n+i] += TempA[6] * TempB[3]; + C[4+8*n+i] += TempA[6] * TempB[4]; + C[5+8*n+i] += TempA[6] * TempB[5]; + C[6+8*n+i] += TempA[6] * TempB[6]; + C[7+8*n+i] += TempA[6] * TempB[7]; + + + TempB[0] = B[(7+8*m)*lda+0+8*n]; + TempB[1] = B[(7+8*m)*lda+1+8*n]; + TempB[2] = B[(7+8*m)*lda+2+8*n]; + TempB[3] = B[(7+8*m)*lda+3+8*n]; + TempB[4] = B[(7+8*m)*lda+4+8*n]; + TempB[5] = B[(7+8*m)*lda+5+8*n]; + TempB[6] = B[(7+8*m)*lda+6+8*n]; + TempB[7] = B[(7+8*m)*lda+7+8*n]; + + C[0+8*n+i] += TempA[7] * TempB[0]; + C[1+8*n+i] += TempA[7] * TempB[1]; + C[2+8*n+i] += TempA[7] * TempB[2]; + C[3+8*n+i] += TempA[7] * TempB[3]; + C[4+8*n+i] += TempA[7] * TempB[4]; + C[5+8*n+i] += TempA[7] * TempB[5]; + C[6+8*n+i] += TempA[7] * TempB[6]; + C[7+8*n+i] += TempA[7] * TempB[7]; + + */ + TempB[0] = B[(0+8*m)*lda+0+8*n]; + TempB[1] = B[(0+8*m)*lda+1+8*n]; + TempB[2] = B[(0+8*m)*lda+2+8*n]; + TempB[3] = B[(0+8*m)*lda+3+8*n]; + TempB[4] = B[(0+8*m)*lda+4+8*n]; + TempB[5] = B[(0+8*m)*lda+5+8*n]; + TempB[6] = B[(0+8*m)*lda+6+8*n]; + TempB[7] = B[(0+8*m)*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA[0] * TempB[0]; + C[1+8*n+j*lda] += TempA[0] * TempB[1]; + C[2+8*n+j*lda] += TempA[0] * TempB[2]; + C[3+8*n+j*lda] += TempA[0] * TempB[3]; + C[4+8*n+j*lda] += TempA[0] * TempB[4]; + C[5+8*n+j*lda] += TempA[0] * TempB[5]; + C[6+8*n+j*lda] += TempA[0] * TempB[6]; + C[7+8*n+j*lda] += TempA[0] * TempB[7]; + + + + TempB[0] = B[(1+8*m)*lda+0+8*n]; + TempB[1] = B[(1+8*m)*lda+1+8*n]; + TempB[2] = B[(1+8*m)*lda+2+8*n]; + TempB[3] = B[(1+8*m)*lda+3+8*n]; + TempB[4] = B[(1+8*m)*lda+4+8*n]; + TempB[5] = B[(1+8*m)*lda+5+8*n]; + TempB[6] = B[(1+8*m)*lda+6+8*n]; + TempB[7] = B[(1+8*m)*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA[1] * TempB[0]; + C[1+8*n+j*lda] += TempA[1] * TempB[1]; + C[2+8*n+j*lda] += TempA[1] * TempB[2]; + C[3+8*n+j*lda] += TempA[1] * TempB[3]; + C[4+8*n+j*lda] += TempA[1] * TempB[4]; + C[5+8*n+j*lda] += TempA[1] * TempB[5]; + C[6+8*n+j*lda] += TempA[1] * TempB[6]; + C[7+8*n+j*lda] += TempA[1] * TempB[7]; + + + + TempB[0] = B[(2+8*m)*lda+0+8*n]; + TempB[1] = B[(2+8*m)*lda+1+8*n]; + TempB[2] = B[(2+8*m)*lda+2+8*n]; + TempB[3] = B[(2+8*m)*lda+3+8*n]; + TempB[4] = B[(2+8*m)*lda+4+8*n]; + TempB[5] = B[(2+8*m)*lda+5+8*n]; + TempB[6] = B[(2+8*m)*lda+6+8*n]; + TempB[7] = B[(2+8*m)*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA[2] * TempB[0]; + C[1+8*n+j*lda] += TempA[2] * TempB[1]; + C[2+8*n+j*lda] += TempA[2] * TempB[2]; + C[3+8*n+j*lda] += TempA[2] * TempB[3]; + C[4+8*n+j*lda] += TempA[2] * TempB[4]; + C[5+8*n+j*lda] += TempA[2] * TempB[5]; + C[6+8*n+j*lda] += TempA[2] * TempB[6]; + C[7+8*n+j*lda] += TempA[2] * TempB[7]; + + + + TempB[0] = B[(3+8*m)*lda+0+8*n]; + TempB[1] = B[(3+8*m)*lda+1+8*n]; + TempB[2] = B[(3+8*m)*lda+2+8*n]; + TempB[3] = B[(3+8*m)*lda+3+8*n]; + TempB[4] = B[(3+8*m)*lda+4+8*n]; + TempB[5] = B[(3+8*m)*lda+5+8*n]; + TempB[6] = B[(3+8*m)*lda+6+8*n]; + TempB[7] = B[(3+8*m)*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA[3] * TempB[0]; + C[1+8*n+j*lda] += TempA[3] * TempB[1]; + C[2+8*n+j*lda] += TempA[3] * TempB[2]; + C[3+8*n+j*lda] += TempA[3] * TempB[3]; + C[4+8*n+j*lda] += TempA[3] * TempB[4]; + C[5+8*n+j*lda] += TempA[3] * TempB[5]; + C[6+8*n+j*lda] += TempA[3] * TempB[6]; + C[7+8*n+j*lda] += TempA[3] * TempB[7]; + + + TempB[0] = B[(4+8*m)*lda+0+8*n]; + TempB[1] = B[(4+8*m)*lda+1+8*n]; + TempB[2] = B[(4+8*m)*lda+2+8*n]; + TempB[3] = B[(4+8*m)*lda+3+8*n]; + TempB[4] = B[(4+8*m)*lda+4+8*n]; + TempB[5] = B[(4+8*m)*lda+5+8*n]; + TempB[6] = B[(4+8*m)*lda+6+8*n]; + TempB[7] = B[(4+8*m)*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA[4] * TempB[0]; + C[1+8*n+j*lda] += TempA[4] * TempB[1]; + C[2+8*n+j*lda] += TempA[4] * TempB[2]; + C[3+8*n+j*lda] += TempA[4] * TempB[3]; + C[4+8*n+j*lda] += TempA[4] * TempB[4]; + C[5+8*n+j*lda] += TempA[4] * TempB[5]; + C[6+8*n+j*lda] += TempA[4] * TempB[6]; + C[7+8*n+j*lda] += TempA[4] * TempB[7]; + + + + TempB[0] = B[(5+8*m)*lda+0+8*n]; + TempB[1] = B[(5+8*m)*lda+1+8*n]; + TempB[2] = B[(5+8*m)*lda+2+8*n]; + TempB[3] = B[(5+8*m)*lda+3+8*n]; + TempB[4] = B[(5+8*m)*lda+4+8*n]; + TempB[5] = B[(5+8*m)*lda+5+8*n]; + TempB[6] = B[(5+8*m)*lda+6+8*n]; + TempB[7] = B[(5+8*m)*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA[5] * TempB[0]; + C[1+8*n+j*lda] += TempA[5] * TempB[1]; + C[2+8*n+j*lda] += TempA[5] * TempB[2]; + C[3+8*n+j*lda] += TempA[5] * TempB[3]; + C[4+8*n+j*lda] += TempA[5] * TempB[4]; + C[5+8*n+j*lda] += TempA[5] * TempB[5]; + C[6+8*n+j*lda] += TempA[5] * TempB[6]; + C[7+8*n+j*lda] += TempA[5] * TempB[7]; + + + + TempB[0] = B[(6+8*m)*lda+0+8*n]; + TempB[1] = B[(6+8*m)*lda+1+8*n]; + TempB[2] = B[(6+8*m)*lda+2+8*n]; + TempB[3] = B[(6+8*m)*lda+3+8*n]; + TempB[4] = B[(6+8*m)*lda+4+8*n]; + TempB[5] = B[(6+8*m)*lda+5+8*n]; + TempB[6] = B[(6+8*m)*lda+6+8*n]; + TempB[7] = B[(6+8*m)*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA[6] * TempB[0]; + C[1+8*n+j*lda] += TempA[6] * TempB[1]; + C[2+8*n+j*lda] += TempA[6] * TempB[2]; + C[3+8*n+j*lda] += TempA[6] * TempB[3]; + C[4+8*n+j*lda] += TempA[6] * TempB[4]; + C[5+8*n+j*lda] += TempA[6] * TempB[5]; + C[6+8*n+j*lda] += TempA[6] * TempB[6]; + C[7+8*n+j*lda] += TempA[6] * TempB[7]; + + + TempB[0] = B[(7+8*m)*lda+0+8*n]; + TempB[1] = B[(7+8*m)*lda+1+8*n]; + TempB[2] = B[(7+8*m)*lda+2+8*n]; + TempB[3] = B[(7+8*m)*lda+3+8*n]; + TempB[4] = B[(7+8*m)*lda+4+8*n]; + TempB[5] = B[(7+8*m)*lda+5+8*n]; + TempB[6] = B[(7+8*m)*lda+6+8*n]; + TempB[7] = B[(7+8*m)*lda+7+8*n]; + + C[0+8*n+j*lda] += TempA[7] * TempB[0]; + C[1+8*n+j*lda] += TempA[7] * TempB[1]; + C[2+8*n+j*lda] += TempA[7] * TempB[2]; + C[3+8*n+j*lda] += TempA[7] * TempB[3]; + C[4+8*n+j*lda] += TempA[7] * TempB[4]; + C[5+8*n+j*lda] += TempA[7] * TempB[5]; + C[6+8*n+j*lda] += TempA[7] * TempB[6]; + C[7+8*n+j*lda] += TempA[7] * TempB[7]; + } + + } + } + } + + +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + /* + + // Execute the provided, naive matmul + barrier(); + stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + + // clear results from the first trial + size_t i; + if (coreid == 0) + for (i=0; i < ARRAY_SIZE; i++) + results_data[i] = 0; + barrier(); + + */ + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/av_vvadd/av_vvadd.c b/mt/av_vvadd/av_vvadd.c new file mode 100644 index 0000000..2f213d8 --- /dev/null +++ b/mt/av_vvadd/av_vvadd.c @@ -0,0 +1,196 @@ +//************************************************************************** +// Vector-vector add benchmark +//-------------------------------------------------------------------------- +// Author : Andrew Waterman +// TA : Christopher Celio +// Student : +// +// This benchmark adds two vectors and writes the results to a +// third vector. The input data (and reference data) should be +// generated using the vvadd_gendata.pl perl script and dumped +// to a file named dataset.h + +// to print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DATA_SIZE, 10*_c/DATA_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %4ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %4ld, correct[%d]= %4ld\n", + i, (long) test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// vvadd function + +//perform in-place vvadd +void __attribute__((noinline)) vvadd(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + size_t i; + + // interleave accesses + for (i = coreid; i < n; i+=ncores) + { + x[i] = x[i] + y[i]; + } +} + +void __attribute__((noinline)) vvadd_opt(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + + size_t i; + if(coreid ==0) + { + for (i = coreid; i < n-3; i+=4) + { + x[i] = x[i] + y[i]; + x[i+1] = x[i+1] + y[i+1]; + } + i = i + 4; + + + for (i; i < (n+1); i+=1) + { + x[i] = x[i] + y[i]; + } + + + } + if(coreid ==1) + { + for (i = 2; i < n; i+=4) + { + x[i] = x[i] + y[i]; + x[i+1] = x[i+1] + y[i+1]; + + } + + + } + +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[DATA_SIZE]; + + // because we're going to perform an in-place vvadd (and we're going to run + // it a couple of times) let's copy the input data to a temporary results + // array + + size_t i; + if (coreid == 0) + { + for (i = 0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + + + // Execute the provided, terrible vvadd + barrier(); + stats(vvadd(DATA_SIZE, results_data, input2_data); barrier()); + + + // verify + verify(DATA_SIZE, results_data, verify_data); + + // reset results from the first trial + if (coreid == 0) + { + for (i=0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + barrier(); + + + // Execute your faster vvadd + barrier(); + stats(vvadd_opt(DATA_SIZE, results_data, input2_data); barrier()); + +#ifdef DEBUG + printArray("results: ", DATA_SIZE, results_data); + printArray("verify : ", DATA_SIZE, verify_data); +#endif + + // verify + verify(DATA_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/av_vvadd/dataset.h b/mt/av_vvadd/dataset.h new file mode 100755 index 0000000..ce9f936 --- /dev/null +++ b/mt/av_vvadd/dataset.h @@ -0,0 +1,165 @@ + +#define DATA_SIZE 1000 + +static data_t input1_data[DATA_SIZE] = +{ + 0.00, 15.00, 10.00, 3.00, 14.00, 6.00, 2.00, 18.00, 11.00, 15.00, 11.00, 0.00, 17.00, 16.00, 7.00, 13.00, 18.00, 2.00, 2.00, 5.00, + 8.00, 5.00, 12.00, 14.00, 6.00, 12.00, 16.00, 7.00, 9.00, 17.00, 10.00, 10.00, 3.00, 5.00, 14.00, 11.00, 9.00, 12.00, 3.00, 1.00, + 5.00, 4.00, 6.00, 17.00, 17.00, 4.00, 17.00, 15.00, 17.00, 18.00, 3.00, 18.00, 10.00, 6.00, 12.00, 12.00, 3.00, 2.00, 16.00, 1.00, + 5.00, 6.00, 2.00, 17.00, 16.00, 5.00, 10.00, 18.00, 14.00, 4.00, 9.00, 9.00, 7.00, 4.00, 8.00, 13.00, 12.00, 6.00, 4.00, 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15.00, 9.00, 19.00, 26.00, 24.00, 19.00, 13.00, 16.00, 12.00, + 25.00, 12.00, 12.00, 24.00, 20.00, 9.00, 22.00, 6.00, 13.00, 11.00, 11.00, 20.00, 11.00, 22.00, 3.00, 17.00, 25.00, 14.00, 25.00, 16.00, + 3.00, 16.00, 23.00, 24.00, 24.00, 29.00, 24.00, 6.00, 12.00, 14.00, 23.00, 29.00, 23.00, 26.00, 14.00, 35.00, 17.00, 20.00, 12.00, 25.00, + 2.00, 29.00, 16.00, 3.00, 17.00, 32.00, 30.00, 5.00, 31.00, 25.00, 24.00, 29.00, 22.00, 26.00, 7.00, 14.00, 6.00, 11.00, 32.00, 1.00, + 18.00, 12.00, 20.00, 16.00, 15.00, 20.00, 19.00, 30.00, 23.00, 11.00, 12.00, 24.00, 13.00, 27.00, 2.00, 3.00, 36.00, 9.00, 13.00, 14.00, + 16.00, 23.00, 23.00, 24.00, 13.00, 22.00, 18.00, 26.00, 24.00, 22.00, 28.00, 23.00, 25.00, 28.00, 7.00, 14.00, 31.00, 15.00, 23.00, 25.00, + 15.00, 20.00, 15.00, 19.00, 8.00, 27.00, 25.00, 19.00, 21.00, 28.00, 11.00, 14.00, 25.00, 24.00, 11.00, 29.00, 19.00, 25.00, 16.00, 33.00, + 18.00, 9.00, 3.00, 13.00, 13.00, 13.00, 21.00, 20.00, 23.00, 7.00, 11.00, 18.00, 25.00, 26.00, 30.00, 12.00, 21.00, 21.00, 27.00, 14.00, + 21.00, 31.00, 3.00, 21.00, 14.00, 20.00, 30.00, 20.00, 21.00, 32.00, 27.00, 24.00, 16.00, 31.00, 5.00, 20.00, 14.00, 17.00, 15.00, 16.00, + 19.00, 13.00, 4.00, 21.00, 20.00, 29.00, 10.00, 22.00, 19.00, 24.00, 29.00, 14.00, 10.00, 15.00, 18.00, 7.00, 28.00, 17.00, 7.00, 2.00, + 1.00, 19.00, 17.00, 23.00, 31.00, 13.00, 20.00, 36.00, 17.00, 27.00, 28.00, 18.00, 20.00, 29.00, 17.00, 23.00, 24.00, 23.00, 26.00, 17.00, + 9.00, 26.00, 16.00, 18.00, 10.00, 28.00, 32.00, 20.00, 19.00, 14.00, 22.00, 23.00, 13.00, 22.00, 14.00, 7.00, 20.00, 10.00, 25.00, 9.00, + 7.00, 2.00, 31.00, 16.00, 16.00, 22.00, 5.00, 15.00, 26.00, 23.00, 10.00, 18.00, 32.00, 24.00, 15.00, 30.00, 16.00, 13.00, 15.00, 7.00, + 11.00, 6.00, 21.00, 14.00, 25.00, 21.00, 11.00, 16.00, 14.00, 26.00, 25.00, 15.00, 22.00, 24.00, 4.00, 19.00, 14.00, 26.00, 22.00, 17.00, + 13.00, 14.00, 7.00, 32.00, 20.00, 33.00, 13.00, 7.00, 29.00, 8.00, 26.00, 6.00, 9.00, 13.00, 22.00, 23.00, 8.00, 22.00, 22.00, 10.00, + 24.00, 2.00, 17.00, 9.00, 22.00, 30.00, 24.00, 33.00, 25.00, 17.00, 23.00, 9.00, 13.00, 15.00, 23.00, 10.00, 1.00, 22.00, 17.00, 10.00, + 32.00, 24.00, 26.00, 4.00, 15.00, 0.00, 27.00, 23.00, 28.00, 23.00, 30.00, 7.00, 16.00, 33.00, 20.00, 14.00, 23.00, 14.00, 20.00, 14.00, + 7.00, 25.00, 24.00, 12.00, 29.00, 16.00, 17.00, 20.00, 29.00, 16.00, 13.00, 18.00, 26.00, 18.00, 18.00, 17.00, 13.00, 29.00, 14.00, 17.00, + 24.00, 16.00, 21.00, 14.00, 26.00, 9.00, 11.00, 28.00, 25.00, 15.00, 15.00, 12.00, 6.00, 14.00, 27.00, 14.00, 24.00, 18.00, 18.00, 14.00, + 32.00, 21.00, 26.00, 13.00, 6.00, 24.00, 22.00, 27.00, 17.00, 26.00, 19.00, 21.00, 19.00, 9.00, 21.00, 25.00, 17.00, 27.00, 15.00, 18.00 +}; + diff --git a/mt/av_vvadd/vvadd_gendata.pl b/mt/av_vvadd/vvadd_gendata.pl new file mode 100755 index 0000000..a9fceac --- /dev/null +++ b/mt/av_vvadd/vvadd_gendata.pl @@ -0,0 +1,139 @@ +#!/usr/bin/perl -w +#========================================================================== +# vvadd_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the vvadd benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: vvadd_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[DATA_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3.2f",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + my @values1; + my @values2; + my @sum; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + my $value1 = int(rand(19)); + my $value2 = int(rand(19)); + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @sum, $value1 + $value2 ); + } + + + print "\n\#define DATA_SIZE ".$opts{"size"}." \n\n"; + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@sum ); + +} + +main(); + diff --git a/mt/ay_matmul/.matmul.c.swp b/mt/ay_matmul/.matmul.c.swp Binary files differnew file mode 100644 index 0000000..9ebeb79 --- /dev/null +++ b/mt/ay_matmul/.matmul.c.swp diff --git a/mt/ay_matmul/ay_matmul.c b/mt/ay_matmul/ay_matmul.c new file mode 100644 index 0000000..2a1e04c --- /dev/null +++ b/mt/ay_matmul/ay_matmul.c @@ -0,0 +1,210 @@ +//**************************************************************************
+// Multi-threaded Matrix Multiply benchmark
+//--------------------------------------------------------------------------
+// TA : Christopher Celio
+// Student:
+//
+//
+// This benchmark multiplies two 2-D arrays together and writes the results to
+// a third vector. The input data (and reference data) should be generated
+// using the matmul_gendata.pl perl script and dumped to a file named
+// dataset.h.
+
+
+// print out arrays, etc.
+//#define DEBUG
+
+//--------------------------------------------------------------------------
+// Includes
+
+#include <string.h>
+#include <stdlib.h>
+#include <stdio.h>
+
+
+//--------------------------------------------------------------------------
+// Input/Reference Data
+
+typedef float data_t;
+#include "dataset.h"
+
+
+//--------------------------------------------------------------------------
+// Basic Utilities and Multi-thread Support
+
+__thread unsigned long coreid;
+unsigned long ncores;
+
+#include "util.h"
+
+#define stringify_1(s) #s
+#define stringify(s) stringify_1(s)
+#define stats(code) do { \
+ unsigned long _c = -rdcycle(), _i = -rdinstret(); \
+ code; \
+ _c += rdcycle(), _i += rdinstret(); \
+ if (coreid == 0) \
+ printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \
+ stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \
+ } while(0)
+
+
+//--------------------------------------------------------------------------
+// Helper functions
+
+void printArray( char name[], int n, data_t arr[] )
+{
+ int i;
+ if (coreid != 0)
+ return;
+
+ printf( " %10s :", name );
+ for ( i = 0; i < n; i++ )
+ printf( " %3ld ", (long) arr[i] );
+ printf( "\n" );
+}
+
+void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct)
+{
+ if (coreid != 0)
+ return;
+
+ size_t i;
+ for (i = 0; i < n; i++)
+ {
+ if (test[i] != correct[i])
+ {
+ printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n",
+ i, (long)test[i], i, (long)correct[i]);
+ exit(-1);
+ }
+ }
+
+ return;
+}
+
+//--------------------------------------------------------------------------
+// matmul function
+
+// single-thread, naive version
+void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] )
+{
+ int i, j, k;
+
+ if (coreid > 0)
+ return;
+
+ for ( i = 0; i < lda; i++ )
+ for ( j = 0; j < lda; j++ )
+ {
+ for ( k = 0; k < lda; k++ )
+ {
+ C[i + j*lda] += A[j*lda + k] * B[k*lda + i];
+ }
+ }
+
+}
+
+void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] )
+{
+ static __thread int i, j, k;
+ static __thread data_t tempA0, tempA1, tempA2, tempA3, tempA4, tempA5, tempA6, tempA7;
+ static __thread data_t tempC0, tempC1, tempC2, tempC3, tempC4, tempC5, tempC6, tempC7, tempC8, tempC9, tempC10, tempC11, tempC12, tempC13, tempC14, tempC15;
+
+ static __thread int start, end, jStride, jToRow, jToCol;
+
+ start = coreid << 9;
+ end = (coreid+1) << 9;
+ jStride = 8;
+
+ for (j=start; j < end; j+=jStride) {
+ jToRow = (j>>5)<<5;
+ jToCol = j%32;
+ tempC0 = 0;
+ tempC1 = 0;
+ tempC2 = 0;
+ tempC3 = 0;
+ tempC4 = 0;
+ tempC5 = 0;
+ tempC6 = 0;
+ tempC7 = 0;
+ for ( i=0; i < lda; i+=2 ) {
+ tempA0 = A[i + jToRow];
+ tempA1 = A[i+1 + jToRow];
+ tempC0 += tempA0 * B[(jToCol ) + (i<<5)];
+ tempC1 += tempA0 * B[(jToCol+1 ) + (i<<5)];
+ tempC2 += tempA0 * B[(jToCol+2 ) + (i<<5)];
+ tempC3 += tempA0 * B[(jToCol+3 ) + (i<<5)];
+ tempC4 += tempA0 * B[(jToCol+4 ) + (i<<5)];
+ tempC5 += tempA0 * B[(jToCol+5 ) + (i<<5)];
+ tempC6 += tempA0 * B[(jToCol+6 ) + (i<<5)];
+ tempC7 += tempA0 * B[(jToCol+7 ) + (i<<5)];
+ tempC0 += tempA1 * B[(jToCol ) + ((i+1)<<5)];
+ tempC1 += tempA1 * B[(jToCol+1 ) + ((i+1)<<5)];
+ tempC2 += tempA1 * B[(jToCol+2 ) + ((i+1)<<5)];
+ tempC3 += tempA1 * B[(jToCol+3 ) + ((i+1)<<5)];
+ tempC4 += tempA1 * B[(jToCol+4 ) + ((i+1)<<5)];
+ tempC5 += tempA1 * B[(jToCol+5 ) + ((i+1)<<5)];
+ tempC6 += tempA1 * B[(jToCol+6 ) + ((i+1)<<5)];
+ tempC7 += tempA1 * B[(jToCol+7 ) + ((i+1)<<5)];
+ }
+ C[j] =tempC0;
+ C[j + 1 ]=tempC1;
+ C[j + 2 ]=tempC2;
+ C[j + 3 ]=tempC3;
+ C[j + 4 ]=tempC4;
+ C[j + 5 ]=tempC5;
+ C[j + 6 ]=tempC6;
+ C[j + 7 ]=tempC7;
+ }
+
+}
+
+//--------------------------------------------------------------------------
+// Main
+//
+// all threads start executing thread_entry(). Use their "coreid" to
+// differentiate between threads (each thread is running on a separate core).
+
+void thread_entry(int cid, int nc)
+{
+ coreid = cid;
+ ncores = nc;
+
+ // static allocates data in the binary, which is visible to both threads
+ static data_t results_data[ARRAY_SIZE];
+
+
+ //// Execute the provided, naive matmul
+ //barrier();
+ //stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier());
+
+ //
+ //// verify
+ //verify(ARRAY_SIZE, results_data, verify_data);
+ //
+ //// clear results from the first trial
+ //size_t i;
+ //if (coreid == 0)
+ // for (i=0; i < ARRAY_SIZE; i++)
+ // results_data[i] = 0;
+ //barrier();
+
+
+ // Execute your faster matmul
+ barrier();
+ stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier());
+
+#ifdef DEBUG
+ printArray("results:", ARRAY_SIZE, results_data);
+ printArray("verify :", ARRAY_SIZE, verify_data);
+#endif
+
+ // verify
+ verify(ARRAY_SIZE, results_data, verify_data);
+ barrier();
+
+ exit(0);
+}
+
+
diff --git a/mt/ay_matmul/dataset.h b/mt/ay_matmul/dataset.h new file mode 100755 index 0000000..dde3ee4 --- /dev/null +++ b/mt/ay_matmul/dataset.h @@ -0,0 +1,174 @@ + +#define ARRAY_SIZE 1024 + + +#define DIM_SIZE 32 + +static data_t input1_data[ARRAY_SIZE] = +{ + 0, 3, 2, 0, 3, 1, 0, 3, 2, 3, 2, 0, 3, 3, 1, 2, 3, 0, 0, 1, + 1, 1, 2, 3, 1, 2, 3, 1, 1, 3, 2, 2, 0, 1, 3, 2, 2, 2, 0, 0, + 1, 0, 1, 3, 3, 0, 3, 3, 3, 3, 0, 3, 2, 1, 2, 2, 0, 0, 3, 0, + 1, 1, 0, 3, 3, 1, 2, 3, 3, 0, 1, 2, 1, 0, 1, 2, 2, 1, 0, 3, + 1, 0, 2, 2, 1, 1, 1, 1, 1, 1, 2, 0, 3, 1, 1, 2, 2, 3, 3, 1, + 3, 2, 0, 0, 0, 3, 3, 3, 2, 1, 2, 3, 1, 0, 0, 0, 0, 1, 2, 2, + 1, 1, 3, 3, 3, 1, 1, 2, 3, 1, 3, 3, 2, 3, 2, 1, 2, 3, 0, 2, + 2, 1, 1, 0, 0, 0, 0, 0, 1, 3, 3, 1, 1, 1, 2, 2, 3, 2, 1, 1, + 1, 1, 3, 0, 2, 2, 1, 3, 2, 1, 2, 2, 1, 3, 1, 3, 1, 3, 2, 3, + 1, 2, 1, 3, 2, 2, 0, 1, 0, 0, 1, 2, 3, 3, 1, 0, 0, 0, 3, 1, + 2, 3, 2, 3, 2, 0, 0, 0, 0, 0, 3, 1, 3, 0, 0, 0, 3, 1, 1, 1, + 1, 2, 1, 2, 3, 2, 0, 0, 2, 2, 3, 0, 3, 0, 0, 3, 0, 3, 1, 3, + 3, 1, 1, 1, 2, 2, 1, 3, 0, 3, 3, 1, 0, 0, 3, 2, 1, 3, 3, 3, + 1, 0, 1, 1, 2, 1, 0, 1, 1, 2, 2, 3, 1, 2, 2, 2, 0, 1, 3, 3, + 3, 2, 2, 1, 0, 1, 2, 0, 1, 1, 1, 1, 2, 3, 2, 2, 3, 3, 0, 0, + 2, 0, 0, 0, 3, 0, 1, 0, 3, 0, 0, 0, 3, 0, 0, 2, 0, 2, 0, 0, + 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 0, 2, 0, 0, 3, 3, 2, 3, 3, 0, + 1, 0, 2, 2, 0, 3, 3, 1, 1, 0, 2, 3, 2, 1, 1, 0, 1, 2, 1, 2, + 2, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 3, 3, 2, 0, 0, 1, 3, 0, 3, + 3, 0, 0, 0, 0, 3, 3, 1, 0, 0, 3, 3, 2, 1, 2, 1, 3, 3, 0, 1, + 3, 0, 2, 3, 1, 3, 3, 3, 3, 3, 0, 1, 1, 3, 0, 2, 2, 3, 1, 2, + 2, 2, 1, 3, 3, 0, 3, 0, 0, 2, 0, 2, 3, 0, 1, 3, 2, 2, 0, 0, + 2, 3, 0, 2, 2, 2, 3, 1, 0, 3, 3, 3, 3, 1, 0, 3, 3, 2, 0, 3, + 2, 0, 3, 0, 2, 0, 0, 2, 2, 1, 0, 2, 3, 1, 1, 1, 1, 2, 3, 3, + 3, 0, 0, 3, 3, 3, 2, 3, 3, 1, 2, 2, 3, 1, 2, 1, 1, 3, 0, 1, + 2, 0, 2, 0, 0, 1, 3, 2, 0, 1, 3, 2, 3, 3, 0, 0, 0, 1, 0, 3, + 3, 2, 2, 2, 1, 1, 2, 2, 1, 3, 2, 0, 1, 3, 2, 0, 2, 1, 3, 0, + 0, 0, 1, 3, 3, 2, 2, 2, 3, 1, 0, 0, 1, 1, 2, 1, 3, 1, 1, 2, + 2, 3, 2, 3, 0, 2, 3, 3, 0, 3, 0, 0, 1, 0, 0, 0, 1, 3, 1, 1, + 2, 3, 2, 1, 1, 2, 2, 2, 3, 0, 1, 1, 2, 1, 2, 0, 2, 3, 1, 3, + 0, 1, 1, 3, 0, 2, 3, 0, 1, 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 2, + 3, 0, 1, 1, 1, 1, 2, 0, 1, 2, 0, 1, 1, 1, 0, 1, 3, 2, 3, 1, + 0, 2, 1, 2, 1, 3, 3, 1, 0, 2, 2, 3, 1, 3, 1, 3, 0, 1, 0, 3, + 0, 3, 2, 0, 3, 3, 3, 0, 3, 2, 2, 2, 1, 3, 0, 0, 1, 1, 3, 0, + 1, 2, 1, 0, 0, 0, 3, 2, 2, 0, 0, 2, 1, 3, 0, 0, 3, 0, 0, 2, + 1, 1, 2, 2, 1, 3, 2, 2, 1, 1, 2, 1, 3, 2, 1, 1, 3, 0, 1, 3, + 3, 2, 2, 1, 0, 3, 2, 2, 2, 3, 0, 1, 3, 3, 2, 3, 0, 3, 2, 3, + 1, 1, 0, 0, 0, 2, 3, 0, 3, 0, 1, 1, 3, 1, 3, 2, 1, 1, 2, 1, + 3, 2, 0, 2, 1, 0, 2, 3, 2, 3, 2, 1, 2, 3, 0, 0, 1, 1, 0, 0, + 2, 1, 0, 1, 2, 2, 2, 2, 0, 3, 3, 1, 0, 0, 0, 0, 3, 1, 1, 0, + 0, 0, 0, 1, 2, 2, 1, 3, 0, 2, 3, 2, 3, 2, 2, 1, 2, 2, 3, 3, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 2, 2, 3, 1, 1, 1, 0, 0, 0, 3, 0, + 1, 0, 3, 1, 1, 3, 0, 1, 2, 2, 0, 0, 3, 3, 3, 3, 2, 1, 0, 0, + 1, 0, 2, 0, 1, 1, 0, 0, 3, 3, 2, 1, 1, 1, 0, 1, 1, 2, 2, 1, + 1, 2, 0, 3, 1, 3, 1, 0, 3, 0, 3, 1, 1, 1, 0, 2, 0, 3, 1, 0, + 1, 0, 2, 0, 2, 3, 3, 3, 1, 2, 3, 2, 2, 0, 1, 1, 0, 3, 3, 1, + 3, 3, 2, 0, 2, 0, 2, 2, 3, 3, 3, 0, 2, 3, 3, 1, 3, 2, 2, 2, + 0, 2, 3, 0, 2, 0, 3, 2, 2, 1, 1, 0, 2, 2, 2, 0, 2, 2, 0, 1, + 3, 2, 1, 3, 2, 2, 0, 3, 3, 1, 2, 2, 0, 0, 3, 2, 1, 2, 2, 1, + 3, 1, 2, 0, 0, 1, 1, 2, 1, 3, 2, 2, 3, 0, 2, 1, 3, 2, 1, 3, + 2, 3, 3, 1, 2, 1, 2, 2, 0, 0, 0, 3, 0, 2, 3, 1, 0, 0, 2, 3, + 3, 2, 2, 1 +}; + +static data_t input2_data[ARRAY_SIZE] = +{ + 1, 1, 0, 3, 1, 2, 0, 0, 0, 0, 0, 2, 1, 2, 3, 0, 0, 3, 3, 2, + 2, 1, 2, 3, 3, 0, 2, 2, 1, 1, 2, 2, 0, 2, 2, 1, 2, 3, 2, 2, + 3, 3, 2, 2, 1, 1, 1, 1, 2, 1, 2, 2, 3, 3, 3, 0, 0, 3, 2, 3, + 2, 3, 1, 2, 1, 1, 2, 2, 0, 1, 0, 3, 2, 1, 1, 1, 2, 0, 1, 2, + 2, 0, 2, 1, 3, 3, 2, 3, 2, 0, 3, 1, 3, 3, 2, 0, 1, 0, 1, 1, + 2, 2, 1, 1, 2, 2, 1, 2, 3, 3, 1, 3, 2, 2, 2, 3, 3, 1, 0, 2, + 1, 0, 0, 0, 1, 1, 2, 0, 3, 2, 3, 3, 0, 2, 3, 1, 0, 0, 2, 1, + 2, 0, 2, 1, 1, 2, 3, 1, 3, 2, 1, 0, 0, 0, 0, 0, 2, 2, 0, 2, + 1, 2, 0, 3, 2, 2, 0, 0, 3, 2, 1, 1, 3, 0, 2, 0, 0, 1, 0, 2, + 3, 3, 1, 3, 3, 0, 0, 2, 2, 0, 0, 0, 1, 0, 0, 1, 3, 0, 2, 1, + 3, 2, 2, 1, 3, 2, 0, 1, 2, 2, 3, 2, 1, 1, 1, 1, 3, 0, 1, 3, + 2, 2, 3, 1, 1, 2, 0, 2, 1, 1, 2, 3, 1, 0, 1, 0, 1, 1, 0, 0, + 2, 0, 3, 0, 3, 0, 3, 2, 2, 3, 3, 2, 1, 0, 2, 2, 1, 1, 0, 3, + 3, 2, 2, 0, 0, 3, 0, 1, 0, 0, 1, 2, 0, 1, 3, 0, 1, 2, 2, 0, + 0, 3, 0, 3, 0, 1, 1, 2, 0, 0, 0, 3, 0, 0, 2, 1, 1, 1, 0, 2, + 1, 3, 1, 2, 0, 3, 0, 3, 1, 3, 0, 0, 2, 2, 2, 2, 3, 3, 2, 1, + 2, 2, 1, 1, 2, 2, 2, 2, 0, 3, 0, 0, 2, 0, 1, 2, 0, 3, 2, 3, + 2, 0, 2, 1, 2, 1, 0, 2, 1, 1, 3, 2, 2, 3, 1, 0, 3, 3, 1, 0, + 3, 2, 2, 0, 0, 3, 0, 0, 2, 0, 3, 2, 3, 1, 1, 0, 0, 2, 3, 0, + 0, 1, 1, 1, 2, 1, 3, 2, 1, 3, 0, 1, 3, 3, 1, 1, 1, 1, 1, 1, + 0, 0, 2, 3, 2, 2, 2, 3, 2, 3, 1, 2, 3, 2, 2, 2, 0, 1, 3, 0, + 1, 1, 0, 1, 0, 1, 1, 3, 3, 1, 2, 2, 3, 2, 0, 2, 2, 0, 1, 3, + 0, 1, 3, 2, 1, 3, 3, 2, 0, 1, 3, 2, 0, 2, 1, 1, 0, 3, 0, 1, + 1, 1, 1, 1, 3, 0, 0, 1, 0, 2, 3, 1, 3, 0, 2, 1, 3, 0, 3, 0, + 3, 2, 2, 0, 0, 2, 1, 3, 3, 2, 3, 2, 2, 1, 2, 2, 3, 0, 3, 2, + 2, 0, 3, 2, 3, 2, 0, 0, 1, 2, 0, 0, 2, 0, 0, 3, 3, 2, 0, 0, + 3, 3, 0, 2, 3, 1, 0, 1, 0, 2, 1, 0, 2, 1, 0, 1, 0, 3, 0, 2, + 2, 3, 0, 0, 2, 1, 0, 1, 0, 0, 0, 2, 2, 3, 2, 0, 3, 3, 2, 1, + 0, 0, 3, 1, 2, 3, 3, 1, 0, 3, 1, 1, 0, 3, 3, 3, 2, 2, 2, 0, + 1, 2, 0, 3, 0, 1, 0, 1, 1, 0, 1, 2, 0, 3, 2, 0, 1, 2, 2, 0, + 2, 0, 0, 1, 0, 3, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 1, 1, 1, 0, + 2, 1, 1, 3, 2, 0, 2, 1, 1, 0, 2, 2, 1, 3, 0, 2, 1, 0, 1, 2, + 0, 1, 3, 2, 3, 2, 1, 0, 2, 0, 2, 2, 3, 1, 1, 3, 2, 3, 2, 2, + 0, 2, 0, 0, 0, 3, 2, 0, 2, 2, 3, 3, 3, 2, 1, 2, 0, 0, 3, 0, + 2, 0, 3, 2, 2, 3, 0, 3, 2, 1, 2, 2, 1, 2, 0, 0, 3, 1, 2, 0, + 2, 3, 2, 2, 1, 1, 1, 3, 3, 3, 3, 3, 1, 3, 0, 1, 3, 2, 2, 1, + 0, 1, 1, 2, 1, 2, 3, 1, 2, 2, 1, 2, 1, 1, 0, 3, 3, 1, 1, 3, + 2, 0, 0, 1, 2, 0, 1, 3, 1, 0, 0, 2, 2, 3, 3, 0, 2, 3, 2, 1, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 3, 3, 3, 1, 3, 0, 3, 1, 1, 2, 2, + 2, 1, 0, 3, 2, 3, 0, 2, 3, 2, 3, 1, 2, 3, 3, 1, 2, 1, 0, 0, + 0, 3, 3, 3, 3, 0, 3, 3, 3, 3, 2, 1, 0, 3, 0, 3, 2, 3, 1, 0, + 0, 1, 3, 1, 0, 2, 2, 3, 1, 0, 2, 1, 1, 3, 1, 1, 3, 1, 2, 1, + 0, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 3, 3, 1, 0, 3, 1, 1, 2, 0, + 0, 0, 2, 3, 3, 2, 2, 3, 0, 2, 3, 1, 3, 3, 0, 2, 1, 2, 2, 2, + 1, 0, 1, 3, 2, 3, 1, 1, 2, 1, 1, 0, 0, 2, 3, 2, 1, 0, 3, 1, + 3, 0, 1, 1, 2, 2, 1, 3, 3, 1, 1, 0, 0, 3, 3, 0, 0, 0, 0, 0, + 3, 1, 3, 0, 0, 0, 3, 3, 2, 1, 3, 0, 1, 3, 1, 1, 1, 0, 1, 0, + 1, 2, 2, 2, 3, 3, 0, 2, 3, 2, 1, 3, 3, 1, 1, 3, 0, 3, 3, 2, + 1, 1, 2, 0, 3, 0, 1, 2, 1, 1, 0, 0, 1, 2, 2, 0, 3, 1, 1, 1, + 3, 3, 3, 1, 0, 3, 3, 2, 2, 2, 1, 2, 0, 1, 1, 3, 0, 3, 1, 0, + 2, 2, 0, 1, 2, 3, 2, 1, 2, 0, 3, 2, 1, 3, 0, 1, 2, 0, 3, 0, + 1, 1, 2, 1 +}; + +static data_t verify_data[ARRAY_SIZE] = +{ + 72, 75, 88, 101, 80, 88, 73, 75, 80, 81, 58, 75, 86, 65, 60, 80, 84, 83, 87, 83, + 108, 93, 85, 76, 72, 98, 79, 86, 80, 96, 91, 85, 72, 64, 70, 83, 68, 92, 51, 54, + 85, 85, 60, 58, 90, 64, 55, 69, 72, 48, 94, 77, 91, 83, 70, 69, 67, 77, 59, 50, + 67, 74, 77, 67, 67, 62, 72, 71, 68, 79, 54, 61, 67, 61, 55, 62, 78, 60, 53, 64, + 67, 69, 99, 68, 88, 60, 66, 63, 70, 62, 65, 50, 53, 66, 70, 72, 75, 78, 85, 95, + 71, 89, 70, 68, 86, 88, 58, 77, 84, 70, 65, 68, 73, 75, 91, 96, 105, 92, 76, 68, + 86, 69, 80, 59, 73, 83, 88, 75, 64, 63, 71, 99, 77, 77, 69, 55, 80, 73, 54, 73, + 87, 78, 60, 69, 65, 78, 86, 89, 95, 92, 63, 69, 89, 61, 80, 65, 70, 77, 89, 77, + 79, 79, 73, 92, 64, 81, 60, 78, 81, 80, 61, 63, 89, 65, 56, 83, 77, 65, 102, 70, + 98, 86, 96, 68, 72, 89, 73, 73, 70, 89, 84, 76, 48, 61, 63, 70, 70, 79, 50, 53, + 64, 63, 43, 51, 59, 62, 43, 63, 55, 77, 79, 74, 75, 74, 64, 44, 65, 69, 72, 66, + 54, 71, 74, 72, 69, 76, 68, 89, 94, 75, 65, 53, 85, 79, 65, 74, 82, 73, 58, 70, + 84, 77, 99, 72, 92, 84, 78, 62, 59, 83, 71, 74, 63, 85, 80, 78, 71, 72, 79, 83, + 73, 82, 60, 85, 76, 82, 60, 70, 82, 68, 54, 85, 84, 70, 86, 74, 100, 88, 98, 68, + 67, 87, 69, 73, 68, 88, 76, 71, 47, 43, 47, 80, 54, 65, 40, 37, 59, 53, 33, 48, + 62, 40, 36, 55, 36, 62, 53, 57, 70, 69, 45, 43, 53, 61, 42, 57, 56, 63, 51, 47, + 59, 75, 64, 89, 83, 75, 59, 75, 91, 92, 58, 64, 83, 74, 58, 60, 76, 66, 97, 69, + 90, 95, 92, 64, 78, 75, 77, 73, 65, 78, 82, 75, 47, 54, 59, 71, 59, 56, 53, 42, + 60, 55, 40, 51, 60, 46, 36, 59, 46, 57, 67, 43, 51, 53, 53, 38, 54, 56, 55, 48, + 41, 46, 63, 63, 80, 77, 89, 102, 89, 98, 74, 86, 98, 93, 63, 76, 98, 77, 48, 101, + 86, 88, 100, 82, 102, 90, 95, 75, 86, 103, 83, 98, 80, 104, 98, 86, 71, 74, 80, 90, + 86, 87, 73, 70, 81, 83, 55, 66, 90, 66, 58, 84, 77, 84, 93, 72, 99, 75, 85, 65, + 70, 89, 71, 82, 64, 79, 82, 80, 67, 73, 86, 101, 78, 97, 66, 64, 84, 80, 55, 64, + 79, 73, 51, 79, 89, 68, 94, 77, 109, 102, 82, 61, 66, 93, 88, 70, 82, 82, 85, 69, + 69, 72, 66, 97, 85, 90, 70, 59, 76, 89, 53, 56, 90, 79, 71, 64, 70, 67, 100, 92, + 106, 89, 83, 78, 73, 80, 70, 72, 65, 70, 92, 88, 57, 76, 55, 85, 66, 80, 61, 63, + 63, 78, 54, 58, 71, 73, 54, 63, 63, 62, 89, 76, 86, 81, 83, 54, 70, 81, 78, 64, + 56, 72, 74, 81, 75, 63, 68, 89, 65, 77, 58, 68, 75, 83, 52, 62, 82, 63, 55, 75, + 51, 70, 95, 66, 83, 77, 86, 61, 64, 77, 48, 70, 66, 82, 72, 75, 79, 71, 72, 89, + 78, 78, 66, 59, 91, 80, 55, 64, 79, 68, 54, 71, 67, 75, 87, 84, 100, 101, 76, 58, + 74, 82, 61, 74, 75, 97, 85, 79, 61, 55, 69, 68, 72, 65, 52, 64, 80, 73, 48, 54, + 71, 66, 42, 61, 66, 63, 92, 64, 85, 77, 73, 54, 74, 73, 76, 66, 62, 79, 85, 70, + 71, 84, 87, 81, 88, 86, 77, 77, 93, 88, 78, 71, 101, 89, 58, 84, 95, 81, 89, 97, + 104, 79, 83, 76, 90, 81, 91, 74, 70, 76, 91, 80, 51, 48, 56, 69, 47, 63, 54, 42, + 63, 63, 42, 52, 66, 56, 39, 59, 61, 52, 59, 63, 62, 68, 57, 35, 67, 58, 56, 52, + 61, 63, 60, 47, 85, 75, 89, 106, 88, 95, 74, 82, 107, 107, 64, 78, 98, 90, 62, 91, + 79, 87, 111, 84, 104, 106, 96, 68, 94, 99, 81, 89, 79, 105, 95, 86, 65, 63, 77, 89, + 66, 88, 56, 73, 82, 92, 41, 62, 85, 66, 50, 81, 57, 71, 77, 78, 86, 89, 77, 53, + 67, 78, 61, 63, 72, 82, 69, 66, 59, 46, 55, 70, 56, 64, 45, 50, 65, 64, 42, 56, + 78, 49, 51, 52, 38, 56, 72, 55, 73, 72, 61, 50, 63, 60, 47, 57, 55, 73, 53, 68, + 85, 88, 91, 96, 82, 89, 73, 76, 87, 86, 67, 69, 96, 84, 57, 89, 87, 89, 99, 88, + 104, 90, 85, 75, 88, 92, 85, 75, 74, 87, 103, 94, 55, 48, 56, 65, 72, 50, 45, 51, + 63, 62, 47, 57, 79, 53, 36, 63, 54, 68, 71, 59, 63, 61, 63, 41, 50, 73, 57, 59, + 56, 76, 73, 65, 61, 64, 61, 79, 53, 73, 57, 44, 61, 59, 59, 56, 81, 59, 49, 62, + 65, 55, 69, 72, 79, 70, 58, 57, 68, 61, 62, 50, 57, 60, 66, 66, 63, 77, 81, 89, + 85, 81, 76, 73, 78, 95, 59, 70, 81, 77, 46, 79, 78, 79, 83, 81, 84, 82, 85, 48, + 74, 85, 85, 74, 74, 80, 80, 74, 60, 76, 80, 97, 88, 93, 66, 66, 73, 84, 56, 70, + 90, 63, 58, 78, 73, 93, 90, 78, 94, 88, 82, 67, 85, 70, 81, 86, 74, 82, 88, 82, + 68, 73, 75, 91, 78, 97, 71, 66, 74, 85, 50, 59, 86, 77, 70, 74, 75, 74, 99, 82, + 99, 91, 86, 65, 80, 77, 72, 69, 60, 78, 90, 87, 79, 69, 74, 98, 70, 86, 81, 67, + 69, 78, 48, 65, 88, 70, 70, 70, 69, 72, 96, 90, 99, 82, 81, 76, 98, 73, 74, 71, + 69, 73, 94, 89 +}; + diff --git a/mt/ay_matmul/matmul_gendata.pl b/mt/ay_matmul/matmul_gendata.pl new file mode 100755 index 0000000..f21bb46 --- /dev/null +++ b/mt/ay_matmul/matmul_gendata.pl @@ -0,0 +1,200 @@ +#!/usr/bin/perl -w +#========================================================================== +# matmul_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the matmul benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: matmul_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[ARRAY_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3d",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + + + +#-------------------------------------------------------------------------- +# Matmul +#-------------------------------------------------------------------------- + +# http://answers.oreilly.com/topic/418-how-to-multiply-matrices-in-perl/ + +sub mmult { + my ($m1,$m2) = @_; + my ($m1rows,$m1cols) = matdim($m1); + my ($m2rows,$m2cols) = matdim($m2); + + my $result = [ ]; + my ($i, $j, $k); + + for $i (range($m1rows)) { + for $j (range($m2cols)) { + for $k (range($m1cols)) { + $result->[$i][$j] += $m1->[$i][$k] * $m2->[$k][$j]; + } + } + } + return $result; +} + +sub range { 0 .. ($_[0] - 1) } + + +sub veclen { + my $ary_ref = $_[0]; + my $type = ref $ary_ref; + if ($type ne "ARRAY") { die "$type is bad array ref for $ary_ref" } + return scalar(@$ary_ref); +} + +sub matdim { + my $matrix = $_[0]; + my $rows = veclen($matrix); + my $cols = veclen($matrix->[0]); + return ($rows, $cols); +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + # create random input arrays + my $mat_values1; + my $mat_values2; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + $mat_values1->[$i][$j] = int(rand(4)); + $mat_values2->[$i][$j] = int(rand(4)); + } + } + + # perform matmul + my $mat_results = mmult( $mat_values1, $mat_values2 ); + + # translate 2d arrays to 1d-somethings (I don't know how to code in perl - Chris) + my @values1; + my @values2; + my @results; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + my $value1 = $mat_values1->[$i][$j]; + my $value2 = $mat_values2->[$i][$j]; + my $result = $mat_results->[$i][$j]; + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @results, $result ); + } + } + + print "\n\#define ARRAY_SIZE ".($opts{"size"}*$opts{"size"})." \n\n"; + print "\n\#define DIM_SIZE ".$opts{"size"}." \n\n"; + + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@results); + +} + +main(); + diff --git a/mt/ay_matmul/matmul_mi.c b/mt/ay_matmul/matmul_mi.c new file mode 100644 index 0000000..d58c5b8 --- /dev/null +++ b/mt/ay_matmul/matmul_mi.c @@ -0,0 +1,258 @@ +//**************************************************************************
+// Multi-threaded Matrix Multiply benchmark
+//--------------------------------------------------------------------------
+// TA : Christopher Celio
+// Student:
+//
+//
+// This benchmark multiplies two 2-D arrays together and writes the results to
+// a third vector. The input data (and reference data) should be generated
+// using the matmul_gendata.pl perl script and dumped to a file named
+// dataset.h.
+
+
+// print out arrays, etc.
+//#define DEBUG
+
+//--------------------------------------------------------------------------
+// Includes
+
+#include <string.h>
+#include <stdlib.h>
+#include <stdio.h>
+
+
+//--------------------------------------------------------------------------
+// Input/Reference Data
+
+typedef float data_t;
+#include "dataset.h"
+
+
+//--------------------------------------------------------------------------
+// Basic Utilities and Multi-thread Support
+
+__thread unsigned long coreid;
+unsigned long ncores;
+
+#include "util.h"
+
+#define stringify_1(s) #s
+#define stringify(s) stringify_1(s)
+#define stats(code) do { \
+ unsigned long _c = -rdcycle(), _i = -rdinstret(); \
+ code; \
+ _c += rdcycle(), _i += rdinstret(); \
+ if (coreid == 0) \
+ printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \
+ stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \
+ } while(0)
+
+
+//--------------------------------------------------------------------------
+// Helper functions
+
+void printArray( char name[], int n, data_t arr[] )
+{
+ int i;
+ if (coreid != 0)
+ return;
+
+ printf( " %10s :", name );
+ for ( i = 0; i < n; i++ )
+ printf( " %3ld ", (long) arr[i] );
+ printf( "\n" );
+}
+
+void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct)
+{
+ if (coreid != 0)
+ return;
+
+ size_t i;
+ for (i = 0; i < n; i++)
+ {
+ if (test[i] != correct[i])
+ {
+ printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n",
+ i, (long)test[i], i, (long)correct[i]);
+ exit(-1);
+ }
+ }
+
+ return;
+}
+
+//--------------------------------------------------------------------------
+// matmul function
+
+// single-thread, naive version
+void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] )
+{
+ int i, j, k;
+
+ if (coreid > 0)
+ return;
+
+ for ( i = 0; i < lda; i++ )
+ for ( j = 0; j < lda; j++ )
+ {
+ for ( k = 0; k < lda; k++ )
+ {
+ C[i + j*lda] += A[j*lda + k] * B[k*lda + i];
+ }
+ }
+
+}
+
+void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] )
+{
+ static __thread int i, j, k;
+ static __thread data_t tempA0, tempA1, tempA2, tempA3, tempA4, tempA5, tempA6, tempA7;
+ static __thread data_t tempC0, tempC1, tempC2, tempC3, tempC4, tempC5, tempC6, tempC7, tempC8, tempC9, tempC10, tempC11, tempC12, tempC13, tempC14, tempC15;
+
+ static __thread int start, end, jStride, jToRow, jToCol;
+ static data_t A1[1024], B1[1024];;
+
+ start = coreid << 9;
+ end = (coreid+1) << 9;
+ jStride = 8;
+
+ if (coreid == 0) {
+ for (j=start; j < end; j+=jStride) {
+ jToRow = (j>>5)<<5;
+ jToCol = j%32;
+ tempC0 = 0;
+ tempC1 = 0;
+ tempC2 = 0;
+ tempC3 = 0;
+ tempC4 = 0;
+ tempC5 = 0;
+ tempC6 = 0;
+ tempC7 = 0;
+ for ( i=0; i < lda; i+=2 ) {
+ tempA0 = A[i + jToRow];
+ tempA1 = A[i+1 + jToRow];
+ tempC0 += tempA0 * B[(jToCol ) + (i<<5)];
+ tempC1 += tempA0 * B[(jToCol+1 ) + (i<<5)];
+ tempC2 += tempA0 * B[(jToCol+2 ) + (i<<5)];
+ tempC3 += tempA0 * B[(jToCol+3 ) + (i<<5)];
+ tempC4 += tempA0 * B[(jToCol+4 ) + (i<<5)];
+ tempC5 += tempA0 * B[(jToCol+5 ) + (i<<5)];
+ tempC6 += tempA0 * B[(jToCol+6 ) + (i<<5)];
+ tempC7 += tempA0 * B[(jToCol+7 ) + (i<<5)];
+ tempC0 += tempA1 * B[(jToCol ) + ((i+1)<<5)];
+ tempC1 += tempA1 * B[(jToCol+1 ) + ((i+1)<<5)];
+ tempC2 += tempA1 * B[(jToCol+2 ) + ((i+1)<<5)];
+ tempC3 += tempA1 * B[(jToCol+3 ) + ((i+1)<<5)];
+ tempC4 += tempA1 * B[(jToCol+4 ) + ((i+1)<<5)];
+ tempC5 += tempA1 * B[(jToCol+5 ) + ((i+1)<<5)];
+ tempC6 += tempA1 * B[(jToCol+6 ) + ((i+1)<<5)];
+ tempC7 += tempA1 * B[(jToCol+7 ) + ((i+1)<<5)];
+ }
+ C[j] =tempC0;
+ C[j + 1 ]=tempC1;
+ C[j + 2 ]=tempC2;
+ C[j + 3 ]=tempC3;
+ C[j + 4 ]=tempC4;
+ C[j + 5 ]=tempC5;
+ C[j + 6 ]=tempC6;
+ C[j + 7 ]=tempC7;
+ }
+ }
+ else {
+ for (i = 0; i < 1024; i++) {
+ A1[i] = A[i];
+ B1[i] = B[i];
+ }
+ for (j=start; j < end; j+=jStride) {
+ jToRow = (j>>5)<<5;
+ jToCol = j%32;
+ tempC0 = 0;
+ tempC1 = 0;
+ tempC2 = 0;
+ tempC3 = 0;
+ tempC4 = 0;
+ tempC5 = 0;
+ tempC6 = 0;
+ tempC7 = 0;
+ for ( i=0; i < lda; i+=2 ) {
+ tempA0 = A1[i + jToRow];
+ tempA1 = A1[i+1 + jToRow];
+ tempC0 += tempA0 * B1[(jToCol ) + (i<<5)];
+ tempC1 += tempA0 * B1[(jToCol+1 ) + (i<<5)];
+ tempC2 += tempA0 * B1[(jToCol+2 ) + (i<<5)];
+ tempC3 += tempA0 * B1[(jToCol+3 ) + (i<<5)];
+ tempC4 += tempA0 * B1[(jToCol+4 ) + (i<<5)];
+ tempC5 += tempA0 * B1[(jToCol+5 ) + (i<<5)];
+ tempC6 += tempA0 * B1[(jToCol+6 ) + (i<<5)];
+ tempC7 += tempA0 * B1[(jToCol+7 ) + (i<<5)];
+ tempC0 += tempA1 * B1[(jToCol ) + ((i+1)<<5)];
+ tempC1 += tempA1 * B1[(jToCol+1 ) + ((i+1)<<5)];
+ tempC2 += tempA1 * B1[(jToCol+2 ) + ((i+1)<<5)];
+ tempC3 += tempA1 * B1[(jToCol+3 ) + ((i+1)<<5)];
+ tempC4 += tempA1 * B1[(jToCol+4 ) + ((i+1)<<5)];
+ tempC5 += tempA1 * B1[(jToCol+5 ) + ((i+1)<<5)];
+ tempC6 += tempA1 * B1[(jToCol+6 ) + ((i+1)<<5)];
+ tempC7 += tempA1 * B1[(jToCol+7 ) + ((i+1)<<5)];
+ }
+ C[j] =tempC0;
+ C[j + 1 ]=tempC1;
+ C[j + 2 ]=tempC2;
+ C[j + 3 ]=tempC3;
+ C[j + 4 ]=tempC4;
+ C[j + 5 ]=tempC5;
+ C[j + 6 ]=tempC6;
+ C[j + 7 ]=tempC7;
+ }
+ }
+}
+
+//--------------------------------------------------------------------------
+// Main
+//
+// all threads start executing thread_entry(). Use their "coreid" to
+// differentiate between threads (each thread is running on a separate core).
+
+void thread_entry(int cid, int nc)
+{
+ coreid = cid;
+ ncores = nc;
+
+ // static allocates data in the binary, which is visible to both threads
+ static data_t results_data[ARRAY_SIZE];
+
+
+ //// Execute the provided, naive matmul
+ //barrier();
+ //stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier());
+
+ //
+ //// verify
+ //verify(ARRAY_SIZE, results_data, verify_data);
+ //
+ //// clear results from the first trial
+ //size_t i;
+ //if (coreid == 0)
+ // for (i=0; i < ARRAY_SIZE; i++)
+ // results_data[i] = 0;
+ //barrier();
+
+
+ // Execute your faster matmul
+ barrier();
+ stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier());
+
+#ifdef DEBUG
+ printArray("results:", ARRAY_SIZE, results_data);
+ printArray("verify :", ARRAY_SIZE, verify_data);
+#endif
+
+ // verify
+ verify(ARRAY_SIZE, results_data, verify_data);
+ barrier();
+
+ exit(0);
+}
+
+
diff --git a/mt/ay_vvadd/ay_vvadd.c b/mt/ay_vvadd/ay_vvadd.c new file mode 100755 index 0000000..0455a41 --- /dev/null +++ b/mt/ay_vvadd/ay_vvadd.c @@ -0,0 +1,175 @@ +//************************************************************************** +// Vector-vector add benchmark +//-------------------------------------------------------------------------- +// Author : Andrew Waterman +// TA : Christopher Celio +// Student : +// +// This benchmark adds two vectors and writes the results to a +// third vector. The input data (and reference data) should be +// generated using the vvadd_gendata.pl perl script and dumped +// to a file named dataset.h + +// to print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DATA_SIZE, 10*_c/DATA_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %4ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %4ld, correct[%d]= %4ld\n", + i, (long) test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// vvadd function + +//perform in-place vvadd +void __attribute__((noinline)) vvadd(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + size_t i; + + // interleave accesses + for (i = coreid; i < n; i+=ncores) + { + x[i] = x[i] + y[i]; + } +} + +void __attribute__((noinline)) vvadd_opt(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + size_t i; + + // Each core uses its own block + if (coreid == 0) { + for (i = 0; i < (n/2); i++) { + x[i] = x[i] + y[i]; + } + } + else { + for (i = (n/2); i < n; i++) { + x[i] = x[i] + y[i]; + } + } +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[DATA_SIZE]; + + // because we're going to perform an in-place vvadd (and we're going to run + // it a couple of times) let's copy the input data to a temporary results + // array + + size_t i; + if (coreid == 0) + { + for (i = 0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + + + // Execute the provided, terrible vvadd + barrier(); + stats(vvadd(DATA_SIZE, results_data, input2_data); barrier()); + + + // verify + verify(DATA_SIZE, results_data, verify_data); + + // reset results from the first trial + if (coreid == 0) + { + for (i=0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + barrier(); + + + // Execute your faster vvadd + barrier(); + stats(vvadd_opt(DATA_SIZE, results_data, input2_data); barrier()); + +#ifdef DEBUG + printArray("results: ", DATA_SIZE, results_data); + printArray("verify : ", DATA_SIZE, verify_data); +#endif + + // verify + verify(DATA_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/ay_vvadd/dataset.h b/mt/ay_vvadd/dataset.h new file mode 100755 index 0000000..ce9f936 --- /dev/null +++ b/mt/ay_vvadd/dataset.h @@ -0,0 +1,165 @@ + +#define DATA_SIZE 1000 + +static data_t input1_data[DATA_SIZE] = +{ + 0.00, 15.00, 10.00, 3.00, 14.00, 6.00, 2.00, 18.00, 11.00, 15.00, 11.00, 0.00, 17.00, 16.00, 7.00, 13.00, 18.00, 2.00, 2.00, 5.00, + 8.00, 5.00, 12.00, 14.00, 6.00, 12.00, 16.00, 7.00, 9.00, 17.00, 10.00, 10.00, 3.00, 5.00, 14.00, 11.00, 9.00, 12.00, 3.00, 1.00, + 5.00, 4.00, 6.00, 17.00, 17.00, 4.00, 17.00, 15.00, 17.00, 18.00, 3.00, 18.00, 10.00, 6.00, 12.00, 12.00, 3.00, 2.00, 16.00, 1.00, + 5.00, 6.00, 2.00, 17.00, 16.00, 5.00, 10.00, 18.00, 14.00, 4.00, 9.00, 9.00, 7.00, 4.00, 8.00, 13.00, 12.00, 6.00, 4.00, 17.00, + 5.00, 2.00, 11.00, 11.00, 7.00, 6.00, 8.00, 5.00, 6.00, 6.00, 11.00, 1.00, 18.00, 7.00, 6.00, 9.00, 10.00, 17.00, 14.00, 4.00, + 14.00, 11.00, 2.00, 0.00, 2.00, 17.00, 17.00, 15.00, 10.00, 8.00, 12.00, 18.00, 5.00, 0.00, 0.00, 1.00, 1.00, 8.00, 11.00, 11.00, + 7.00, 5.00, 15.00, 18.00, 15.00, 6.00, 8.00, 9.00, 18.00, 6.00, 15.00, 16.00, 10.00, 18.00, 13.00, 6.00, 10.00, 16.00, 0.00, 10.00, + 12.00, 8.00, 8.00, 3.00, 0.00, 1.00, 4.00, 0.00, 8.00, 15.00, 16.00, 9.00, 7.00, 7.00, 10.00, 9.00, 16.00, 12.00, 5.00, 5.00, + 9.00, 5.00, 17.00, 4.00, 13.00, 13.00, 4.00, 14.00, 10.00, 5.00, 10.00, 10.00, 6.00, 18.00, 5.00, 15.00, 5.00, 15.00, 13.00, 18.00, + 6.00, 13.00, 5.00, 18.00, 12.00, 14.00, 1.00, 7.00, 2.00, 1.00, 7.00, 12.00, 15.00, 15.00, 6.00, 2.00, 1.00, 2.00, 18.00, 6.00, + 10.00, 14.00, 9.00, 15.00, 11.00, 0.00, 3.00, 1.00, 2.00, 2.00, 14.00, 7.00, 18.00, 0.00, 2.00, 2.00, 16.00, 8.00, 4.00, 5.00, + 7.00, 11.00, 7.00, 10.00, 14.00, 10.00, 3.00, 0.00, 13.00, 9.00, 14.00, 0.00, 14.00, 1.00, 3.00, 16.00, 2.00, 14.00, 6.00, 17.00, + 17.00, 6.00, 9.00, 8.00, 9.00, 12.00, 5.00, 14.00, 2.00, 16.00, 17.00, 5.00, 4.00, 0.00, 14.00, 10.00, 6.00, 15.00, 15.00, 14.00, + 5.00, 1.00, 8.00, 8.00, 13.00, 8.00, 0.00, 4.00, 7.00, 9.00, 13.00, 16.00, 9.00, 14.00, 9.00, 13.00, 0.00, 7.00, 16.00, 17.00, + 18.00, 10.00, 13.00, 8.00, 4.00, 9.00, 13.00, 0.00, 6.00, 4.00, 6.00, 4.00, 10.00, 14.00, 14.00, 9.00, 15.00, 15.00, 3.00, 3.00, + 12.00, 0.00, 3.00, 2.00, 16.00, 1.00, 7.00, 2.00, 16.00, 2.00, 2.00, 0.00, 14.00, 3.00, 3.00, 10.00, 4.00, 10.00, 3.00, 4.00, + 13.00, 14.00, 13.00, 0.00, 1.00, 15.00, 16.00, 9.00, 7.00, 9.00, 0.00, 11.00, 1.00, 1.00, 15.00, 17.00, 12.00, 16.00, 15.00, 4.00, + 8.00, 2.00, 10.00, 10.00, 0.00, 18.00, 17.00, 7.00, 7.00, 2.00, 10.00, 17.00, 9.00, 7.00, 5.00, 3.00, 8.00, 11.00, 6.00, 9.00, + 13.00, 0.00, 3.00, 5.00, 2.00, 5.00, 7.00, 4.00, 9.00, 2.00, 13.00, 17.00, 14.00, 12.00, 1.00, 3.00, 7.00, 17.00, 0.00, 14.00, + 16.00, 2.00, 2.00, 1.00, 2.00, 15.00, 16.00, 8.00, 2.00, 4.00, 15.00, 15.00, 10.00, 6.00, 11.00, 9.00, 15.00, 17.00, 3.00, 8.00, + 15.00, 3.00, 10.00, 15.00, 8.00, 14.00, 16.00, 15.00, 15.00, 14.00, 1.00, 7.00, 4.00, 18.00, 2.00, 13.00, 11.00, 15.00, 7.00, 10.00, + 13.00, 10.00, 7.00, 14.00, 18.00, 4.00, 18.00, 4.00, 3.00, 9.00, 1.00, 13.00, 15.00, 2.00, 5.00, 15.00, 12.00, 10.00, 2.00, 0.00, + 10.00, 15.00, 0.00, 11.00, 14.00, 11.00, 14.00, 9.00, 1.00, 18.00, 14.00, 18.00, 15.00, 5.00, 1.00, 15.00, 18.00, 14.00, 3.00, 15.00, + 11.00, 2.00, 15.00, 0.00, 13.00, 1.00, 4.00, 14.00, 14.00, 5.00, 2.00, 13.00, 17.00, 8.00, 7.00, 6.00, 5.00, 10.00, 14.00, 14.00, + 17.00, 0.00, 0.00, 17.00, 18.00, 15.00, 10.00, 16.00, 18.00, 5.00, 9.00, 10.00, 18.00, 7.00, 11.00, 5.00, 4.00, 16.00, 2.00, 8.00, + 13.00, 1.00, 12.00, 3.00, 4.00, 6.00, 15.00, 12.00, 0.00, 6.00, 18.00, 12.00, 14.00, 18.00, 3.00, 2.00, 3.00, 5.00, 3.00, 14.00, + 18.00, 12.00, 10.00, 11.00, 8.00, 4.00, 10.00, 10.00, 9.00, 18.00, 14.00, 3.00, 7.00, 17.00, 12.00, 0.00, 10.00, 9.00, 17.00, 3.00, + 0.00, 4.00, 6.00, 16.00, 14.00, 12.00, 13.00, 13.00, 18.00, 7.00, 0.00, 1.00, 9.00, 7.00, 12.00, 6.00, 18.00, 8.00, 9.00, 13.00, + 13.00, 17.00, 10.00, 16.00, 1.00, 10.00, 17.00, 16.00, 2.00, 18.00, 4.00, 2.00, 6.00, 1.00, 1.00, 1.00, 8.00, 14.00, 6.00, 6.00, + 13.00, 14.00, 13.00, 6.00, 5.00, 10.00, 11.00, 11.00, 16.00, 1.00, 5.00, 9.00, 13.00, 8.00, 10.00, 2.00, 12.00, 15.00, 5.00, 14.00, + 3.00, 7.00, 9.00, 18.00, 2.00, 11.00, 16.00, 4.00, 5.00, 10.00, 17.00, 10.00, 3.00, 4.00, 14.00, 18.00, 13.00, 6.00, 8.00, 11.00, + 14.00, 3.00, 5.00, 6.00, 6.00, 5.00, 13.00, 0.00, 9.00, 9.00, 1.00, 7.00, 5.00, 5.00, 1.00, 6.00, 18.00, 11.00, 17.00, 7.00, + 1.00, 10.00, 5.00, 12.00, 6.00, 16.00, 16.00, 5.00, 1.00, 10.00, 10.00, 15.00, 7.00, 18.00, 8.00, 17.00, 3.00, 5.00, 3.00, 14.00, + 0.00, 16.00, 12.00, 0.00, 14.00, 17.00, 16.00, 2.00, 18.00, 13.00, 10.00, 13.00, 4.00, 14.00, 2.00, 3.00, 4.00, 8.00, 17.00, 0.00, + 6.00, 11.00, 5.00, 3.00, 3.00, 2.00, 15.00, 13.00, 10.00, 4.00, 1.00, 11.00, 6.00, 17.00, 1.00, 0.00, 18.00, 3.00, 3.00, 11.00, + 7.00, 7.00, 11.00, 14.00, 7.00, 16.00, 11.00, 10.00, 8.00, 6.00, 11.00, 5.00, 17.00, 10.00, 7.00, 8.00, 14.00, 2.00, 9.00, 17.00, + 15.00, 13.00, 10.00, 6.00, 0.00, 15.00, 11.00, 10.00, 11.00, 18.00, 2.00, 5.00, 17.00, 18.00, 11.00, 15.00, 3.00, 17.00, 9.00, 17.00, + 8.00, 6.00, 2.00, 4.00, 2.00, 11.00, 15.00, 2.00, 18.00, 3.00, 9.00, 7.00, 15.00, 9.00, 14.00, 10.00, 9.00, 6.00, 13.00, 8.00, + 15.00, 14.00, 0.00, 11.00, 5.00, 2.00, 12.00, 14.00, 10.00, 16.00, 9.00, 7.00, 9.00, 17.00, 4.00, 4.00, 7.00, 8.00, 4.00, 4.00, + 9.00, 7.00, 3.00, 5.00, 11.00, 11.00, 10.00, 13.00, 3.00, 14.00, 15.00, 8.00, 1.00, 1.00, 3.00, 0.00, 16.00, 9.00, 6.00, 1.00, + 0.00, 2.00, 0.00, 6.00, 13.00, 12.00, 5.00, 18.00, 1.00, 11.00, 17.00, 11.00, 16.00, 14.00, 14.00, 9.00, 11.00, 9.00, 17.00, 15.00, + 5.00, 18.00, 2.00, 11.00, 10.00, 16.00, 18.00, 5.00, 11.00, 12.00, 11.00, 18.00, 7.00, 6.00, 8.00, 3.00, 4.00, 3.00, 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vvadd_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the vvadd benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: vvadd_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[DATA_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3.2f",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + my @values1; + my @values2; + my @sum; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + my $value1 = int(rand(19)); + my $value2 = int(rand(19)); + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @sum, $value1 + $value2 ); + } + + + print "\n\#define DATA_SIZE ".$opts{"size"}." \n\n"; + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@sum ); + +} + +main(); + diff --git a/mt/az_matmul/.matmul.c.swp b/mt/az_matmul/.matmul.c.swp Binary files differnew file mode 100644 index 0000000..f9021cb --- /dev/null +++ b/mt/az_matmul/.matmul.c.swp diff --git a/mt/az_matmul/az_matmul.c b/mt/az_matmul/az_matmul.c new file mode 100755 index 0000000..56f02d3 --- /dev/null +++ b/mt/az_matmul/az_matmul.c @@ -0,0 +1,416 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + +data_t ffmul(data_t a, data_t b) { + data_t result = 0; + + for (int i=0; i < b; i++) { + result += a; + } + + return result; +} + + +//void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +//{ +// +// // ***************************** // +// // **** ADD YOUR CODE HERE ***** // +// // ***************************** // +// // +// // feel free to make a separate function for MI and MSI versions. +// +// static __thread int i, j, k; +// static __thread int jlda, ilda; +// static __thread data_t tempA1, tempA2, tempA3, tempA4, tempA5, tempA6, tempA7, tempA8; +// static __thread int start, end; +// +// start = coreid*(lda>>1); +// end = (coreid+1)*(lda>>1); +// +// for (j=start; j < end; j+=1) { +// jlda = j * lda; +// for ( i=0; i < lda; i+=1 ) { +// ilda = i*lda; +// tempA1 = A[i + jlda]; +// //tempA2 = A[i+1 + jlda]; +// //tempA3 = A[i+2 + jlda]; +// //tempA4 = A[i+3 + jlda]; +// //tempA5 = A[i+4 + jlda]; +// //tempA6 = A[i+5 + jlda]; +// //tempA7 = A[i+6 + jlda]; +// //tempA8 = A[i+7 + jlda]; +// //tempC1 = C[i + j*lda]; +// //tempC2 = C[i+1 + j*lda]; +// for(k=0; k < lda; k+=1) { +// //C[k + jlda] += tempA1 * B[k + i*lda] + tempA2 * B[k + (i+1)*lda] + tempA3 * B[k + (i+2)*lda] + tempA4 * B[k + (i+3)*lda] + +// // tempA5 * B[k + (i+4)*lda] + tempA6 * B[k + (i+5)*lda] + tempA7 * B[k + (i+6)*lda] + tempA8 * B[k + (i+7)*lda]; +// +// C[k + jlda] += tempA1* B[k + i*lda];// + ffmul(tempA2,B[k + (i+1)*lda]) + tempA3 * B[k + (i+2)*lda] + tempA4 * B[k + (i+3)*lda] + +// // tempA5 * B[k + (i+4)*lda] + tempA6 * B[k + (i+5)*lda] + tempA7 * B[k + (i+6)*lda] + tempA8 * B[k + (i+7)*lda]; +// // +// //C[k+1 + jlda] += tempA1 * B[k+1 + i*lda] + tempA2 * B[k+1 + (i+1)*lda] + tempA3 * B[k+1 + (i+2)*lda] + tempA4 * B[k+1 + (i+3)*lda] + +// // tempA5 * B[k+1 + (i+4)*lda] + tempA6 * B[k+1 + (i+5)*lda] + tempA7 * B[k+1 + (i+6)*lda] + tempA8 * B[k+1 + (i+7)*lda]; +// // +// //C[k+2 + jlda] += tempA1 * B[k+2 + i*lda] + tempA2 * B[k+2 + (i+1)*lda] + tempA3 * B[k+2 + (i+2)*lda] + tempA4 * B[k+2 + (i+3)*lda] + +// // tempA5 * B[k+2 + (i+4)*lda] + tempA6 * B[k+2 + (i+5)*lda] + tempA7 * B[k+2 + (i+6)*lda] + tempA8 * B[k+2 + (i+7)*lda]; +// // +// //C[k+3 + jlda] += tempA1 * B[k+3 + i*lda] + tempA2 * B[k+3 + (i+1)*lda] + tempA3 * B[k+3 + (i+2)*lda] + tempA4 * B[k+3 + (i+3)*lda] + +// // tempA5 * B[k+3 + (i+4)*lda] + tempA6 * B[k+3 + (i+5)*lda] + tempA7 * B[k+3 + (i+6)*lda] + tempA8 * B[k+3 + (i+7)*lda]; +// // +// //C[k+4 + jlda] += tempA1 * B[k+4 + i*lda] + tempA2 * B[k+4 + (i+1)*lda] + tempA3 * B[k+4 + (i+2)*lda] + tempA4 * B[k+4 + (i+3)*lda] + +// // tempA5 * B[k+4 + (i+4)*lda] + tempA6 * B[k+4 + (i+5)*lda] + tempA7 * B[k+4 + (i+6)*lda] + tempA8 * B[k+4 + (i+7)*lda]; +// // +// //C[k+5 + jlda] += tempA1 * B[k+5 + i*lda] + tempA2 * B[k+5 + (i+1)*lda] + tempA3 * B[k+5 + (i+2)*lda] + tempA4 * B[k+5 + (i+3)*lda] + +// // tempA5 * B[k+5 + (i+4)*lda] + tempA6 * B[k+5 + (i+5)*lda] + tempA7 * B[k+5 + (i+6)*lda] + tempA8 * B[k+5 + (i+7)*lda]; +// // +// //C[k+6 + jlda] += tempA1 * B[k+6 + i*lda] + tempA2 * B[k+6 + (i+1)*lda] + tempA3 * B[k+6 + (i+2)*lda] + tempA4 * B[k+6 + (i+3)*lda] + +// // tempA5 * B[k+6 + (i+4)*lda] + tempA6 * B[k+6 + (i+5)*lda] + tempA7 * B[k+6 + (i+6)*lda] + tempA8 * B[k+6 + (i+7)*lda]; +// // +// //C[k+7 + jlda] += tempA1 * B[k+7 + i*lda] + tempA2 * B[k+7 + (i+1)*lda] + tempA3 * B[k+7 + (i+2)*lda] + tempA4 * B[k+7 + (i+3)*lda] + +// // tempA5 * B[k+7 + (i+4)*lda] + tempA6 * B[k+7 + (i+5)*lda] + tempA7 * B[k+7 + (i+6)*lda] + tempA8 * B[k+7 + (i+7)*lda]; +// +// +// } +// } +// } +//} + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + + static __thread int i, j, k; + static __thread data_t tempA0, tempA1, tempA2, tempA3, tempA4, tempA5, tempA6, tempA7; + static __thread data_t tempC0, tempC1, tempC2, tempC3, tempC4, tempC5, tempC6, tempC7; //tempC8, tempC9, tempC10, tempC11, tempC12, tempC13, tempC14, tempC15; + + static __thread int start, end, jStride, jToRow, jToCol, iToRow; + + start = coreid << 9; + end = (coreid+1) << 9; + jStride = 8; + + for (j=start; j < end; j+=jStride) { + jToRow = (j>>5)<<5; + jToCol = j%32; + tempC0 = 0; + tempC1 = 0; + tempC2 = 0; + tempC3 = 0; + tempC4 = 0; + tempC5 = 0; + tempC6 = 0; + tempC7 = 0; + //tempC8 = 0; + //tempC9 = 0; + //tempC10 = 0; + //tempC11 = 0; + //tempC12 = 0; + //tempC13 = 0; + //tempC14 = 0; + //tempC15 = 0; + + for ( i=0; i < lda; i+=2 ) { + iToRow = i << 5; + + tempA0 = A[i + jToRow]; + tempA1 = A[i+1 + jToRow]; + //tempA2 = A[i+2 + jToRow]; + //tempA3 = A[i+3 + jToRow]; + //tempA4 = A[i+4 + jToRow]; + //tempA5 = A[i+5 + jToRow]; + //tempA6 = A[i+6 + jToRow]; + //tempA7 = A[i+7 + jToRow]; + + tempC0 += tempA0 * B[(jToCol ) + (iToRow)]; + tempC1 += tempA0 * B[(jToCol+1 ) + (iToRow)]; + tempC2 += tempA0 * B[(jToCol+2 ) + (iToRow)]; + tempC3 += tempA0 * B[(jToCol+3 ) + (iToRow)]; + tempC4 += tempA0 * B[(jToCol+4 ) + (iToRow)]; + tempC5 += tempA0 * B[(jToCol+5 ) + (iToRow)]; + tempC6 += tempA0 * B[(jToCol+6 ) + (iToRow)]; + tempC7 += tempA0 * B[(jToCol+7 ) + (iToRow)]; + //tempC8 += tempA0 * B[(jToCol+8 ) + (iToRow)]; + //tempC9 += tempA0 * B[(jToCol+9 ) + (iToRow)]; + //tempC10 += tempA0 * B[(jToCol+10) + (iToRow)]; + //tempC11 += tempA0 * B[(jToCol+11) + (iToRow)]; + //tempC12 += tempA0 * B[(jToCol+12) + (iToRow)]; + //tempC13 += tempA0 * B[(jToCol+13) + (iToRow)]; + //tempC14 += tempA0 * B[(jToCol+14) + (iToRow)]; + //tempC15 += tempA0 * B[(jToCol+15) + (iToRow)]; + + iToRow += 32; + tempC0 += tempA1 * B[(jToCol ) + (iToRow)]; + tempC1 += tempA1 * B[(jToCol+1 ) + (iToRow)]; + tempC2 += tempA1 * B[(jToCol+2 ) + (iToRow)]; + tempC3 += tempA1 * B[(jToCol+3 ) + (iToRow)]; + tempC4 += tempA1 * B[(jToCol+4 ) + (iToRow)]; + tempC5 += tempA1 * B[(jToCol+5 ) + (iToRow)]; + tempC6 += tempA1 * B[(jToCol+6 ) + (iToRow)]; + tempC7 += tempA1 * B[(jToCol+7 ) + (iToRow)]; + //tempC8 += tempA1 * B[(jToCol+8 ) + (iToRow+32)]; + //tempC9 += tempA1 * B[(jToCol+9 ) + (iToRow+32)]; + //tempC10 += tempA1 * B[(jToCol+10) + (iToRow+32)]; + //tempC11 += tempA1 * B[(jToCol+11) + (iToRow+32)]; + //tempC12 += tempA1 * B[(jToCol+12) + (iToRow+32)]; + //tempC13 += tempA1 * B[(jToCol+13) + (iToRow+32)]; + //tempC14 += tempA1 * B[(jToCol+14) + (iToRow+32)]; + //tempC15 += tempA1 * B[(jToCol+15) + (iToRow+32)]; + + //iToRow += 32; + //tempC0 += tempA2 * B[(jToCol ) + (iToRow)]; + //tempC1 += tempA2 * B[(jToCol+1 ) + (iToRow)]; + //tempC2 += tempA2 * B[(jToCol+2 ) + (iToRow)]; + //tempC3 += tempA2 * B[(jToCol+3 ) + (iToRow)]; + //tempC4 += tempA2 * B[(jToCol+4 ) + (iToRow)]; + //tempC5 += tempA2 * B[(jToCol+5 ) + (iToRow)]; + //tempC6 += tempA2 * B[(jToCol+6 ) + (iToRow)]; + //tempC7 += tempA2 * B[(jToCol+7 ) + (iToRow)]; + //tempC8 += tempA2 * B[(jToCol+8 ) + (iToRow)]; + //tempC9 += tempA2 * B[(jToCol+9 ) + (iToRow)]; + //tempC10 += tempA2 * B[(jToCol+10) + (iToRow)]; + //tempC11 += tempA2 * B[(jToCol+11) + (iToRow)]; + //tempC12 += tempA2 * B[(jToCol+12) + (iToRow)]; + //tempC13 += tempA2 * B[(jToCol+13) + (iToRow)]; + //tempC14 += tempA2 * B[(jToCol+14) + (iToRow)]; + //tempC15 += tempA2 * B[(jToCol+15) + (iToRow)]; + + //iToRow += 32; + //tempC0 += tempA3 * B[(jToCol ) + (iToRow)]; + //tempC1 += tempA3 * B[(jToCol+1 ) + (iToRow)]; + //tempC2 += tempA3 * B[(jToCol+2 ) + (iToRow)]; + //tempC3 += tempA3 * B[(jToCol+3 ) + (iToRow)]; + //tempC4 += tempA3 * B[(jToCol+4 ) + (iToRow)]; + //tempC5 += tempA3 * B[(jToCol+5 ) + (iToRow)]; + //tempC6 += tempA3 * B[(jToCol+6 ) + (iToRow)]; + //tempC7 += tempA3 * B[(jToCol+7 ) + (iToRow)]; + //tempC8 += tempA3 * B[(jToCol+8 ) + (iToRow)]; + //tempC9 += tempA3 * B[(jToCol+9 ) + (iToRow)]; + //tempC10 += tempA3 * B[(jToCol+10) + (iToRow)]; + //tempC11 += tempA3 * B[(jToCol+11) + (iToRow)]; + //tempC12 += tempA3 * B[(jToCol+12) + (iToRow)]; + //tempC13 += tempA3 * B[(jToCol+13) + (iToRow)]; + //tempC14 += tempA3 * B[(jToCol+14) + (iToRow)]; + //tempC15 += tempA3 * B[(jToCol+15) + (iToRow)]; + + //iToRow += 32; + //tempC0 += tempA4 * B[(jToCol ) + (iToRow)]; + //tempC1 += tempA4 * B[(jToCol+1 ) + (iToRow)]; + //tempC2 += tempA4 * B[(jToCol+2 ) + (iToRow)]; + //tempC3 += tempA4 * B[(jToCol+3 ) + (iToRow)]; + //tempC4 += tempA4 * B[(jToCol+4 ) + (iToRow)]; + //tempC5 += tempA4 * B[(jToCol+5 ) + (iToRow)]; + //tempC6 += tempA4 * B[(jToCol+6 ) + (iToRow)]; + //tempC7 += tempA4 * B[(jToCol+7 ) + (iToRow)]; + // + //iToRow += 32; + //tempC0 += tempA5 * B[(jToCol ) + (iToRow)]; + //tempC1 += tempA5 * B[(jToCol+1 ) + (iToRow)]; + //tempC2 += tempA5 * B[(jToCol+2 ) + (iToRow)]; + //tempC3 += tempA5 * B[(jToCol+3 ) + (iToRow)]; + //tempC4 += tempA5 * B[(jToCol+4 ) + (iToRow)]; + //tempC5 += tempA5 * B[(jToCol+5 ) + (iToRow)]; + //tempC6 += tempA5 * B[(jToCol+6 ) + (iToRow)]; + //tempC7 += tempA5 * B[(jToCol+7 ) + (iToRow)]; + // + //iToRow += 32; + //tempC0 += tempA6 * B[(jToCol ) + (iToRow)]; + //tempC1 += tempA6 * B[(jToCol+1 ) + (iToRow)]; + //tempC2 += tempA6 * B[(jToCol+2 ) + (iToRow)]; + //tempC3 += tempA6 * B[(jToCol+3 ) + (iToRow)]; + //tempC4 += tempA6 * B[(jToCol+4 ) + (iToRow)]; + //tempC5 += tempA6 * B[(jToCol+5 ) + (iToRow)]; + //tempC6 += tempA6 * B[(jToCol+6 ) + (iToRow)]; + //tempC7 += tempA6 * B[(jToCol+7 ) + (iToRow)]; + // + //iToRow += 32; + //tempC0 += tempA7 * B[(jToCol ) + (iToRow)]; + //tempC1 += tempA7 * B[(jToCol+1 ) + (iToRow)]; + //tempC2 += tempA7 * B[(jToCol+2 ) + (iToRow)]; + //tempC3 += tempA7 * B[(jToCol+3 ) + (iToRow)]; + //tempC4 += tempA7 * B[(jToCol+4 ) + (iToRow)]; + //tempC5 += tempA7 * B[(jToCol+5 ) + (iToRow)]; + //tempC6 += tempA7 * B[(jToCol+6 ) + (iToRow)]; + //tempC7 += tempA7 * B[(jToCol+7 ) + (iToRow)]; + + } + C[j ] = tempC0; + C[j + 1 ] = tempC1; + C[j + 2 ] = tempC2; + C[j + 3 ] = tempC3; + C[j + 4 ] = tempC4; + C[j + 5 ] = tempC5; + C[j + 6 ] = tempC6; + C[j + 7 ] = tempC7; + //C[j + 8 ] = tempC8 ; + //C[j + 9 ] = tempC9 ; + //C[j + 10] = tempC10; + //C[j + 11] = tempC11; + //C[j + 12] = tempC12; + //C[j + 13] = tempC13; + //C[j + 14] = tempC14; + //C[j + 15] = tempC15; + } +} + + + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + + //// Execute the provided, naive matmul + //barrier(); + //stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + + // + //// verify + //verify(ARRAY_SIZE, results_data, verify_data); + // + //// clear results from the first trial + //size_t i; + //if (coreid == 0) + // for (i=0; i < ARRAY_SIZE; i++) + // results_data[i] = 0; + //barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/az_matmul/dataset.h b/mt/az_matmul/dataset.h new file mode 100755 index 0000000..dde3ee4 --- /dev/null +++ b/mt/az_matmul/dataset.h @@ -0,0 +1,174 @@ + +#define ARRAY_SIZE 1024 + + +#define DIM_SIZE 32 + +static data_t input1_data[ARRAY_SIZE] = +{ + 0, 3, 2, 0, 3, 1, 0, 3, 2, 3, 2, 0, 3, 3, 1, 2, 3, 0, 0, 1, + 1, 1, 2, 3, 1, 2, 3, 1, 1, 3, 2, 2, 0, 1, 3, 2, 2, 2, 0, 0, + 1, 0, 1, 3, 3, 0, 3, 3, 3, 3, 0, 3, 2, 1, 2, 2, 0, 0, 3, 0, + 1, 1, 0, 3, 3, 1, 2, 3, 3, 0, 1, 2, 1, 0, 1, 2, 2, 1, 0, 3, + 1, 0, 2, 2, 1, 1, 1, 1, 1, 1, 2, 0, 3, 1, 1, 2, 2, 3, 3, 1, + 3, 2, 0, 0, 0, 3, 3, 3, 2, 1, 2, 3, 1, 0, 0, 0, 0, 1, 2, 2, + 1, 1, 3, 3, 3, 1, 1, 2, 3, 1, 3, 3, 2, 3, 2, 1, 2, 3, 0, 2, + 2, 1, 1, 0, 0, 0, 0, 0, 1, 3, 3, 1, 1, 1, 2, 2, 3, 2, 1, 1, + 1, 1, 3, 0, 2, 2, 1, 3, 2, 1, 2, 2, 1, 3, 1, 3, 1, 3, 2, 3, + 1, 2, 1, 3, 2, 2, 0, 1, 0, 0, 1, 2, 3, 3, 1, 0, 0, 0, 3, 1, + 2, 3, 2, 3, 2, 0, 0, 0, 0, 0, 3, 1, 3, 0, 0, 0, 3, 1, 1, 1, + 1, 2, 1, 2, 3, 2, 0, 0, 2, 2, 3, 0, 3, 0, 0, 3, 0, 3, 1, 3, + 3, 1, 1, 1, 2, 2, 1, 3, 0, 3, 3, 1, 0, 0, 3, 2, 1, 3, 3, 3, + 1, 0, 1, 1, 2, 1, 0, 1, 1, 2, 2, 3, 1, 2, 2, 2, 0, 1, 3, 3, + 3, 2, 2, 1, 0, 1, 2, 0, 1, 1, 1, 1, 2, 3, 2, 2, 3, 3, 0, 0, + 2, 0, 0, 0, 3, 0, 1, 0, 3, 0, 0, 0, 3, 0, 0, 2, 0, 2, 0, 0, + 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 0, 2, 0, 0, 3, 3, 2, 3, 3, 0, + 1, 0, 2, 2, 0, 3, 3, 1, 1, 0, 2, 3, 2, 1, 1, 0, 1, 2, 1, 2, + 2, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 3, 3, 2, 0, 0, 1, 3, 0, 3, + 3, 0, 0, 0, 0, 3, 3, 1, 0, 0, 3, 3, 2, 1, 2, 1, 3, 3, 0, 1, + 3, 0, 2, 3, 1, 3, 3, 3, 3, 3, 0, 1, 1, 3, 0, 2, 2, 3, 1, 2, + 2, 2, 1, 3, 3, 0, 3, 0, 0, 2, 0, 2, 3, 0, 1, 3, 2, 2, 0, 0, + 2, 3, 0, 2, 2, 2, 3, 1, 0, 3, 3, 3, 3, 1, 0, 3, 3, 2, 0, 3, + 2, 0, 3, 0, 2, 0, 0, 2, 2, 1, 0, 2, 3, 1, 1, 1, 1, 2, 3, 3, + 3, 0, 0, 3, 3, 3, 2, 3, 3, 1, 2, 2, 3, 1, 2, 1, 1, 3, 0, 1, + 2, 0, 2, 0, 0, 1, 3, 2, 0, 1, 3, 2, 3, 3, 0, 0, 0, 1, 0, 3, + 3, 2, 2, 2, 1, 1, 2, 2, 1, 3, 2, 0, 1, 3, 2, 0, 2, 1, 3, 0, + 0, 0, 1, 3, 3, 2, 2, 2, 3, 1, 0, 0, 1, 1, 2, 1, 3, 1, 1, 2, + 2, 3, 2, 3, 0, 2, 3, 3, 0, 3, 0, 0, 1, 0, 0, 0, 1, 3, 1, 1, + 2, 3, 2, 1, 1, 2, 2, 2, 3, 0, 1, 1, 2, 1, 2, 0, 2, 3, 1, 3, + 0, 1, 1, 3, 0, 2, 3, 0, 1, 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 2, + 3, 0, 1, 1, 1, 1, 2, 0, 1, 2, 0, 1, 1, 1, 0, 1, 3, 2, 3, 1, + 0, 2, 1, 2, 1, 3, 3, 1, 0, 2, 2, 3, 1, 3, 1, 3, 0, 1, 0, 3, + 0, 3, 2, 0, 3, 3, 3, 0, 3, 2, 2, 2, 1, 3, 0, 0, 1, 1, 3, 0, + 1, 2, 1, 0, 0, 0, 3, 2, 2, 0, 0, 2, 1, 3, 0, 0, 3, 0, 0, 2, + 1, 1, 2, 2, 1, 3, 2, 2, 1, 1, 2, 1, 3, 2, 1, 1, 3, 0, 1, 3, + 3, 2, 2, 1, 0, 3, 2, 2, 2, 3, 0, 1, 3, 3, 2, 3, 0, 3, 2, 3, + 1, 1, 0, 0, 0, 2, 3, 0, 3, 0, 1, 1, 3, 1, 3, 2, 1, 1, 2, 1, + 3, 2, 0, 2, 1, 0, 2, 3, 2, 3, 2, 1, 2, 3, 0, 0, 1, 1, 0, 0, + 2, 1, 0, 1, 2, 2, 2, 2, 0, 3, 3, 1, 0, 0, 0, 0, 3, 1, 1, 0, + 0, 0, 0, 1, 2, 2, 1, 3, 0, 2, 3, 2, 3, 2, 2, 1, 2, 2, 3, 3, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 2, 2, 3, 1, 1, 1, 0, 0, 0, 3, 0, + 1, 0, 3, 1, 1, 3, 0, 1, 2, 2, 0, 0, 3, 3, 3, 3, 2, 1, 0, 0, + 1, 0, 2, 0, 1, 1, 0, 0, 3, 3, 2, 1, 1, 1, 0, 1, 1, 2, 2, 1, + 1, 2, 0, 3, 1, 3, 1, 0, 3, 0, 3, 1, 1, 1, 0, 2, 0, 3, 1, 0, + 1, 0, 2, 0, 2, 3, 3, 3, 1, 2, 3, 2, 2, 0, 1, 1, 0, 3, 3, 1, + 3, 3, 2, 0, 2, 0, 2, 2, 3, 3, 3, 0, 2, 3, 3, 1, 3, 2, 2, 2, + 0, 2, 3, 0, 2, 0, 3, 2, 2, 1, 1, 0, 2, 2, 2, 0, 2, 2, 0, 1, + 3, 2, 1, 3, 2, 2, 0, 3, 3, 1, 2, 2, 0, 0, 3, 2, 1, 2, 2, 1, + 3, 1, 2, 0, 0, 1, 1, 2, 1, 3, 2, 2, 3, 0, 2, 1, 3, 2, 1, 3, + 2, 3, 3, 1, 2, 1, 2, 2, 0, 0, 0, 3, 0, 2, 3, 1, 0, 0, 2, 3, + 3, 2, 2, 1 +}; + +static data_t input2_data[ARRAY_SIZE] = +{ + 1, 1, 0, 3, 1, 2, 0, 0, 0, 0, 0, 2, 1, 2, 3, 0, 0, 3, 3, 2, + 2, 1, 2, 3, 3, 0, 2, 2, 1, 1, 2, 2, 0, 2, 2, 1, 2, 3, 2, 2, + 3, 3, 2, 2, 1, 1, 1, 1, 2, 1, 2, 2, 3, 3, 3, 0, 0, 3, 2, 3, + 2, 3, 1, 2, 1, 1, 2, 2, 0, 1, 0, 3, 2, 1, 1, 1, 2, 0, 1, 2, + 2, 0, 2, 1, 3, 3, 2, 3, 2, 0, 3, 1, 3, 3, 2, 0, 1, 0, 1, 1, + 2, 2, 1, 1, 2, 2, 1, 2, 3, 3, 1, 3, 2, 2, 2, 3, 3, 1, 0, 2, + 1, 0, 0, 0, 1, 1, 2, 0, 3, 2, 3, 3, 0, 2, 3, 1, 0, 0, 2, 1, + 2, 0, 2, 1, 1, 2, 3, 1, 3, 2, 1, 0, 0, 0, 0, 0, 2, 2, 0, 2, + 1, 2, 0, 3, 2, 2, 0, 0, 3, 2, 1, 1, 3, 0, 2, 0, 0, 1, 0, 2, + 3, 3, 1, 3, 3, 0, 0, 2, 2, 0, 0, 0, 1, 0, 0, 1, 3, 0, 2, 1, + 3, 2, 2, 1, 3, 2, 0, 1, 2, 2, 3, 2, 1, 1, 1, 1, 3, 0, 1, 3, + 2, 2, 3, 1, 1, 2, 0, 2, 1, 1, 2, 3, 1, 0, 1, 0, 1, 1, 0, 0, + 2, 0, 3, 0, 3, 0, 3, 2, 2, 3, 3, 2, 1, 0, 2, 2, 1, 1, 0, 3, + 3, 2, 2, 0, 0, 3, 0, 1, 0, 0, 1, 2, 0, 1, 3, 0, 1, 2, 2, 0, + 0, 3, 0, 3, 0, 1, 1, 2, 0, 0, 0, 3, 0, 0, 2, 1, 1, 1, 0, 2, + 1, 3, 1, 2, 0, 3, 0, 3, 1, 3, 0, 0, 2, 2, 2, 2, 3, 3, 2, 1, + 2, 2, 1, 1, 2, 2, 2, 2, 0, 3, 0, 0, 2, 0, 1, 2, 0, 3, 2, 3, + 2, 0, 2, 1, 2, 1, 0, 2, 1, 1, 3, 2, 2, 3, 1, 0, 3, 3, 1, 0, + 3, 2, 2, 0, 0, 3, 0, 0, 2, 0, 3, 2, 3, 1, 1, 0, 0, 2, 3, 0, + 0, 1, 1, 1, 2, 1, 3, 2, 1, 3, 0, 1, 3, 3, 1, 1, 1, 1, 1, 1, + 0, 0, 2, 3, 2, 2, 2, 3, 2, 3, 1, 2, 3, 2, 2, 2, 0, 1, 3, 0, + 1, 1, 0, 1, 0, 1, 1, 3, 3, 1, 2, 2, 3, 2, 0, 2, 2, 0, 1, 3, + 0, 1, 3, 2, 1, 3, 3, 2, 0, 1, 3, 2, 0, 2, 1, 1, 0, 3, 0, 1, + 1, 1, 1, 1, 3, 0, 0, 1, 0, 2, 3, 1, 3, 0, 2, 1, 3, 0, 3, 0, + 3, 2, 2, 0, 0, 2, 1, 3, 3, 2, 3, 2, 2, 1, 2, 2, 3, 0, 3, 2, + 2, 0, 3, 2, 3, 2, 0, 0, 1, 2, 0, 0, 2, 0, 0, 3, 3, 2, 0, 0, + 3, 3, 0, 2, 3, 1, 0, 1, 0, 2, 1, 0, 2, 1, 0, 1, 0, 3, 0, 2, + 2, 3, 0, 0, 2, 1, 0, 1, 0, 0, 0, 2, 2, 3, 2, 0, 3, 3, 2, 1, + 0, 0, 3, 1, 2, 3, 3, 1, 0, 3, 1, 1, 0, 3, 3, 3, 2, 2, 2, 0, + 1, 2, 0, 3, 0, 1, 0, 1, 1, 0, 1, 2, 0, 3, 2, 0, 1, 2, 2, 0, + 2, 0, 0, 1, 0, 3, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 1, 1, 1, 0, + 2, 1, 1, 3, 2, 0, 2, 1, 1, 0, 2, 2, 1, 3, 0, 2, 1, 0, 1, 2, + 0, 1, 3, 2, 3, 2, 1, 0, 2, 0, 2, 2, 3, 1, 1, 3, 2, 3, 2, 2, + 0, 2, 0, 0, 0, 3, 2, 0, 2, 2, 3, 3, 3, 2, 1, 2, 0, 0, 3, 0, + 2, 0, 3, 2, 2, 3, 0, 3, 2, 1, 2, 2, 1, 2, 0, 0, 3, 1, 2, 0, + 2, 3, 2, 2, 1, 1, 1, 3, 3, 3, 3, 3, 1, 3, 0, 1, 3, 2, 2, 1, + 0, 1, 1, 2, 1, 2, 3, 1, 2, 2, 1, 2, 1, 1, 0, 3, 3, 1, 1, 3, + 2, 0, 0, 1, 2, 0, 1, 3, 1, 0, 0, 2, 2, 3, 3, 0, 2, 3, 2, 1, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 3, 3, 3, 1, 3, 0, 3, 1, 1, 2, 2, + 2, 1, 0, 3, 2, 3, 0, 2, 3, 2, 3, 1, 2, 3, 3, 1, 2, 1, 0, 0, + 0, 3, 3, 3, 3, 0, 3, 3, 3, 3, 2, 1, 0, 3, 0, 3, 2, 3, 1, 0, + 0, 1, 3, 1, 0, 2, 2, 3, 1, 0, 2, 1, 1, 3, 1, 1, 3, 1, 2, 1, + 0, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 3, 3, 1, 0, 3, 1, 1, 2, 0, + 0, 0, 2, 3, 3, 2, 2, 3, 0, 2, 3, 1, 3, 3, 0, 2, 1, 2, 2, 2, + 1, 0, 1, 3, 2, 3, 1, 1, 2, 1, 1, 0, 0, 2, 3, 2, 1, 0, 3, 1, + 3, 0, 1, 1, 2, 2, 1, 3, 3, 1, 1, 0, 0, 3, 3, 0, 0, 0, 0, 0, + 3, 1, 3, 0, 0, 0, 3, 3, 2, 1, 3, 0, 1, 3, 1, 1, 1, 0, 1, 0, + 1, 2, 2, 2, 3, 3, 0, 2, 3, 2, 1, 3, 3, 1, 1, 3, 0, 3, 3, 2, + 1, 1, 2, 0, 3, 0, 1, 2, 1, 1, 0, 0, 1, 2, 2, 0, 3, 1, 1, 1, + 3, 3, 3, 1, 0, 3, 3, 2, 2, 2, 1, 2, 0, 1, 1, 3, 0, 3, 1, 0, + 2, 2, 0, 1, 2, 3, 2, 1, 2, 0, 3, 2, 1, 3, 0, 1, 2, 0, 3, 0, + 1, 1, 2, 1 +}; + +static data_t verify_data[ARRAY_SIZE] = +{ + 72, 75, 88, 101, 80, 88, 73, 75, 80, 81, 58, 75, 86, 65, 60, 80, 84, 83, 87, 83, + 108, 93, 85, 76, 72, 98, 79, 86, 80, 96, 91, 85, 72, 64, 70, 83, 68, 92, 51, 54, + 85, 85, 60, 58, 90, 64, 55, 69, 72, 48, 94, 77, 91, 83, 70, 69, 67, 77, 59, 50, + 67, 74, 77, 67, 67, 62, 72, 71, 68, 79, 54, 61, 67, 61, 55, 62, 78, 60, 53, 64, + 67, 69, 99, 68, 88, 60, 66, 63, 70, 62, 65, 50, 53, 66, 70, 72, 75, 78, 85, 95, + 71, 89, 70, 68, 86, 88, 58, 77, 84, 70, 65, 68, 73, 75, 91, 96, 105, 92, 76, 68, + 86, 69, 80, 59, 73, 83, 88, 75, 64, 63, 71, 99, 77, 77, 69, 55, 80, 73, 54, 73, + 87, 78, 60, 69, 65, 78, 86, 89, 95, 92, 63, 69, 89, 61, 80, 65, 70, 77, 89, 77, + 79, 79, 73, 92, 64, 81, 60, 78, 81, 80, 61, 63, 89, 65, 56, 83, 77, 65, 102, 70, + 98, 86, 96, 68, 72, 89, 73, 73, 70, 89, 84, 76, 48, 61, 63, 70, 70, 79, 50, 53, + 64, 63, 43, 51, 59, 62, 43, 63, 55, 77, 79, 74, 75, 74, 64, 44, 65, 69, 72, 66, + 54, 71, 74, 72, 69, 76, 68, 89, 94, 75, 65, 53, 85, 79, 65, 74, 82, 73, 58, 70, + 84, 77, 99, 72, 92, 84, 78, 62, 59, 83, 71, 74, 63, 85, 80, 78, 71, 72, 79, 83, + 73, 82, 60, 85, 76, 82, 60, 70, 82, 68, 54, 85, 84, 70, 86, 74, 100, 88, 98, 68, + 67, 87, 69, 73, 68, 88, 76, 71, 47, 43, 47, 80, 54, 65, 40, 37, 59, 53, 33, 48, + 62, 40, 36, 55, 36, 62, 53, 57, 70, 69, 45, 43, 53, 61, 42, 57, 56, 63, 51, 47, + 59, 75, 64, 89, 83, 75, 59, 75, 91, 92, 58, 64, 83, 74, 58, 60, 76, 66, 97, 69, + 90, 95, 92, 64, 78, 75, 77, 73, 65, 78, 82, 75, 47, 54, 59, 71, 59, 56, 53, 42, + 60, 55, 40, 51, 60, 46, 36, 59, 46, 57, 67, 43, 51, 53, 53, 38, 54, 56, 55, 48, + 41, 46, 63, 63, 80, 77, 89, 102, 89, 98, 74, 86, 98, 93, 63, 76, 98, 77, 48, 101, + 86, 88, 100, 82, 102, 90, 95, 75, 86, 103, 83, 98, 80, 104, 98, 86, 71, 74, 80, 90, + 86, 87, 73, 70, 81, 83, 55, 66, 90, 66, 58, 84, 77, 84, 93, 72, 99, 75, 85, 65, + 70, 89, 71, 82, 64, 79, 82, 80, 67, 73, 86, 101, 78, 97, 66, 64, 84, 80, 55, 64, + 79, 73, 51, 79, 89, 68, 94, 77, 109, 102, 82, 61, 66, 93, 88, 70, 82, 82, 85, 69, + 69, 72, 66, 97, 85, 90, 70, 59, 76, 89, 53, 56, 90, 79, 71, 64, 70, 67, 100, 92, + 106, 89, 83, 78, 73, 80, 70, 72, 65, 70, 92, 88, 57, 76, 55, 85, 66, 80, 61, 63, + 63, 78, 54, 58, 71, 73, 54, 63, 63, 62, 89, 76, 86, 81, 83, 54, 70, 81, 78, 64, + 56, 72, 74, 81, 75, 63, 68, 89, 65, 77, 58, 68, 75, 83, 52, 62, 82, 63, 55, 75, + 51, 70, 95, 66, 83, 77, 86, 61, 64, 77, 48, 70, 66, 82, 72, 75, 79, 71, 72, 89, + 78, 78, 66, 59, 91, 80, 55, 64, 79, 68, 54, 71, 67, 75, 87, 84, 100, 101, 76, 58, + 74, 82, 61, 74, 75, 97, 85, 79, 61, 55, 69, 68, 72, 65, 52, 64, 80, 73, 48, 54, + 71, 66, 42, 61, 66, 63, 92, 64, 85, 77, 73, 54, 74, 73, 76, 66, 62, 79, 85, 70, + 71, 84, 87, 81, 88, 86, 77, 77, 93, 88, 78, 71, 101, 89, 58, 84, 95, 81, 89, 97, + 104, 79, 83, 76, 90, 81, 91, 74, 70, 76, 91, 80, 51, 48, 56, 69, 47, 63, 54, 42, + 63, 63, 42, 52, 66, 56, 39, 59, 61, 52, 59, 63, 62, 68, 57, 35, 67, 58, 56, 52, + 61, 63, 60, 47, 85, 75, 89, 106, 88, 95, 74, 82, 107, 107, 64, 78, 98, 90, 62, 91, + 79, 87, 111, 84, 104, 106, 96, 68, 94, 99, 81, 89, 79, 105, 95, 86, 65, 63, 77, 89, + 66, 88, 56, 73, 82, 92, 41, 62, 85, 66, 50, 81, 57, 71, 77, 78, 86, 89, 77, 53, + 67, 78, 61, 63, 72, 82, 69, 66, 59, 46, 55, 70, 56, 64, 45, 50, 65, 64, 42, 56, + 78, 49, 51, 52, 38, 56, 72, 55, 73, 72, 61, 50, 63, 60, 47, 57, 55, 73, 53, 68, + 85, 88, 91, 96, 82, 89, 73, 76, 87, 86, 67, 69, 96, 84, 57, 89, 87, 89, 99, 88, + 104, 90, 85, 75, 88, 92, 85, 75, 74, 87, 103, 94, 55, 48, 56, 65, 72, 50, 45, 51, + 63, 62, 47, 57, 79, 53, 36, 63, 54, 68, 71, 59, 63, 61, 63, 41, 50, 73, 57, 59, + 56, 76, 73, 65, 61, 64, 61, 79, 53, 73, 57, 44, 61, 59, 59, 56, 81, 59, 49, 62, + 65, 55, 69, 72, 79, 70, 58, 57, 68, 61, 62, 50, 57, 60, 66, 66, 63, 77, 81, 89, + 85, 81, 76, 73, 78, 95, 59, 70, 81, 77, 46, 79, 78, 79, 83, 81, 84, 82, 85, 48, + 74, 85, 85, 74, 74, 80, 80, 74, 60, 76, 80, 97, 88, 93, 66, 66, 73, 84, 56, 70, + 90, 63, 58, 78, 73, 93, 90, 78, 94, 88, 82, 67, 85, 70, 81, 86, 74, 82, 88, 82, + 68, 73, 75, 91, 78, 97, 71, 66, 74, 85, 50, 59, 86, 77, 70, 74, 75, 74, 99, 82, + 99, 91, 86, 65, 80, 77, 72, 69, 60, 78, 90, 87, 79, 69, 74, 98, 70, 86, 81, 67, + 69, 78, 48, 65, 88, 70, 70, 70, 69, 72, 96, 90, 99, 82, 81, 76, 98, 73, 74, 71, + 69, 73, 94, 89 +}; + diff --git a/mt/az_matmul/matmul_gendata.pl b/mt/az_matmul/matmul_gendata.pl new file mode 100755 index 0000000..f21bb46 --- /dev/null +++ b/mt/az_matmul/matmul_gendata.pl @@ -0,0 +1,200 @@ +#!/usr/bin/perl -w +#========================================================================== +# matmul_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the matmul benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: matmul_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[ARRAY_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3d",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + + + +#-------------------------------------------------------------------------- +# Matmul +#-------------------------------------------------------------------------- + +# http://answers.oreilly.com/topic/418-how-to-multiply-matrices-in-perl/ + +sub mmult { + my ($m1,$m2) = @_; + my ($m1rows,$m1cols) = matdim($m1); + my ($m2rows,$m2cols) = matdim($m2); + + my $result = [ ]; + my ($i, $j, $k); + + for $i (range($m1rows)) { + for $j (range($m2cols)) { + for $k (range($m1cols)) { + $result->[$i][$j] += $m1->[$i][$k] * $m2->[$k][$j]; + } + } + } + return $result; +} + +sub range { 0 .. ($_[0] - 1) } + + +sub veclen { + my $ary_ref = $_[0]; + my $type = ref $ary_ref; + if ($type ne "ARRAY") { die "$type is bad array ref for $ary_ref" } + return scalar(@$ary_ref); +} + +sub matdim { + my $matrix = $_[0]; + my $rows = veclen($matrix); + my $cols = veclen($matrix->[0]); + return ($rows, $cols); +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + # create random input arrays + my $mat_values1; + my $mat_values2; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + $mat_values1->[$i][$j] = int(rand(4)); + $mat_values2->[$i][$j] = int(rand(4)); + } + } + + # perform matmul + my $mat_results = mmult( $mat_values1, $mat_values2 ); + + # translate 2d arrays to 1d-somethings (I don't know how to code in perl - Chris) + my @values1; + my @values2; + my @results; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + my $value1 = $mat_values1->[$i][$j]; + my $value2 = $mat_values2->[$i][$j]; + my $result = $mat_results->[$i][$j]; + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @results, $result ); + } + } + + print "\n\#define ARRAY_SIZE ".($opts{"size"}*$opts{"size"})." \n\n"; + print "\n\#define DIM_SIZE ".$opts{"size"}." \n\n"; + + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@results); + +} + +main(); + diff --git a/mt/az_matmul/matmul_mi.c b/mt/az_matmul/matmul_mi.c new file mode 100755 index 0000000..56f02d3 --- /dev/null +++ b/mt/az_matmul/matmul_mi.c @@ -0,0 +1,416 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + +data_t ffmul(data_t a, data_t b) { + data_t result = 0; + + for (int i=0; i < b; i++) { + result += a; + } + + return result; +} + + +//void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +//{ +// +// // ***************************** // +// // **** ADD YOUR CODE HERE ***** // +// // ***************************** // +// // +// // feel free to make a separate function for MI and MSI versions. +// +// static __thread int i, j, k; +// static __thread int jlda, ilda; +// static __thread data_t tempA1, tempA2, tempA3, tempA4, tempA5, tempA6, tempA7, tempA8; +// static __thread int start, end; +// +// start = coreid*(lda>>1); +// end = (coreid+1)*(lda>>1); +// +// for (j=start; j < end; j+=1) { +// jlda = j * lda; +// for ( i=0; i < lda; i+=1 ) { +// ilda = i*lda; +// tempA1 = A[i + jlda]; +// //tempA2 = A[i+1 + jlda]; +// //tempA3 = A[i+2 + jlda]; +// //tempA4 = A[i+3 + jlda]; +// //tempA5 = A[i+4 + jlda]; +// //tempA6 = A[i+5 + jlda]; +// //tempA7 = A[i+6 + jlda]; +// //tempA8 = A[i+7 + jlda]; +// //tempC1 = C[i + j*lda]; +// //tempC2 = C[i+1 + j*lda]; +// for(k=0; k < lda; k+=1) { +// //C[k + jlda] += tempA1 * B[k + i*lda] + tempA2 * B[k + (i+1)*lda] + tempA3 * B[k + (i+2)*lda] + tempA4 * B[k + (i+3)*lda] + +// // tempA5 * B[k + (i+4)*lda] + tempA6 * B[k + (i+5)*lda] + tempA7 * B[k + (i+6)*lda] + tempA8 * B[k + (i+7)*lda]; +// +// C[k + jlda] += tempA1* B[k + i*lda];// + ffmul(tempA2,B[k + (i+1)*lda]) + tempA3 * B[k + (i+2)*lda] + tempA4 * B[k + (i+3)*lda] + +// // tempA5 * B[k + (i+4)*lda] + tempA6 * B[k + (i+5)*lda] + tempA7 * B[k + (i+6)*lda] + tempA8 * B[k + (i+7)*lda]; +// // +// //C[k+1 + jlda] += tempA1 * B[k+1 + i*lda] + tempA2 * B[k+1 + (i+1)*lda] + tempA3 * B[k+1 + (i+2)*lda] + tempA4 * B[k+1 + (i+3)*lda] + +// // tempA5 * B[k+1 + (i+4)*lda] + tempA6 * B[k+1 + (i+5)*lda] + tempA7 * B[k+1 + (i+6)*lda] + tempA8 * B[k+1 + (i+7)*lda]; +// // +// //C[k+2 + jlda] += tempA1 * B[k+2 + i*lda] + tempA2 * B[k+2 + (i+1)*lda] + tempA3 * B[k+2 + (i+2)*lda] + tempA4 * B[k+2 + (i+3)*lda] + +// // tempA5 * B[k+2 + (i+4)*lda] + tempA6 * B[k+2 + (i+5)*lda] + tempA7 * B[k+2 + (i+6)*lda] + tempA8 * B[k+2 + (i+7)*lda]; +// // +// //C[k+3 + jlda] += tempA1 * B[k+3 + i*lda] + tempA2 * B[k+3 + (i+1)*lda] + tempA3 * B[k+3 + (i+2)*lda] + tempA4 * B[k+3 + (i+3)*lda] + +// // tempA5 * B[k+3 + (i+4)*lda] + tempA6 * B[k+3 + (i+5)*lda] + tempA7 * B[k+3 + (i+6)*lda] + tempA8 * B[k+3 + (i+7)*lda]; +// // +// //C[k+4 + jlda] += tempA1 * B[k+4 + i*lda] + tempA2 * B[k+4 + (i+1)*lda] + tempA3 * B[k+4 + (i+2)*lda] + tempA4 * B[k+4 + (i+3)*lda] + +// // tempA5 * B[k+4 + (i+4)*lda] + tempA6 * B[k+4 + (i+5)*lda] + tempA7 * B[k+4 + (i+6)*lda] + tempA8 * B[k+4 + (i+7)*lda]; +// // +// //C[k+5 + jlda] += tempA1 * B[k+5 + i*lda] + tempA2 * B[k+5 + (i+1)*lda] + tempA3 * B[k+5 + (i+2)*lda] + tempA4 * B[k+5 + (i+3)*lda] + +// // tempA5 * B[k+5 + (i+4)*lda] + tempA6 * B[k+5 + (i+5)*lda] + tempA7 * B[k+5 + (i+6)*lda] + tempA8 * B[k+5 + (i+7)*lda]; +// // +// //C[k+6 + jlda] += tempA1 * B[k+6 + i*lda] + tempA2 * B[k+6 + (i+1)*lda] + tempA3 * B[k+6 + (i+2)*lda] + tempA4 * B[k+6 + (i+3)*lda] + +// // tempA5 * B[k+6 + (i+4)*lda] + tempA6 * B[k+6 + (i+5)*lda] + tempA7 * B[k+6 + (i+6)*lda] + tempA8 * B[k+6 + (i+7)*lda]; +// // +// //C[k+7 + jlda] += tempA1 * B[k+7 + i*lda] + tempA2 * B[k+7 + (i+1)*lda] + tempA3 * B[k+7 + (i+2)*lda] + tempA4 * B[k+7 + (i+3)*lda] + +// // tempA5 * B[k+7 + (i+4)*lda] + tempA6 * B[k+7 + (i+5)*lda] + tempA7 * B[k+7 + (i+6)*lda] + tempA8 * B[k+7 + (i+7)*lda]; +// +// +// } +// } +// } +//} + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + + static __thread int i, j, k; + static __thread data_t tempA0, tempA1, tempA2, tempA3, tempA4, tempA5, tempA6, tempA7; + static __thread data_t tempC0, tempC1, tempC2, tempC3, tempC4, tempC5, tempC6, tempC7; //tempC8, tempC9, tempC10, tempC11, tempC12, tempC13, tempC14, tempC15; + + static __thread int start, end, jStride, jToRow, jToCol, iToRow; + + start = coreid << 9; + end = (coreid+1) << 9; + jStride = 8; + + for (j=start; j < end; j+=jStride) { + jToRow = (j>>5)<<5; + jToCol = j%32; + tempC0 = 0; + tempC1 = 0; + tempC2 = 0; + tempC3 = 0; + tempC4 = 0; + tempC5 = 0; + tempC6 = 0; + tempC7 = 0; + //tempC8 = 0; + //tempC9 = 0; + //tempC10 = 0; + //tempC11 = 0; + //tempC12 = 0; + //tempC13 = 0; + //tempC14 = 0; + //tempC15 = 0; + + for ( i=0; i < lda; i+=2 ) { + iToRow = i << 5; + + tempA0 = A[i + jToRow]; + tempA1 = A[i+1 + jToRow]; + //tempA2 = A[i+2 + jToRow]; + //tempA3 = A[i+3 + jToRow]; + //tempA4 = A[i+4 + jToRow]; + //tempA5 = A[i+5 + jToRow]; + //tempA6 = A[i+6 + jToRow]; + //tempA7 = A[i+7 + jToRow]; + + tempC0 += tempA0 * B[(jToCol ) + (iToRow)]; + tempC1 += tempA0 * B[(jToCol+1 ) + (iToRow)]; + tempC2 += tempA0 * B[(jToCol+2 ) + (iToRow)]; + tempC3 += tempA0 * B[(jToCol+3 ) + (iToRow)]; + tempC4 += tempA0 * B[(jToCol+4 ) + (iToRow)]; + tempC5 += tempA0 * B[(jToCol+5 ) + (iToRow)]; + tempC6 += tempA0 * B[(jToCol+6 ) + (iToRow)]; + tempC7 += tempA0 * B[(jToCol+7 ) + (iToRow)]; + //tempC8 += tempA0 * B[(jToCol+8 ) + (iToRow)]; + //tempC9 += tempA0 * B[(jToCol+9 ) + (iToRow)]; + //tempC10 += tempA0 * B[(jToCol+10) + (iToRow)]; + //tempC11 += tempA0 * B[(jToCol+11) + (iToRow)]; + //tempC12 += tempA0 * B[(jToCol+12) + (iToRow)]; + //tempC13 += tempA0 * B[(jToCol+13) + (iToRow)]; + //tempC14 += tempA0 * B[(jToCol+14) + (iToRow)]; + //tempC15 += tempA0 * B[(jToCol+15) + (iToRow)]; + + iToRow += 32; + tempC0 += tempA1 * B[(jToCol ) + (iToRow)]; + tempC1 += tempA1 * B[(jToCol+1 ) + (iToRow)]; + tempC2 += tempA1 * B[(jToCol+2 ) + (iToRow)]; + tempC3 += tempA1 * B[(jToCol+3 ) + (iToRow)]; + tempC4 += tempA1 * B[(jToCol+4 ) + (iToRow)]; + tempC5 += tempA1 * B[(jToCol+5 ) + (iToRow)]; + tempC6 += tempA1 * B[(jToCol+6 ) + (iToRow)]; + tempC7 += tempA1 * B[(jToCol+7 ) + (iToRow)]; + //tempC8 += tempA1 * B[(jToCol+8 ) + (iToRow+32)]; + //tempC9 += tempA1 * B[(jToCol+9 ) + (iToRow+32)]; + //tempC10 += tempA1 * B[(jToCol+10) + (iToRow+32)]; + //tempC11 += tempA1 * B[(jToCol+11) + (iToRow+32)]; + //tempC12 += tempA1 * B[(jToCol+12) + (iToRow+32)]; + //tempC13 += tempA1 * B[(jToCol+13) + (iToRow+32)]; + //tempC14 += tempA1 * B[(jToCol+14) + (iToRow+32)]; + //tempC15 += tempA1 * B[(jToCol+15) + (iToRow+32)]; + + //iToRow += 32; + //tempC0 += tempA2 * B[(jToCol ) + (iToRow)]; + //tempC1 += tempA2 * B[(jToCol+1 ) + (iToRow)]; + //tempC2 += tempA2 * B[(jToCol+2 ) + (iToRow)]; + //tempC3 += tempA2 * B[(jToCol+3 ) + (iToRow)]; + //tempC4 += tempA2 * B[(jToCol+4 ) + (iToRow)]; + //tempC5 += tempA2 * B[(jToCol+5 ) + (iToRow)]; + //tempC6 += tempA2 * B[(jToCol+6 ) + (iToRow)]; + //tempC7 += tempA2 * B[(jToCol+7 ) + (iToRow)]; + //tempC8 += tempA2 * B[(jToCol+8 ) + (iToRow)]; + //tempC9 += tempA2 * B[(jToCol+9 ) + (iToRow)]; + //tempC10 += tempA2 * B[(jToCol+10) + (iToRow)]; + //tempC11 += tempA2 * B[(jToCol+11) + (iToRow)]; + //tempC12 += tempA2 * B[(jToCol+12) + (iToRow)]; + //tempC13 += tempA2 * B[(jToCol+13) + (iToRow)]; + //tempC14 += tempA2 * B[(jToCol+14) + (iToRow)]; + //tempC15 += tempA2 * B[(jToCol+15) + (iToRow)]; + + //iToRow += 32; + //tempC0 += tempA3 * B[(jToCol ) + (iToRow)]; + //tempC1 += tempA3 * B[(jToCol+1 ) + (iToRow)]; + //tempC2 += tempA3 * B[(jToCol+2 ) + (iToRow)]; + //tempC3 += tempA3 * B[(jToCol+3 ) + (iToRow)]; + //tempC4 += tempA3 * B[(jToCol+4 ) + (iToRow)]; + //tempC5 += tempA3 * B[(jToCol+5 ) + (iToRow)]; + //tempC6 += tempA3 * B[(jToCol+6 ) + (iToRow)]; + //tempC7 += tempA3 * B[(jToCol+7 ) + (iToRow)]; + //tempC8 += tempA3 * B[(jToCol+8 ) + (iToRow)]; + //tempC9 += tempA3 * B[(jToCol+9 ) + (iToRow)]; + //tempC10 += tempA3 * B[(jToCol+10) + (iToRow)]; + //tempC11 += tempA3 * B[(jToCol+11) + (iToRow)]; + //tempC12 += tempA3 * B[(jToCol+12) + (iToRow)]; + //tempC13 += tempA3 * B[(jToCol+13) + (iToRow)]; + //tempC14 += tempA3 * B[(jToCol+14) + (iToRow)]; + //tempC15 += tempA3 * B[(jToCol+15) + (iToRow)]; + + //iToRow += 32; + //tempC0 += tempA4 * B[(jToCol ) + (iToRow)]; + //tempC1 += tempA4 * B[(jToCol+1 ) + (iToRow)]; + //tempC2 += tempA4 * B[(jToCol+2 ) + (iToRow)]; + //tempC3 += tempA4 * B[(jToCol+3 ) + (iToRow)]; + //tempC4 += tempA4 * B[(jToCol+4 ) + (iToRow)]; + //tempC5 += tempA4 * B[(jToCol+5 ) + (iToRow)]; + //tempC6 += tempA4 * B[(jToCol+6 ) + (iToRow)]; + //tempC7 += tempA4 * B[(jToCol+7 ) + (iToRow)]; + // + //iToRow += 32; + //tempC0 += tempA5 * B[(jToCol ) + (iToRow)]; + //tempC1 += tempA5 * B[(jToCol+1 ) + (iToRow)]; + //tempC2 += tempA5 * B[(jToCol+2 ) + (iToRow)]; + //tempC3 += tempA5 * B[(jToCol+3 ) + (iToRow)]; + //tempC4 += tempA5 * B[(jToCol+4 ) + (iToRow)]; + //tempC5 += tempA5 * B[(jToCol+5 ) + (iToRow)]; + //tempC6 += tempA5 * B[(jToCol+6 ) + (iToRow)]; + //tempC7 += tempA5 * B[(jToCol+7 ) + (iToRow)]; + // + //iToRow += 32; + //tempC0 += tempA6 * B[(jToCol ) + (iToRow)]; + //tempC1 += tempA6 * B[(jToCol+1 ) + (iToRow)]; + //tempC2 += tempA6 * B[(jToCol+2 ) + (iToRow)]; + //tempC3 += tempA6 * B[(jToCol+3 ) + (iToRow)]; + //tempC4 += tempA6 * B[(jToCol+4 ) + (iToRow)]; + //tempC5 += tempA6 * B[(jToCol+5 ) + (iToRow)]; + //tempC6 += tempA6 * B[(jToCol+6 ) + (iToRow)]; + //tempC7 += tempA6 * B[(jToCol+7 ) + (iToRow)]; + // + //iToRow += 32; + //tempC0 += tempA7 * B[(jToCol ) + (iToRow)]; + //tempC1 += tempA7 * B[(jToCol+1 ) + (iToRow)]; + //tempC2 += tempA7 * B[(jToCol+2 ) + (iToRow)]; + //tempC3 += tempA7 * B[(jToCol+3 ) + (iToRow)]; + //tempC4 += tempA7 * B[(jToCol+4 ) + (iToRow)]; + //tempC5 += tempA7 * B[(jToCol+5 ) + (iToRow)]; + //tempC6 += tempA7 * B[(jToCol+6 ) + (iToRow)]; + //tempC7 += tempA7 * B[(jToCol+7 ) + (iToRow)]; + + } + C[j ] = tempC0; + C[j + 1 ] = tempC1; + C[j + 2 ] = tempC2; + C[j + 3 ] = tempC3; + C[j + 4 ] = tempC4; + C[j + 5 ] = tempC5; + C[j + 6 ] = tempC6; + C[j + 7 ] = tempC7; + //C[j + 8 ] = tempC8 ; + //C[j + 9 ] = tempC9 ; + //C[j + 10] = tempC10; + //C[j + 11] = tempC11; + //C[j + 12] = tempC12; + //C[j + 13] = tempC13; + //C[j + 14] = tempC14; + //C[j + 15] = tempC15; + } +} + + + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + + //// Execute the provided, naive matmul + //barrier(); + //stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + + // + //// verify + //verify(ARRAY_SIZE, results_data, verify_data); + // + //// clear results from the first trial + //size_t i; + //if (coreid == 0) + // for (i=0; i < ARRAY_SIZE; i++) + // results_data[i] = 0; + //barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/az_vvadd/az_vvadd.c b/mt/az_vvadd/az_vvadd.c new file mode 100755 index 0000000..7b40fb1 --- /dev/null +++ b/mt/az_vvadd/az_vvadd.c @@ -0,0 +1,174 @@ +//************************************************************************** +// Vector-vector add benchmark +//-------------------------------------------------------------------------- +// Author : Andrew Waterman +// TA : Christopher Celio +// Student : +// +// This benchmark adds two vectors and writes the results to a +// third vector. The input data (and reference data) should be +// generated using the vvadd_gendata.pl perl script and dumped +// to a file named dataset.h + +// to print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DATA_SIZE, 10*_c/DATA_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %4ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %4ld, correct[%d]= %4ld\n", + i, (long) test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// vvadd function + +//perform in-place vvadd +void __attribute__((noinline)) vvadd(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + size_t i; + + // interleave accesses + for (i = coreid; i < n; i+=ncores) + { + x[i] = x[i] + y[i]; + } +} + +void __attribute__((noinline)) vvadd_opt(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + + size_t i; + size_t split = n / ncores; + + //interleave accesses + for (i = coreid * split; i < (coreid+1)*split-1 && i < n-1; i+=2) { + x[i] = x[i] + y[i]; + x[i+1] = x[i+1] + y[i+1]; + } +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[DATA_SIZE]; + + // because we're going to perform an in-place vvadd (and we're going to run + // it a couple of times) let's copy the input data to a temporary results + // array + + size_t i; + if (coreid == 0) + { + for (i = 0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + + + // Execute the provided, terrible vvadd + barrier(); + stats(vvadd(DATA_SIZE, results_data, input2_data); barrier()); + + + // verify + verify(DATA_SIZE, results_data, verify_data); + + // reset results from the first trial + if (coreid == 0) + { + for (i=0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + barrier(); + + + // Execute your faster vvadd + barrier(); + stats(vvadd_opt(DATA_SIZE, results_data, input2_data); barrier()); + +#ifdef DEBUG + printArray("results: ", DATA_SIZE, results_data); + printArray("verify : ", DATA_SIZE, verify_data); +#endif + + // verify + verify(DATA_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/az_vvadd/dataset.h b/mt/az_vvadd/dataset.h new file mode 100755 index 0000000..ce9f936 --- /dev/null +++ b/mt/az_vvadd/dataset.h @@ -0,0 +1,165 @@ + +#define DATA_SIZE 1000 + +static data_t input1_data[DATA_SIZE] = +{ + 0.00, 15.00, 10.00, 3.00, 14.00, 6.00, 2.00, 18.00, 11.00, 15.00, 11.00, 0.00, 17.00, 16.00, 7.00, 13.00, 18.00, 2.00, 2.00, 5.00, + 8.00, 5.00, 12.00, 14.00, 6.00, 12.00, 16.00, 7.00, 9.00, 17.00, 10.00, 10.00, 3.00, 5.00, 14.00, 11.00, 9.00, 12.00, 3.00, 1.00, + 5.00, 4.00, 6.00, 17.00, 17.00, 4.00, 17.00, 15.00, 17.00, 18.00, 3.00, 18.00, 10.00, 6.00, 12.00, 12.00, 3.00, 2.00, 16.00, 1.00, + 5.00, 6.00, 2.00, 17.00, 16.00, 5.00, 10.00, 18.00, 14.00, 4.00, 9.00, 9.00, 7.00, 4.00, 8.00, 13.00, 12.00, 6.00, 4.00, 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12.00, 11.00, 17.00, 4.00, 13.00, 7.00, 16.00, 12.00, 7.00, 18.00 +}; + +static data_t input2_data[DATA_SIZE] = +{ + 8.00, 6.00, 0.00, 18.00, 6.00, 10.00, 1.00, 2.00, 4.00, 2.00, 4.00, 10.00, 6.00, 11.00, 17.00, 4.00, 0.00, 16.00, 14.00, 12.00, + 9.00, 8.00, 13.00, 15.00, 18.00, 2.00, 13.00, 10.00, 5.00, 4.00, 12.00, 9.00, 1.00, 13.00, 12.00, 7.00, 10.00, 17.00, 11.00, 10.00, + 18.00, 15.00, 11.00, 12.00, 7.00, 9.00, 6.00, 5.00, 11.00, 7.00, 10.00, 12.00, 18.00, 18.00, 15.00, 1.00, 3.00, 18.00, 11.00, 16.00, + 13.00, 18.00, 4.00, 13.00, 8.00, 7.00, 10.00, 13.00, 0.00, 9.00, 1.00, 16.00, 13.00, 7.00, 5.00, 5.00, 11.00, 1.00, 6.00, 10.00, + 12.00, 3.00, 10.00, 5.00, 15.00, 15.00, 13.00, 14.00, 14.00, 1.00, 18.00, 5.00, 16.00, 14.00, 10.00, 4.00, 8.00, 4.00, 6.00, 6.00, + 13.00, 14.00, 8.00, 5.00, 14.00, 10.00, 9.00, 10.00, 17.00, 15.00, 6.00, 16.00, 12.00, 9.00, 10.00, 16.00, 16.00, 8.00, 1.00, 12.00, + 7.00, 0.00, 0.00, 3.00, 5.00, 7.00, 10.00, 3.00, 17.00, 10.00, 18.00, 16.00, 1.00, 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22.00, 10.00, + 24.00, 2.00, 17.00, 9.00, 22.00, 30.00, 24.00, 33.00, 25.00, 17.00, 23.00, 9.00, 13.00, 15.00, 23.00, 10.00, 1.00, 22.00, 17.00, 10.00, + 32.00, 24.00, 26.00, 4.00, 15.00, 0.00, 27.00, 23.00, 28.00, 23.00, 30.00, 7.00, 16.00, 33.00, 20.00, 14.00, 23.00, 14.00, 20.00, 14.00, + 7.00, 25.00, 24.00, 12.00, 29.00, 16.00, 17.00, 20.00, 29.00, 16.00, 13.00, 18.00, 26.00, 18.00, 18.00, 17.00, 13.00, 29.00, 14.00, 17.00, + 24.00, 16.00, 21.00, 14.00, 26.00, 9.00, 11.00, 28.00, 25.00, 15.00, 15.00, 12.00, 6.00, 14.00, 27.00, 14.00, 24.00, 18.00, 18.00, 14.00, + 32.00, 21.00, 26.00, 13.00, 6.00, 24.00, 22.00, 27.00, 17.00, 26.00, 19.00, 21.00, 19.00, 9.00, 21.00, 25.00, 17.00, 27.00, 15.00, 18.00 +}; + diff --git a/mt/az_vvadd/vvadd_gendata.pl b/mt/az_vvadd/vvadd_gendata.pl new file mode 100755 index 0000000..a9fceac --- /dev/null +++ b/mt/az_vvadd/vvadd_gendata.pl @@ -0,0 +1,139 @@ +#!/usr/bin/perl -w +#========================================================================== +# vvadd_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the vvadd benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: vvadd_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[DATA_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3.2f",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + my @values1; + my @values2; + my @sum; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + my $value1 = int(rand(19)); + my $value2 = int(rand(19)); + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @sum, $value1 + $value2 ); + } + + + print "\n\#define DATA_SIZE ".$opts{"size"}." \n\n"; + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@sum ); + +} + +main(); + diff --git a/mt/ba_matmul/ba_matmul.c b/mt/ba_matmul/ba_matmul.c new file mode 100755 index 0000000..da9a764 --- /dev/null +++ b/mt/ba_matmul/ba_matmul.c @@ -0,0 +1,271 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ +/* + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } +*/ +} + + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + size_t c_start = lda / ncores * coreid; + size_t c_row; + size_t c_col; + size_t colSplit = 0; + size_t i; + size_t useSplit = 0; + data_t a1; + data_t a2; + data_t a3; + data_t a4; + data_t a5; + data_t a6; + data_t a7; + data_t a8; + data_t c1; + data_t c2; + data_t c3; + data_t c4; + data_t c5; + data_t c6; + data_t c7; + data_t c8; + size_t block; + for (block = 0; block < 2; block++) { + for (colSplit = 0; colSplit < 4; colSplit++) { + useSplit = (coreid == 0) ? colSplit : (colSplit + 2 ) % 4; + for (c_row = c_start + block * 8; c_row < c_start + block * 8 + 8; c_row += 2) { + for (c_col = 0; c_col < lda; c_col+=4) { + c1 = C[c_row*lda+c_col]; + c2 = C[(c_row+1)*lda+c_col]; + c3 = C[c_row*lda+c_col+1]; + c4 = C[(c_row+1)*lda+c_col+1]; + c5 = C[c_row*lda+c_col+2]; + c6 = C[(c_row+1)*lda+c_col+2]; + c7 = C[c_row*lda+c_col+3]; + c8 = C[(c_row+1)*lda+c_col+3]; + for (i = useSplit * lda / 4; i < (useSplit + 1) * lda / 4; i+=4) { + a1 = A[c_row*lda+i]; + a2 = A[(c_row+1)*lda+i]; + a3 = A[c_row*lda+i+1]; + a4 = A[(c_row+1)*lda+i+1]; + a5 = A[c_row*lda+i+2]; + a6 = A[(c_row+1)*lda+i+2]; + a7 = A[c_row*lda+i+3]; + a8 = A[(c_row+1)*lda+i+3]; + + c1 += a1 * B[i*lda+c_col]; + c2 += a2 * B[i*lda+c_col]; + + c1 += a3 * B[(i+1)*lda+c_col]; + c2 += a4 * B[(i+1)*lda+c_col]; + + c1 += a5 * B[(i+2)*lda+c_col]; + c2 += a6 * B[(i+2)*lda+c_col]; + + c1 += a7 * B[(i+3)*lda+c_col]; + c2 += a8 * B[(i+3)*lda+c_col]; + + c3 += a1 * B[i*lda+c_col+1]; + c4 += a2 * B[i*lda+c_col+1]; + + c3 += a3 * B[(i+1)*lda+c_col+1]; + c4 += a4 * B[(i+1)*lda+c_col+1]; + + c3 += a5 * B[(i+2)*lda+c_col+1]; + c4 += a6 * B[(i+2)*lda+c_col+1]; + + c3 += a7 * B[(i+3)*lda+c_col+1]; + c4 += a8 * B[(i+3)*lda+c_col+1]; + + c5 += a1 * B[i*lda+c_col+2]; + c6 += a2 * B[i*lda+c_col+2]; + + c5 += a3 * B[(i+1)*lda+c_col+2]; + c6 += a4 * B[(i+1)*lda+c_col+2]; + + c5 += a5 * B[(i+2)*lda+c_col+2]; + c6 += a6 * B[(i+2)*lda+c_col+2]; + + c5 += a7 * B[(i+3)*lda+c_col+2]; + c6 += a8 * B[(i+3)*lda+c_col+2]; + + c7 += a1 * B[i*lda+c_col+3]; + c8 += a2 * B[i*lda+c_col+3]; + + c7 += a3 * B[(i+1)*lda+c_col+3]; + c8 += a4 * B[(i+1)*lda+c_col+3]; + + c7 += a5 * B[(i+2)*lda+c_col+3]; + c8 += a6 * B[(i+2)*lda+c_col+3]; + + c7 += a7 * B[(i+3)*lda+c_col+3]; + c8 += a8 * B[(i+3)*lda+c_col+3]; + } + + C[c_row*lda+c_col] = c1; + C[(c_row+1)*lda+c_col] = c2; + + C[c_row*lda+c_col+1] = c3; + C[(c_row+1)*lda+c_col+1] = c4; + + C[c_row*lda+c_col+2] = c5; + C[(c_row+1)*lda+c_col+2] = c6; + + C[c_row*lda+c_col+3] = c7; + C[(c_row+1)*lda+c_col+3] = c8; + } + } + } + } +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + + // Execute the provided, naive matmul +// barrier(); +// stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + + + // verify +// verify(ARRAY_SIZE, results_data, verify_data); + + // clear results from the first trial +// size_t i; +// if (coreid == 0) +// for (i=0; i < ARRAY_SIZE; i++) +// results_data[i] = 0; +// barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/ba_matmul/dataset.h b/mt/ba_matmul/dataset.h new file mode 100755 index 0000000..dde3ee4 --- /dev/null +++ b/mt/ba_matmul/dataset.h @@ -0,0 +1,174 @@ + +#define ARRAY_SIZE 1024 + + +#define DIM_SIZE 32 + +static data_t input1_data[ARRAY_SIZE] = +{ + 0, 3, 2, 0, 3, 1, 0, 3, 2, 3, 2, 0, 3, 3, 1, 2, 3, 0, 0, 1, + 1, 1, 2, 3, 1, 2, 3, 1, 1, 3, 2, 2, 0, 1, 3, 2, 2, 2, 0, 0, + 1, 0, 1, 3, 3, 0, 3, 3, 3, 3, 0, 3, 2, 1, 2, 2, 0, 0, 3, 0, + 1, 1, 0, 3, 3, 1, 2, 3, 3, 0, 1, 2, 1, 0, 1, 2, 2, 1, 0, 3, + 1, 0, 2, 2, 1, 1, 1, 1, 1, 1, 2, 0, 3, 1, 1, 2, 2, 3, 3, 1, + 3, 2, 0, 0, 0, 3, 3, 3, 2, 1, 2, 3, 1, 0, 0, 0, 0, 1, 2, 2, + 1, 1, 3, 3, 3, 1, 1, 2, 3, 1, 3, 3, 2, 3, 2, 1, 2, 3, 0, 2, + 2, 1, 1, 0, 0, 0, 0, 0, 1, 3, 3, 1, 1, 1, 2, 2, 3, 2, 1, 1, + 1, 1, 3, 0, 2, 2, 1, 3, 2, 1, 2, 2, 1, 3, 1, 3, 1, 3, 2, 3, + 1, 2, 1, 3, 2, 2, 0, 1, 0, 0, 1, 2, 3, 3, 1, 0, 0, 0, 3, 1, + 2, 3, 2, 3, 2, 0, 0, 0, 0, 0, 3, 1, 3, 0, 0, 0, 3, 1, 1, 1, + 1, 2, 1, 2, 3, 2, 0, 0, 2, 2, 3, 0, 3, 0, 0, 3, 0, 3, 1, 3, + 3, 1, 1, 1, 2, 2, 1, 3, 0, 3, 3, 1, 0, 0, 3, 2, 1, 3, 3, 3, + 1, 0, 1, 1, 2, 1, 0, 1, 1, 2, 2, 3, 1, 2, 2, 2, 0, 1, 3, 3, + 3, 2, 2, 1, 0, 1, 2, 0, 1, 1, 1, 1, 2, 3, 2, 2, 3, 3, 0, 0, + 2, 0, 0, 0, 3, 0, 1, 0, 3, 0, 0, 0, 3, 0, 0, 2, 0, 2, 0, 0, + 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 0, 2, 0, 0, 3, 3, 2, 3, 3, 0, + 1, 0, 2, 2, 0, 3, 3, 1, 1, 0, 2, 3, 2, 1, 1, 0, 1, 2, 1, 2, + 2, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 3, 3, 2, 0, 0, 1, 3, 0, 3, + 3, 0, 0, 0, 0, 3, 3, 1, 0, 0, 3, 3, 2, 1, 2, 1, 3, 3, 0, 1, + 3, 0, 2, 3, 1, 3, 3, 3, 3, 3, 0, 1, 1, 3, 0, 2, 2, 3, 1, 2, + 2, 2, 1, 3, 3, 0, 3, 0, 0, 2, 0, 2, 3, 0, 1, 3, 2, 2, 0, 0, + 2, 3, 0, 2, 2, 2, 3, 1, 0, 3, 3, 3, 3, 1, 0, 3, 3, 2, 0, 3, + 2, 0, 3, 0, 2, 0, 0, 2, 2, 1, 0, 2, 3, 1, 1, 1, 1, 2, 3, 3, + 3, 0, 0, 3, 3, 3, 2, 3, 3, 1, 2, 2, 3, 1, 2, 1, 1, 3, 0, 1, + 2, 0, 2, 0, 0, 1, 3, 2, 0, 1, 3, 2, 3, 3, 0, 0, 0, 1, 0, 3, + 3, 2, 2, 2, 1, 1, 2, 2, 1, 3, 2, 0, 1, 3, 2, 0, 2, 1, 3, 0, + 0, 0, 1, 3, 3, 2, 2, 2, 3, 1, 0, 0, 1, 1, 2, 1, 3, 1, 1, 2, + 2, 3, 2, 3, 0, 2, 3, 3, 0, 3, 0, 0, 1, 0, 0, 0, 1, 3, 1, 1, + 2, 3, 2, 1, 1, 2, 2, 2, 3, 0, 1, 1, 2, 1, 2, 0, 2, 3, 1, 3, + 0, 1, 1, 3, 0, 2, 3, 0, 1, 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 2, + 3, 0, 1, 1, 1, 1, 2, 0, 1, 2, 0, 1, 1, 1, 0, 1, 3, 2, 3, 1, + 0, 2, 1, 2, 1, 3, 3, 1, 0, 2, 2, 3, 1, 3, 1, 3, 0, 1, 0, 3, + 0, 3, 2, 0, 3, 3, 3, 0, 3, 2, 2, 2, 1, 3, 0, 0, 1, 1, 3, 0, + 1, 2, 1, 0, 0, 0, 3, 2, 2, 0, 0, 2, 1, 3, 0, 0, 3, 0, 0, 2, + 1, 1, 2, 2, 1, 3, 2, 2, 1, 1, 2, 1, 3, 2, 1, 1, 3, 0, 1, 3, + 3, 2, 2, 1, 0, 3, 2, 2, 2, 3, 0, 1, 3, 3, 2, 3, 0, 3, 2, 3, + 1, 1, 0, 0, 0, 2, 3, 0, 3, 0, 1, 1, 3, 1, 3, 2, 1, 1, 2, 1, + 3, 2, 0, 2, 1, 0, 2, 3, 2, 3, 2, 1, 2, 3, 0, 0, 1, 1, 0, 0, + 2, 1, 0, 1, 2, 2, 2, 2, 0, 3, 3, 1, 0, 0, 0, 0, 3, 1, 1, 0, + 0, 0, 0, 1, 2, 2, 1, 3, 0, 2, 3, 2, 3, 2, 2, 1, 2, 2, 3, 3, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 2, 2, 3, 1, 1, 1, 0, 0, 0, 3, 0, + 1, 0, 3, 1, 1, 3, 0, 1, 2, 2, 0, 0, 3, 3, 3, 3, 2, 1, 0, 0, + 1, 0, 2, 0, 1, 1, 0, 0, 3, 3, 2, 1, 1, 1, 0, 1, 1, 2, 2, 1, + 1, 2, 0, 3, 1, 3, 1, 0, 3, 0, 3, 1, 1, 1, 0, 2, 0, 3, 1, 0, + 1, 0, 2, 0, 2, 3, 3, 3, 1, 2, 3, 2, 2, 0, 1, 1, 0, 3, 3, 1, + 3, 3, 2, 0, 2, 0, 2, 2, 3, 3, 3, 0, 2, 3, 3, 1, 3, 2, 2, 2, + 0, 2, 3, 0, 2, 0, 3, 2, 2, 1, 1, 0, 2, 2, 2, 0, 2, 2, 0, 1, + 3, 2, 1, 3, 2, 2, 0, 3, 3, 1, 2, 2, 0, 0, 3, 2, 1, 2, 2, 1, + 3, 1, 2, 0, 0, 1, 1, 2, 1, 3, 2, 2, 3, 0, 2, 1, 3, 2, 1, 3, + 2, 3, 3, 1, 2, 1, 2, 2, 0, 0, 0, 3, 0, 2, 3, 1, 0, 0, 2, 3, + 3, 2, 2, 1 +}; + +static data_t input2_data[ARRAY_SIZE] = +{ + 1, 1, 0, 3, 1, 2, 0, 0, 0, 0, 0, 2, 1, 2, 3, 0, 0, 3, 3, 2, + 2, 1, 2, 3, 3, 0, 2, 2, 1, 1, 2, 2, 0, 2, 2, 1, 2, 3, 2, 2, + 3, 3, 2, 2, 1, 1, 1, 1, 2, 1, 2, 2, 3, 3, 3, 0, 0, 3, 2, 3, + 2, 3, 1, 2, 1, 1, 2, 2, 0, 1, 0, 3, 2, 1, 1, 1, 2, 0, 1, 2, + 2, 0, 2, 1, 3, 3, 2, 3, 2, 0, 3, 1, 3, 3, 2, 0, 1, 0, 1, 1, + 2, 2, 1, 1, 2, 2, 1, 2, 3, 3, 1, 3, 2, 2, 2, 3, 3, 1, 0, 2, + 1, 0, 0, 0, 1, 1, 2, 0, 3, 2, 3, 3, 0, 2, 3, 1, 0, 0, 2, 1, + 2, 0, 2, 1, 1, 2, 3, 1, 3, 2, 1, 0, 0, 0, 0, 0, 2, 2, 0, 2, + 1, 2, 0, 3, 2, 2, 0, 0, 3, 2, 1, 1, 3, 0, 2, 0, 0, 1, 0, 2, + 3, 3, 1, 3, 3, 0, 0, 2, 2, 0, 0, 0, 1, 0, 0, 1, 3, 0, 2, 1, + 3, 2, 2, 1, 3, 2, 0, 1, 2, 2, 3, 2, 1, 1, 1, 1, 3, 0, 1, 3, + 2, 2, 3, 1, 1, 2, 0, 2, 1, 1, 2, 3, 1, 0, 1, 0, 1, 1, 0, 0, + 2, 0, 3, 0, 3, 0, 3, 2, 2, 3, 3, 2, 1, 0, 2, 2, 1, 1, 0, 3, + 3, 2, 2, 0, 0, 3, 0, 1, 0, 0, 1, 2, 0, 1, 3, 0, 1, 2, 2, 0, + 0, 3, 0, 3, 0, 1, 1, 2, 0, 0, 0, 3, 0, 0, 2, 1, 1, 1, 0, 2, + 1, 3, 1, 2, 0, 3, 0, 3, 1, 3, 0, 0, 2, 2, 2, 2, 3, 3, 2, 1, + 2, 2, 1, 1, 2, 2, 2, 2, 0, 3, 0, 0, 2, 0, 1, 2, 0, 3, 2, 3, + 2, 0, 2, 1, 2, 1, 0, 2, 1, 1, 3, 2, 2, 3, 1, 0, 3, 3, 1, 0, + 3, 2, 2, 0, 0, 3, 0, 0, 2, 0, 3, 2, 3, 1, 1, 0, 0, 2, 3, 0, + 0, 1, 1, 1, 2, 1, 3, 2, 1, 3, 0, 1, 3, 3, 1, 1, 1, 1, 1, 1, + 0, 0, 2, 3, 2, 2, 2, 3, 2, 3, 1, 2, 3, 2, 2, 2, 0, 1, 3, 0, + 1, 1, 0, 1, 0, 1, 1, 3, 3, 1, 2, 2, 3, 2, 0, 2, 2, 0, 1, 3, + 0, 1, 3, 2, 1, 3, 3, 2, 0, 1, 3, 2, 0, 2, 1, 1, 0, 3, 0, 1, + 1, 1, 1, 1, 3, 0, 0, 1, 0, 2, 3, 1, 3, 0, 2, 1, 3, 0, 3, 0, + 3, 2, 2, 0, 0, 2, 1, 3, 3, 2, 3, 2, 2, 1, 2, 2, 3, 0, 3, 2, + 2, 0, 3, 2, 3, 2, 0, 0, 1, 2, 0, 0, 2, 0, 0, 3, 3, 2, 0, 0, + 3, 3, 0, 2, 3, 1, 0, 1, 0, 2, 1, 0, 2, 1, 0, 1, 0, 3, 0, 2, + 2, 3, 0, 0, 2, 1, 0, 1, 0, 0, 0, 2, 2, 3, 2, 0, 3, 3, 2, 1, + 0, 0, 3, 1, 2, 3, 3, 1, 0, 3, 1, 1, 0, 3, 3, 3, 2, 2, 2, 0, + 1, 2, 0, 3, 0, 1, 0, 1, 1, 0, 1, 2, 0, 3, 2, 0, 1, 2, 2, 0, + 2, 0, 0, 1, 0, 3, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 1, 1, 1, 0, + 2, 1, 1, 3, 2, 0, 2, 1, 1, 0, 2, 2, 1, 3, 0, 2, 1, 0, 1, 2, + 0, 1, 3, 2, 3, 2, 1, 0, 2, 0, 2, 2, 3, 1, 1, 3, 2, 3, 2, 2, + 0, 2, 0, 0, 0, 3, 2, 0, 2, 2, 3, 3, 3, 2, 1, 2, 0, 0, 3, 0, + 2, 0, 3, 2, 2, 3, 0, 3, 2, 1, 2, 2, 1, 2, 0, 0, 3, 1, 2, 0, + 2, 3, 2, 2, 1, 1, 1, 3, 3, 3, 3, 3, 1, 3, 0, 1, 3, 2, 2, 1, + 0, 1, 1, 2, 1, 2, 3, 1, 2, 2, 1, 2, 1, 1, 0, 3, 3, 1, 1, 3, + 2, 0, 0, 1, 2, 0, 1, 3, 1, 0, 0, 2, 2, 3, 3, 0, 2, 3, 2, 1, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 3, 3, 3, 1, 3, 0, 3, 1, 1, 2, 2, + 2, 1, 0, 3, 2, 3, 0, 2, 3, 2, 3, 1, 2, 3, 3, 1, 2, 1, 0, 0, + 0, 3, 3, 3, 3, 0, 3, 3, 3, 3, 2, 1, 0, 3, 0, 3, 2, 3, 1, 0, + 0, 1, 3, 1, 0, 2, 2, 3, 1, 0, 2, 1, 1, 3, 1, 1, 3, 1, 2, 1, + 0, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 3, 3, 1, 0, 3, 1, 1, 2, 0, + 0, 0, 2, 3, 3, 2, 2, 3, 0, 2, 3, 1, 3, 3, 0, 2, 1, 2, 2, 2, + 1, 0, 1, 3, 2, 3, 1, 1, 2, 1, 1, 0, 0, 2, 3, 2, 1, 0, 3, 1, + 3, 0, 1, 1, 2, 2, 1, 3, 3, 1, 1, 0, 0, 3, 3, 0, 0, 0, 0, 0, + 3, 1, 3, 0, 0, 0, 3, 3, 2, 1, 3, 0, 1, 3, 1, 1, 1, 0, 1, 0, + 1, 2, 2, 2, 3, 3, 0, 2, 3, 2, 1, 3, 3, 1, 1, 3, 0, 3, 3, 2, + 1, 1, 2, 0, 3, 0, 1, 2, 1, 1, 0, 0, 1, 2, 2, 0, 3, 1, 1, 1, + 3, 3, 3, 1, 0, 3, 3, 2, 2, 2, 1, 2, 0, 1, 1, 3, 0, 3, 1, 0, + 2, 2, 0, 1, 2, 3, 2, 1, 2, 0, 3, 2, 1, 3, 0, 1, 2, 0, 3, 0, + 1, 1, 2, 1 +}; + +static data_t verify_data[ARRAY_SIZE] = +{ + 72, 75, 88, 101, 80, 88, 73, 75, 80, 81, 58, 75, 86, 65, 60, 80, 84, 83, 87, 83, + 108, 93, 85, 76, 72, 98, 79, 86, 80, 96, 91, 85, 72, 64, 70, 83, 68, 92, 51, 54, + 85, 85, 60, 58, 90, 64, 55, 69, 72, 48, 94, 77, 91, 83, 70, 69, 67, 77, 59, 50, + 67, 74, 77, 67, 67, 62, 72, 71, 68, 79, 54, 61, 67, 61, 55, 62, 78, 60, 53, 64, + 67, 69, 99, 68, 88, 60, 66, 63, 70, 62, 65, 50, 53, 66, 70, 72, 75, 78, 85, 95, + 71, 89, 70, 68, 86, 88, 58, 77, 84, 70, 65, 68, 73, 75, 91, 96, 105, 92, 76, 68, + 86, 69, 80, 59, 73, 83, 88, 75, 64, 63, 71, 99, 77, 77, 69, 55, 80, 73, 54, 73, + 87, 78, 60, 69, 65, 78, 86, 89, 95, 92, 63, 69, 89, 61, 80, 65, 70, 77, 89, 77, + 79, 79, 73, 92, 64, 81, 60, 78, 81, 80, 61, 63, 89, 65, 56, 83, 77, 65, 102, 70, + 98, 86, 96, 68, 72, 89, 73, 73, 70, 89, 84, 76, 48, 61, 63, 70, 70, 79, 50, 53, + 64, 63, 43, 51, 59, 62, 43, 63, 55, 77, 79, 74, 75, 74, 64, 44, 65, 69, 72, 66, + 54, 71, 74, 72, 69, 76, 68, 89, 94, 75, 65, 53, 85, 79, 65, 74, 82, 73, 58, 70, + 84, 77, 99, 72, 92, 84, 78, 62, 59, 83, 71, 74, 63, 85, 80, 78, 71, 72, 79, 83, + 73, 82, 60, 85, 76, 82, 60, 70, 82, 68, 54, 85, 84, 70, 86, 74, 100, 88, 98, 68, + 67, 87, 69, 73, 68, 88, 76, 71, 47, 43, 47, 80, 54, 65, 40, 37, 59, 53, 33, 48, + 62, 40, 36, 55, 36, 62, 53, 57, 70, 69, 45, 43, 53, 61, 42, 57, 56, 63, 51, 47, + 59, 75, 64, 89, 83, 75, 59, 75, 91, 92, 58, 64, 83, 74, 58, 60, 76, 66, 97, 69, + 90, 95, 92, 64, 78, 75, 77, 73, 65, 78, 82, 75, 47, 54, 59, 71, 59, 56, 53, 42, + 60, 55, 40, 51, 60, 46, 36, 59, 46, 57, 67, 43, 51, 53, 53, 38, 54, 56, 55, 48, + 41, 46, 63, 63, 80, 77, 89, 102, 89, 98, 74, 86, 98, 93, 63, 76, 98, 77, 48, 101, + 86, 88, 100, 82, 102, 90, 95, 75, 86, 103, 83, 98, 80, 104, 98, 86, 71, 74, 80, 90, + 86, 87, 73, 70, 81, 83, 55, 66, 90, 66, 58, 84, 77, 84, 93, 72, 99, 75, 85, 65, + 70, 89, 71, 82, 64, 79, 82, 80, 67, 73, 86, 101, 78, 97, 66, 64, 84, 80, 55, 64, + 79, 73, 51, 79, 89, 68, 94, 77, 109, 102, 82, 61, 66, 93, 88, 70, 82, 82, 85, 69, + 69, 72, 66, 97, 85, 90, 70, 59, 76, 89, 53, 56, 90, 79, 71, 64, 70, 67, 100, 92, + 106, 89, 83, 78, 73, 80, 70, 72, 65, 70, 92, 88, 57, 76, 55, 85, 66, 80, 61, 63, + 63, 78, 54, 58, 71, 73, 54, 63, 63, 62, 89, 76, 86, 81, 83, 54, 70, 81, 78, 64, + 56, 72, 74, 81, 75, 63, 68, 89, 65, 77, 58, 68, 75, 83, 52, 62, 82, 63, 55, 75, + 51, 70, 95, 66, 83, 77, 86, 61, 64, 77, 48, 70, 66, 82, 72, 75, 79, 71, 72, 89, + 78, 78, 66, 59, 91, 80, 55, 64, 79, 68, 54, 71, 67, 75, 87, 84, 100, 101, 76, 58, + 74, 82, 61, 74, 75, 97, 85, 79, 61, 55, 69, 68, 72, 65, 52, 64, 80, 73, 48, 54, + 71, 66, 42, 61, 66, 63, 92, 64, 85, 77, 73, 54, 74, 73, 76, 66, 62, 79, 85, 70, + 71, 84, 87, 81, 88, 86, 77, 77, 93, 88, 78, 71, 101, 89, 58, 84, 95, 81, 89, 97, + 104, 79, 83, 76, 90, 81, 91, 74, 70, 76, 91, 80, 51, 48, 56, 69, 47, 63, 54, 42, + 63, 63, 42, 52, 66, 56, 39, 59, 61, 52, 59, 63, 62, 68, 57, 35, 67, 58, 56, 52, + 61, 63, 60, 47, 85, 75, 89, 106, 88, 95, 74, 82, 107, 107, 64, 78, 98, 90, 62, 91, + 79, 87, 111, 84, 104, 106, 96, 68, 94, 99, 81, 89, 79, 105, 95, 86, 65, 63, 77, 89, + 66, 88, 56, 73, 82, 92, 41, 62, 85, 66, 50, 81, 57, 71, 77, 78, 86, 89, 77, 53, + 67, 78, 61, 63, 72, 82, 69, 66, 59, 46, 55, 70, 56, 64, 45, 50, 65, 64, 42, 56, + 78, 49, 51, 52, 38, 56, 72, 55, 73, 72, 61, 50, 63, 60, 47, 57, 55, 73, 53, 68, + 85, 88, 91, 96, 82, 89, 73, 76, 87, 86, 67, 69, 96, 84, 57, 89, 87, 89, 99, 88, + 104, 90, 85, 75, 88, 92, 85, 75, 74, 87, 103, 94, 55, 48, 56, 65, 72, 50, 45, 51, + 63, 62, 47, 57, 79, 53, 36, 63, 54, 68, 71, 59, 63, 61, 63, 41, 50, 73, 57, 59, + 56, 76, 73, 65, 61, 64, 61, 79, 53, 73, 57, 44, 61, 59, 59, 56, 81, 59, 49, 62, + 65, 55, 69, 72, 79, 70, 58, 57, 68, 61, 62, 50, 57, 60, 66, 66, 63, 77, 81, 89, + 85, 81, 76, 73, 78, 95, 59, 70, 81, 77, 46, 79, 78, 79, 83, 81, 84, 82, 85, 48, + 74, 85, 85, 74, 74, 80, 80, 74, 60, 76, 80, 97, 88, 93, 66, 66, 73, 84, 56, 70, + 90, 63, 58, 78, 73, 93, 90, 78, 94, 88, 82, 67, 85, 70, 81, 86, 74, 82, 88, 82, + 68, 73, 75, 91, 78, 97, 71, 66, 74, 85, 50, 59, 86, 77, 70, 74, 75, 74, 99, 82, + 99, 91, 86, 65, 80, 77, 72, 69, 60, 78, 90, 87, 79, 69, 74, 98, 70, 86, 81, 67, + 69, 78, 48, 65, 88, 70, 70, 70, 69, 72, 96, 90, 99, 82, 81, 76, 98, 73, 74, 71, + 69, 73, 94, 89 +}; + diff --git a/mt/ba_matmul/matmul_gendata.pl b/mt/ba_matmul/matmul_gendata.pl new file mode 100755 index 0000000..f21bb46 --- /dev/null +++ b/mt/ba_matmul/matmul_gendata.pl @@ -0,0 +1,200 @@ +#!/usr/bin/perl -w +#========================================================================== +# matmul_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the matmul benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: matmul_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[ARRAY_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3d",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + + + +#-------------------------------------------------------------------------- +# Matmul +#-------------------------------------------------------------------------- + +# http://answers.oreilly.com/topic/418-how-to-multiply-matrices-in-perl/ + +sub mmult { + my ($m1,$m2) = @_; + my ($m1rows,$m1cols) = matdim($m1); + my ($m2rows,$m2cols) = matdim($m2); + + my $result = [ ]; + my ($i, $j, $k); + + for $i (range($m1rows)) { + for $j (range($m2cols)) { + for $k (range($m1cols)) { + $result->[$i][$j] += $m1->[$i][$k] * $m2->[$k][$j]; + } + } + } + return $result; +} + +sub range { 0 .. ($_[0] - 1) } + + +sub veclen { + my $ary_ref = $_[0]; + my $type = ref $ary_ref; + if ($type ne "ARRAY") { die "$type is bad array ref for $ary_ref" } + return scalar(@$ary_ref); +} + +sub matdim { + my $matrix = $_[0]; + my $rows = veclen($matrix); + my $cols = veclen($matrix->[0]); + return ($rows, $cols); +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + # create random input arrays + my $mat_values1; + my $mat_values2; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + $mat_values1->[$i][$j] = int(rand(4)); + $mat_values2->[$i][$j] = int(rand(4)); + } + } + + # perform matmul + my $mat_results = mmult( $mat_values1, $mat_values2 ); + + # translate 2d arrays to 1d-somethings (I don't know how to code in perl - Chris) + my @values1; + my @values2; + my @results; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + my $value1 = $mat_values1->[$i][$j]; + my $value2 = $mat_values2->[$i][$j]; + my $result = $mat_results->[$i][$j]; + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @results, $result ); + } + } + + print "\n\#define ARRAY_SIZE ".($opts{"size"}*$opts{"size"})." \n\n"; + print "\n\#define DIM_SIZE ".$opts{"size"}." \n\n"; + + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@results); + +} + +main(); + diff --git a/mt/ba_matmul/matmul_mi.c b/mt/ba_matmul/matmul_mi.c new file mode 100755 index 0000000..da9a764 --- /dev/null +++ b/mt/ba_matmul/matmul_mi.c @@ -0,0 +1,271 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ +/* + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } +*/ +} + + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + size_t c_start = lda / ncores * coreid; + size_t c_row; + size_t c_col; + size_t colSplit = 0; + size_t i; + size_t useSplit = 0; + data_t a1; + data_t a2; + data_t a3; + data_t a4; + data_t a5; + data_t a6; + data_t a7; + data_t a8; + data_t c1; + data_t c2; + data_t c3; + data_t c4; + data_t c5; + data_t c6; + data_t c7; + data_t c8; + size_t block; + for (block = 0; block < 2; block++) { + for (colSplit = 0; colSplit < 4; colSplit++) { + useSplit = (coreid == 0) ? colSplit : (colSplit + 2 ) % 4; + for (c_row = c_start + block * 8; c_row < c_start + block * 8 + 8; c_row += 2) { + for (c_col = 0; c_col < lda; c_col+=4) { + c1 = C[c_row*lda+c_col]; + c2 = C[(c_row+1)*lda+c_col]; + c3 = C[c_row*lda+c_col+1]; + c4 = C[(c_row+1)*lda+c_col+1]; + c5 = C[c_row*lda+c_col+2]; + c6 = C[(c_row+1)*lda+c_col+2]; + c7 = C[c_row*lda+c_col+3]; + c8 = C[(c_row+1)*lda+c_col+3]; + for (i = useSplit * lda / 4; i < (useSplit + 1) * lda / 4; i+=4) { + a1 = A[c_row*lda+i]; + a2 = A[(c_row+1)*lda+i]; + a3 = A[c_row*lda+i+1]; + a4 = A[(c_row+1)*lda+i+1]; + a5 = A[c_row*lda+i+2]; + a6 = A[(c_row+1)*lda+i+2]; + a7 = A[c_row*lda+i+3]; + a8 = A[(c_row+1)*lda+i+3]; + + c1 += a1 * B[i*lda+c_col]; + c2 += a2 * B[i*lda+c_col]; + + c1 += a3 * B[(i+1)*lda+c_col]; + c2 += a4 * B[(i+1)*lda+c_col]; + + c1 += a5 * B[(i+2)*lda+c_col]; + c2 += a6 * B[(i+2)*lda+c_col]; + + c1 += a7 * B[(i+3)*lda+c_col]; + c2 += a8 * B[(i+3)*lda+c_col]; + + c3 += a1 * B[i*lda+c_col+1]; + c4 += a2 * B[i*lda+c_col+1]; + + c3 += a3 * B[(i+1)*lda+c_col+1]; + c4 += a4 * B[(i+1)*lda+c_col+1]; + + c3 += a5 * B[(i+2)*lda+c_col+1]; + c4 += a6 * B[(i+2)*lda+c_col+1]; + + c3 += a7 * B[(i+3)*lda+c_col+1]; + c4 += a8 * B[(i+3)*lda+c_col+1]; + + c5 += a1 * B[i*lda+c_col+2]; + c6 += a2 * B[i*lda+c_col+2]; + + c5 += a3 * B[(i+1)*lda+c_col+2]; + c6 += a4 * B[(i+1)*lda+c_col+2]; + + c5 += a5 * B[(i+2)*lda+c_col+2]; + c6 += a6 * B[(i+2)*lda+c_col+2]; + + c5 += a7 * B[(i+3)*lda+c_col+2]; + c6 += a8 * B[(i+3)*lda+c_col+2]; + + c7 += a1 * B[i*lda+c_col+3]; + c8 += a2 * B[i*lda+c_col+3]; + + c7 += a3 * B[(i+1)*lda+c_col+3]; + c8 += a4 * B[(i+1)*lda+c_col+3]; + + c7 += a5 * B[(i+2)*lda+c_col+3]; + c8 += a6 * B[(i+2)*lda+c_col+3]; + + c7 += a7 * B[(i+3)*lda+c_col+3]; + c8 += a8 * B[(i+3)*lda+c_col+3]; + } + + C[c_row*lda+c_col] = c1; + C[(c_row+1)*lda+c_col] = c2; + + C[c_row*lda+c_col+1] = c3; + C[(c_row+1)*lda+c_col+1] = c4; + + C[c_row*lda+c_col+2] = c5; + C[(c_row+1)*lda+c_col+2] = c6; + + C[c_row*lda+c_col+3] = c7; + C[(c_row+1)*lda+c_col+3] = c8; + } + } + } + } +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + + // Execute the provided, naive matmul +// barrier(); +// stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + + + // verify +// verify(ARRAY_SIZE, results_data, verify_data); + + // clear results from the first trial +// size_t i; +// if (coreid == 0) +// for (i=0; i < ARRAY_SIZE; i++) +// results_data[i] = 0; +// barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/ba_vvadd/ba_vvadd.c b/mt/ba_vvadd/ba_vvadd.c new file mode 100755 index 0000000..30703df --- /dev/null +++ b/mt/ba_vvadd/ba_vvadd.c @@ -0,0 +1,168 @@ +//************************************************************************** +// Vector-vector add benchmark +//-------------------------------------------------------------------------- +// Author : Andrew Waterman +// TA : Christopher Celio +// Student : +// +// This benchmark adds two vectors and writes the results to a +// third vector. The input data (and reference data) should be +// generated using the vvadd_gendata.pl perl script and dumped +// to a file named dataset.h + +// to print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DATA_SIZE, 10*_c/DATA_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %4ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %4ld, correct[%d]= %4ld\n", + i, (long) test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// vvadd function + +//perform in-place vvadd +void __attribute__((noinline)) vvadd(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + size_t i; + + // interleave accesses + for (i = coreid; i < n; i+=ncores) + { + x[i] = x[i] + y[i]; + } +} + +void __attribute__((noinline)) vvadd_opt(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + size_t i; + size_t start = n * coreid / ncores; + size_t end = (coreid == ncores - 1) ? n : n * (coreid+1)/ ncores; + for (i = start; i < end; i++) { + x[i] = x[i] + y[i]; + } +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[DATA_SIZE]; + + // because we're going to perform an in-place vvadd (and we're going to run + // it a couple of times) let's copy the input data to a temporary results + // array + + size_t i; + if (coreid == 0) + { + for (i = 0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + + + // Execute the provided, terrible vvadd + barrier(); + stats(vvadd(DATA_SIZE, results_data, input2_data); barrier()); + + + // verify + verify(DATA_SIZE, results_data, verify_data); + + // reset results from the first trial + if (coreid == 0) + { + for (i=0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + barrier(); + + + // Execute your faster vvadd + barrier(); + stats(vvadd_opt(DATA_SIZE, results_data, input2_data); barrier()); + +#ifdef DEBUG + printArray("results: ", DATA_SIZE, results_data); + printArray("verify : ", DATA_SIZE, verify_data); +#endif + + // verify + verify(DATA_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/ba_vvadd/dataset.h b/mt/ba_vvadd/dataset.h new file mode 100755 index 0000000..ce9f936 --- /dev/null +++ b/mt/ba_vvadd/dataset.h @@ -0,0 +1,165 @@ + +#define DATA_SIZE 1000 + +static data_t input1_data[DATA_SIZE] = +{ + 0.00, 15.00, 10.00, 3.00, 14.00, 6.00, 2.00, 18.00, 11.00, 15.00, 11.00, 0.00, 17.00, 16.00, 7.00, 13.00, 18.00, 2.00, 2.00, 5.00, + 8.00, 5.00, 12.00, 14.00, 6.00, 12.00, 16.00, 7.00, 9.00, 17.00, 10.00, 10.00, 3.00, 5.00, 14.00, 11.00, 9.00, 12.00, 3.00, 1.00, + 5.00, 4.00, 6.00, 17.00, 17.00, 4.00, 17.00, 15.00, 17.00, 18.00, 3.00, 18.00, 10.00, 6.00, 12.00, 12.00, 3.00, 2.00, 16.00, 1.00, + 5.00, 6.00, 2.00, 17.00, 16.00, 5.00, 10.00, 18.00, 14.00, 4.00, 9.00, 9.00, 7.00, 4.00, 8.00, 13.00, 12.00, 6.00, 4.00, 17.00, + 5.00, 2.00, 11.00, 11.00, 7.00, 6.00, 8.00, 5.00, 6.00, 6.00, 11.00, 1.00, 18.00, 7.00, 6.00, 9.00, 10.00, 17.00, 14.00, 4.00, + 14.00, 11.00, 2.00, 0.00, 2.00, 17.00, 17.00, 15.00, 10.00, 8.00, 12.00, 18.00, 5.00, 0.00, 0.00, 1.00, 1.00, 8.00, 11.00, 11.00, + 7.00, 5.00, 15.00, 18.00, 15.00, 6.00, 8.00, 9.00, 18.00, 6.00, 15.00, 16.00, 10.00, 18.00, 13.00, 6.00, 10.00, 16.00, 0.00, 10.00, + 12.00, 8.00, 8.00, 3.00, 0.00, 1.00, 4.00, 0.00, 8.00, 15.00, 16.00, 9.00, 7.00, 7.00, 10.00, 9.00, 16.00, 12.00, 5.00, 5.00, + 9.00, 5.00, 17.00, 4.00, 13.00, 13.00, 4.00, 14.00, 10.00, 5.00, 10.00, 10.00, 6.00, 18.00, 5.00, 15.00, 5.00, 15.00, 13.00, 18.00, + 6.00, 13.00, 5.00, 18.00, 12.00, 14.00, 1.00, 7.00, 2.00, 1.00, 7.00, 12.00, 15.00, 15.00, 6.00, 2.00, 1.00, 2.00, 18.00, 6.00, + 10.00, 14.00, 9.00, 15.00, 11.00, 0.00, 3.00, 1.00, 2.00, 2.00, 14.00, 7.00, 18.00, 0.00, 2.00, 2.00, 16.00, 8.00, 4.00, 5.00, + 7.00, 11.00, 7.00, 10.00, 14.00, 10.00, 3.00, 0.00, 13.00, 9.00, 14.00, 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vvadd_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the vvadd benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: vvadd_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[DATA_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3.2f",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + my @values1; + my @values2; + my @sum; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + my $value1 = int(rand(19)); + my $value2 = int(rand(19)); + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @sum, $value1 + $value2 ); + } + + + print "\n\#define DATA_SIZE ".$opts{"size"}." \n\n"; + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@sum ); + +} + +main(); + diff --git a/mt/bb_matmul/bb_matmul.c b/mt/bb_matmul/bb_matmul.c new file mode 100755 index 0000000..067e3e3 --- /dev/null +++ b/mt/bb_matmul/bb_matmul.c @@ -0,0 +1,273 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + + +void __attribute__((noinline)) matmul_msi(const int lda, const data_t A[], const data_t B[], data_t C[] ) { + int i, j, k; + + for (i = 0; i < lda; i += 2) { + for (j = coreid * (lda / ncores); j < (coreid + 1) * (lda / ncores); j += 4) { + //for (j = 0; j < lda; j += 4) { + register data_t c00 = 0, c01 = 0; + register data_t c10 = 0, c11 = 0; + register data_t c20 = 0, c21 = 0; + register data_t c30 = 0, c31 = 0; + + register data_t a0, a1, a2, a3, b0, b1; + for (k = 0; k < lda; k++) { + a0 = A[j*lda + k + 0*lda]; + a1 = A[j*lda + k + 1*lda]; + a2 = A[j*lda + k + 2*lda]; + a3 = A[j*lda + k + 3*lda]; + + b0 = B[k*lda + i + 0]; + b1 = B[k*lda + i + 1]; + /*if (coreid == 0) { + printf("i = %d; j = %d; k = %d\n", i, j, k); + printf("%d += %d * %d; %d += %d * %d\n", (int)c00, (int)a0, (int)b0, (int)c01, (int)a0, (int)b1); + printf("%d += %d * %d; %d += %d * %d\n", (int)c10, (int)a1, (int)b0, (int)c11, (int)a1, (int)b1); + printf("%d += %d * %d; %d += %d * %d\n", (int)c20, (int)a2, (int)b0, (int)c21, (int)a2, (int)b1); + printf("%d += %d * %d; %d += %d * %d\n", (int)c30, (int)a3, (int)b0, (int)c31, (int)a3, (int)b1); + printf("\n"); + }*/ + + c00 += a0 * b0; c01 += a0 * b1; + c10 += a1 * b0; c11 += a1 * b1; + c20 += a2 * b0; c21 += a2 * b1; + c30 += a3 * b0; c31 += a3 * b1; + } + + C[i + j*lda + 0 + 0*lda] = c00; C[i + j*lda + 1 + 0*lda] = c01; + C[i + j*lda + 0 + 1*lda] = c10; C[i + j*lda + 1 + 1*lda] = c11; + C[i + j*lda + 0 + 2*lda] = c20; C[i + j*lda + 1 + 2*lda] = c21; + C[i + j*lda + 0 + 3*lda] = c30; C[i + j*lda + 1 + 3*lda] = c31; + } + } +} + +void __attribute__((noinline)) matmul_mi(const int lda, const data_t A[], const data_t B[], data_t C[] ) { + int i, j, k; + + int curhalf = coreid; + for (i = 0; i < lda; i += 2) { + for (j = coreid * (lda / ncores); j < (coreid + 1) * (lda / ncores); j += 4) { + register float c00 = 0, c01 = 0; + register float c10 = 0, c11 = 0; + register float c20 = 0, c21 = 0; + register float c30 = 0, c31 = 0; + + register float a0, a1, a2, a3, b0, b1; + for (k = curhalf * (lda/2); k < curhalf * (lda/2) + (lda/2); k++) { + a0 = A[j*lda + k + 0*lda]; + a1 = A[j*lda + k + 1*lda]; + a2 = A[j*lda + k + 2*lda]; + a3 = A[j*lda + k + 3*lda]; + + b0 = B[k*lda + i + 0]; + b1 = B[k*lda + i + 1]; + + c00 += a0 * b0; c01 += a0 * b1; + c10 += a1 * b0; c11 += a1 * b1; + c20 += a2 * b0; c21 += a2 * b1; + c30 += a3 * b0; c31 += a3 * b1; + } + + C[i + j*lda + 0 + 0*lda] += c00; C[i + j*lda + 1 + 0*lda] += c01; + C[i + j*lda + 0 + 1*lda] += c10; C[i + j*lda + 1 + 1*lda] += c11; + C[i + j*lda + 0 + 2*lda] += c20; C[i + j*lda + 1 + 2*lda] += c21; + C[i + j*lda + 0 + 3*lda] += c30; C[i + j*lda + 1 + 3*lda] += c31; + } + } + + barrier(); + curhalf++; + curhalf %= ncores; + + for (i = 0; i < lda; i += 2) { + for (j = coreid * (lda / ncores); j < (coreid + 1) * (lda / ncores); j += 4) { + register float c00 = 0, c01 = 0; + register float c10 = 0, c11 = 0; + register float c20 = 0, c21 = 0; + register float c30 = 0, c31 = 0; + + register float a0, a1, a2, a3, b0, b1; + for (k = curhalf * (lda/2); k < curhalf * (lda/2) + (lda/2); k++) { + a0 = A[j*lda + k + 0*lda]; + a1 = A[j*lda + k + 1*lda]; + a2 = A[j*lda + k + 2*lda]; + a3 = A[j*lda + k + 3*lda]; + + b0 = B[k*lda + i + 0]; + b1 = B[k*lda + i + 1]; + + c00 += a0 * b0; c01 += a0 * b1; + c10 += a1 * b0; c11 += a1 * b1; + c20 += a2 * b0; c21 += a2 * b1; + c30 += a3 * b0; c31 += a3 * b1; + } + + C[i + j*lda + 0 + 0*lda] += c00; C[i + j*lda + 1 + 0*lda] += c01; + C[i + j*lda + 0 + 1*lda] += c10; C[i + j*lda + 1 + 1*lda] += c11; + C[i + j*lda + 0 + 2*lda] += c20; C[i + j*lda + 1 + 2*lda] += c21; + C[i + j*lda + 0 + 3*lda] += c30; C[i + j*lda + 1 + 3*lda] += c31; + } + } +} + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + matmul_msi(lda, A, B, C); +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + +// // Execute the provided, naive matmul +// barrier(); +// stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); +// +// +// // verify +// verify(ARRAY_SIZE, results_data, verify_data); +// +// // clear results from the first trial +// size_t i; +// if (coreid == 0) +// for (i=0; i < ARRAY_SIZE; i++) +// results_data[i] = 0; +// barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/bb_matmul/dataset.h b/mt/bb_matmul/dataset.h new file mode 100755 index 0000000..dde3ee4 --- /dev/null +++ b/mt/bb_matmul/dataset.h @@ -0,0 +1,174 @@ + +#define ARRAY_SIZE 1024 + + +#define DIM_SIZE 32 + +static data_t input1_data[ARRAY_SIZE] = +{ + 0, 3, 2, 0, 3, 1, 0, 3, 2, 3, 2, 0, 3, 3, 1, 2, 3, 0, 0, 1, + 1, 1, 2, 3, 1, 2, 3, 1, 1, 3, 2, 2, 0, 1, 3, 2, 2, 2, 0, 0, + 1, 0, 1, 3, 3, 0, 3, 3, 3, 3, 0, 3, 2, 1, 2, 2, 0, 0, 3, 0, + 1, 1, 0, 3, 3, 1, 2, 3, 3, 0, 1, 2, 1, 0, 1, 2, 2, 1, 0, 3, + 1, 0, 2, 2, 1, 1, 1, 1, 1, 1, 2, 0, 3, 1, 1, 2, 2, 3, 3, 1, + 3, 2, 0, 0, 0, 3, 3, 3, 2, 1, 2, 3, 1, 0, 0, 0, 0, 1, 2, 2, + 1, 1, 3, 3, 3, 1, 1, 2, 3, 1, 3, 3, 2, 3, 2, 1, 2, 3, 0, 2, + 2, 1, 1, 0, 0, 0, 0, 0, 1, 3, 3, 1, 1, 1, 2, 2, 3, 2, 1, 1, + 1, 1, 3, 0, 2, 2, 1, 3, 2, 1, 2, 2, 1, 3, 1, 3, 1, 3, 2, 3, + 1, 2, 1, 3, 2, 2, 0, 1, 0, 0, 1, 2, 3, 3, 1, 0, 0, 0, 3, 1, + 2, 3, 2, 3, 2, 0, 0, 0, 0, 0, 3, 1, 3, 0, 0, 0, 3, 1, 1, 1, + 1, 2, 1, 2, 3, 2, 0, 0, 2, 2, 3, 0, 3, 0, 0, 3, 0, 3, 1, 3, + 3, 1, 1, 1, 2, 2, 1, 3, 0, 3, 3, 1, 0, 0, 3, 2, 1, 3, 3, 3, + 1, 0, 1, 1, 2, 1, 0, 1, 1, 2, 2, 3, 1, 2, 2, 2, 0, 1, 3, 3, + 3, 2, 2, 1, 0, 1, 2, 0, 1, 1, 1, 1, 2, 3, 2, 2, 3, 3, 0, 0, + 2, 0, 0, 0, 3, 0, 1, 0, 3, 0, 0, 0, 3, 0, 0, 2, 0, 2, 0, 0, + 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 0, 2, 0, 0, 3, 3, 2, 3, 3, 0, + 1, 0, 2, 2, 0, 3, 3, 1, 1, 0, 2, 3, 2, 1, 1, 0, 1, 2, 1, 2, + 2, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 3, 3, 2, 0, 0, 1, 3, 0, 3, + 3, 0, 0, 0, 0, 3, 3, 1, 0, 0, 3, 3, 2, 1, 2, 1, 3, 3, 0, 1, + 3, 0, 2, 3, 1, 3, 3, 3, 3, 3, 0, 1, 1, 3, 0, 2, 2, 3, 1, 2, + 2, 2, 1, 3, 3, 0, 3, 0, 0, 2, 0, 2, 3, 0, 1, 3, 2, 2, 0, 0, + 2, 3, 0, 2, 2, 2, 3, 1, 0, 3, 3, 3, 3, 1, 0, 3, 3, 2, 0, 3, + 2, 0, 3, 0, 2, 0, 0, 2, 2, 1, 0, 2, 3, 1, 1, 1, 1, 2, 3, 3, + 3, 0, 0, 3, 3, 3, 2, 3, 3, 1, 2, 2, 3, 1, 2, 1, 1, 3, 0, 1, + 2, 0, 2, 0, 0, 1, 3, 2, 0, 1, 3, 2, 3, 3, 0, 0, 0, 1, 0, 3, + 3, 2, 2, 2, 1, 1, 2, 2, 1, 3, 2, 0, 1, 3, 2, 0, 2, 1, 3, 0, + 0, 0, 1, 3, 3, 2, 2, 2, 3, 1, 0, 0, 1, 1, 2, 1, 3, 1, 1, 2, + 2, 3, 2, 3, 0, 2, 3, 3, 0, 3, 0, 0, 1, 0, 0, 0, 1, 3, 1, 1, + 2, 3, 2, 1, 1, 2, 2, 2, 3, 0, 1, 1, 2, 1, 2, 0, 2, 3, 1, 3, + 0, 1, 1, 3, 0, 2, 3, 0, 1, 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 2, + 3, 0, 1, 1, 1, 1, 2, 0, 1, 2, 0, 1, 1, 1, 0, 1, 3, 2, 3, 1, + 0, 2, 1, 2, 1, 3, 3, 1, 0, 2, 2, 3, 1, 3, 1, 3, 0, 1, 0, 3, + 0, 3, 2, 0, 3, 3, 3, 0, 3, 2, 2, 2, 1, 3, 0, 0, 1, 1, 3, 0, + 1, 2, 1, 0, 0, 0, 3, 2, 2, 0, 0, 2, 1, 3, 0, 0, 3, 0, 0, 2, + 1, 1, 2, 2, 1, 3, 2, 2, 1, 1, 2, 1, 3, 2, 1, 1, 3, 0, 1, 3, + 3, 2, 2, 1, 0, 3, 2, 2, 2, 3, 0, 1, 3, 3, 2, 3, 0, 3, 2, 3, + 1, 1, 0, 0, 0, 2, 3, 0, 3, 0, 1, 1, 3, 1, 3, 2, 1, 1, 2, 1, + 3, 2, 0, 2, 1, 0, 2, 3, 2, 3, 2, 1, 2, 3, 0, 0, 1, 1, 0, 0, + 2, 1, 0, 1, 2, 2, 2, 2, 0, 3, 3, 1, 0, 0, 0, 0, 3, 1, 1, 0, + 0, 0, 0, 1, 2, 2, 1, 3, 0, 2, 3, 2, 3, 2, 2, 1, 2, 2, 3, 3, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 2, 2, 3, 1, 1, 1, 0, 0, 0, 3, 0, + 1, 0, 3, 1, 1, 3, 0, 1, 2, 2, 0, 0, 3, 3, 3, 3, 2, 1, 0, 0, + 1, 0, 2, 0, 1, 1, 0, 0, 3, 3, 2, 1, 1, 1, 0, 1, 1, 2, 2, 1, + 1, 2, 0, 3, 1, 3, 1, 0, 3, 0, 3, 1, 1, 1, 0, 2, 0, 3, 1, 0, + 1, 0, 2, 0, 2, 3, 3, 3, 1, 2, 3, 2, 2, 0, 1, 1, 0, 3, 3, 1, + 3, 3, 2, 0, 2, 0, 2, 2, 3, 3, 3, 0, 2, 3, 3, 1, 3, 2, 2, 2, + 0, 2, 3, 0, 2, 0, 3, 2, 2, 1, 1, 0, 2, 2, 2, 0, 2, 2, 0, 1, + 3, 2, 1, 3, 2, 2, 0, 3, 3, 1, 2, 2, 0, 0, 3, 2, 1, 2, 2, 1, + 3, 1, 2, 0, 0, 1, 1, 2, 1, 3, 2, 2, 3, 0, 2, 1, 3, 2, 1, 3, + 2, 3, 3, 1, 2, 1, 2, 2, 0, 0, 0, 3, 0, 2, 3, 1, 0, 0, 2, 3, + 3, 2, 2, 1 +}; + +static data_t input2_data[ARRAY_SIZE] = +{ + 1, 1, 0, 3, 1, 2, 0, 0, 0, 0, 0, 2, 1, 2, 3, 0, 0, 3, 3, 2, + 2, 1, 2, 3, 3, 0, 2, 2, 1, 1, 2, 2, 0, 2, 2, 1, 2, 3, 2, 2, + 3, 3, 2, 2, 1, 1, 1, 1, 2, 1, 2, 2, 3, 3, 3, 0, 0, 3, 2, 3, + 2, 3, 1, 2, 1, 1, 2, 2, 0, 1, 0, 3, 2, 1, 1, 1, 2, 0, 1, 2, + 2, 0, 2, 1, 3, 3, 2, 3, 2, 0, 3, 1, 3, 3, 2, 0, 1, 0, 1, 1, + 2, 2, 1, 1, 2, 2, 1, 2, 3, 3, 1, 3, 2, 2, 2, 3, 3, 1, 0, 2, + 1, 0, 0, 0, 1, 1, 2, 0, 3, 2, 3, 3, 0, 2, 3, 1, 0, 0, 2, 1, + 2, 0, 2, 1, 1, 2, 3, 1, 3, 2, 1, 0, 0, 0, 0, 0, 2, 2, 0, 2, + 1, 2, 0, 3, 2, 2, 0, 0, 3, 2, 1, 1, 3, 0, 2, 0, 0, 1, 0, 2, + 3, 3, 1, 3, 3, 0, 0, 2, 2, 0, 0, 0, 1, 0, 0, 1, 3, 0, 2, 1, + 3, 2, 2, 1, 3, 2, 0, 1, 2, 2, 3, 2, 1, 1, 1, 1, 3, 0, 1, 3, + 2, 2, 3, 1, 1, 2, 0, 2, 1, 1, 2, 3, 1, 0, 1, 0, 1, 1, 0, 0, + 2, 0, 3, 0, 3, 0, 3, 2, 2, 3, 3, 2, 1, 0, 2, 2, 1, 1, 0, 3, + 3, 2, 2, 0, 0, 3, 0, 1, 0, 0, 1, 2, 0, 1, 3, 0, 1, 2, 2, 0, + 0, 3, 0, 3, 0, 1, 1, 2, 0, 0, 0, 3, 0, 0, 2, 1, 1, 1, 0, 2, + 1, 3, 1, 2, 0, 3, 0, 3, 1, 3, 0, 0, 2, 2, 2, 2, 3, 3, 2, 1, + 2, 2, 1, 1, 2, 2, 2, 2, 0, 3, 0, 0, 2, 0, 1, 2, 0, 3, 2, 3, + 2, 0, 2, 1, 2, 1, 0, 2, 1, 1, 3, 2, 2, 3, 1, 0, 3, 3, 1, 0, + 3, 2, 2, 0, 0, 3, 0, 0, 2, 0, 3, 2, 3, 1, 1, 0, 0, 2, 3, 0, + 0, 1, 1, 1, 2, 1, 3, 2, 1, 3, 0, 1, 3, 3, 1, 1, 1, 1, 1, 1, + 0, 0, 2, 3, 2, 2, 2, 3, 2, 3, 1, 2, 3, 2, 2, 2, 0, 1, 3, 0, + 1, 1, 0, 1, 0, 1, 1, 3, 3, 1, 2, 2, 3, 2, 0, 2, 2, 0, 1, 3, + 0, 1, 3, 2, 1, 3, 3, 2, 0, 1, 3, 2, 0, 2, 1, 1, 0, 3, 0, 1, + 1, 1, 1, 1, 3, 0, 0, 1, 0, 2, 3, 1, 3, 0, 2, 1, 3, 0, 3, 0, + 3, 2, 2, 0, 0, 2, 1, 3, 3, 2, 3, 2, 2, 1, 2, 2, 3, 0, 3, 2, + 2, 0, 3, 2, 3, 2, 0, 0, 1, 2, 0, 0, 2, 0, 0, 3, 3, 2, 0, 0, + 3, 3, 0, 2, 3, 1, 0, 1, 0, 2, 1, 0, 2, 1, 0, 1, 0, 3, 0, 2, + 2, 3, 0, 0, 2, 1, 0, 1, 0, 0, 0, 2, 2, 3, 2, 0, 3, 3, 2, 1, + 0, 0, 3, 1, 2, 3, 3, 1, 0, 3, 1, 1, 0, 3, 3, 3, 2, 2, 2, 0, + 1, 2, 0, 3, 0, 1, 0, 1, 1, 0, 1, 2, 0, 3, 2, 0, 1, 2, 2, 0, + 2, 0, 0, 1, 0, 3, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 1, 1, 1, 0, + 2, 1, 1, 3, 2, 0, 2, 1, 1, 0, 2, 2, 1, 3, 0, 2, 1, 0, 1, 2, + 0, 1, 3, 2, 3, 2, 1, 0, 2, 0, 2, 2, 3, 1, 1, 3, 2, 3, 2, 2, + 0, 2, 0, 0, 0, 3, 2, 0, 2, 2, 3, 3, 3, 2, 1, 2, 0, 0, 3, 0, + 2, 0, 3, 2, 2, 3, 0, 3, 2, 1, 2, 2, 1, 2, 0, 0, 3, 1, 2, 0, + 2, 3, 2, 2, 1, 1, 1, 3, 3, 3, 3, 3, 1, 3, 0, 1, 3, 2, 2, 1, + 0, 1, 1, 2, 1, 2, 3, 1, 2, 2, 1, 2, 1, 1, 0, 3, 3, 1, 1, 3, + 2, 0, 0, 1, 2, 0, 1, 3, 1, 0, 0, 2, 2, 3, 3, 0, 2, 3, 2, 1, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 3, 3, 3, 1, 3, 0, 3, 1, 1, 2, 2, + 2, 1, 0, 3, 2, 3, 0, 2, 3, 2, 3, 1, 2, 3, 3, 1, 2, 1, 0, 0, + 0, 3, 3, 3, 3, 0, 3, 3, 3, 3, 2, 1, 0, 3, 0, 3, 2, 3, 1, 0, + 0, 1, 3, 1, 0, 2, 2, 3, 1, 0, 2, 1, 1, 3, 1, 1, 3, 1, 2, 1, + 0, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 3, 3, 1, 0, 3, 1, 1, 2, 0, + 0, 0, 2, 3, 3, 2, 2, 3, 0, 2, 3, 1, 3, 3, 0, 2, 1, 2, 2, 2, + 1, 0, 1, 3, 2, 3, 1, 1, 2, 1, 1, 0, 0, 2, 3, 2, 1, 0, 3, 1, + 3, 0, 1, 1, 2, 2, 1, 3, 3, 1, 1, 0, 0, 3, 3, 0, 0, 0, 0, 0, + 3, 1, 3, 0, 0, 0, 3, 3, 2, 1, 3, 0, 1, 3, 1, 1, 1, 0, 1, 0, + 1, 2, 2, 2, 3, 3, 0, 2, 3, 2, 1, 3, 3, 1, 1, 3, 0, 3, 3, 2, + 1, 1, 2, 0, 3, 0, 1, 2, 1, 1, 0, 0, 1, 2, 2, 0, 3, 1, 1, 1, + 3, 3, 3, 1, 0, 3, 3, 2, 2, 2, 1, 2, 0, 1, 1, 3, 0, 3, 1, 0, + 2, 2, 0, 1, 2, 3, 2, 1, 2, 0, 3, 2, 1, 3, 0, 1, 2, 0, 3, 0, + 1, 1, 2, 1 +}; + +static data_t verify_data[ARRAY_SIZE] = +{ + 72, 75, 88, 101, 80, 88, 73, 75, 80, 81, 58, 75, 86, 65, 60, 80, 84, 83, 87, 83, + 108, 93, 85, 76, 72, 98, 79, 86, 80, 96, 91, 85, 72, 64, 70, 83, 68, 92, 51, 54, + 85, 85, 60, 58, 90, 64, 55, 69, 72, 48, 94, 77, 91, 83, 70, 69, 67, 77, 59, 50, + 67, 74, 77, 67, 67, 62, 72, 71, 68, 79, 54, 61, 67, 61, 55, 62, 78, 60, 53, 64, + 67, 69, 99, 68, 88, 60, 66, 63, 70, 62, 65, 50, 53, 66, 70, 72, 75, 78, 85, 95, + 71, 89, 70, 68, 86, 88, 58, 77, 84, 70, 65, 68, 73, 75, 91, 96, 105, 92, 76, 68, + 86, 69, 80, 59, 73, 83, 88, 75, 64, 63, 71, 99, 77, 77, 69, 55, 80, 73, 54, 73, + 87, 78, 60, 69, 65, 78, 86, 89, 95, 92, 63, 69, 89, 61, 80, 65, 70, 77, 89, 77, + 79, 79, 73, 92, 64, 81, 60, 78, 81, 80, 61, 63, 89, 65, 56, 83, 77, 65, 102, 70, + 98, 86, 96, 68, 72, 89, 73, 73, 70, 89, 84, 76, 48, 61, 63, 70, 70, 79, 50, 53, + 64, 63, 43, 51, 59, 62, 43, 63, 55, 77, 79, 74, 75, 74, 64, 44, 65, 69, 72, 66, + 54, 71, 74, 72, 69, 76, 68, 89, 94, 75, 65, 53, 85, 79, 65, 74, 82, 73, 58, 70, + 84, 77, 99, 72, 92, 84, 78, 62, 59, 83, 71, 74, 63, 85, 80, 78, 71, 72, 79, 83, + 73, 82, 60, 85, 76, 82, 60, 70, 82, 68, 54, 85, 84, 70, 86, 74, 100, 88, 98, 68, + 67, 87, 69, 73, 68, 88, 76, 71, 47, 43, 47, 80, 54, 65, 40, 37, 59, 53, 33, 48, + 62, 40, 36, 55, 36, 62, 53, 57, 70, 69, 45, 43, 53, 61, 42, 57, 56, 63, 51, 47, + 59, 75, 64, 89, 83, 75, 59, 75, 91, 92, 58, 64, 83, 74, 58, 60, 76, 66, 97, 69, + 90, 95, 92, 64, 78, 75, 77, 73, 65, 78, 82, 75, 47, 54, 59, 71, 59, 56, 53, 42, + 60, 55, 40, 51, 60, 46, 36, 59, 46, 57, 67, 43, 51, 53, 53, 38, 54, 56, 55, 48, + 41, 46, 63, 63, 80, 77, 89, 102, 89, 98, 74, 86, 98, 93, 63, 76, 98, 77, 48, 101, + 86, 88, 100, 82, 102, 90, 95, 75, 86, 103, 83, 98, 80, 104, 98, 86, 71, 74, 80, 90, + 86, 87, 73, 70, 81, 83, 55, 66, 90, 66, 58, 84, 77, 84, 93, 72, 99, 75, 85, 65, + 70, 89, 71, 82, 64, 79, 82, 80, 67, 73, 86, 101, 78, 97, 66, 64, 84, 80, 55, 64, + 79, 73, 51, 79, 89, 68, 94, 77, 109, 102, 82, 61, 66, 93, 88, 70, 82, 82, 85, 69, + 69, 72, 66, 97, 85, 90, 70, 59, 76, 89, 53, 56, 90, 79, 71, 64, 70, 67, 100, 92, + 106, 89, 83, 78, 73, 80, 70, 72, 65, 70, 92, 88, 57, 76, 55, 85, 66, 80, 61, 63, + 63, 78, 54, 58, 71, 73, 54, 63, 63, 62, 89, 76, 86, 81, 83, 54, 70, 81, 78, 64, + 56, 72, 74, 81, 75, 63, 68, 89, 65, 77, 58, 68, 75, 83, 52, 62, 82, 63, 55, 75, + 51, 70, 95, 66, 83, 77, 86, 61, 64, 77, 48, 70, 66, 82, 72, 75, 79, 71, 72, 89, + 78, 78, 66, 59, 91, 80, 55, 64, 79, 68, 54, 71, 67, 75, 87, 84, 100, 101, 76, 58, + 74, 82, 61, 74, 75, 97, 85, 79, 61, 55, 69, 68, 72, 65, 52, 64, 80, 73, 48, 54, + 71, 66, 42, 61, 66, 63, 92, 64, 85, 77, 73, 54, 74, 73, 76, 66, 62, 79, 85, 70, + 71, 84, 87, 81, 88, 86, 77, 77, 93, 88, 78, 71, 101, 89, 58, 84, 95, 81, 89, 97, + 104, 79, 83, 76, 90, 81, 91, 74, 70, 76, 91, 80, 51, 48, 56, 69, 47, 63, 54, 42, + 63, 63, 42, 52, 66, 56, 39, 59, 61, 52, 59, 63, 62, 68, 57, 35, 67, 58, 56, 52, + 61, 63, 60, 47, 85, 75, 89, 106, 88, 95, 74, 82, 107, 107, 64, 78, 98, 90, 62, 91, + 79, 87, 111, 84, 104, 106, 96, 68, 94, 99, 81, 89, 79, 105, 95, 86, 65, 63, 77, 89, + 66, 88, 56, 73, 82, 92, 41, 62, 85, 66, 50, 81, 57, 71, 77, 78, 86, 89, 77, 53, + 67, 78, 61, 63, 72, 82, 69, 66, 59, 46, 55, 70, 56, 64, 45, 50, 65, 64, 42, 56, + 78, 49, 51, 52, 38, 56, 72, 55, 73, 72, 61, 50, 63, 60, 47, 57, 55, 73, 53, 68, + 85, 88, 91, 96, 82, 89, 73, 76, 87, 86, 67, 69, 96, 84, 57, 89, 87, 89, 99, 88, + 104, 90, 85, 75, 88, 92, 85, 75, 74, 87, 103, 94, 55, 48, 56, 65, 72, 50, 45, 51, + 63, 62, 47, 57, 79, 53, 36, 63, 54, 68, 71, 59, 63, 61, 63, 41, 50, 73, 57, 59, + 56, 76, 73, 65, 61, 64, 61, 79, 53, 73, 57, 44, 61, 59, 59, 56, 81, 59, 49, 62, + 65, 55, 69, 72, 79, 70, 58, 57, 68, 61, 62, 50, 57, 60, 66, 66, 63, 77, 81, 89, + 85, 81, 76, 73, 78, 95, 59, 70, 81, 77, 46, 79, 78, 79, 83, 81, 84, 82, 85, 48, + 74, 85, 85, 74, 74, 80, 80, 74, 60, 76, 80, 97, 88, 93, 66, 66, 73, 84, 56, 70, + 90, 63, 58, 78, 73, 93, 90, 78, 94, 88, 82, 67, 85, 70, 81, 86, 74, 82, 88, 82, + 68, 73, 75, 91, 78, 97, 71, 66, 74, 85, 50, 59, 86, 77, 70, 74, 75, 74, 99, 82, + 99, 91, 86, 65, 80, 77, 72, 69, 60, 78, 90, 87, 79, 69, 74, 98, 70, 86, 81, 67, + 69, 78, 48, 65, 88, 70, 70, 70, 69, 72, 96, 90, 99, 82, 81, 76, 98, 73, 74, 71, + 69, 73, 94, 89 +}; + diff --git a/mt/bb_matmul/matmul_gendata.pl b/mt/bb_matmul/matmul_gendata.pl new file mode 100755 index 0000000..f21bb46 --- /dev/null +++ b/mt/bb_matmul/matmul_gendata.pl @@ -0,0 +1,200 @@ +#!/usr/bin/perl -w +#========================================================================== +# matmul_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the matmul benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: matmul_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[ARRAY_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3d",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + + + +#-------------------------------------------------------------------------- +# Matmul +#-------------------------------------------------------------------------- + +# http://answers.oreilly.com/topic/418-how-to-multiply-matrices-in-perl/ + +sub mmult { + my ($m1,$m2) = @_; + my ($m1rows,$m1cols) = matdim($m1); + my ($m2rows,$m2cols) = matdim($m2); + + my $result = [ ]; + my ($i, $j, $k); + + for $i (range($m1rows)) { + for $j (range($m2cols)) { + for $k (range($m1cols)) { + $result->[$i][$j] += $m1->[$i][$k] * $m2->[$k][$j]; + } + } + } + return $result; +} + +sub range { 0 .. ($_[0] - 1) } + + +sub veclen { + my $ary_ref = $_[0]; + my $type = ref $ary_ref; + if ($type ne "ARRAY") { die "$type is bad array ref for $ary_ref" } + return scalar(@$ary_ref); +} + +sub matdim { + my $matrix = $_[0]; + my $rows = veclen($matrix); + my $cols = veclen($matrix->[0]); + return ($rows, $cols); +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + # create random input arrays + my $mat_values1; + my $mat_values2; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + $mat_values1->[$i][$j] = int(rand(4)); + $mat_values2->[$i][$j] = int(rand(4)); + } + } + + # perform matmul + my $mat_results = mmult( $mat_values1, $mat_values2 ); + + # translate 2d arrays to 1d-somethings (I don't know how to code in perl - Chris) + my @values1; + my @values2; + my @results; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + my $value1 = $mat_values1->[$i][$j]; + my $value2 = $mat_values2->[$i][$j]; + my $result = $mat_results->[$i][$j]; + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @results, $result ); + } + } + + print "\n\#define ARRAY_SIZE ".($opts{"size"}*$opts{"size"})." \n\n"; + print "\n\#define DIM_SIZE ".$opts{"size"}." \n\n"; + + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@results); + +} + +main(); + diff --git a/mt/bb_matmul/matmul_mi.c b/mt/bb_matmul/matmul_mi.c new file mode 100755 index 0000000..919e2ce --- /dev/null +++ b/mt/bb_matmul/matmul_mi.c @@ -0,0 +1,273 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + + +void __attribute__((noinline)) matmul_msi(const int lda, const data_t A[], const data_t B[], data_t C[] ) { + int i, j, k; + + for (i = 0; i < lda; i += 2) { + for (j = coreid * (lda / ncores); j < (coreid + 1) * (lda / ncores); j += 4) { + //for (j = 0; j < lda; j += 4) { + register data_t c00 = 0, c01 = 0; + register data_t c10 = 0, c11 = 0; + register data_t c20 = 0, c21 = 0; + register data_t c30 = 0, c31 = 0; + + register data_t a0, a1, a2, a3, b0, b1; + for (k = 0; k < lda; k++) { + a0 = A[j*lda + k + 0*lda]; + a1 = A[j*lda + k + 1*lda]; + a2 = A[j*lda + k + 2*lda]; + a3 = A[j*lda + k + 3*lda]; + + b0 = B[k*lda + i + 0]; + b1 = B[k*lda + i + 1]; + /*if (coreid == 0) { + printf("i = %d; j = %d; k = %d\n", i, j, k); + printf("%d += %d * %d; %d += %d * %d\n", (int)c00, (int)a0, (int)b0, (int)c01, (int)a0, (int)b1); + printf("%d += %d * %d; %d += %d * %d\n", (int)c10, (int)a1, (int)b0, (int)c11, (int)a1, (int)b1); + printf("%d += %d * %d; %d += %d * %d\n", (int)c20, (int)a2, (int)b0, (int)c21, (int)a2, (int)b1); + printf("%d += %d * %d; %d += %d * %d\n", (int)c30, (int)a3, (int)b0, (int)c31, (int)a3, (int)b1); + printf("\n"); + }*/ + + c00 += a0 * b0; c01 += a0 * b1; + c10 += a1 * b0; c11 += a1 * b1; + c20 += a2 * b0; c21 += a2 * b1; + c30 += a3 * b0; c31 += a3 * b1; + } + + C[i + j*lda + 0 + 0*lda] = c00; C[i + j*lda + 1 + 0*lda] = c01; + C[i + j*lda + 0 + 1*lda] = c10; C[i + j*lda + 1 + 1*lda] = c11; + C[i + j*lda + 0 + 2*lda] = c20; C[i + j*lda + 1 + 2*lda] = c21; + C[i + j*lda + 0 + 3*lda] = c30; C[i + j*lda + 1 + 3*lda] = c31; + } + } +} + +void __attribute__((noinline)) matmul_mi(const int lda, const data_t A[], const data_t B[], data_t C[] ) { + int i, j, k; + + int curhalf = coreid; + for (i = 0; i < lda; i += 2) { + for (j = coreid * (lda / ncores); j < (coreid + 1) * (lda / ncores); j += 4) { + register float c00 = 0, c01 = 0; + register float c10 = 0, c11 = 0; + register float c20 = 0, c21 = 0; + register float c30 = 0, c31 = 0; + + register float a0, a1, a2, a3, b0, b1; + for (k = curhalf * (lda/2); k < curhalf * (lda/2) + (lda/2); k++) { + a0 = A[j*lda + k + 0*lda]; + a1 = A[j*lda + k + 1*lda]; + a2 = A[j*lda + k + 2*lda]; + a3 = A[j*lda + k + 3*lda]; + + b0 = B[k*lda + i + 0]; + b1 = B[k*lda + i + 1]; + + c00 += a0 * b0; c01 += a0 * b1; + c10 += a1 * b0; c11 += a1 * b1; + c20 += a2 * b0; c21 += a2 * b1; + c30 += a3 * b0; c31 += a3 * b1; + } + + C[i + j*lda + 0 + 0*lda] += c00; C[i + j*lda + 1 + 0*lda] += c01; + C[i + j*lda + 0 + 1*lda] += c10; C[i + j*lda + 1 + 1*lda] += c11; + C[i + j*lda + 0 + 2*lda] += c20; C[i + j*lda + 1 + 2*lda] += c21; + C[i + j*lda + 0 + 3*lda] += c30; C[i + j*lda + 1 + 3*lda] += c31; + } + } + + barrier(); + curhalf++; + curhalf %= ncores; + + for (i = 0; i < lda; i += 2) { + for (j = coreid * (lda / ncores); j < (coreid + 1) * (lda / ncores); j += 4) { + register float c00 = 0, c01 = 0; + register float c10 = 0, c11 = 0; + register float c20 = 0, c21 = 0; + register float c30 = 0, c31 = 0; + + register float a0, a1, a2, a3, b0, b1; + for (k = curhalf * (lda/2); k < curhalf * (lda/2) + (lda/2); k++) { + a0 = A[j*lda + k + 0*lda]; + a1 = A[j*lda + k + 1*lda]; + a2 = A[j*lda + k + 2*lda]; + a3 = A[j*lda + k + 3*lda]; + + b0 = B[k*lda + i + 0]; + b1 = B[k*lda + i + 1]; + + c00 += a0 * b0; c01 += a0 * b1; + c10 += a1 * b0; c11 += a1 * b1; + c20 += a2 * b0; c21 += a2 * b1; + c30 += a3 * b0; c31 += a3 * b1; + } + + C[i + j*lda + 0 + 0*lda] += c00; C[i + j*lda + 1 + 0*lda] += c01; + C[i + j*lda + 0 + 1*lda] += c10; C[i + j*lda + 1 + 1*lda] += c11; + C[i + j*lda + 0 + 2*lda] += c20; C[i + j*lda + 1 + 2*lda] += c21; + C[i + j*lda + 0 + 3*lda] += c30; C[i + j*lda + 1 + 3*lda] += c31; + } + } +} + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + matmul_mi(lda, A, B, C); +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + +// // Execute the provided, naive matmul +// barrier(); +// stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); +// +// +// // verify +// verify(ARRAY_SIZE, results_data, verify_data); +// +// // clear results from the first trial +// size_t i; +// if (coreid == 0) +// for (i=0; i < ARRAY_SIZE; i++) +// results_data[i] = 0; +// barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/bb_vvadd/bb_vvadd.c b/mt/bb_vvadd/bb_vvadd.c new file mode 100755 index 0000000..327da10 --- /dev/null +++ b/mt/bb_vvadd/bb_vvadd.c @@ -0,0 +1,167 @@ +//************************************************************************** +// Vector-vector add benchmark +//-------------------------------------------------------------------------- +// Author : Andrew Waterman +// TA : Christopher Celio +// Student : +// +// This benchmark adds two vectors and writes the results to a +// third vector. The input data (and reference data) should be +// generated using the vvadd_gendata.pl perl script and dumped +// to a file named dataset.h + +// to print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DATA_SIZE, 10*_c/DATA_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %4ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %4ld, correct[%d]= %4ld\n", + i, (long) test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// vvadd function + +//perform in-place vvadd +void __attribute__((noinline)) vvadd(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + size_t i; + + // interleave accesses + for (i = coreid; i < n; i+=ncores) + { + x[i] = x[i] + y[i]; + } +} + +void __attribute__((noinline)) vvadd_opt(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + size_t i; + + for (i = coreid * (n / ncores); i < (coreid + 1) * (n / ncores); i++) { + x[i] = x[i] + y[i]; + } +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[DATA_SIZE]; + + // because we're going to perform an in-place vvadd (and we're going to run + // it a couple of times) let's copy the input data to a temporary results + // array + + size_t i; + if (coreid == 0) + { + for (i = 0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + + + // Execute the provided, terrible vvadd + barrier(); + stats(vvadd(DATA_SIZE, results_data, input2_data); barrier()); + + + // verify + verify(DATA_SIZE, results_data, verify_data); + + // reset results from the first trial + if (coreid == 0) + { + for (i=0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + barrier(); + + + // Execute your faster vvadd + barrier(); + stats(vvadd_opt(DATA_SIZE, results_data, input2_data); barrier()); + +#ifdef DEBUG + printArray("results: ", DATA_SIZE, results_data); + printArray("verify : ", DATA_SIZE, verify_data); +#endif + + // verify + verify(DATA_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/bb_vvadd/dataset.h b/mt/bb_vvadd/dataset.h new file mode 100755 index 0000000..ce9f936 --- /dev/null +++ b/mt/bb_vvadd/dataset.h @@ -0,0 +1,165 @@ + +#define DATA_SIZE 1000 + +static data_t input1_data[DATA_SIZE] = +{ + 0.00, 15.00, 10.00, 3.00, 14.00, 6.00, 2.00, 18.00, 11.00, 15.00, 11.00, 0.00, 17.00, 16.00, 7.00, 13.00, 18.00, 2.00, 2.00, 5.00, + 8.00, 5.00, 12.00, 14.00, 6.00, 12.00, 16.00, 7.00, 9.00, 17.00, 10.00, 10.00, 3.00, 5.00, 14.00, 11.00, 9.00, 12.00, 3.00, 1.00, + 5.00, 4.00, 6.00, 17.00, 17.00, 4.00, 17.00, 15.00, 17.00, 18.00, 3.00, 18.00, 10.00, 6.00, 12.00, 12.00, 3.00, 2.00, 16.00, 1.00, + 5.00, 6.00, 2.00, 17.00, 16.00, 5.00, 10.00, 18.00, 14.00, 4.00, 9.00, 9.00, 7.00, 4.00, 8.00, 13.00, 12.00, 6.00, 4.00, 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0.00, 14.00, 1.00, 3.00, 16.00, 2.00, 14.00, 6.00, 17.00, + 17.00, 6.00, 9.00, 8.00, 9.00, 12.00, 5.00, 14.00, 2.00, 16.00, 17.00, 5.00, 4.00, 0.00, 14.00, 10.00, 6.00, 15.00, 15.00, 14.00, + 5.00, 1.00, 8.00, 8.00, 13.00, 8.00, 0.00, 4.00, 7.00, 9.00, 13.00, 16.00, 9.00, 14.00, 9.00, 13.00, 0.00, 7.00, 16.00, 17.00, + 18.00, 10.00, 13.00, 8.00, 4.00, 9.00, 13.00, 0.00, 6.00, 4.00, 6.00, 4.00, 10.00, 14.00, 14.00, 9.00, 15.00, 15.00, 3.00, 3.00, + 12.00, 0.00, 3.00, 2.00, 16.00, 1.00, 7.00, 2.00, 16.00, 2.00, 2.00, 0.00, 14.00, 3.00, 3.00, 10.00, 4.00, 10.00, 3.00, 4.00, + 13.00, 14.00, 13.00, 0.00, 1.00, 15.00, 16.00, 9.00, 7.00, 9.00, 0.00, 11.00, 1.00, 1.00, 15.00, 17.00, 12.00, 16.00, 15.00, 4.00, + 8.00, 2.00, 10.00, 10.00, 0.00, 18.00, 17.00, 7.00, 7.00, 2.00, 10.00, 17.00, 9.00, 7.00, 5.00, 3.00, 8.00, 11.00, 6.00, 9.00, + 13.00, 0.00, 3.00, 5.00, 2.00, 5.00, 7.00, 4.00, 9.00, 2.00, 13.00, 17.00, 14.00, 12.00, 1.00, 3.00, 7.00, 17.00, 0.00, 14.00, + 16.00, 2.00, 2.00, 1.00, 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22.00, 10.00, + 24.00, 2.00, 17.00, 9.00, 22.00, 30.00, 24.00, 33.00, 25.00, 17.00, 23.00, 9.00, 13.00, 15.00, 23.00, 10.00, 1.00, 22.00, 17.00, 10.00, + 32.00, 24.00, 26.00, 4.00, 15.00, 0.00, 27.00, 23.00, 28.00, 23.00, 30.00, 7.00, 16.00, 33.00, 20.00, 14.00, 23.00, 14.00, 20.00, 14.00, + 7.00, 25.00, 24.00, 12.00, 29.00, 16.00, 17.00, 20.00, 29.00, 16.00, 13.00, 18.00, 26.00, 18.00, 18.00, 17.00, 13.00, 29.00, 14.00, 17.00, + 24.00, 16.00, 21.00, 14.00, 26.00, 9.00, 11.00, 28.00, 25.00, 15.00, 15.00, 12.00, 6.00, 14.00, 27.00, 14.00, 24.00, 18.00, 18.00, 14.00, + 32.00, 21.00, 26.00, 13.00, 6.00, 24.00, 22.00, 27.00, 17.00, 26.00, 19.00, 21.00, 19.00, 9.00, 21.00, 25.00, 17.00, 27.00, 15.00, 18.00 +}; + diff --git a/mt/bb_vvadd/vvadd_gendata.pl b/mt/bb_vvadd/vvadd_gendata.pl new file mode 100755 index 0000000..a9fceac --- /dev/null +++ b/mt/bb_vvadd/vvadd_gendata.pl @@ -0,0 +1,139 @@ +#!/usr/bin/perl -w +#========================================================================== +# vvadd_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the vvadd benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: vvadd_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[DATA_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3.2f",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + my @values1; + my @values2; + my @sum; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + my $value1 = int(rand(19)); + my $value2 = int(rand(19)); + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @sum, $value1 + $value2 ); + } + + + print "\n\#define DATA_SIZE ".$opts{"size"}." \n\n"; + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@sum ); + +} + +main(); + diff --git a/mt/bc_matmul/bc_matmul.c b/mt/bc_matmul/bc_matmul.c new file mode 100755 index 0000000..088f38f --- /dev/null +++ b/mt/bc_matmul/bc_matmul.c @@ -0,0 +1,287 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + +#define REG_I 8 +#define REG_J 2 +//#define BLOCK_I 32 +#define BLOCK_J 16 +#define BLOCK_K 16 +#define LDA 32 +#define NCORES 2 +#define MIN(X,Y) (X < Y ? X : Y) + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + + int i, j, k, ri, rj, ii, jj, kk; + data_t *Aj, *Cj, *Bi; + data_t c[REG_I][REG_J], a[REG_J], b[REG_I]; + size_t start = coreid * (LDA / NCORES), end = (coreid == NCORES - 1 ? LDA : (coreid + 1) * (LDA / NCORES)); + + /* if (coreid > 0) { */ + /* return; */ + /* } */ + /* start = 0, end = lda; */ + if (ncores == NCORES && lda == LDA) { + for (jj = start; jj < end; jj += BLOCK_J) + for (kk = 0; kk < LDA; kk += BLOCK_K) + //for (ii = 0; ii < LDA; ii += BLOCK_I) + for (j = jj; j < MIN(end, jj + BLOCK_J); j += REG_J) { + Aj = A + j*LDA; + Cj = C + j*LDA; + for (i = 0; i < LDA; i += REG_I) { + /* Load C in register blocks. */ + Bi = B + i; + for (ri = 0; ri < REG_I; ri++) { + for (rj = 0; rj < REG_J; rj++) { + c[ri][rj] = Cj[i + ri + ( rj)*LDA]; + } + } + + + for (k = kk; k < MIN(LDA, kk + BLOCK_K); k++) { + /* Load a,b in register blocks. */ + /* for (rj = 0; rj < REG_J; rj++) { + a[rj] = A[(j + rj)*LDA + k]; + }*/ + /* for (ri = 0; ri < REG_I; ri++) { */ + /* b[ri] = Bi[k*LDA + ri]; */ + /* } */ + /* /\* Compute C in register blocks. *\/ */ + /* for (rj = 0; rj < REG_J; rj++) { */ + /* a[rj] = Aj[( rj)*LDA + k]; */ + /* for (ri = 0; ri < REG_I; ri++) { */ + /* c[ri][rj] += a[rj] * b[ri]; */ + /* } */ + /* } */ + a[0] = Aj[k]; + a[1] = Aj[k + LDA]; + b[0] = Bi[k*LDA]; + b[1] = Bi[k*LDA + 1]; + b[2] = Bi[k*LDA + 2]; + b[3] = Bi[k*LDA + 3]; + b[4] = Bi[k*LDA + 4]; + b[5] = Bi[k*LDA + 5]; + b[6] = Bi[k*LDA + 6]; + b[7] = Bi[k*LDA + 7]; + + + c[0][0] += b[0] * a[0]; + c[0][1] += b[0] * a[1]; + c[1][0] += b[1] * a[0]; + c[1][1] += b[1] * a[1]; + c[2][0] += b[2] * a[0]; + c[2][1] += b[2] * a[1]; + c[3][0] += b[3] * a[0]; + c[3][1] += b[3] * a[1]; + c[4][0] += b[4] * a[0]; + c[4][1] += b[4] * a[1]; + c[5][0] += b[5] * a[0]; + c[5][1] += b[5] * a[1]; + c[6][0] += b[6] * a[0]; + c[6][1] += b[6] * a[1]; + c[7][0] += b[7] * a[0]; + c[7][1] += b[7] * a[1]; + + + /* c[0][0] += b[0] * a[0]; */ + /* c[1][1] += b[1] * a[1]; */ + /* c[2][0] += b[2] * a[0]; */ + /* c[3][1] += b[3] * a[1]; */ + /* c[4][0] += b[4] * a[0]; */ + /* c[5][1] += b[5] * a[1]; */ + /* c[6][0] += b[6] * a[0]; */ + /* c[7][1] += b[7] * a[1]; */ + /* c[0][0] += b[0] * a[0]; */ + /* c[1][1] += b[1] * a[1]; */ + /* c[2][0] += b[2] * a[0]; */ + /* c[3][1] += b[3] * a[1]; */ + /* c[4][0] += b[4] * a[0]; */ + /* c[5][1] += b[5] * a[1]; */ + /* c[6][0] += b[6] * a[0]; */ + /* c[7][1] += b[7] * a[1]; */ + + } + + /* store C in register blocks. */ + for (ri = 0; ri < REG_I; ri++) { + for (rj = 0; rj < REG_J; rj++) { + Cj[i + ri + (rj)*LDA] = c[ri][rj]; + } + } + } + + + + + } + /* We only care about performance for 32x32 matrices and 2 cores. Otherwise just naive mat_mul */ + } else { + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + for ( k = 0; k < lda; k++ ) + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + +// /* // Execute the provided, naive matmul */ +// barrier(); +// stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); +// +// +// // verify +// verify(ARRAY_SIZE, results_data, verify_data); +// +// // clear results from the first trial +// size_t i; +// if (coreid == 0) +// for (i=0; i < ARRAY_SIZE; i++) +// results_data[i] = 0; +// barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/bc_matmul/dataset.h b/mt/bc_matmul/dataset.h new file mode 100755 index 0000000..dde3ee4 --- /dev/null +++ b/mt/bc_matmul/dataset.h @@ -0,0 +1,174 @@ + +#define ARRAY_SIZE 1024 + + +#define DIM_SIZE 32 + +static data_t input1_data[ARRAY_SIZE] = +{ + 0, 3, 2, 0, 3, 1, 0, 3, 2, 3, 2, 0, 3, 3, 1, 2, 3, 0, 0, 1, + 1, 1, 2, 3, 1, 2, 3, 1, 1, 3, 2, 2, 0, 1, 3, 2, 2, 2, 0, 0, + 1, 0, 1, 3, 3, 0, 3, 3, 3, 3, 0, 3, 2, 1, 2, 2, 0, 0, 3, 0, + 1, 1, 0, 3, 3, 1, 2, 3, 3, 0, 1, 2, 1, 0, 1, 2, 2, 1, 0, 3, + 1, 0, 2, 2, 1, 1, 1, 1, 1, 1, 2, 0, 3, 1, 1, 2, 2, 3, 3, 1, + 3, 2, 0, 0, 0, 3, 3, 3, 2, 1, 2, 3, 1, 0, 0, 0, 0, 1, 2, 2, + 1, 1, 3, 3, 3, 1, 1, 2, 3, 1, 3, 3, 2, 3, 2, 1, 2, 3, 0, 2, + 2, 1, 1, 0, 0, 0, 0, 0, 1, 3, 3, 1, 1, 1, 2, 2, 3, 2, 1, 1, + 1, 1, 3, 0, 2, 2, 1, 3, 2, 1, 2, 2, 1, 3, 1, 3, 1, 3, 2, 3, + 1, 2, 1, 3, 2, 2, 0, 1, 0, 0, 1, 2, 3, 3, 1, 0, 0, 0, 3, 1, + 2, 3, 2, 3, 2, 0, 0, 0, 0, 0, 3, 1, 3, 0, 0, 0, 3, 1, 1, 1, + 1, 2, 1, 2, 3, 2, 0, 0, 2, 2, 3, 0, 3, 0, 0, 3, 0, 3, 1, 3, + 3, 1, 1, 1, 2, 2, 1, 3, 0, 3, 3, 1, 0, 0, 3, 2, 1, 3, 3, 3, + 1, 0, 1, 1, 2, 1, 0, 1, 1, 2, 2, 3, 1, 2, 2, 2, 0, 1, 3, 3, + 3, 2, 2, 1, 0, 1, 2, 0, 1, 1, 1, 1, 2, 3, 2, 2, 3, 3, 0, 0, + 2, 0, 0, 0, 3, 0, 1, 0, 3, 0, 0, 0, 3, 0, 0, 2, 0, 2, 0, 0, + 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 0, 2, 0, 0, 3, 3, 2, 3, 3, 0, + 1, 0, 2, 2, 0, 3, 3, 1, 1, 0, 2, 3, 2, 1, 1, 0, 1, 2, 1, 2, + 2, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 3, 3, 2, 0, 0, 1, 3, 0, 3, + 3, 0, 0, 0, 0, 3, 3, 1, 0, 0, 3, 3, 2, 1, 2, 1, 3, 3, 0, 1, + 3, 0, 2, 3, 1, 3, 3, 3, 3, 3, 0, 1, 1, 3, 0, 2, 2, 3, 1, 2, + 2, 2, 1, 3, 3, 0, 3, 0, 0, 2, 0, 2, 3, 0, 1, 3, 2, 2, 0, 0, + 2, 3, 0, 2, 2, 2, 3, 1, 0, 3, 3, 3, 3, 1, 0, 3, 3, 2, 0, 3, + 2, 0, 3, 0, 2, 0, 0, 2, 2, 1, 0, 2, 3, 1, 1, 1, 1, 2, 3, 3, + 3, 0, 0, 3, 3, 3, 2, 3, 3, 1, 2, 2, 3, 1, 2, 1, 1, 3, 0, 1, + 2, 0, 2, 0, 0, 1, 3, 2, 0, 1, 3, 2, 3, 3, 0, 0, 0, 1, 0, 3, + 3, 2, 2, 2, 1, 1, 2, 2, 1, 3, 2, 0, 1, 3, 2, 0, 2, 1, 3, 0, + 0, 0, 1, 3, 3, 2, 2, 2, 3, 1, 0, 0, 1, 1, 2, 1, 3, 1, 1, 2, + 2, 3, 2, 3, 0, 2, 3, 3, 0, 3, 0, 0, 1, 0, 0, 0, 1, 3, 1, 1, + 2, 3, 2, 1, 1, 2, 2, 2, 3, 0, 1, 1, 2, 1, 2, 0, 2, 3, 1, 3, + 0, 1, 1, 3, 0, 2, 3, 0, 1, 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 2, + 3, 0, 1, 1, 1, 1, 2, 0, 1, 2, 0, 1, 1, 1, 0, 1, 3, 2, 3, 1, + 0, 2, 1, 2, 1, 3, 3, 1, 0, 2, 2, 3, 1, 3, 1, 3, 0, 1, 0, 3, + 0, 3, 2, 0, 3, 3, 3, 0, 3, 2, 2, 2, 1, 3, 0, 0, 1, 1, 3, 0, + 1, 2, 1, 0, 0, 0, 3, 2, 2, 0, 0, 2, 1, 3, 0, 0, 3, 0, 0, 2, + 1, 1, 2, 2, 1, 3, 2, 2, 1, 1, 2, 1, 3, 2, 1, 1, 3, 0, 1, 3, + 3, 2, 2, 1, 0, 3, 2, 2, 2, 3, 0, 1, 3, 3, 2, 3, 0, 3, 2, 3, + 1, 1, 0, 0, 0, 2, 3, 0, 3, 0, 1, 1, 3, 1, 3, 2, 1, 1, 2, 1, + 3, 2, 0, 2, 1, 0, 2, 3, 2, 3, 2, 1, 2, 3, 0, 0, 1, 1, 0, 0, + 2, 1, 0, 1, 2, 2, 2, 2, 0, 3, 3, 1, 0, 0, 0, 0, 3, 1, 1, 0, + 0, 0, 0, 1, 2, 2, 1, 3, 0, 2, 3, 2, 3, 2, 2, 1, 2, 2, 3, 3, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 2, 2, 3, 1, 1, 1, 0, 0, 0, 3, 0, + 1, 0, 3, 1, 1, 3, 0, 1, 2, 2, 0, 0, 3, 3, 3, 3, 2, 1, 0, 0, + 1, 0, 2, 0, 1, 1, 0, 0, 3, 3, 2, 1, 1, 1, 0, 1, 1, 2, 2, 1, + 1, 2, 0, 3, 1, 3, 1, 0, 3, 0, 3, 1, 1, 1, 0, 2, 0, 3, 1, 0, + 1, 0, 2, 0, 2, 3, 3, 3, 1, 2, 3, 2, 2, 0, 1, 1, 0, 3, 3, 1, + 3, 3, 2, 0, 2, 0, 2, 2, 3, 3, 3, 0, 2, 3, 3, 1, 3, 2, 2, 2, + 0, 2, 3, 0, 2, 0, 3, 2, 2, 1, 1, 0, 2, 2, 2, 0, 2, 2, 0, 1, + 3, 2, 1, 3, 2, 2, 0, 3, 3, 1, 2, 2, 0, 0, 3, 2, 1, 2, 2, 1, + 3, 1, 2, 0, 0, 1, 1, 2, 1, 3, 2, 2, 3, 0, 2, 1, 3, 2, 1, 3, + 2, 3, 3, 1, 2, 1, 2, 2, 0, 0, 0, 3, 0, 2, 3, 1, 0, 0, 2, 3, + 3, 2, 2, 1 +}; + +static data_t input2_data[ARRAY_SIZE] = +{ + 1, 1, 0, 3, 1, 2, 0, 0, 0, 0, 0, 2, 1, 2, 3, 0, 0, 3, 3, 2, + 2, 1, 2, 3, 3, 0, 2, 2, 1, 1, 2, 2, 0, 2, 2, 1, 2, 3, 2, 2, + 3, 3, 2, 2, 1, 1, 1, 1, 2, 1, 2, 2, 3, 3, 3, 0, 0, 3, 2, 3, + 2, 3, 1, 2, 1, 1, 2, 2, 0, 1, 0, 3, 2, 1, 1, 1, 2, 0, 1, 2, + 2, 0, 2, 1, 3, 3, 2, 3, 2, 0, 3, 1, 3, 3, 2, 0, 1, 0, 1, 1, + 2, 2, 1, 1, 2, 2, 1, 2, 3, 3, 1, 3, 2, 2, 2, 3, 3, 1, 0, 2, + 1, 0, 0, 0, 1, 1, 2, 0, 3, 2, 3, 3, 0, 2, 3, 1, 0, 0, 2, 1, + 2, 0, 2, 1, 1, 2, 3, 1, 3, 2, 1, 0, 0, 0, 0, 0, 2, 2, 0, 2, + 1, 2, 0, 3, 2, 2, 0, 0, 3, 2, 1, 1, 3, 0, 2, 0, 0, 1, 0, 2, + 3, 3, 1, 3, 3, 0, 0, 2, 2, 0, 0, 0, 1, 0, 0, 1, 3, 0, 2, 1, + 3, 2, 2, 1, 3, 2, 0, 1, 2, 2, 3, 2, 1, 1, 1, 1, 3, 0, 1, 3, + 2, 2, 3, 1, 1, 2, 0, 2, 1, 1, 2, 3, 1, 0, 1, 0, 1, 1, 0, 0, + 2, 0, 3, 0, 3, 0, 3, 2, 2, 3, 3, 2, 1, 0, 2, 2, 1, 1, 0, 3, + 3, 2, 2, 0, 0, 3, 0, 1, 0, 0, 1, 2, 0, 1, 3, 0, 1, 2, 2, 0, + 0, 3, 0, 3, 0, 1, 1, 2, 0, 0, 0, 3, 0, 0, 2, 1, 1, 1, 0, 2, + 1, 3, 1, 2, 0, 3, 0, 3, 1, 3, 0, 0, 2, 2, 2, 2, 3, 3, 2, 1, + 2, 2, 1, 1, 2, 2, 2, 2, 0, 3, 0, 0, 2, 0, 1, 2, 0, 3, 2, 3, + 2, 0, 2, 1, 2, 1, 0, 2, 1, 1, 3, 2, 2, 3, 1, 0, 3, 3, 1, 0, + 3, 2, 2, 0, 0, 3, 0, 0, 2, 0, 3, 2, 3, 1, 1, 0, 0, 2, 3, 0, + 0, 1, 1, 1, 2, 1, 3, 2, 1, 3, 0, 1, 3, 3, 1, 1, 1, 1, 1, 1, + 0, 0, 2, 3, 2, 2, 2, 3, 2, 3, 1, 2, 3, 2, 2, 2, 0, 1, 3, 0, + 1, 1, 0, 1, 0, 1, 1, 3, 3, 1, 2, 2, 3, 2, 0, 2, 2, 0, 1, 3, + 0, 1, 3, 2, 1, 3, 3, 2, 0, 1, 3, 2, 0, 2, 1, 1, 0, 3, 0, 1, + 1, 1, 1, 1, 3, 0, 0, 1, 0, 2, 3, 1, 3, 0, 2, 1, 3, 0, 3, 0, + 3, 2, 2, 0, 0, 2, 1, 3, 3, 2, 3, 2, 2, 1, 2, 2, 3, 0, 3, 2, + 2, 0, 3, 2, 3, 2, 0, 0, 1, 2, 0, 0, 2, 0, 0, 3, 3, 2, 0, 0, + 3, 3, 0, 2, 3, 1, 0, 1, 0, 2, 1, 0, 2, 1, 0, 1, 0, 3, 0, 2, + 2, 3, 0, 0, 2, 1, 0, 1, 0, 0, 0, 2, 2, 3, 2, 0, 3, 3, 2, 1, + 0, 0, 3, 1, 2, 3, 3, 1, 0, 3, 1, 1, 0, 3, 3, 3, 2, 2, 2, 0, + 1, 2, 0, 3, 0, 1, 0, 1, 1, 0, 1, 2, 0, 3, 2, 0, 1, 2, 2, 0, + 2, 0, 0, 1, 0, 3, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 1, 1, 1, 0, + 2, 1, 1, 3, 2, 0, 2, 1, 1, 0, 2, 2, 1, 3, 0, 2, 1, 0, 1, 2, + 0, 1, 3, 2, 3, 2, 1, 0, 2, 0, 2, 2, 3, 1, 1, 3, 2, 3, 2, 2, + 0, 2, 0, 0, 0, 3, 2, 0, 2, 2, 3, 3, 3, 2, 1, 2, 0, 0, 3, 0, + 2, 0, 3, 2, 2, 3, 0, 3, 2, 1, 2, 2, 1, 2, 0, 0, 3, 1, 2, 0, + 2, 3, 2, 2, 1, 1, 1, 3, 3, 3, 3, 3, 1, 3, 0, 1, 3, 2, 2, 1, + 0, 1, 1, 2, 1, 2, 3, 1, 2, 2, 1, 2, 1, 1, 0, 3, 3, 1, 1, 3, + 2, 0, 0, 1, 2, 0, 1, 3, 1, 0, 0, 2, 2, 3, 3, 0, 2, 3, 2, 1, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 3, 3, 3, 1, 3, 0, 3, 1, 1, 2, 2, + 2, 1, 0, 3, 2, 3, 0, 2, 3, 2, 3, 1, 2, 3, 3, 1, 2, 1, 0, 0, + 0, 3, 3, 3, 3, 0, 3, 3, 3, 3, 2, 1, 0, 3, 0, 3, 2, 3, 1, 0, + 0, 1, 3, 1, 0, 2, 2, 3, 1, 0, 2, 1, 1, 3, 1, 1, 3, 1, 2, 1, + 0, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 3, 3, 1, 0, 3, 1, 1, 2, 0, + 0, 0, 2, 3, 3, 2, 2, 3, 0, 2, 3, 1, 3, 3, 0, 2, 1, 2, 2, 2, + 1, 0, 1, 3, 2, 3, 1, 1, 2, 1, 1, 0, 0, 2, 3, 2, 1, 0, 3, 1, + 3, 0, 1, 1, 2, 2, 1, 3, 3, 1, 1, 0, 0, 3, 3, 0, 0, 0, 0, 0, + 3, 1, 3, 0, 0, 0, 3, 3, 2, 1, 3, 0, 1, 3, 1, 1, 1, 0, 1, 0, + 1, 2, 2, 2, 3, 3, 0, 2, 3, 2, 1, 3, 3, 1, 1, 3, 0, 3, 3, 2, + 1, 1, 2, 0, 3, 0, 1, 2, 1, 1, 0, 0, 1, 2, 2, 0, 3, 1, 1, 1, + 3, 3, 3, 1, 0, 3, 3, 2, 2, 2, 1, 2, 0, 1, 1, 3, 0, 3, 1, 0, + 2, 2, 0, 1, 2, 3, 2, 1, 2, 0, 3, 2, 1, 3, 0, 1, 2, 0, 3, 0, + 1, 1, 2, 1 +}; + +static data_t verify_data[ARRAY_SIZE] = +{ + 72, 75, 88, 101, 80, 88, 73, 75, 80, 81, 58, 75, 86, 65, 60, 80, 84, 83, 87, 83, + 108, 93, 85, 76, 72, 98, 79, 86, 80, 96, 91, 85, 72, 64, 70, 83, 68, 92, 51, 54, + 85, 85, 60, 58, 90, 64, 55, 69, 72, 48, 94, 77, 91, 83, 70, 69, 67, 77, 59, 50, + 67, 74, 77, 67, 67, 62, 72, 71, 68, 79, 54, 61, 67, 61, 55, 62, 78, 60, 53, 64, + 67, 69, 99, 68, 88, 60, 66, 63, 70, 62, 65, 50, 53, 66, 70, 72, 75, 78, 85, 95, + 71, 89, 70, 68, 86, 88, 58, 77, 84, 70, 65, 68, 73, 75, 91, 96, 105, 92, 76, 68, + 86, 69, 80, 59, 73, 83, 88, 75, 64, 63, 71, 99, 77, 77, 69, 55, 80, 73, 54, 73, + 87, 78, 60, 69, 65, 78, 86, 89, 95, 92, 63, 69, 89, 61, 80, 65, 70, 77, 89, 77, + 79, 79, 73, 92, 64, 81, 60, 78, 81, 80, 61, 63, 89, 65, 56, 83, 77, 65, 102, 70, + 98, 86, 96, 68, 72, 89, 73, 73, 70, 89, 84, 76, 48, 61, 63, 70, 70, 79, 50, 53, + 64, 63, 43, 51, 59, 62, 43, 63, 55, 77, 79, 74, 75, 74, 64, 44, 65, 69, 72, 66, + 54, 71, 74, 72, 69, 76, 68, 89, 94, 75, 65, 53, 85, 79, 65, 74, 82, 73, 58, 70, + 84, 77, 99, 72, 92, 84, 78, 62, 59, 83, 71, 74, 63, 85, 80, 78, 71, 72, 79, 83, + 73, 82, 60, 85, 76, 82, 60, 70, 82, 68, 54, 85, 84, 70, 86, 74, 100, 88, 98, 68, + 67, 87, 69, 73, 68, 88, 76, 71, 47, 43, 47, 80, 54, 65, 40, 37, 59, 53, 33, 48, + 62, 40, 36, 55, 36, 62, 53, 57, 70, 69, 45, 43, 53, 61, 42, 57, 56, 63, 51, 47, + 59, 75, 64, 89, 83, 75, 59, 75, 91, 92, 58, 64, 83, 74, 58, 60, 76, 66, 97, 69, + 90, 95, 92, 64, 78, 75, 77, 73, 65, 78, 82, 75, 47, 54, 59, 71, 59, 56, 53, 42, + 60, 55, 40, 51, 60, 46, 36, 59, 46, 57, 67, 43, 51, 53, 53, 38, 54, 56, 55, 48, + 41, 46, 63, 63, 80, 77, 89, 102, 89, 98, 74, 86, 98, 93, 63, 76, 98, 77, 48, 101, + 86, 88, 100, 82, 102, 90, 95, 75, 86, 103, 83, 98, 80, 104, 98, 86, 71, 74, 80, 90, + 86, 87, 73, 70, 81, 83, 55, 66, 90, 66, 58, 84, 77, 84, 93, 72, 99, 75, 85, 65, + 70, 89, 71, 82, 64, 79, 82, 80, 67, 73, 86, 101, 78, 97, 66, 64, 84, 80, 55, 64, + 79, 73, 51, 79, 89, 68, 94, 77, 109, 102, 82, 61, 66, 93, 88, 70, 82, 82, 85, 69, + 69, 72, 66, 97, 85, 90, 70, 59, 76, 89, 53, 56, 90, 79, 71, 64, 70, 67, 100, 92, + 106, 89, 83, 78, 73, 80, 70, 72, 65, 70, 92, 88, 57, 76, 55, 85, 66, 80, 61, 63, + 63, 78, 54, 58, 71, 73, 54, 63, 63, 62, 89, 76, 86, 81, 83, 54, 70, 81, 78, 64, + 56, 72, 74, 81, 75, 63, 68, 89, 65, 77, 58, 68, 75, 83, 52, 62, 82, 63, 55, 75, + 51, 70, 95, 66, 83, 77, 86, 61, 64, 77, 48, 70, 66, 82, 72, 75, 79, 71, 72, 89, + 78, 78, 66, 59, 91, 80, 55, 64, 79, 68, 54, 71, 67, 75, 87, 84, 100, 101, 76, 58, + 74, 82, 61, 74, 75, 97, 85, 79, 61, 55, 69, 68, 72, 65, 52, 64, 80, 73, 48, 54, + 71, 66, 42, 61, 66, 63, 92, 64, 85, 77, 73, 54, 74, 73, 76, 66, 62, 79, 85, 70, + 71, 84, 87, 81, 88, 86, 77, 77, 93, 88, 78, 71, 101, 89, 58, 84, 95, 81, 89, 97, + 104, 79, 83, 76, 90, 81, 91, 74, 70, 76, 91, 80, 51, 48, 56, 69, 47, 63, 54, 42, + 63, 63, 42, 52, 66, 56, 39, 59, 61, 52, 59, 63, 62, 68, 57, 35, 67, 58, 56, 52, + 61, 63, 60, 47, 85, 75, 89, 106, 88, 95, 74, 82, 107, 107, 64, 78, 98, 90, 62, 91, + 79, 87, 111, 84, 104, 106, 96, 68, 94, 99, 81, 89, 79, 105, 95, 86, 65, 63, 77, 89, + 66, 88, 56, 73, 82, 92, 41, 62, 85, 66, 50, 81, 57, 71, 77, 78, 86, 89, 77, 53, + 67, 78, 61, 63, 72, 82, 69, 66, 59, 46, 55, 70, 56, 64, 45, 50, 65, 64, 42, 56, + 78, 49, 51, 52, 38, 56, 72, 55, 73, 72, 61, 50, 63, 60, 47, 57, 55, 73, 53, 68, + 85, 88, 91, 96, 82, 89, 73, 76, 87, 86, 67, 69, 96, 84, 57, 89, 87, 89, 99, 88, + 104, 90, 85, 75, 88, 92, 85, 75, 74, 87, 103, 94, 55, 48, 56, 65, 72, 50, 45, 51, + 63, 62, 47, 57, 79, 53, 36, 63, 54, 68, 71, 59, 63, 61, 63, 41, 50, 73, 57, 59, + 56, 76, 73, 65, 61, 64, 61, 79, 53, 73, 57, 44, 61, 59, 59, 56, 81, 59, 49, 62, + 65, 55, 69, 72, 79, 70, 58, 57, 68, 61, 62, 50, 57, 60, 66, 66, 63, 77, 81, 89, + 85, 81, 76, 73, 78, 95, 59, 70, 81, 77, 46, 79, 78, 79, 83, 81, 84, 82, 85, 48, + 74, 85, 85, 74, 74, 80, 80, 74, 60, 76, 80, 97, 88, 93, 66, 66, 73, 84, 56, 70, + 90, 63, 58, 78, 73, 93, 90, 78, 94, 88, 82, 67, 85, 70, 81, 86, 74, 82, 88, 82, + 68, 73, 75, 91, 78, 97, 71, 66, 74, 85, 50, 59, 86, 77, 70, 74, 75, 74, 99, 82, + 99, 91, 86, 65, 80, 77, 72, 69, 60, 78, 90, 87, 79, 69, 74, 98, 70, 86, 81, 67, + 69, 78, 48, 65, 88, 70, 70, 70, 69, 72, 96, 90, 99, 82, 81, 76, 98, 73, 74, 71, + 69, 73, 94, 89 +}; + diff --git a/mt/bc_matmul/matmul_gendata.pl b/mt/bc_matmul/matmul_gendata.pl new file mode 100755 index 0000000..f21bb46 --- /dev/null +++ b/mt/bc_matmul/matmul_gendata.pl @@ -0,0 +1,200 @@ +#!/usr/bin/perl -w +#========================================================================== +# matmul_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the matmul benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: matmul_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[ARRAY_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3d",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + + + +#-------------------------------------------------------------------------- +# Matmul +#-------------------------------------------------------------------------- + +# http://answers.oreilly.com/topic/418-how-to-multiply-matrices-in-perl/ + +sub mmult { + my ($m1,$m2) = @_; + my ($m1rows,$m1cols) = matdim($m1); + my ($m2rows,$m2cols) = matdim($m2); + + my $result = [ ]; + my ($i, $j, $k); + + for $i (range($m1rows)) { + for $j (range($m2cols)) { + for $k (range($m1cols)) { + $result->[$i][$j] += $m1->[$i][$k] * $m2->[$k][$j]; + } + } + } + return $result; +} + +sub range { 0 .. ($_[0] - 1) } + + +sub veclen { + my $ary_ref = $_[0]; + my $type = ref $ary_ref; + if ($type ne "ARRAY") { die "$type is bad array ref for $ary_ref" } + return scalar(@$ary_ref); +} + +sub matdim { + my $matrix = $_[0]; + my $rows = veclen($matrix); + my $cols = veclen($matrix->[0]); + return ($rows, $cols); +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + # create random input arrays + my $mat_values1; + my $mat_values2; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + $mat_values1->[$i][$j] = int(rand(4)); + $mat_values2->[$i][$j] = int(rand(4)); + } + } + + # perform matmul + my $mat_results = mmult( $mat_values1, $mat_values2 ); + + # translate 2d arrays to 1d-somethings (I don't know how to code in perl - Chris) + my @values1; + my @values2; + my @results; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + my $value1 = $mat_values1->[$i][$j]; + my $value2 = $mat_values2->[$i][$j]; + my $result = $mat_results->[$i][$j]; + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @results, $result ); + } + } + + print "\n\#define ARRAY_SIZE ".($opts{"size"}*$opts{"size"})." \n\n"; + print "\n\#define DIM_SIZE ".$opts{"size"}." \n\n"; + + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@results); + +} + +main(); + diff --git a/mt/bc_matmul/matmul_mi.c b/mt/bc_matmul/matmul_mi.c new file mode 100755 index 0000000..86bd562 --- /dev/null +++ b/mt/bc_matmul/matmul_mi.c @@ -0,0 +1,318 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + +#define REG_I 8 +#define REG_J 2 +#define BLOCK_I 32 +#define BLOCK_J 16 +#define BLOCK_K 16 +#define LDA 32 +#define NCORES 2 +#define MIN(X,Y) (X < Y ? X : Y) + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + + int i, j, k, ri, rj, ii, jj, kk; + data_t *Aj, *Cj, *Bi; + data_t c[REG_I][REG_J], a[REG_J], b[REG_I]; + size_t start = coreid * (LDA / NCORES), end = (coreid == NCORES - 1 ? LDA : (coreid + 1) * (LDA / NCORES)); + + /* if (coreid > 0) { */ + /* return; */ + /* } */ + /* start = 0, end = lda; */ + if (ncores == NCORES && lda == LDA) { + for (jj = start; jj < end; jj += BLOCK_J) { + int kk_start= (coreid == 0 ? 0 : LDA/2) ,kk_end = (coreid == 0 ? LDA/2 : LDA); + for (kk = kk_start; kk < kk_end; kk += BLOCK_K) { + // for (ii = 0; ii < LDA; ii += BLOCK_I) + for (j = jj; j < MIN(end, jj + BLOCK_J); j += REG_J) { + Aj = A + j*LDA; + Cj = C + j*LDA; + for (i = 0; i < LDA/*, ii + BLOCK_I)*/; i += REG_I) { + /* Load C in register blocks. */ + Bi = B + i; + for (ri = 0; ri < REG_I; ri++) { + for (rj = 0; rj < REG_J; rj++) { + c[ri][rj] = Cj[i + ri + ( rj)*LDA]; + } + } + + + for (k = kk; k < MIN(LDA, kk + BLOCK_K); k++) { + for (ri = 0; ri < REG_I; ri++) { + b[ri] = Bi[k*LDA + ri]; + } + /* Compute C in register blocks. */ + for (rj = 0; rj < REG_J; rj++) { + a[rj] = Aj[(rj)*LDA + k]; + for (ri = 0; ri < REG_I; ri++) { + c[ri][rj] += a[rj] * b[ri]; + } + } + } + + /* store C in register blocks. */ + for (ri = 0; ri < REG_I; ri++) { + for (rj = 0; rj < REG_J; rj++) { + Cj[i + ri + ( rj)*LDA] = c[ri][rj]; + } + } + } + } + /* barrier(); */ + + /* kk_start= (coreid == 1 ? 0 : LDA/2); */ + /* kk_end = (coreid == 1 ? LDA/2 : LDA); */ + /* for (kk = kk_start; kk < kk_end; kk += BLOCK_K) { */ + /* // for (ii = 0; ii < LDA; ii += BLOCK_I) */ + /* for (j = jj; j < MIN(end, jj + BLOCK_J); j += REG_J) { */ + /* Aj = A + j*LDA; */ + /* Cj = C + j*LDA; */ + /* for (i = 0; i < LDA/\*, ii + BLOCK_I)*\/; i += REG_I) { */ + /* /\* Load C in register blocks. *\/ */ + /* Bi = B + i; */ + /* for (ri = 0; ri < REG_I; ri++) { */ + /* for (rj = 0; rj < REG_J; rj++) { */ + /* c[ri][rj] = Cj[i + ri + ( rj)*LDA]; */ + /* } */ + /* } */ + + + /* for (k = kk; k < MIN(LDA, kk + BLOCK_K); k++) { */ + /* for (ri = 0; ri < REG_I; ri++) { */ + /* b[ri] = Bi[k*LDA + ri]; */ + /* } */ + /* /\* Compute C in register blocks. *\/ */ + /* for (rj = 0; rj < REG_J; rj++) { */ + /* a[rj] = Aj[(rj)*LDA + k]; */ + /* for (ri = 0; ri < REG_I; ri++) { */ + /* c[ri][rj] += a[rj] * b[ri]; */ + /* } */ + /* } */ + /* } */ + + /* store C in register blocks. */ + /* for (ri = 0; ri < REG_I; ri++) { */ + /* for (rj = 0; rj < REG_J; rj++) { */ + /* Cj[i + ri + ( rj)*LDA] = c[ri][rj]; */ + /* } */ + /* } */ + /* } */ + /* } */ + } + } + + + //barrier(); + for (jj = start; jj < end; jj += BLOCK_J) { + int kk_start= (coreid != 0 ? 0 : LDA/2), kk_end = (coreid != 0 ? LDA/2 : LDA); + for (kk = kk_start; kk < kk_end; kk += BLOCK_K) { + // for (ii = 0; ii < LDA; ii += BLOCK_I) + for (j = jj; j < MIN(end, jj + BLOCK_J); j += REG_J) { + Aj = A + j*LDA; + Cj = C + j*LDA; + for (i = 0; i < LDA/*, ii + BLOCK_I)*/; i += REG_I) { + /* Load C in register blocks. */ + Bi = B + i; + for (ri = 0; ri < REG_I; ri++) { + for (rj = 0; rj < REG_J; rj++) { + c[ri][rj] = Cj[i + ri + ( rj)*LDA]; + } + } + + + for (k = kk; k < MIN(LDA, kk + BLOCK_K); k++) { + for (ri = 0; ri < REG_I; ri++) { + b[ri] = Bi[k*LDA + ri]; + } + /* Compute C in register blocks. */ + for (rj = 0; rj < REG_J; rj++) { + a[rj] = Aj[(rj)*LDA + k]; + for (ri = 0; ri < REG_I; ri++) { + c[ri][rj] += a[rj] * b[ri]; + } + } + } + + /* store C in register blocks. */ + for (ri = 0; ri < REG_I; ri++) { + for (rj = 0; rj < REG_J; rj++) { + Cj[i + ri + ( rj)*LDA] = c[ri][rj]; + } + } + } + } + } + } + /* We only care about performance for 32x32 matrices and 2 cores. Otherwise just naive mat_mul */ +} else { + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + for ( k = 0; k < lda; k++ ) + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + +// /* // Execute the provided, naive matmul */ +// barrier(); +// stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); +// +// +// // verify +// verify(ARRAY_SIZE, results_data, verify_data); +// +// // clear results from the first trial +// size_t i; +// if (coreid == 0) +// for (i=0; i < ARRAY_SIZE; i++) +// results_data[i] = 0; +// barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/bc_vvadd/bc_vvadd.c b/mt/bc_vvadd/bc_vvadd.c new file mode 100755 index 0000000..50673ed --- /dev/null +++ b/mt/bc_vvadd/bc_vvadd.c @@ -0,0 +1,172 @@ +//************************************************************************** +// Vector-vector add benchmark +//-------------------------------------------------------------------------- +// Author : Andrew Waterman +// TA : Christopher Celio +// Student : +// +// This benchmark adds two vectors and writes the results to a +// third vector. The input data (and reference data) should be +// generated using the vvadd_gendata.pl perl script and dumped +// to a file named dataset.h + +// to print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + +#define MIN(X,Y) (X < Y ? X : Y) +#define MAX(X,Y) (X > Y ? X : Y) + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DATA_SIZE, 10*_c/DATA_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %4ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %4ld, correct[%d]= %4ld\n", + i, (long) test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// vvadd function + +//perform in-place vvadd +void __attribute__((noinline)) vvadd(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + size_t i; + + // interleave accesses + for (i = coreid; i < n; i+=ncores) + { + x[i] = x[i] + y[i]; + } +} + +void __attribute__((noinline)) vvadd_opt(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + size_t i, start = coreid * (n / ncores), end = (coreid == ncores - 1 ? n : (coreid + 1) * (n / ncores)); + + for (i = start; i < end; i++) { + x[i] += y[i]; + } +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[DATA_SIZE]; + + // because we're going to perform an in-place vvadd (and we're going to run + // it a couple of times) let's copy the input data to a temporary results + // array + + size_t i; + if (coreid == 0) + { + for (i = 0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + + + // Execute the provided, terrible vvadd + barrier(); + stats(vvadd(DATA_SIZE, results_data, input2_data); barrier()); + + + // verify + verify(DATA_SIZE, results_data, verify_data); + + // reset results from the first trial + if (coreid == 0) + { + for (i=0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + barrier(); + + + // Execute your faster vvadd + barrier(); + stats(vvadd_opt(DATA_SIZE, results_data, input2_data); barrier()); + +#ifdef DEBUG + printArray("results: ", DATA_SIZE, results_data); + printArray("verify : ", DATA_SIZE, verify_data); +#endif + + // verify + verify(DATA_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/bc_vvadd/dataset.h b/mt/bc_vvadd/dataset.h new file mode 100755 index 0000000..ce9f936 --- /dev/null +++ b/mt/bc_vvadd/dataset.h @@ -0,0 +1,165 @@ + +#define DATA_SIZE 1000 + +static data_t input1_data[DATA_SIZE] = +{ + 0.00, 15.00, 10.00, 3.00, 14.00, 6.00, 2.00, 18.00, 11.00, 15.00, 11.00, 0.00, 17.00, 16.00, 7.00, 13.00, 18.00, 2.00, 2.00, 5.00, + 8.00, 5.00, 12.00, 14.00, 6.00, 12.00, 16.00, 7.00, 9.00, 17.00, 10.00, 10.00, 3.00, 5.00, 14.00, 11.00, 9.00, 12.00, 3.00, 1.00, + 5.00, 4.00, 6.00, 17.00, 17.00, 4.00, 17.00, 15.00, 17.00, 18.00, 3.00, 18.00, 10.00, 6.00, 12.00, 12.00, 3.00, 2.00, 16.00, 1.00, + 5.00, 6.00, 2.00, 17.00, 16.00, 5.00, 10.00, 18.00, 14.00, 4.00, 9.00, 9.00, 7.00, 4.00, 8.00, 13.00, 12.00, 6.00, 4.00, 17.00, + 5.00, 2.00, 11.00, 11.00, 7.00, 6.00, 8.00, 5.00, 6.00, 6.00, 11.00, 1.00, 18.00, 7.00, 6.00, 9.00, 10.00, 17.00, 14.00, 4.00, + 14.00, 11.00, 2.00, 0.00, 2.00, 17.00, 17.00, 15.00, 10.00, 8.00, 12.00, 18.00, 5.00, 0.00, 0.00, 1.00, 1.00, 8.00, 11.00, 11.00, + 7.00, 5.00, 15.00, 18.00, 15.00, 6.00, 8.00, 9.00, 18.00, 6.00, 15.00, 16.00, 10.00, 18.00, 13.00, 6.00, 10.00, 16.00, 0.00, 10.00, + 12.00, 8.00, 8.00, 3.00, 0.00, 1.00, 4.00, 0.00, 8.00, 15.00, 16.00, 9.00, 7.00, 7.00, 10.00, 9.00, 16.00, 12.00, 5.00, 5.00, + 9.00, 5.00, 17.00, 4.00, 13.00, 13.00, 4.00, 14.00, 10.00, 5.00, 10.00, 10.00, 6.00, 18.00, 5.00, 15.00, 5.00, 15.00, 13.00, 18.00, + 6.00, 13.00, 5.00, 18.00, 12.00, 14.00, 1.00, 7.00, 2.00, 1.00, 7.00, 12.00, 15.00, 15.00, 6.00, 2.00, 1.00, 2.00, 18.00, 6.00, + 10.00, 14.00, 9.00, 15.00, 11.00, 0.00, 3.00, 1.00, 2.00, 2.00, 14.00, 7.00, 18.00, 0.00, 2.00, 2.00, 16.00, 8.00, 4.00, 5.00, + 7.00, 11.00, 7.00, 10.00, 14.00, 10.00, 3.00, 0.00, 13.00, 9.00, 14.00, 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9.00, 18.00, 11.00, 8.00, 4.00, 14.00, 6.00, + 17.00, 2.00, 6.00, 8.00, 11.00, 13.00, 6.00, 18.00, 17.00, 6.00, 8.00, 0.00, 1.00, 14.00, 18.00, 4.00, 0.00, 4.00, 3.00, 3.00, + 16.00, 8.00, 16.00, 1.00, 2.00, 0.00, 15.00, 14.00, 10.00, 9.00, 15.00, 3.00, 5.00, 18.00, 5.00, 6.00, 7.00, 3.00, 7.00, 2.00, + 6.00, 12.00, 10.00, 10.00, 18.00, 16.00, 0.00, 9.00, 17.00, 10.00, 9.00, 14.00, 15.00, 5.00, 8.00, 15.00, 3.00, 15.00, 14.00, 11.00, + 6.00, 6.00, 14.00, 0.00, 14.00, 0.00, 7.00, 12.00, 8.00, 7.00, 1.00, 3.00, 6.00, 10.00, 12.00, 1.00, 16.00, 5.00, 5.00, 6.00, + 17.00, 15.00, 15.00, 9.00, 4.00, 18.00, 17.00, 13.00, 12.00, 9.00, 7.00, 10.00, 2.00, 5.00, 8.00, 18.00, 1.00, 15.00, 8.00, 0.00 +}; + +static data_t verify_data[DATA_SIZE] = +{ + 8.00, 21.00, 10.00, 21.00, 20.00, 16.00, 3.00, 20.00, 15.00, 17.00, 15.00, 10.00, 23.00, 27.00, 24.00, 17.00, 18.00, 18.00, 16.00, 17.00, + 17.00, 13.00, 25.00, 29.00, 24.00, 14.00, 29.00, 17.00, 14.00, 21.00, 22.00, 19.00, 4.00, 18.00, 26.00, 18.00, 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31.00, + 21.00, 31.00, 12.00, 34.00, 28.00, 15.00, 2.00, 19.00, 14.00, 3.00, 9.00, 13.00, 22.00, 19.00, 6.00, 10.00, 19.00, 6.00, 29.00, 12.00, + 27.00, 27.00, 21.00, 20.00, 27.00, 12.00, 3.00, 10.00, 12.00, 12.00, 32.00, 19.00, 26.00, 7.00, 7.00, 10.00, 32.00, 11.00, 13.00, 23.00, + 19.00, 24.00, 25.00, 16.00, 22.00, 22.00, 5.00, 12.00, 21.00, 17.00, 23.00, 18.00, 22.00, 1.00, 12.00, 18.00, 8.00, 21.00, 6.00, 20.00, + 28.00, 8.00, 27.00, 10.00, 25.00, 13.00, 21.00, 25.00, 13.00, 32.00, 33.00, 16.00, 11.00, 4.00, 28.00, 20.00, 11.00, 23.00, 19.00, 28.00, + 22.00, 14.00, 21.00, 11.00, 14.00, 22.00, 1.00, 11.00, 7.00, 11.00, 20.00, 30.00, 13.00, 23.00, 23.00, 16.00, 9.00, 20.00, 29.00, 20.00, + 21.00, 27.00, 13.00, 26.00, 8.00, 17.00, 19.00, 9.00, 10.00, 6.00, 6.00, 18.00, 13.00, 17.00, 28.00, 17.00, 21.00, 22.00, 5.00, 15.00, + 17.00, 14.00, 9.00, 14.00, 18.00, 17.00, 8.00, 17.00, 23.00, 20.00, 2.00, 0.00, 27.00, 16.00, 15.00, 21.00, 20.00, 25.00, 17.00, 12.00, + 22.00, 24.00, 21.00, 8.00, 14.00, 28.00, 29.00, 19.00, 8.00, 24.00, 4.00, 11.00, 13.00, 2.00, 23.00, 29.00, 13.00, 34.00, 27.00, 22.00, + 17.00, 3.00, 21.00, 15.00, 13.00, 25.00, 18.00, 20.00, 12.00, 10.00, 27.00, 28.00, 22.00, 22.00, 14.00, 6.00, 25.00, 29.00, 15.00, 12.00, + 28.00, 11.00, 15.00, 5.00, 4.00, 20.00, 10.00, 4.00, 22.00, 3.00, 27.00, 31.00, 29.00, 20.00, 7.00, 3.00, 7.00, 28.00, 17.00, 14.00, + 17.00, 10.00, 8.00, 7.00, 12.00, 21.00, 34.00, 20.00, 9.00, 22.00, 19.00, 21.00, 25.00, 24.00, 18.00, 14.00, 23.00, 23.00, 9.00, 15.00, + 19.00, 7.00, 20.00, 32.00, 20.00, 27.00, 27.00, 30.00, 27.00, 32.00, 8.00, 19.00, 21.00, 28.00, 16.00, 25.00, 13.00, 22.00, 24.00, 13.00, + 21.00, 16.00, 10.00, 23.00, 21.00, 11.00, 25.00, 19.00, 21.00, 14.00, 14.00, 26.00, 30.00, 12.00, 5.00, 26.00, 22.00, 11.00, 7.00, 16.00, + 12.00, 22.00, 14.00, 23.00, 21.00, 28.00, 31.00, 20.00, 1.00, 23.00, 30.00, 32.00, 16.00, 14.00, 9.00, 23.00, 21.00, 31.00, 3.00, 23.00, + 17.00, 7.00, 22.00, 6.00, 30.00, 4.00, 7.00, 22.00, 17.00, 17.00, 19.00, 18.00, 31.00, 11.00, 18.00, 11.00, 22.00, 12.00, 29.00, 15.00, + 35.00, 11.00, 12.00, 17.00, 18.00, 29.00, 17.00, 33.00, 33.00, 15.00, 27.00, 20.00, 29.00, 14.00, 23.00, 15.00, 21.00, 18.00, 20.00, 17.00, + 24.00, 5.00, 29.00, 13.00, 19.00, 18.00, 19.00, 13.00, 5.00, 16.00, 22.00, 14.00, 25.00, 21.00, 7.00, 17.00, 19.00, 15.00, 5.00, 16.00, + 33.00, 28.00, 10.00, 24.00, 24.00, 13.00, 11.00, 17.00, 12.00, 28.00, 21.00, 5.00, 19.00, 25.00, 13.00, 5.00, 10.00, 25.00, 21.00, 17.00, + 13.00, 20.00, 9.00, 16.00, 24.00, 18.00, 16.00, 22.00, 19.00, 10.00, 0.00, 14.00, 21.00, 24.00, 23.00, 10.00, 33.00, 23.00, 21.00, 17.00, + 17.00, 19.00, 26.00, 22.00, 12.00, 27.00, 31.00, 23.00, 6.00, 32.00, 12.00, 10.00, 9.00, 19.00, 18.00, 18.00, 20.00, 24.00, 17.00, 7.00, + 21.00, 27.00, 14.00, 20.00, 5.00, 19.00, 11.00, 18.00, 25.00, 1.00, 12.00, 21.00, 13.00, 26.00, 20.00, 3.00, 17.00, 28.00, 18.00, 16.00, + 13.00, 11.00, 11.00, 24.00, 2.00, 27.00, 18.00, 19.00, 18.00, 16.00, 25.00, 15.00, 9.00, 19.00, 26.00, 24.00, 19.00, 13.00, 16.00, 12.00, + 25.00, 12.00, 12.00, 24.00, 20.00, 9.00, 22.00, 6.00, 13.00, 11.00, 11.00, 20.00, 11.00, 22.00, 3.00, 17.00, 25.00, 14.00, 25.00, 16.00, + 3.00, 16.00, 23.00, 24.00, 24.00, 29.00, 24.00, 6.00, 12.00, 14.00, 23.00, 29.00, 23.00, 26.00, 14.00, 35.00, 17.00, 20.00, 12.00, 25.00, + 2.00, 29.00, 16.00, 3.00, 17.00, 32.00, 30.00, 5.00, 31.00, 25.00, 24.00, 29.00, 22.00, 26.00, 7.00, 14.00, 6.00, 11.00, 32.00, 1.00, + 18.00, 12.00, 20.00, 16.00, 15.00, 20.00, 19.00, 30.00, 23.00, 11.00, 12.00, 24.00, 13.00, 27.00, 2.00, 3.00, 36.00, 9.00, 13.00, 14.00, + 16.00, 23.00, 23.00, 24.00, 13.00, 22.00, 18.00, 26.00, 24.00, 22.00, 28.00, 23.00, 25.00, 28.00, 7.00, 14.00, 31.00, 15.00, 23.00, 25.00, + 15.00, 20.00, 15.00, 19.00, 8.00, 27.00, 25.00, 19.00, 21.00, 28.00, 11.00, 14.00, 25.00, 24.00, 11.00, 29.00, 19.00, 25.00, 16.00, 33.00, + 18.00, 9.00, 3.00, 13.00, 13.00, 13.00, 21.00, 20.00, 23.00, 7.00, 11.00, 18.00, 25.00, 26.00, 30.00, 12.00, 21.00, 21.00, 27.00, 14.00, + 21.00, 31.00, 3.00, 21.00, 14.00, 20.00, 30.00, 20.00, 21.00, 32.00, 27.00, 24.00, 16.00, 31.00, 5.00, 20.00, 14.00, 17.00, 15.00, 16.00, + 19.00, 13.00, 4.00, 21.00, 20.00, 29.00, 10.00, 22.00, 19.00, 24.00, 29.00, 14.00, 10.00, 15.00, 18.00, 7.00, 28.00, 17.00, 7.00, 2.00, + 1.00, 19.00, 17.00, 23.00, 31.00, 13.00, 20.00, 36.00, 17.00, 27.00, 28.00, 18.00, 20.00, 29.00, 17.00, 23.00, 24.00, 23.00, 26.00, 17.00, + 9.00, 26.00, 16.00, 18.00, 10.00, 28.00, 32.00, 20.00, 19.00, 14.00, 22.00, 23.00, 13.00, 22.00, 14.00, 7.00, 20.00, 10.00, 25.00, 9.00, + 7.00, 2.00, 31.00, 16.00, 16.00, 22.00, 5.00, 15.00, 26.00, 23.00, 10.00, 18.00, 32.00, 24.00, 15.00, 30.00, 16.00, 13.00, 15.00, 7.00, + 11.00, 6.00, 21.00, 14.00, 25.00, 21.00, 11.00, 16.00, 14.00, 26.00, 25.00, 15.00, 22.00, 24.00, 4.00, 19.00, 14.00, 26.00, 22.00, 17.00, + 13.00, 14.00, 7.00, 32.00, 20.00, 33.00, 13.00, 7.00, 29.00, 8.00, 26.00, 6.00, 9.00, 13.00, 22.00, 23.00, 8.00, 22.00, 22.00, 10.00, + 24.00, 2.00, 17.00, 9.00, 22.00, 30.00, 24.00, 33.00, 25.00, 17.00, 23.00, 9.00, 13.00, 15.00, 23.00, 10.00, 1.00, 22.00, 17.00, 10.00, + 32.00, 24.00, 26.00, 4.00, 15.00, 0.00, 27.00, 23.00, 28.00, 23.00, 30.00, 7.00, 16.00, 33.00, 20.00, 14.00, 23.00, 14.00, 20.00, 14.00, + 7.00, 25.00, 24.00, 12.00, 29.00, 16.00, 17.00, 20.00, 29.00, 16.00, 13.00, 18.00, 26.00, 18.00, 18.00, 17.00, 13.00, 29.00, 14.00, 17.00, + 24.00, 16.00, 21.00, 14.00, 26.00, 9.00, 11.00, 28.00, 25.00, 15.00, 15.00, 12.00, 6.00, 14.00, 27.00, 14.00, 24.00, 18.00, 18.00, 14.00, + 32.00, 21.00, 26.00, 13.00, 6.00, 24.00, 22.00, 27.00, 17.00, 26.00, 19.00, 21.00, 19.00, 9.00, 21.00, 25.00, 17.00, 27.00, 15.00, 18.00 +}; + diff --git a/mt/bc_vvadd/vvadd_gendata.pl b/mt/bc_vvadd/vvadd_gendata.pl new file mode 100755 index 0000000..a9fceac --- /dev/null +++ b/mt/bc_vvadd/vvadd_gendata.pl @@ -0,0 +1,139 @@ +#!/usr/bin/perl -w +#========================================================================== +# vvadd_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the vvadd benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: vvadd_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[DATA_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3.2f",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + my @values1; + my @values2; + my @sum; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + my $value1 = int(rand(19)); + my $value2 = int(rand(19)); + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @sum, $value1 + $value2 ); + } + + + print "\n\#define DATA_SIZE ".$opts{"size"}." \n\n"; + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@sum ); + +} + +main(); + diff --git a/mt/be_matmul/be_matmul.c b/mt/be_matmul/be_matmul.c new file mode 100755 index 0000000..da4b531 --- /dev/null +++ b/mt/be_matmul/be_matmul.c @@ -0,0 +1,314 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + + int i, j, k , jj , kk; + int start_i = coreid*lda/2; + int end_i = start_i + lda/2; + int step_j, step_k; + int start_k, end_k, start_j, end_j; + int j_lda; + int pos_A , pos_B, pos_C; + data_t temp00, temp01,temp02,temp03,temp04,temp05,temp06,temp07; + data_t temp10, temp11,temp12,temp13,temp14,temp15,temp16,temp17; + data_t temp_A0, temp_A1, temp_A2, temp_A3, temp_A4, temp_A5, temp_A6, temp_A7; + + temp00 = 0; + temp01 = 0; + temp02 = 0; + temp03 = 0; + temp04 = 0; + temp05 = 0; + temp06 = 0; + temp07 = 0; + + temp10 = 0; + temp11 = 0; + temp12 = 0; + temp13 = 0; + temp14 = 0; + temp15 = 0; + temp16 = 0; + temp17 = 0; + + if (coreid == 0) + { + step_k = 1; + start_k= 0; + end_k = lda; + + step_j = 2; + start_j= 0; + end_j = lda; + + }else + { + + step_k = -1; + start_k = lda-1; + end_k = -1; + + step_j = -2; + start_j= lda-2; + end_j = -2; + } + + for( kk = start_k ; kk!= end_k ; kk+=(step_k*16) ) + { + for( jj = start_j ; jj!= end_j ; jj+=(step_j*8) ) + { + for ( i = start_i; i < end_i; i+=8 ) + { + //pos_C = i + jj*lda; + for ( j = jj; j != (jj+(step_j*8)) ; j+=step_j ) + { + + pos_C = i + j*lda; + temp00 = C[(pos_C + 0)]; + temp01 = C[(pos_C + 1)]; + temp02 = C[(pos_C + 2)]; + temp03 = C[(pos_C + 3)]; + temp04 = C[(pos_C + 4)]; + temp05 = C[(pos_C + 5)]; + temp06 = C[(pos_C + 6)]; + temp07 = C[(pos_C + 7)]; + + //pos_C += lda; + pos_C = i + (j+1)*lda; + + temp10 = C[(pos_C + 0)]; + temp11 = C[(pos_C + 1)]; + temp12 = C[(pos_C + 2)]; + temp13 = C[(pos_C + 3)]; + temp14 = C[(pos_C + 4)]; + temp15 = C[(pos_C + 5)]; + temp16 = C[(pos_C + 6)]; + temp17 = C[(pos_C + 7)]; + + pos_B = kk*lda + i; + pos_A = j*lda + kk; + for ( k = kk; k != (kk+(step_k*16)) ; k+=step_k ) + { + temp_A0 = A[ pos_A ] ; + temp_A1 = A[pos_A +lda]; + + temp00 += temp_A0 * B[(pos_B + 0)]; + temp01 += temp_A0 * B[(pos_B + 1)]; + temp02 += temp_A0 * B[(pos_B + 2)]; + temp03 += temp_A0 * B[(pos_B + 3)]; + temp04 += temp_A0 * B[(pos_B + 4)]; + temp05 += temp_A0 * B[(pos_B + 5)]; + temp06 += temp_A0 * B[(pos_B + 6)]; + temp07 += temp_A0 * B[(pos_B + 7)]; + + temp10 += temp_A1 * B[(pos_B + 0)]; + temp11 += temp_A1 * B[(pos_B + 1)]; + temp12 += temp_A1 * B[(pos_B + 2)]; + temp13 += temp_A1 * B[(pos_B + 3)]; + temp14 += temp_A1 * B[(pos_B + 4)]; + temp15 += temp_A1 * B[(pos_B + 5)]; + temp16 += temp_A1 * B[(pos_B + 6)]; + temp17 += temp_A1 * B[(pos_B + 7)]; + + pos_B += (lda*step_k) ; + pos_A += step_k; + } + //barrier(); + + C[(pos_C + 0)] = temp10; + C[(pos_C + 1)] = temp11; + C[(pos_C + 2)] = temp12; + C[(pos_C + 3)] = temp13; + C[(pos_C + 4)] = temp14; + C[(pos_C + 5)] = temp15; + C[(pos_C + 6)] = temp16; + C[(pos_C + 7)] = temp17; + //barrier(); + + pos_C = i + j*lda; + //pos_C -= lda; + C[(pos_C + 0)] = temp00; + C[(pos_C + 1)] = temp01; + C[(pos_C + 2)] = temp02; + C[(pos_C + 3)] = temp03; + C[(pos_C + 4)] = temp04; + C[(pos_C + 5)] = temp05; + C[(pos_C + 6)] = temp06; + C[(pos_C + 7)] = temp07; + //barrier(); + //pos_C += step_j * lda; + } + //barrier(); + } + //barrier(); + + } + //barrier(); + } +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + /* + // Execute the provided, naive matmul + barrier(); + stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + + // clear results from the first trial + size_t i; + if (coreid == 0) + for (i=0; i < ARRAY_SIZE; i++) + results_data[i] = 0; + barrier(); + + */ + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + + + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + + //printf("input1_data"); +exit(0); + +} diff --git a/mt/be_matmul/dataset.h b/mt/be_matmul/dataset.h new file mode 100755 index 0000000..dde3ee4 --- /dev/null +++ b/mt/be_matmul/dataset.h @@ -0,0 +1,174 @@ + +#define ARRAY_SIZE 1024 + + +#define DIM_SIZE 32 + +static data_t input1_data[ARRAY_SIZE] = +{ + 0, 3, 2, 0, 3, 1, 0, 3, 2, 3, 2, 0, 3, 3, 1, 2, 3, 0, 0, 1, + 1, 1, 2, 3, 1, 2, 3, 1, 1, 3, 2, 2, 0, 1, 3, 2, 2, 2, 0, 0, + 1, 0, 1, 3, 3, 0, 3, 3, 3, 3, 0, 3, 2, 1, 2, 2, 0, 0, 3, 0, + 1, 1, 0, 3, 3, 1, 2, 3, 3, 0, 1, 2, 1, 0, 1, 2, 2, 1, 0, 3, + 1, 0, 2, 2, 1, 1, 1, 1, 1, 1, 2, 0, 3, 1, 1, 2, 2, 3, 3, 1, + 3, 2, 0, 0, 0, 3, 3, 3, 2, 1, 2, 3, 1, 0, 0, 0, 0, 1, 2, 2, + 1, 1, 3, 3, 3, 1, 1, 2, 3, 1, 3, 3, 2, 3, 2, 1, 2, 3, 0, 2, + 2, 1, 1, 0, 0, 0, 0, 0, 1, 3, 3, 1, 1, 1, 2, 2, 3, 2, 1, 1, + 1, 1, 3, 0, 2, 2, 1, 3, 2, 1, 2, 2, 1, 3, 1, 3, 1, 3, 2, 3, + 1, 2, 1, 3, 2, 2, 0, 1, 0, 0, 1, 2, 3, 3, 1, 0, 0, 0, 3, 1, + 2, 3, 2, 3, 2, 0, 0, 0, 0, 0, 3, 1, 3, 0, 0, 0, 3, 1, 1, 1, + 1, 2, 1, 2, 3, 2, 0, 0, 2, 2, 3, 0, 3, 0, 0, 3, 0, 3, 1, 3, + 3, 1, 1, 1, 2, 2, 1, 3, 0, 3, 3, 1, 0, 0, 3, 2, 1, 3, 3, 3, + 1, 0, 1, 1, 2, 1, 0, 1, 1, 2, 2, 3, 1, 2, 2, 2, 0, 1, 3, 3, + 3, 2, 2, 1, 0, 1, 2, 0, 1, 1, 1, 1, 2, 3, 2, 2, 3, 3, 0, 0, + 2, 0, 0, 0, 3, 0, 1, 0, 3, 0, 0, 0, 3, 0, 0, 2, 0, 2, 0, 0, + 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 0, 2, 0, 0, 3, 3, 2, 3, 3, 0, + 1, 0, 2, 2, 0, 3, 3, 1, 1, 0, 2, 3, 2, 1, 1, 0, 1, 2, 1, 2, + 2, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 3, 3, 2, 0, 0, 1, 3, 0, 3, + 3, 0, 0, 0, 0, 3, 3, 1, 0, 0, 3, 3, 2, 1, 2, 1, 3, 3, 0, 1, + 3, 0, 2, 3, 1, 3, 3, 3, 3, 3, 0, 1, 1, 3, 0, 2, 2, 3, 1, 2, + 2, 2, 1, 3, 3, 0, 3, 0, 0, 2, 0, 2, 3, 0, 1, 3, 2, 2, 0, 0, + 2, 3, 0, 2, 2, 2, 3, 1, 0, 3, 3, 3, 3, 1, 0, 3, 3, 2, 0, 3, + 2, 0, 3, 0, 2, 0, 0, 2, 2, 1, 0, 2, 3, 1, 1, 1, 1, 2, 3, 3, + 3, 0, 0, 3, 3, 3, 2, 3, 3, 1, 2, 2, 3, 1, 2, 1, 1, 3, 0, 1, + 2, 0, 2, 0, 0, 1, 3, 2, 0, 1, 3, 2, 3, 3, 0, 0, 0, 1, 0, 3, + 3, 2, 2, 2, 1, 1, 2, 2, 1, 3, 2, 0, 1, 3, 2, 0, 2, 1, 3, 0, + 0, 0, 1, 3, 3, 2, 2, 2, 3, 1, 0, 0, 1, 1, 2, 1, 3, 1, 1, 2, + 2, 3, 2, 3, 0, 2, 3, 3, 0, 3, 0, 0, 1, 0, 0, 0, 1, 3, 1, 1, + 2, 3, 2, 1, 1, 2, 2, 2, 3, 0, 1, 1, 2, 1, 2, 0, 2, 3, 1, 3, + 0, 1, 1, 3, 0, 2, 3, 0, 1, 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 2, + 3, 0, 1, 1, 1, 1, 2, 0, 1, 2, 0, 1, 1, 1, 0, 1, 3, 2, 3, 1, + 0, 2, 1, 2, 1, 3, 3, 1, 0, 2, 2, 3, 1, 3, 1, 3, 0, 1, 0, 3, + 0, 3, 2, 0, 3, 3, 3, 0, 3, 2, 2, 2, 1, 3, 0, 0, 1, 1, 3, 0, + 1, 2, 1, 0, 0, 0, 3, 2, 2, 0, 0, 2, 1, 3, 0, 0, 3, 0, 0, 2, + 1, 1, 2, 2, 1, 3, 2, 2, 1, 1, 2, 1, 3, 2, 1, 1, 3, 0, 1, 3, + 3, 2, 2, 1, 0, 3, 2, 2, 2, 3, 0, 1, 3, 3, 2, 3, 0, 3, 2, 3, + 1, 1, 0, 0, 0, 2, 3, 0, 3, 0, 1, 1, 3, 1, 3, 2, 1, 1, 2, 1, + 3, 2, 0, 2, 1, 0, 2, 3, 2, 3, 2, 1, 2, 3, 0, 0, 1, 1, 0, 0, + 2, 1, 0, 1, 2, 2, 2, 2, 0, 3, 3, 1, 0, 0, 0, 0, 3, 1, 1, 0, + 0, 0, 0, 1, 2, 2, 1, 3, 0, 2, 3, 2, 3, 2, 2, 1, 2, 2, 3, 3, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 2, 2, 3, 1, 1, 1, 0, 0, 0, 3, 0, + 1, 0, 3, 1, 1, 3, 0, 1, 2, 2, 0, 0, 3, 3, 3, 3, 2, 1, 0, 0, + 1, 0, 2, 0, 1, 1, 0, 0, 3, 3, 2, 1, 1, 1, 0, 1, 1, 2, 2, 1, + 1, 2, 0, 3, 1, 3, 1, 0, 3, 0, 3, 1, 1, 1, 0, 2, 0, 3, 1, 0, + 1, 0, 2, 0, 2, 3, 3, 3, 1, 2, 3, 2, 2, 0, 1, 1, 0, 3, 3, 1, + 3, 3, 2, 0, 2, 0, 2, 2, 3, 3, 3, 0, 2, 3, 3, 1, 3, 2, 2, 2, + 0, 2, 3, 0, 2, 0, 3, 2, 2, 1, 1, 0, 2, 2, 2, 0, 2, 2, 0, 1, + 3, 2, 1, 3, 2, 2, 0, 3, 3, 1, 2, 2, 0, 0, 3, 2, 1, 2, 2, 1, + 3, 1, 2, 0, 0, 1, 1, 2, 1, 3, 2, 2, 3, 0, 2, 1, 3, 2, 1, 3, + 2, 3, 3, 1, 2, 1, 2, 2, 0, 0, 0, 3, 0, 2, 3, 1, 0, 0, 2, 3, + 3, 2, 2, 1 +}; + +static data_t input2_data[ARRAY_SIZE] = +{ + 1, 1, 0, 3, 1, 2, 0, 0, 0, 0, 0, 2, 1, 2, 3, 0, 0, 3, 3, 2, + 2, 1, 2, 3, 3, 0, 2, 2, 1, 1, 2, 2, 0, 2, 2, 1, 2, 3, 2, 2, + 3, 3, 2, 2, 1, 1, 1, 1, 2, 1, 2, 2, 3, 3, 3, 0, 0, 3, 2, 3, + 2, 3, 1, 2, 1, 1, 2, 2, 0, 1, 0, 3, 2, 1, 1, 1, 2, 0, 1, 2, + 2, 0, 2, 1, 3, 3, 2, 3, 2, 0, 3, 1, 3, 3, 2, 0, 1, 0, 1, 1, + 2, 2, 1, 1, 2, 2, 1, 2, 3, 3, 1, 3, 2, 2, 2, 3, 3, 1, 0, 2, + 1, 0, 0, 0, 1, 1, 2, 0, 3, 2, 3, 3, 0, 2, 3, 1, 0, 0, 2, 1, + 2, 0, 2, 1, 1, 2, 3, 1, 3, 2, 1, 0, 0, 0, 0, 0, 2, 2, 0, 2, + 1, 2, 0, 3, 2, 2, 0, 0, 3, 2, 1, 1, 3, 0, 2, 0, 0, 1, 0, 2, + 3, 3, 1, 3, 3, 0, 0, 2, 2, 0, 0, 0, 1, 0, 0, 1, 3, 0, 2, 1, + 3, 2, 2, 1, 3, 2, 0, 1, 2, 2, 3, 2, 1, 1, 1, 1, 3, 0, 1, 3, + 2, 2, 3, 1, 1, 2, 0, 2, 1, 1, 2, 3, 1, 0, 1, 0, 1, 1, 0, 0, + 2, 0, 3, 0, 3, 0, 3, 2, 2, 3, 3, 2, 1, 0, 2, 2, 1, 1, 0, 3, + 3, 2, 2, 0, 0, 3, 0, 1, 0, 0, 1, 2, 0, 1, 3, 0, 1, 2, 2, 0, + 0, 3, 0, 3, 0, 1, 1, 2, 0, 0, 0, 3, 0, 0, 2, 1, 1, 1, 0, 2, + 1, 3, 1, 2, 0, 3, 0, 3, 1, 3, 0, 0, 2, 2, 2, 2, 3, 3, 2, 1, + 2, 2, 1, 1, 2, 2, 2, 2, 0, 3, 0, 0, 2, 0, 1, 2, 0, 3, 2, 3, + 2, 0, 2, 1, 2, 1, 0, 2, 1, 1, 3, 2, 2, 3, 1, 0, 3, 3, 1, 0, + 3, 2, 2, 0, 0, 3, 0, 0, 2, 0, 3, 2, 3, 1, 1, 0, 0, 2, 3, 0, + 0, 1, 1, 1, 2, 1, 3, 2, 1, 3, 0, 1, 3, 3, 1, 1, 1, 1, 1, 1, + 0, 0, 2, 3, 2, 2, 2, 3, 2, 3, 1, 2, 3, 2, 2, 2, 0, 1, 3, 0, + 1, 1, 0, 1, 0, 1, 1, 3, 3, 1, 2, 2, 3, 2, 0, 2, 2, 0, 1, 3, + 0, 1, 3, 2, 1, 3, 3, 2, 0, 1, 3, 2, 0, 2, 1, 1, 0, 3, 0, 1, + 1, 1, 1, 1, 3, 0, 0, 1, 0, 2, 3, 1, 3, 0, 2, 1, 3, 0, 3, 0, + 3, 2, 2, 0, 0, 2, 1, 3, 3, 2, 3, 2, 2, 1, 2, 2, 3, 0, 3, 2, + 2, 0, 3, 2, 3, 2, 0, 0, 1, 2, 0, 0, 2, 0, 0, 3, 3, 2, 0, 0, + 3, 3, 0, 2, 3, 1, 0, 1, 0, 2, 1, 0, 2, 1, 0, 1, 0, 3, 0, 2, + 2, 3, 0, 0, 2, 1, 0, 1, 0, 0, 0, 2, 2, 3, 2, 0, 3, 3, 2, 1, + 0, 0, 3, 1, 2, 3, 3, 1, 0, 3, 1, 1, 0, 3, 3, 3, 2, 2, 2, 0, + 1, 2, 0, 3, 0, 1, 0, 1, 1, 0, 1, 2, 0, 3, 2, 0, 1, 2, 2, 0, + 2, 0, 0, 1, 0, 3, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 1, 1, 1, 0, + 2, 1, 1, 3, 2, 0, 2, 1, 1, 0, 2, 2, 1, 3, 0, 2, 1, 0, 1, 2, + 0, 1, 3, 2, 3, 2, 1, 0, 2, 0, 2, 2, 3, 1, 1, 3, 2, 3, 2, 2, + 0, 2, 0, 0, 0, 3, 2, 0, 2, 2, 3, 3, 3, 2, 1, 2, 0, 0, 3, 0, + 2, 0, 3, 2, 2, 3, 0, 3, 2, 1, 2, 2, 1, 2, 0, 0, 3, 1, 2, 0, + 2, 3, 2, 2, 1, 1, 1, 3, 3, 3, 3, 3, 1, 3, 0, 1, 3, 2, 2, 1, + 0, 1, 1, 2, 1, 2, 3, 1, 2, 2, 1, 2, 1, 1, 0, 3, 3, 1, 1, 3, + 2, 0, 0, 1, 2, 0, 1, 3, 1, 0, 0, 2, 2, 3, 3, 0, 2, 3, 2, 1, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 3, 3, 3, 1, 3, 0, 3, 1, 1, 2, 2, + 2, 1, 0, 3, 2, 3, 0, 2, 3, 2, 3, 1, 2, 3, 3, 1, 2, 1, 0, 0, + 0, 3, 3, 3, 3, 0, 3, 3, 3, 3, 2, 1, 0, 3, 0, 3, 2, 3, 1, 0, + 0, 1, 3, 1, 0, 2, 2, 3, 1, 0, 2, 1, 1, 3, 1, 1, 3, 1, 2, 1, + 0, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 3, 3, 1, 0, 3, 1, 1, 2, 0, + 0, 0, 2, 3, 3, 2, 2, 3, 0, 2, 3, 1, 3, 3, 0, 2, 1, 2, 2, 2, + 1, 0, 1, 3, 2, 3, 1, 1, 2, 1, 1, 0, 0, 2, 3, 2, 1, 0, 3, 1, + 3, 0, 1, 1, 2, 2, 1, 3, 3, 1, 1, 0, 0, 3, 3, 0, 0, 0, 0, 0, + 3, 1, 3, 0, 0, 0, 3, 3, 2, 1, 3, 0, 1, 3, 1, 1, 1, 0, 1, 0, + 1, 2, 2, 2, 3, 3, 0, 2, 3, 2, 1, 3, 3, 1, 1, 3, 0, 3, 3, 2, + 1, 1, 2, 0, 3, 0, 1, 2, 1, 1, 0, 0, 1, 2, 2, 0, 3, 1, 1, 1, + 3, 3, 3, 1, 0, 3, 3, 2, 2, 2, 1, 2, 0, 1, 1, 3, 0, 3, 1, 0, + 2, 2, 0, 1, 2, 3, 2, 1, 2, 0, 3, 2, 1, 3, 0, 1, 2, 0, 3, 0, + 1, 1, 2, 1 +}; + +static data_t verify_data[ARRAY_SIZE] = +{ + 72, 75, 88, 101, 80, 88, 73, 75, 80, 81, 58, 75, 86, 65, 60, 80, 84, 83, 87, 83, + 108, 93, 85, 76, 72, 98, 79, 86, 80, 96, 91, 85, 72, 64, 70, 83, 68, 92, 51, 54, + 85, 85, 60, 58, 90, 64, 55, 69, 72, 48, 94, 77, 91, 83, 70, 69, 67, 77, 59, 50, + 67, 74, 77, 67, 67, 62, 72, 71, 68, 79, 54, 61, 67, 61, 55, 62, 78, 60, 53, 64, + 67, 69, 99, 68, 88, 60, 66, 63, 70, 62, 65, 50, 53, 66, 70, 72, 75, 78, 85, 95, + 71, 89, 70, 68, 86, 88, 58, 77, 84, 70, 65, 68, 73, 75, 91, 96, 105, 92, 76, 68, + 86, 69, 80, 59, 73, 83, 88, 75, 64, 63, 71, 99, 77, 77, 69, 55, 80, 73, 54, 73, + 87, 78, 60, 69, 65, 78, 86, 89, 95, 92, 63, 69, 89, 61, 80, 65, 70, 77, 89, 77, + 79, 79, 73, 92, 64, 81, 60, 78, 81, 80, 61, 63, 89, 65, 56, 83, 77, 65, 102, 70, + 98, 86, 96, 68, 72, 89, 73, 73, 70, 89, 84, 76, 48, 61, 63, 70, 70, 79, 50, 53, + 64, 63, 43, 51, 59, 62, 43, 63, 55, 77, 79, 74, 75, 74, 64, 44, 65, 69, 72, 66, + 54, 71, 74, 72, 69, 76, 68, 89, 94, 75, 65, 53, 85, 79, 65, 74, 82, 73, 58, 70, + 84, 77, 99, 72, 92, 84, 78, 62, 59, 83, 71, 74, 63, 85, 80, 78, 71, 72, 79, 83, + 73, 82, 60, 85, 76, 82, 60, 70, 82, 68, 54, 85, 84, 70, 86, 74, 100, 88, 98, 68, + 67, 87, 69, 73, 68, 88, 76, 71, 47, 43, 47, 80, 54, 65, 40, 37, 59, 53, 33, 48, + 62, 40, 36, 55, 36, 62, 53, 57, 70, 69, 45, 43, 53, 61, 42, 57, 56, 63, 51, 47, + 59, 75, 64, 89, 83, 75, 59, 75, 91, 92, 58, 64, 83, 74, 58, 60, 76, 66, 97, 69, + 90, 95, 92, 64, 78, 75, 77, 73, 65, 78, 82, 75, 47, 54, 59, 71, 59, 56, 53, 42, + 60, 55, 40, 51, 60, 46, 36, 59, 46, 57, 67, 43, 51, 53, 53, 38, 54, 56, 55, 48, + 41, 46, 63, 63, 80, 77, 89, 102, 89, 98, 74, 86, 98, 93, 63, 76, 98, 77, 48, 101, + 86, 88, 100, 82, 102, 90, 95, 75, 86, 103, 83, 98, 80, 104, 98, 86, 71, 74, 80, 90, + 86, 87, 73, 70, 81, 83, 55, 66, 90, 66, 58, 84, 77, 84, 93, 72, 99, 75, 85, 65, + 70, 89, 71, 82, 64, 79, 82, 80, 67, 73, 86, 101, 78, 97, 66, 64, 84, 80, 55, 64, + 79, 73, 51, 79, 89, 68, 94, 77, 109, 102, 82, 61, 66, 93, 88, 70, 82, 82, 85, 69, + 69, 72, 66, 97, 85, 90, 70, 59, 76, 89, 53, 56, 90, 79, 71, 64, 70, 67, 100, 92, + 106, 89, 83, 78, 73, 80, 70, 72, 65, 70, 92, 88, 57, 76, 55, 85, 66, 80, 61, 63, + 63, 78, 54, 58, 71, 73, 54, 63, 63, 62, 89, 76, 86, 81, 83, 54, 70, 81, 78, 64, + 56, 72, 74, 81, 75, 63, 68, 89, 65, 77, 58, 68, 75, 83, 52, 62, 82, 63, 55, 75, + 51, 70, 95, 66, 83, 77, 86, 61, 64, 77, 48, 70, 66, 82, 72, 75, 79, 71, 72, 89, + 78, 78, 66, 59, 91, 80, 55, 64, 79, 68, 54, 71, 67, 75, 87, 84, 100, 101, 76, 58, + 74, 82, 61, 74, 75, 97, 85, 79, 61, 55, 69, 68, 72, 65, 52, 64, 80, 73, 48, 54, + 71, 66, 42, 61, 66, 63, 92, 64, 85, 77, 73, 54, 74, 73, 76, 66, 62, 79, 85, 70, + 71, 84, 87, 81, 88, 86, 77, 77, 93, 88, 78, 71, 101, 89, 58, 84, 95, 81, 89, 97, + 104, 79, 83, 76, 90, 81, 91, 74, 70, 76, 91, 80, 51, 48, 56, 69, 47, 63, 54, 42, + 63, 63, 42, 52, 66, 56, 39, 59, 61, 52, 59, 63, 62, 68, 57, 35, 67, 58, 56, 52, + 61, 63, 60, 47, 85, 75, 89, 106, 88, 95, 74, 82, 107, 107, 64, 78, 98, 90, 62, 91, + 79, 87, 111, 84, 104, 106, 96, 68, 94, 99, 81, 89, 79, 105, 95, 86, 65, 63, 77, 89, + 66, 88, 56, 73, 82, 92, 41, 62, 85, 66, 50, 81, 57, 71, 77, 78, 86, 89, 77, 53, + 67, 78, 61, 63, 72, 82, 69, 66, 59, 46, 55, 70, 56, 64, 45, 50, 65, 64, 42, 56, + 78, 49, 51, 52, 38, 56, 72, 55, 73, 72, 61, 50, 63, 60, 47, 57, 55, 73, 53, 68, + 85, 88, 91, 96, 82, 89, 73, 76, 87, 86, 67, 69, 96, 84, 57, 89, 87, 89, 99, 88, + 104, 90, 85, 75, 88, 92, 85, 75, 74, 87, 103, 94, 55, 48, 56, 65, 72, 50, 45, 51, + 63, 62, 47, 57, 79, 53, 36, 63, 54, 68, 71, 59, 63, 61, 63, 41, 50, 73, 57, 59, + 56, 76, 73, 65, 61, 64, 61, 79, 53, 73, 57, 44, 61, 59, 59, 56, 81, 59, 49, 62, + 65, 55, 69, 72, 79, 70, 58, 57, 68, 61, 62, 50, 57, 60, 66, 66, 63, 77, 81, 89, + 85, 81, 76, 73, 78, 95, 59, 70, 81, 77, 46, 79, 78, 79, 83, 81, 84, 82, 85, 48, + 74, 85, 85, 74, 74, 80, 80, 74, 60, 76, 80, 97, 88, 93, 66, 66, 73, 84, 56, 70, + 90, 63, 58, 78, 73, 93, 90, 78, 94, 88, 82, 67, 85, 70, 81, 86, 74, 82, 88, 82, + 68, 73, 75, 91, 78, 97, 71, 66, 74, 85, 50, 59, 86, 77, 70, 74, 75, 74, 99, 82, + 99, 91, 86, 65, 80, 77, 72, 69, 60, 78, 90, 87, 79, 69, 74, 98, 70, 86, 81, 67, + 69, 78, 48, 65, 88, 70, 70, 70, 69, 72, 96, 90, 99, 82, 81, 76, 98, 73, 74, 71, + 69, 73, 94, 89 +}; + diff --git a/mt/be_matmul/matmul_gendata.pl b/mt/be_matmul/matmul_gendata.pl new file mode 100755 index 0000000..f21bb46 --- /dev/null +++ b/mt/be_matmul/matmul_gendata.pl @@ -0,0 +1,200 @@ +#!/usr/bin/perl -w +#========================================================================== +# matmul_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the matmul benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: matmul_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[ARRAY_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3d",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + + + +#-------------------------------------------------------------------------- +# Matmul +#-------------------------------------------------------------------------- + +# http://answers.oreilly.com/topic/418-how-to-multiply-matrices-in-perl/ + +sub mmult { + my ($m1,$m2) = @_; + my ($m1rows,$m1cols) = matdim($m1); + my ($m2rows,$m2cols) = matdim($m2); + + my $result = [ ]; + my ($i, $j, $k); + + for $i (range($m1rows)) { + for $j (range($m2cols)) { + for $k (range($m1cols)) { + $result->[$i][$j] += $m1->[$i][$k] * $m2->[$k][$j]; + } + } + } + return $result; +} + +sub range { 0 .. ($_[0] - 1) } + + +sub veclen { + my $ary_ref = $_[0]; + my $type = ref $ary_ref; + if ($type ne "ARRAY") { die "$type is bad array ref for $ary_ref" } + return scalar(@$ary_ref); +} + +sub matdim { + my $matrix = $_[0]; + my $rows = veclen($matrix); + my $cols = veclen($matrix->[0]); + return ($rows, $cols); +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + # create random input arrays + my $mat_values1; + my $mat_values2; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + $mat_values1->[$i][$j] = int(rand(4)); + $mat_values2->[$i][$j] = int(rand(4)); + } + } + + # perform matmul + my $mat_results = mmult( $mat_values1, $mat_values2 ); + + # translate 2d arrays to 1d-somethings (I don't know how to code in perl - Chris) + my @values1; + my @values2; + my @results; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + my $value1 = $mat_values1->[$i][$j]; + my $value2 = $mat_values2->[$i][$j]; + my $result = $mat_results->[$i][$j]; + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @results, $result ); + } + } + + print "\n\#define ARRAY_SIZE ".($opts{"size"}*$opts{"size"})." \n\n"; + print "\n\#define DIM_SIZE ".$opts{"size"}." \n\n"; + + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@results); + +} + +main(); + diff --git a/mt/be_matmul/matmul_mi.c b/mt/be_matmul/matmul_mi.c new file mode 100755 index 0000000..da4b531 --- /dev/null +++ b/mt/be_matmul/matmul_mi.c @@ -0,0 +1,314 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + + int i, j, k , jj , kk; + int start_i = coreid*lda/2; + int end_i = start_i + lda/2; + int step_j, step_k; + int start_k, end_k, start_j, end_j; + int j_lda; + int pos_A , pos_B, pos_C; + data_t temp00, temp01,temp02,temp03,temp04,temp05,temp06,temp07; + data_t temp10, temp11,temp12,temp13,temp14,temp15,temp16,temp17; + data_t temp_A0, temp_A1, temp_A2, temp_A3, temp_A4, temp_A5, temp_A6, temp_A7; + + temp00 = 0; + temp01 = 0; + temp02 = 0; + temp03 = 0; + temp04 = 0; + temp05 = 0; + temp06 = 0; + temp07 = 0; + + temp10 = 0; + temp11 = 0; + temp12 = 0; + temp13 = 0; + temp14 = 0; + temp15 = 0; + temp16 = 0; + temp17 = 0; + + if (coreid == 0) + { + step_k = 1; + start_k= 0; + end_k = lda; + + step_j = 2; + start_j= 0; + end_j = lda; + + }else + { + + step_k = -1; + start_k = lda-1; + end_k = -1; + + step_j = -2; + start_j= lda-2; + end_j = -2; + } + + for( kk = start_k ; kk!= end_k ; kk+=(step_k*16) ) + { + for( jj = start_j ; jj!= end_j ; jj+=(step_j*8) ) + { + for ( i = start_i; i < end_i; i+=8 ) + { + //pos_C = i + jj*lda; + for ( j = jj; j != (jj+(step_j*8)) ; j+=step_j ) + { + + pos_C = i + j*lda; + temp00 = C[(pos_C + 0)]; + temp01 = C[(pos_C + 1)]; + temp02 = C[(pos_C + 2)]; + temp03 = C[(pos_C + 3)]; + temp04 = C[(pos_C + 4)]; + temp05 = C[(pos_C + 5)]; + temp06 = C[(pos_C + 6)]; + temp07 = C[(pos_C + 7)]; + + //pos_C += lda; + pos_C = i + (j+1)*lda; + + temp10 = C[(pos_C + 0)]; + temp11 = C[(pos_C + 1)]; + temp12 = C[(pos_C + 2)]; + temp13 = C[(pos_C + 3)]; + temp14 = C[(pos_C + 4)]; + temp15 = C[(pos_C + 5)]; + temp16 = C[(pos_C + 6)]; + temp17 = C[(pos_C + 7)]; + + pos_B = kk*lda + i; + pos_A = j*lda + kk; + for ( k = kk; k != (kk+(step_k*16)) ; k+=step_k ) + { + temp_A0 = A[ pos_A ] ; + temp_A1 = A[pos_A +lda]; + + temp00 += temp_A0 * B[(pos_B + 0)]; + temp01 += temp_A0 * B[(pos_B + 1)]; + temp02 += temp_A0 * B[(pos_B + 2)]; + temp03 += temp_A0 * B[(pos_B + 3)]; + temp04 += temp_A0 * B[(pos_B + 4)]; + temp05 += temp_A0 * B[(pos_B + 5)]; + temp06 += temp_A0 * B[(pos_B + 6)]; + temp07 += temp_A0 * B[(pos_B + 7)]; + + temp10 += temp_A1 * B[(pos_B + 0)]; + temp11 += temp_A1 * B[(pos_B + 1)]; + temp12 += temp_A1 * B[(pos_B + 2)]; + temp13 += temp_A1 * B[(pos_B + 3)]; + temp14 += temp_A1 * B[(pos_B + 4)]; + temp15 += temp_A1 * B[(pos_B + 5)]; + temp16 += temp_A1 * B[(pos_B + 6)]; + temp17 += temp_A1 * B[(pos_B + 7)]; + + pos_B += (lda*step_k) ; + pos_A += step_k; + } + //barrier(); + + C[(pos_C + 0)] = temp10; + C[(pos_C + 1)] = temp11; + C[(pos_C + 2)] = temp12; + C[(pos_C + 3)] = temp13; + C[(pos_C + 4)] = temp14; + C[(pos_C + 5)] = temp15; + C[(pos_C + 6)] = temp16; + C[(pos_C + 7)] = temp17; + //barrier(); + + pos_C = i + j*lda; + //pos_C -= lda; + C[(pos_C + 0)] = temp00; + C[(pos_C + 1)] = temp01; + C[(pos_C + 2)] = temp02; + C[(pos_C + 3)] = temp03; + C[(pos_C + 4)] = temp04; + C[(pos_C + 5)] = temp05; + C[(pos_C + 6)] = temp06; + C[(pos_C + 7)] = temp07; + //barrier(); + //pos_C += step_j * lda; + } + //barrier(); + } + //barrier(); + + } + //barrier(); + } +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + /* + // Execute the provided, naive matmul + barrier(); + stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + + // clear results from the first trial + size_t i; + if (coreid == 0) + for (i=0; i < ARRAY_SIZE; i++) + results_data[i] = 0; + barrier(); + + */ + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + + + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + + //printf("input1_data"); +exit(0); + +} diff --git a/mt/be_vvadd/be_vvadd.c b/mt/be_vvadd/be_vvadd.c new file mode 100755 index 0000000..1090c5a --- /dev/null +++ b/mt/be_vvadd/be_vvadd.c @@ -0,0 +1,171 @@ +//************************************************************************** +// Vector-vector add benchmark +//-------------------------------------------------------------------------- +// Author : Andrew Waterman +// TA : Christopher Celio +// Student : +// +// This benchmark adds two vectors and writes the results to a +// third vector. The input data (and reference data) should be +// generated using the vvadd_gendata.pl perl script and dumped +// to a file named dataset.h + +// to print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DATA_SIZE, 10*_c/DATA_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %4ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %4ld, correct[%d]= %4ld\n", + i, (long) test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// vvadd function + +//perform in-place vvadd +void __attribute__((noinline)) vvadd(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + size_t i; + + // interleave accesses + for (i = coreid; i < n; i+=ncores) + { + x[i] = x[i] + y[i]; + } +} + +void __attribute__((noinline)) vvadd_opt(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + size_t i; + size_t index; + for (i = 0; i < (n/ncores); i++){ + index = i + coreid*(n/ncores); + x[index] = x[index] + y[index]; + } +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[DATA_SIZE]; + + // because we're going to perform an in-place vvadd (and we're going to run + // it a couple of times) let's copy the input data to a temporary results + // array + + size_t i; + if (coreid == 0) + { + for (i = 0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + + + // Execute the provided, terrible vvadd + barrier(); + stats(vvadd(DATA_SIZE, results_data, input2_data); barrier()); + + + // verify + verify(DATA_SIZE, results_data, verify_data); + + // reset results from the first trial + if (coreid == 0) + { + for (i=0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + barrier(); + + + // Execute your faster vvadd + barrier(); + stats(vvadd_opt(DATA_SIZE, results_data, input2_data); barrier()); + +#ifdef DEBUG + printArray("results: ", DATA_SIZE, results_data); + printArray("verify : ", DATA_SIZE, verify_data); +#endif + + // verify + verify(DATA_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/be_vvadd/dataset.h b/mt/be_vvadd/dataset.h new file mode 100755 index 0000000..ce9f936 --- /dev/null +++ b/mt/be_vvadd/dataset.h @@ -0,0 +1,165 @@ + +#define DATA_SIZE 1000 + +static data_t input1_data[DATA_SIZE] = +{ + 0.00, 15.00, 10.00, 3.00, 14.00, 6.00, 2.00, 18.00, 11.00, 15.00, 11.00, 0.00, 17.00, 16.00, 7.00, 13.00, 18.00, 2.00, 2.00, 5.00, + 8.00, 5.00, 12.00, 14.00, 6.00, 12.00, 16.00, 7.00, 9.00, 17.00, 10.00, 10.00, 3.00, 5.00, 14.00, 11.00, 9.00, 12.00, 3.00, 1.00, + 5.00, 4.00, 6.00, 17.00, 17.00, 4.00, 17.00, 15.00, 17.00, 18.00, 3.00, 18.00, 10.00, 6.00, 12.00, 12.00, 3.00, 2.00, 16.00, 1.00, + 5.00, 6.00, 2.00, 17.00, 16.00, 5.00, 10.00, 18.00, 14.00, 4.00, 9.00, 9.00, 7.00, 4.00, 8.00, 13.00, 12.00, 6.00, 4.00, 17.00, + 5.00, 2.00, 11.00, 11.00, 7.00, 6.00, 8.00, 5.00, 6.00, 6.00, 11.00, 1.00, 18.00, 7.00, 6.00, 9.00, 10.00, 17.00, 14.00, 4.00, + 14.00, 11.00, 2.00, 0.00, 2.00, 17.00, 17.00, 15.00, 10.00, 8.00, 12.00, 18.00, 5.00, 0.00, 0.00, 1.00, 1.00, 8.00, 11.00, 11.00, + 7.00, 5.00, 15.00, 18.00, 15.00, 6.00, 8.00, 9.00, 18.00, 6.00, 15.00, 16.00, 10.00, 18.00, 13.00, 6.00, 10.00, 16.00, 0.00, 10.00, + 12.00, 8.00, 8.00, 3.00, 0.00, 1.00, 4.00, 0.00, 8.00, 15.00, 16.00, 9.00, 7.00, 7.00, 10.00, 9.00, 16.00, 12.00, 5.00, 5.00, + 9.00, 5.00, 17.00, 4.00, 13.00, 13.00, 4.00, 14.00, 10.00, 5.00, 10.00, 10.00, 6.00, 18.00, 5.00, 15.00, 5.00, 15.00, 13.00, 18.00, + 6.00, 13.00, 5.00, 18.00, 12.00, 14.00, 1.00, 7.00, 2.00, 1.00, 7.00, 12.00, 15.00, 15.00, 6.00, 2.00, 1.00, 2.00, 18.00, 6.00, + 10.00, 14.00, 9.00, 15.00, 11.00, 0.00, 3.00, 1.00, 2.00, 2.00, 14.00, 7.00, 18.00, 0.00, 2.00, 2.00, 16.00, 8.00, 4.00, 5.00, + 7.00, 11.00, 7.00, 10.00, 14.00, 10.00, 3.00, 0.00, 13.00, 9.00, 14.00, 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9.00, 18.00, 11.00, 8.00, 4.00, 14.00, 6.00, + 17.00, 2.00, 6.00, 8.00, 11.00, 13.00, 6.00, 18.00, 17.00, 6.00, 8.00, 0.00, 1.00, 14.00, 18.00, 4.00, 0.00, 4.00, 3.00, 3.00, + 16.00, 8.00, 16.00, 1.00, 2.00, 0.00, 15.00, 14.00, 10.00, 9.00, 15.00, 3.00, 5.00, 18.00, 5.00, 6.00, 7.00, 3.00, 7.00, 2.00, + 6.00, 12.00, 10.00, 10.00, 18.00, 16.00, 0.00, 9.00, 17.00, 10.00, 9.00, 14.00, 15.00, 5.00, 8.00, 15.00, 3.00, 15.00, 14.00, 11.00, + 6.00, 6.00, 14.00, 0.00, 14.00, 0.00, 7.00, 12.00, 8.00, 7.00, 1.00, 3.00, 6.00, 10.00, 12.00, 1.00, 16.00, 5.00, 5.00, 6.00, + 17.00, 15.00, 15.00, 9.00, 4.00, 18.00, 17.00, 13.00, 12.00, 9.00, 7.00, 10.00, 2.00, 5.00, 8.00, 18.00, 1.00, 15.00, 8.00, 0.00 +}; + +static data_t verify_data[DATA_SIZE] = +{ + 8.00, 21.00, 10.00, 21.00, 20.00, 16.00, 3.00, 20.00, 15.00, 17.00, 15.00, 10.00, 23.00, 27.00, 24.00, 17.00, 18.00, 18.00, 16.00, 17.00, + 17.00, 13.00, 25.00, 29.00, 24.00, 14.00, 29.00, 17.00, 14.00, 21.00, 22.00, 19.00, 4.00, 18.00, 26.00, 18.00, 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31.00, + 21.00, 31.00, 12.00, 34.00, 28.00, 15.00, 2.00, 19.00, 14.00, 3.00, 9.00, 13.00, 22.00, 19.00, 6.00, 10.00, 19.00, 6.00, 29.00, 12.00, + 27.00, 27.00, 21.00, 20.00, 27.00, 12.00, 3.00, 10.00, 12.00, 12.00, 32.00, 19.00, 26.00, 7.00, 7.00, 10.00, 32.00, 11.00, 13.00, 23.00, + 19.00, 24.00, 25.00, 16.00, 22.00, 22.00, 5.00, 12.00, 21.00, 17.00, 23.00, 18.00, 22.00, 1.00, 12.00, 18.00, 8.00, 21.00, 6.00, 20.00, + 28.00, 8.00, 27.00, 10.00, 25.00, 13.00, 21.00, 25.00, 13.00, 32.00, 33.00, 16.00, 11.00, 4.00, 28.00, 20.00, 11.00, 23.00, 19.00, 28.00, + 22.00, 14.00, 21.00, 11.00, 14.00, 22.00, 1.00, 11.00, 7.00, 11.00, 20.00, 30.00, 13.00, 23.00, 23.00, 16.00, 9.00, 20.00, 29.00, 20.00, + 21.00, 27.00, 13.00, 26.00, 8.00, 17.00, 19.00, 9.00, 10.00, 6.00, 6.00, 18.00, 13.00, 17.00, 28.00, 17.00, 21.00, 22.00, 5.00, 15.00, + 17.00, 14.00, 9.00, 14.00, 18.00, 17.00, 8.00, 17.00, 23.00, 20.00, 2.00, 0.00, 27.00, 16.00, 15.00, 21.00, 20.00, 25.00, 17.00, 12.00, + 22.00, 24.00, 21.00, 8.00, 14.00, 28.00, 29.00, 19.00, 8.00, 24.00, 4.00, 11.00, 13.00, 2.00, 23.00, 29.00, 13.00, 34.00, 27.00, 22.00, + 17.00, 3.00, 21.00, 15.00, 13.00, 25.00, 18.00, 20.00, 12.00, 10.00, 27.00, 28.00, 22.00, 22.00, 14.00, 6.00, 25.00, 29.00, 15.00, 12.00, + 28.00, 11.00, 15.00, 5.00, 4.00, 20.00, 10.00, 4.00, 22.00, 3.00, 27.00, 31.00, 29.00, 20.00, 7.00, 3.00, 7.00, 28.00, 17.00, 14.00, + 17.00, 10.00, 8.00, 7.00, 12.00, 21.00, 34.00, 20.00, 9.00, 22.00, 19.00, 21.00, 25.00, 24.00, 18.00, 14.00, 23.00, 23.00, 9.00, 15.00, + 19.00, 7.00, 20.00, 32.00, 20.00, 27.00, 27.00, 30.00, 27.00, 32.00, 8.00, 19.00, 21.00, 28.00, 16.00, 25.00, 13.00, 22.00, 24.00, 13.00, + 21.00, 16.00, 10.00, 23.00, 21.00, 11.00, 25.00, 19.00, 21.00, 14.00, 14.00, 26.00, 30.00, 12.00, 5.00, 26.00, 22.00, 11.00, 7.00, 16.00, + 12.00, 22.00, 14.00, 23.00, 21.00, 28.00, 31.00, 20.00, 1.00, 23.00, 30.00, 32.00, 16.00, 14.00, 9.00, 23.00, 21.00, 31.00, 3.00, 23.00, + 17.00, 7.00, 22.00, 6.00, 30.00, 4.00, 7.00, 22.00, 17.00, 17.00, 19.00, 18.00, 31.00, 11.00, 18.00, 11.00, 22.00, 12.00, 29.00, 15.00, + 35.00, 11.00, 12.00, 17.00, 18.00, 29.00, 17.00, 33.00, 33.00, 15.00, 27.00, 20.00, 29.00, 14.00, 23.00, 15.00, 21.00, 18.00, 20.00, 17.00, + 24.00, 5.00, 29.00, 13.00, 19.00, 18.00, 19.00, 13.00, 5.00, 16.00, 22.00, 14.00, 25.00, 21.00, 7.00, 17.00, 19.00, 15.00, 5.00, 16.00, + 33.00, 28.00, 10.00, 24.00, 24.00, 13.00, 11.00, 17.00, 12.00, 28.00, 21.00, 5.00, 19.00, 25.00, 13.00, 5.00, 10.00, 25.00, 21.00, 17.00, + 13.00, 20.00, 9.00, 16.00, 24.00, 18.00, 16.00, 22.00, 19.00, 10.00, 0.00, 14.00, 21.00, 24.00, 23.00, 10.00, 33.00, 23.00, 21.00, 17.00, + 17.00, 19.00, 26.00, 22.00, 12.00, 27.00, 31.00, 23.00, 6.00, 32.00, 12.00, 10.00, 9.00, 19.00, 18.00, 18.00, 20.00, 24.00, 17.00, 7.00, + 21.00, 27.00, 14.00, 20.00, 5.00, 19.00, 11.00, 18.00, 25.00, 1.00, 12.00, 21.00, 13.00, 26.00, 20.00, 3.00, 17.00, 28.00, 18.00, 16.00, + 13.00, 11.00, 11.00, 24.00, 2.00, 27.00, 18.00, 19.00, 18.00, 16.00, 25.00, 15.00, 9.00, 19.00, 26.00, 24.00, 19.00, 13.00, 16.00, 12.00, + 25.00, 12.00, 12.00, 24.00, 20.00, 9.00, 22.00, 6.00, 13.00, 11.00, 11.00, 20.00, 11.00, 22.00, 3.00, 17.00, 25.00, 14.00, 25.00, 16.00, + 3.00, 16.00, 23.00, 24.00, 24.00, 29.00, 24.00, 6.00, 12.00, 14.00, 23.00, 29.00, 23.00, 26.00, 14.00, 35.00, 17.00, 20.00, 12.00, 25.00, + 2.00, 29.00, 16.00, 3.00, 17.00, 32.00, 30.00, 5.00, 31.00, 25.00, 24.00, 29.00, 22.00, 26.00, 7.00, 14.00, 6.00, 11.00, 32.00, 1.00, + 18.00, 12.00, 20.00, 16.00, 15.00, 20.00, 19.00, 30.00, 23.00, 11.00, 12.00, 24.00, 13.00, 27.00, 2.00, 3.00, 36.00, 9.00, 13.00, 14.00, + 16.00, 23.00, 23.00, 24.00, 13.00, 22.00, 18.00, 26.00, 24.00, 22.00, 28.00, 23.00, 25.00, 28.00, 7.00, 14.00, 31.00, 15.00, 23.00, 25.00, + 15.00, 20.00, 15.00, 19.00, 8.00, 27.00, 25.00, 19.00, 21.00, 28.00, 11.00, 14.00, 25.00, 24.00, 11.00, 29.00, 19.00, 25.00, 16.00, 33.00, + 18.00, 9.00, 3.00, 13.00, 13.00, 13.00, 21.00, 20.00, 23.00, 7.00, 11.00, 18.00, 25.00, 26.00, 30.00, 12.00, 21.00, 21.00, 27.00, 14.00, + 21.00, 31.00, 3.00, 21.00, 14.00, 20.00, 30.00, 20.00, 21.00, 32.00, 27.00, 24.00, 16.00, 31.00, 5.00, 20.00, 14.00, 17.00, 15.00, 16.00, + 19.00, 13.00, 4.00, 21.00, 20.00, 29.00, 10.00, 22.00, 19.00, 24.00, 29.00, 14.00, 10.00, 15.00, 18.00, 7.00, 28.00, 17.00, 7.00, 2.00, + 1.00, 19.00, 17.00, 23.00, 31.00, 13.00, 20.00, 36.00, 17.00, 27.00, 28.00, 18.00, 20.00, 29.00, 17.00, 23.00, 24.00, 23.00, 26.00, 17.00, + 9.00, 26.00, 16.00, 18.00, 10.00, 28.00, 32.00, 20.00, 19.00, 14.00, 22.00, 23.00, 13.00, 22.00, 14.00, 7.00, 20.00, 10.00, 25.00, 9.00, + 7.00, 2.00, 31.00, 16.00, 16.00, 22.00, 5.00, 15.00, 26.00, 23.00, 10.00, 18.00, 32.00, 24.00, 15.00, 30.00, 16.00, 13.00, 15.00, 7.00, + 11.00, 6.00, 21.00, 14.00, 25.00, 21.00, 11.00, 16.00, 14.00, 26.00, 25.00, 15.00, 22.00, 24.00, 4.00, 19.00, 14.00, 26.00, 22.00, 17.00, + 13.00, 14.00, 7.00, 32.00, 20.00, 33.00, 13.00, 7.00, 29.00, 8.00, 26.00, 6.00, 9.00, 13.00, 22.00, 23.00, 8.00, 22.00, 22.00, 10.00, + 24.00, 2.00, 17.00, 9.00, 22.00, 30.00, 24.00, 33.00, 25.00, 17.00, 23.00, 9.00, 13.00, 15.00, 23.00, 10.00, 1.00, 22.00, 17.00, 10.00, + 32.00, 24.00, 26.00, 4.00, 15.00, 0.00, 27.00, 23.00, 28.00, 23.00, 30.00, 7.00, 16.00, 33.00, 20.00, 14.00, 23.00, 14.00, 20.00, 14.00, + 7.00, 25.00, 24.00, 12.00, 29.00, 16.00, 17.00, 20.00, 29.00, 16.00, 13.00, 18.00, 26.00, 18.00, 18.00, 17.00, 13.00, 29.00, 14.00, 17.00, + 24.00, 16.00, 21.00, 14.00, 26.00, 9.00, 11.00, 28.00, 25.00, 15.00, 15.00, 12.00, 6.00, 14.00, 27.00, 14.00, 24.00, 18.00, 18.00, 14.00, + 32.00, 21.00, 26.00, 13.00, 6.00, 24.00, 22.00, 27.00, 17.00, 26.00, 19.00, 21.00, 19.00, 9.00, 21.00, 25.00, 17.00, 27.00, 15.00, 18.00 +}; + diff --git a/mt/be_vvadd/vvadd_gendata.pl b/mt/be_vvadd/vvadd_gendata.pl new file mode 100755 index 0000000..a9fceac --- /dev/null +++ b/mt/be_vvadd/vvadd_gendata.pl @@ -0,0 +1,139 @@ +#!/usr/bin/perl -w +#========================================================================== +# vvadd_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the vvadd benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: vvadd_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[DATA_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3.2f",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + my @values1; + my @values2; + my @sum; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + my $value1 = int(rand(19)); + my $value2 = int(rand(19)); + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @sum, $value1 + $value2 ); + } + + + print "\n\#define DATA_SIZE ".$opts{"size"}." \n\n"; + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@sum ); + +} + +main(); + diff --git a/mt/bf_matmul/bf_matmul.c b/mt/bf_matmul/bf_matmul.c new file mode 100644 index 0000000..0bab50c --- /dev/null +++ b/mt/bf_matmul/bf_matmul.c @@ -0,0 +1,279 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + int j, k, i; + data_t temp0, temp1, temp2, temp3, temp4, temp5, temp6, temp7; + data_t temp8, temp9, temp10, temp11, temp12, temp13, temp14, temp15; + if(coreid == 0) { + for(j = 0; j < 32; j++) { + temp0 = 0; //C[j*lda]; + temp1 = 0; //C[1 + j*lda]; + temp2 = 0; //C[2 + j*lda]; + temp3 = 0; //C[3 + j*lda]; + temp4 = 0; //C[4 + j*lda]; + temp5 = 0; //C[5 + j*lda]; + temp6 = 0; //C[6 + j*lda]; + temp7 = 0; //C[7 + j*lda]; + temp8 = 0; //C[8 + j*lda]; + temp9 = 0; //C[9 + j*lda]; + temp10 = 0; //C[10 + j*lda]; + temp11 = 0; //C[11 + j*lda]; + temp12 = 0; //C[12 + j*lda]; + temp13 = 0; //C[13 + j*lda]; + temp14 = 0; //C[14 + j*lda]; + temp15 = 0; //C[15 + j*lda]; + for(k = 0; k < 32; k++) { + temp0 += A[j*lda + k] * B[k*lda]; + temp1 += A[j*lda + k] * B[1+k*lda]; + temp2 += A[j*lda + k] * B[2+k*lda]; + temp3 += A[j*lda + k] * B[3+k*lda]; + temp4 += A[j*lda + k] * B[4+k*lda]; + temp5 += A[j*lda + k] * B[5+k*lda]; + temp6 += A[j*lda + k] * B[6+k*lda]; + temp7 += A[j*lda + k] * B[7+k*lda]; + temp8 += A[j*lda + k] * B[8+k*lda]; + temp9 += A[j*lda + k] * B[9+k*lda]; + temp10 += A[j*lda + k] * B[10+k*lda]; + temp11 += A[j*lda + k] * B[11+k*lda]; + temp12 += A[j*lda + k] * B[12+k*lda]; + temp13 += A[j*lda + k] * B[13+k*lda]; + temp14 += A[j*lda + k] * B[14+k*lda]; + temp15 += A[j*lda + k] * B[15+k*lda]; + } + C[j*lda] = temp0; + C[1 + j*lda] = temp1; + C[2 + j*lda] = temp2; + C[3 + j*lda] = temp3; + C[4 + j*lda] = temp4; + C[5 + j*lda] = temp5; + C[6 + j*lda] = temp6; + C[7 + j*lda] = temp7; + C[8 + j*lda] = temp8; + C[9 + j*lda] = temp9; + C[10 + j*lda] = temp10; + C[11 + j*lda] = temp11; + C[12 + j*lda] = temp12; + C[13 + j*lda] = temp13; + C[14 + j*lda] = temp14; + C[15 + j*lda] = temp15; + } + } + + else { + for(j = 0; j < 32; j++) { + temp0 = 0; //C[16+j*lda]; + temp1 = 0; //C[17+j*lda]; + temp2 = 0; //C[18+j*lda]; + temp3 = 0; //C[19+j*lda]; + temp4 = 0; //C[20+j*lda]; + temp5 = 0; //C[21+j*lda]; + temp6 = 0; //C[22+j*lda]; + temp7 = 0; //C[23+j*lda]; + temp8 = 0; //C[24+j*lda]; + temp9 = 0; //C[25+j*lda]; + temp10 = 0; //C[26+j*lda]; + temp11 = 0; //C[27+j*lda]; + temp12 = 0; //C[28+j*lda]; + temp13 = 0; //C[29+j*lda]; + temp14 = 0; //C[30+j*lda]; + temp15 = 0; //C[31+j*lda]; + for(k = 0; k < 32; k++) { + temp0 += A[j*lda + k] * B[16+k*lda]; + temp1 += A[j*lda + k] * B[17+k*lda]; + temp2 += A[j*lda + k] * B[18+k*lda]; + temp3 += A[j*lda + k] * B[19+k*lda]; + temp4 += A[j*lda + k] * B[20+k*lda]; + temp5 += A[j*lda + k] * B[21+k*lda]; + temp6 += A[j*lda + k] * B[22+k*lda]; + temp7 += A[j*lda + k] * B[23+k*lda]; + temp8 += A[j*lda + k] * B[24+k*lda]; + temp9 += A[j*lda + k] * B[25+k*lda]; + temp10 += A[j*lda + k] * B[26+k*lda]; + temp11 += A[j*lda + k] * B[27+k*lda]; + temp12 += A[j*lda + k] * B[28+k*lda]; + temp13 += A[j*lda + k] * B[29+k*lda]; + temp14 += A[j*lda + k] * B[30+k*lda]; + temp15 += A[j*lda + k] * B[31+k*lda]; + } + C[16 + j*lda] = temp0; + C[17 + j*lda] = temp1; + C[18 + j*lda] = temp2; + C[19 + j*lda] = temp3; + C[20 + j*lda] = temp4; + C[21 + j*lda] = temp5; + C[22 + j*lda] = temp6; + C[23 + j*lda] = temp7; + C[24 + j*lda] = temp8; + C[25 + j*lda] = temp9; + C[26 + j*lda] = temp10; + C[27 + j*lda] = temp11; + C[28 + j*lda] = temp12; + C[29 + j*lda] = temp13; + C[30 + j*lda] = temp14; + C[31 + j*lda] = temp15; + } + } + +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + +// // Execute the provided, naive matmul +// barrier(); +// stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); +// +// +// // verify +// verify(ARRAY_SIZE, results_data, verify_data); +// +// // clear results from the first trial +// size_t i; +// if (coreid == 0) +// for (i=0; i < ARRAY_SIZE; i++) +// results_data[i] = 0; +// barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/bf_matmul/dataset.h b/mt/bf_matmul/dataset.h new file mode 100755 index 0000000..dde3ee4 --- /dev/null +++ b/mt/bf_matmul/dataset.h @@ -0,0 +1,174 @@ + +#define ARRAY_SIZE 1024 + + +#define DIM_SIZE 32 + +static data_t input1_data[ARRAY_SIZE] = +{ + 0, 3, 2, 0, 3, 1, 0, 3, 2, 3, 2, 0, 3, 3, 1, 2, 3, 0, 0, 1, + 1, 1, 2, 3, 1, 2, 3, 1, 1, 3, 2, 2, 0, 1, 3, 2, 2, 2, 0, 0, + 1, 0, 1, 3, 3, 0, 3, 3, 3, 3, 0, 3, 2, 1, 2, 2, 0, 0, 3, 0, + 1, 1, 0, 3, 3, 1, 2, 3, 3, 0, 1, 2, 1, 0, 1, 2, 2, 1, 0, 3, + 1, 0, 2, 2, 1, 1, 1, 1, 1, 1, 2, 0, 3, 1, 1, 2, 2, 3, 3, 1, + 3, 2, 0, 0, 0, 3, 3, 3, 2, 1, 2, 3, 1, 0, 0, 0, 0, 1, 2, 2, + 1, 1, 3, 3, 3, 1, 1, 2, 3, 1, 3, 3, 2, 3, 2, 1, 2, 3, 0, 2, + 2, 1, 1, 0, 0, 0, 0, 0, 1, 3, 3, 1, 1, 1, 2, 2, 3, 2, 1, 1, + 1, 1, 3, 0, 2, 2, 1, 3, 2, 1, 2, 2, 1, 3, 1, 3, 1, 3, 2, 3, + 1, 2, 1, 3, 2, 2, 0, 1, 0, 0, 1, 2, 3, 3, 1, 0, 0, 0, 3, 1, + 2, 3, 2, 3, 2, 0, 0, 0, 0, 0, 3, 1, 3, 0, 0, 0, 3, 1, 1, 1, + 1, 2, 1, 2, 3, 2, 0, 0, 2, 2, 3, 0, 3, 0, 0, 3, 0, 3, 1, 3, + 3, 1, 1, 1, 2, 2, 1, 3, 0, 3, 3, 1, 0, 0, 3, 2, 1, 3, 3, 3, + 1, 0, 1, 1, 2, 1, 0, 1, 1, 2, 2, 3, 1, 2, 2, 2, 0, 1, 3, 3, + 3, 2, 2, 1, 0, 1, 2, 0, 1, 1, 1, 1, 2, 3, 2, 2, 3, 3, 0, 0, + 2, 0, 0, 0, 3, 0, 1, 0, 3, 0, 0, 0, 3, 0, 0, 2, 0, 2, 0, 0, + 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 0, 2, 0, 0, 3, 3, 2, 3, 3, 0, + 1, 0, 2, 2, 0, 3, 3, 1, 1, 0, 2, 3, 2, 1, 1, 0, 1, 2, 1, 2, + 2, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 3, 3, 2, 0, 0, 1, 3, 0, 3, + 3, 0, 0, 0, 0, 3, 3, 1, 0, 0, 3, 3, 2, 1, 2, 1, 3, 3, 0, 1, + 3, 0, 2, 3, 1, 3, 3, 3, 3, 3, 0, 1, 1, 3, 0, 2, 2, 3, 1, 2, + 2, 2, 1, 3, 3, 0, 3, 0, 0, 2, 0, 2, 3, 0, 1, 3, 2, 2, 0, 0, + 2, 3, 0, 2, 2, 2, 3, 1, 0, 3, 3, 3, 3, 1, 0, 3, 3, 2, 0, 3, + 2, 0, 3, 0, 2, 0, 0, 2, 2, 1, 0, 2, 3, 1, 1, 1, 1, 2, 3, 3, + 3, 0, 0, 3, 3, 3, 2, 3, 3, 1, 2, 2, 3, 1, 2, 1, 1, 3, 0, 1, + 2, 0, 2, 0, 0, 1, 3, 2, 0, 1, 3, 2, 3, 3, 0, 0, 0, 1, 0, 3, + 3, 2, 2, 2, 1, 1, 2, 2, 1, 3, 2, 0, 1, 3, 2, 0, 2, 1, 3, 0, + 0, 0, 1, 3, 3, 2, 2, 2, 3, 1, 0, 0, 1, 1, 2, 1, 3, 1, 1, 2, + 2, 3, 2, 3, 0, 2, 3, 3, 0, 3, 0, 0, 1, 0, 0, 0, 1, 3, 1, 1, + 2, 3, 2, 1, 1, 2, 2, 2, 3, 0, 1, 1, 2, 1, 2, 0, 2, 3, 1, 3, + 0, 1, 1, 3, 0, 2, 3, 0, 1, 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 2, + 3, 0, 1, 1, 1, 1, 2, 0, 1, 2, 0, 1, 1, 1, 0, 1, 3, 2, 3, 1, + 0, 2, 1, 2, 1, 3, 3, 1, 0, 2, 2, 3, 1, 3, 1, 3, 0, 1, 0, 3, + 0, 3, 2, 0, 3, 3, 3, 0, 3, 2, 2, 2, 1, 3, 0, 0, 1, 1, 3, 0, + 1, 2, 1, 0, 0, 0, 3, 2, 2, 0, 0, 2, 1, 3, 0, 0, 3, 0, 0, 2, + 1, 1, 2, 2, 1, 3, 2, 2, 1, 1, 2, 1, 3, 2, 1, 1, 3, 0, 1, 3, + 3, 2, 2, 1, 0, 3, 2, 2, 2, 3, 0, 1, 3, 3, 2, 3, 0, 3, 2, 3, + 1, 1, 0, 0, 0, 2, 3, 0, 3, 0, 1, 1, 3, 1, 3, 2, 1, 1, 2, 1, + 3, 2, 0, 2, 1, 0, 2, 3, 2, 3, 2, 1, 2, 3, 0, 0, 1, 1, 0, 0, + 2, 1, 0, 1, 2, 2, 2, 2, 0, 3, 3, 1, 0, 0, 0, 0, 3, 1, 1, 0, + 0, 0, 0, 1, 2, 2, 1, 3, 0, 2, 3, 2, 3, 2, 2, 1, 2, 2, 3, 3, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 2, 2, 3, 1, 1, 1, 0, 0, 0, 3, 0, + 1, 0, 3, 1, 1, 3, 0, 1, 2, 2, 0, 0, 3, 3, 3, 3, 2, 1, 0, 0, + 1, 0, 2, 0, 1, 1, 0, 0, 3, 3, 2, 1, 1, 1, 0, 1, 1, 2, 2, 1, + 1, 2, 0, 3, 1, 3, 1, 0, 3, 0, 3, 1, 1, 1, 0, 2, 0, 3, 1, 0, + 1, 0, 2, 0, 2, 3, 3, 3, 1, 2, 3, 2, 2, 0, 1, 1, 0, 3, 3, 1, + 3, 3, 2, 0, 2, 0, 2, 2, 3, 3, 3, 0, 2, 3, 3, 1, 3, 2, 2, 2, + 0, 2, 3, 0, 2, 0, 3, 2, 2, 1, 1, 0, 2, 2, 2, 0, 2, 2, 0, 1, + 3, 2, 1, 3, 2, 2, 0, 3, 3, 1, 2, 2, 0, 0, 3, 2, 1, 2, 2, 1, + 3, 1, 2, 0, 0, 1, 1, 2, 1, 3, 2, 2, 3, 0, 2, 1, 3, 2, 1, 3, + 2, 3, 3, 1, 2, 1, 2, 2, 0, 0, 0, 3, 0, 2, 3, 1, 0, 0, 2, 3, + 3, 2, 2, 1 +}; + +static data_t input2_data[ARRAY_SIZE] = +{ + 1, 1, 0, 3, 1, 2, 0, 0, 0, 0, 0, 2, 1, 2, 3, 0, 0, 3, 3, 2, + 2, 1, 2, 3, 3, 0, 2, 2, 1, 1, 2, 2, 0, 2, 2, 1, 2, 3, 2, 2, + 3, 3, 2, 2, 1, 1, 1, 1, 2, 1, 2, 2, 3, 3, 3, 0, 0, 3, 2, 3, + 2, 3, 1, 2, 1, 1, 2, 2, 0, 1, 0, 3, 2, 1, 1, 1, 2, 0, 1, 2, + 2, 0, 2, 1, 3, 3, 2, 3, 2, 0, 3, 1, 3, 3, 2, 0, 1, 0, 1, 1, + 2, 2, 1, 1, 2, 2, 1, 2, 3, 3, 1, 3, 2, 2, 2, 3, 3, 1, 0, 2, + 1, 0, 0, 0, 1, 1, 2, 0, 3, 2, 3, 3, 0, 2, 3, 1, 0, 0, 2, 1, + 2, 0, 2, 1, 1, 2, 3, 1, 3, 2, 1, 0, 0, 0, 0, 0, 2, 2, 0, 2, + 1, 2, 0, 3, 2, 2, 0, 0, 3, 2, 1, 1, 3, 0, 2, 0, 0, 1, 0, 2, + 3, 3, 1, 3, 3, 0, 0, 2, 2, 0, 0, 0, 1, 0, 0, 1, 3, 0, 2, 1, + 3, 2, 2, 1, 3, 2, 0, 1, 2, 2, 3, 2, 1, 1, 1, 1, 3, 0, 1, 3, + 2, 2, 3, 1, 1, 2, 0, 2, 1, 1, 2, 3, 1, 0, 1, 0, 1, 1, 0, 0, + 2, 0, 3, 0, 3, 0, 3, 2, 2, 3, 3, 2, 1, 0, 2, 2, 1, 1, 0, 3, + 3, 2, 2, 0, 0, 3, 0, 1, 0, 0, 1, 2, 0, 1, 3, 0, 1, 2, 2, 0, + 0, 3, 0, 3, 0, 1, 1, 2, 0, 0, 0, 3, 0, 0, 2, 1, 1, 1, 0, 2, + 1, 3, 1, 2, 0, 3, 0, 3, 1, 3, 0, 0, 2, 2, 2, 2, 3, 3, 2, 1, + 2, 2, 1, 1, 2, 2, 2, 2, 0, 3, 0, 0, 2, 0, 1, 2, 0, 3, 2, 3, + 2, 0, 2, 1, 2, 1, 0, 2, 1, 1, 3, 2, 2, 3, 1, 0, 3, 3, 1, 0, + 3, 2, 2, 0, 0, 3, 0, 0, 2, 0, 3, 2, 3, 1, 1, 0, 0, 2, 3, 0, + 0, 1, 1, 1, 2, 1, 3, 2, 1, 3, 0, 1, 3, 3, 1, 1, 1, 1, 1, 1, + 0, 0, 2, 3, 2, 2, 2, 3, 2, 3, 1, 2, 3, 2, 2, 2, 0, 1, 3, 0, + 1, 1, 0, 1, 0, 1, 1, 3, 3, 1, 2, 2, 3, 2, 0, 2, 2, 0, 1, 3, + 0, 1, 3, 2, 1, 3, 3, 2, 0, 1, 3, 2, 0, 2, 1, 1, 0, 3, 0, 1, + 1, 1, 1, 1, 3, 0, 0, 1, 0, 2, 3, 1, 3, 0, 2, 1, 3, 0, 3, 0, + 3, 2, 2, 0, 0, 2, 1, 3, 3, 2, 3, 2, 2, 1, 2, 2, 3, 0, 3, 2, + 2, 0, 3, 2, 3, 2, 0, 0, 1, 2, 0, 0, 2, 0, 0, 3, 3, 2, 0, 0, + 3, 3, 0, 2, 3, 1, 0, 1, 0, 2, 1, 0, 2, 1, 0, 1, 0, 3, 0, 2, + 2, 3, 0, 0, 2, 1, 0, 1, 0, 0, 0, 2, 2, 3, 2, 0, 3, 3, 2, 1, + 0, 0, 3, 1, 2, 3, 3, 1, 0, 3, 1, 1, 0, 3, 3, 3, 2, 2, 2, 0, + 1, 2, 0, 3, 0, 1, 0, 1, 1, 0, 1, 2, 0, 3, 2, 0, 1, 2, 2, 0, + 2, 0, 0, 1, 0, 3, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 1, 1, 1, 0, + 2, 1, 1, 3, 2, 0, 2, 1, 1, 0, 2, 2, 1, 3, 0, 2, 1, 0, 1, 2, + 0, 1, 3, 2, 3, 2, 1, 0, 2, 0, 2, 2, 3, 1, 1, 3, 2, 3, 2, 2, + 0, 2, 0, 0, 0, 3, 2, 0, 2, 2, 3, 3, 3, 2, 1, 2, 0, 0, 3, 0, + 2, 0, 3, 2, 2, 3, 0, 3, 2, 1, 2, 2, 1, 2, 0, 0, 3, 1, 2, 0, + 2, 3, 2, 2, 1, 1, 1, 3, 3, 3, 3, 3, 1, 3, 0, 1, 3, 2, 2, 1, + 0, 1, 1, 2, 1, 2, 3, 1, 2, 2, 1, 2, 1, 1, 0, 3, 3, 1, 1, 3, + 2, 0, 0, 1, 2, 0, 1, 3, 1, 0, 0, 2, 2, 3, 3, 0, 2, 3, 2, 1, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 3, 3, 3, 1, 3, 0, 3, 1, 1, 2, 2, + 2, 1, 0, 3, 2, 3, 0, 2, 3, 2, 3, 1, 2, 3, 3, 1, 2, 1, 0, 0, + 0, 3, 3, 3, 3, 0, 3, 3, 3, 3, 2, 1, 0, 3, 0, 3, 2, 3, 1, 0, + 0, 1, 3, 1, 0, 2, 2, 3, 1, 0, 2, 1, 1, 3, 1, 1, 3, 1, 2, 1, + 0, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 3, 3, 1, 0, 3, 1, 1, 2, 0, + 0, 0, 2, 3, 3, 2, 2, 3, 0, 2, 3, 1, 3, 3, 0, 2, 1, 2, 2, 2, + 1, 0, 1, 3, 2, 3, 1, 1, 2, 1, 1, 0, 0, 2, 3, 2, 1, 0, 3, 1, + 3, 0, 1, 1, 2, 2, 1, 3, 3, 1, 1, 0, 0, 3, 3, 0, 0, 0, 0, 0, + 3, 1, 3, 0, 0, 0, 3, 3, 2, 1, 3, 0, 1, 3, 1, 1, 1, 0, 1, 0, + 1, 2, 2, 2, 3, 3, 0, 2, 3, 2, 1, 3, 3, 1, 1, 3, 0, 3, 3, 2, + 1, 1, 2, 0, 3, 0, 1, 2, 1, 1, 0, 0, 1, 2, 2, 0, 3, 1, 1, 1, + 3, 3, 3, 1, 0, 3, 3, 2, 2, 2, 1, 2, 0, 1, 1, 3, 0, 3, 1, 0, + 2, 2, 0, 1, 2, 3, 2, 1, 2, 0, 3, 2, 1, 3, 0, 1, 2, 0, 3, 0, + 1, 1, 2, 1 +}; + +static data_t verify_data[ARRAY_SIZE] = +{ + 72, 75, 88, 101, 80, 88, 73, 75, 80, 81, 58, 75, 86, 65, 60, 80, 84, 83, 87, 83, + 108, 93, 85, 76, 72, 98, 79, 86, 80, 96, 91, 85, 72, 64, 70, 83, 68, 92, 51, 54, + 85, 85, 60, 58, 90, 64, 55, 69, 72, 48, 94, 77, 91, 83, 70, 69, 67, 77, 59, 50, + 67, 74, 77, 67, 67, 62, 72, 71, 68, 79, 54, 61, 67, 61, 55, 62, 78, 60, 53, 64, + 67, 69, 99, 68, 88, 60, 66, 63, 70, 62, 65, 50, 53, 66, 70, 72, 75, 78, 85, 95, + 71, 89, 70, 68, 86, 88, 58, 77, 84, 70, 65, 68, 73, 75, 91, 96, 105, 92, 76, 68, + 86, 69, 80, 59, 73, 83, 88, 75, 64, 63, 71, 99, 77, 77, 69, 55, 80, 73, 54, 73, + 87, 78, 60, 69, 65, 78, 86, 89, 95, 92, 63, 69, 89, 61, 80, 65, 70, 77, 89, 77, + 79, 79, 73, 92, 64, 81, 60, 78, 81, 80, 61, 63, 89, 65, 56, 83, 77, 65, 102, 70, + 98, 86, 96, 68, 72, 89, 73, 73, 70, 89, 84, 76, 48, 61, 63, 70, 70, 79, 50, 53, + 64, 63, 43, 51, 59, 62, 43, 63, 55, 77, 79, 74, 75, 74, 64, 44, 65, 69, 72, 66, + 54, 71, 74, 72, 69, 76, 68, 89, 94, 75, 65, 53, 85, 79, 65, 74, 82, 73, 58, 70, + 84, 77, 99, 72, 92, 84, 78, 62, 59, 83, 71, 74, 63, 85, 80, 78, 71, 72, 79, 83, + 73, 82, 60, 85, 76, 82, 60, 70, 82, 68, 54, 85, 84, 70, 86, 74, 100, 88, 98, 68, + 67, 87, 69, 73, 68, 88, 76, 71, 47, 43, 47, 80, 54, 65, 40, 37, 59, 53, 33, 48, + 62, 40, 36, 55, 36, 62, 53, 57, 70, 69, 45, 43, 53, 61, 42, 57, 56, 63, 51, 47, + 59, 75, 64, 89, 83, 75, 59, 75, 91, 92, 58, 64, 83, 74, 58, 60, 76, 66, 97, 69, + 90, 95, 92, 64, 78, 75, 77, 73, 65, 78, 82, 75, 47, 54, 59, 71, 59, 56, 53, 42, + 60, 55, 40, 51, 60, 46, 36, 59, 46, 57, 67, 43, 51, 53, 53, 38, 54, 56, 55, 48, + 41, 46, 63, 63, 80, 77, 89, 102, 89, 98, 74, 86, 98, 93, 63, 76, 98, 77, 48, 101, + 86, 88, 100, 82, 102, 90, 95, 75, 86, 103, 83, 98, 80, 104, 98, 86, 71, 74, 80, 90, + 86, 87, 73, 70, 81, 83, 55, 66, 90, 66, 58, 84, 77, 84, 93, 72, 99, 75, 85, 65, + 70, 89, 71, 82, 64, 79, 82, 80, 67, 73, 86, 101, 78, 97, 66, 64, 84, 80, 55, 64, + 79, 73, 51, 79, 89, 68, 94, 77, 109, 102, 82, 61, 66, 93, 88, 70, 82, 82, 85, 69, + 69, 72, 66, 97, 85, 90, 70, 59, 76, 89, 53, 56, 90, 79, 71, 64, 70, 67, 100, 92, + 106, 89, 83, 78, 73, 80, 70, 72, 65, 70, 92, 88, 57, 76, 55, 85, 66, 80, 61, 63, + 63, 78, 54, 58, 71, 73, 54, 63, 63, 62, 89, 76, 86, 81, 83, 54, 70, 81, 78, 64, + 56, 72, 74, 81, 75, 63, 68, 89, 65, 77, 58, 68, 75, 83, 52, 62, 82, 63, 55, 75, + 51, 70, 95, 66, 83, 77, 86, 61, 64, 77, 48, 70, 66, 82, 72, 75, 79, 71, 72, 89, + 78, 78, 66, 59, 91, 80, 55, 64, 79, 68, 54, 71, 67, 75, 87, 84, 100, 101, 76, 58, + 74, 82, 61, 74, 75, 97, 85, 79, 61, 55, 69, 68, 72, 65, 52, 64, 80, 73, 48, 54, + 71, 66, 42, 61, 66, 63, 92, 64, 85, 77, 73, 54, 74, 73, 76, 66, 62, 79, 85, 70, + 71, 84, 87, 81, 88, 86, 77, 77, 93, 88, 78, 71, 101, 89, 58, 84, 95, 81, 89, 97, + 104, 79, 83, 76, 90, 81, 91, 74, 70, 76, 91, 80, 51, 48, 56, 69, 47, 63, 54, 42, + 63, 63, 42, 52, 66, 56, 39, 59, 61, 52, 59, 63, 62, 68, 57, 35, 67, 58, 56, 52, + 61, 63, 60, 47, 85, 75, 89, 106, 88, 95, 74, 82, 107, 107, 64, 78, 98, 90, 62, 91, + 79, 87, 111, 84, 104, 106, 96, 68, 94, 99, 81, 89, 79, 105, 95, 86, 65, 63, 77, 89, + 66, 88, 56, 73, 82, 92, 41, 62, 85, 66, 50, 81, 57, 71, 77, 78, 86, 89, 77, 53, + 67, 78, 61, 63, 72, 82, 69, 66, 59, 46, 55, 70, 56, 64, 45, 50, 65, 64, 42, 56, + 78, 49, 51, 52, 38, 56, 72, 55, 73, 72, 61, 50, 63, 60, 47, 57, 55, 73, 53, 68, + 85, 88, 91, 96, 82, 89, 73, 76, 87, 86, 67, 69, 96, 84, 57, 89, 87, 89, 99, 88, + 104, 90, 85, 75, 88, 92, 85, 75, 74, 87, 103, 94, 55, 48, 56, 65, 72, 50, 45, 51, + 63, 62, 47, 57, 79, 53, 36, 63, 54, 68, 71, 59, 63, 61, 63, 41, 50, 73, 57, 59, + 56, 76, 73, 65, 61, 64, 61, 79, 53, 73, 57, 44, 61, 59, 59, 56, 81, 59, 49, 62, + 65, 55, 69, 72, 79, 70, 58, 57, 68, 61, 62, 50, 57, 60, 66, 66, 63, 77, 81, 89, + 85, 81, 76, 73, 78, 95, 59, 70, 81, 77, 46, 79, 78, 79, 83, 81, 84, 82, 85, 48, + 74, 85, 85, 74, 74, 80, 80, 74, 60, 76, 80, 97, 88, 93, 66, 66, 73, 84, 56, 70, + 90, 63, 58, 78, 73, 93, 90, 78, 94, 88, 82, 67, 85, 70, 81, 86, 74, 82, 88, 82, + 68, 73, 75, 91, 78, 97, 71, 66, 74, 85, 50, 59, 86, 77, 70, 74, 75, 74, 99, 82, + 99, 91, 86, 65, 80, 77, 72, 69, 60, 78, 90, 87, 79, 69, 74, 98, 70, 86, 81, 67, + 69, 78, 48, 65, 88, 70, 70, 70, 69, 72, 96, 90, 99, 82, 81, 76, 98, 73, 74, 71, + 69, 73, 94, 89 +}; + diff --git a/mt/bf_matmul/matmul_gendata.pl b/mt/bf_matmul/matmul_gendata.pl new file mode 100755 index 0000000..f21bb46 --- /dev/null +++ b/mt/bf_matmul/matmul_gendata.pl @@ -0,0 +1,200 @@ +#!/usr/bin/perl -w +#========================================================================== +# matmul_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the matmul benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: matmul_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[ARRAY_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3d",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + + + +#-------------------------------------------------------------------------- +# Matmul +#-------------------------------------------------------------------------- + +# http://answers.oreilly.com/topic/418-how-to-multiply-matrices-in-perl/ + +sub mmult { + my ($m1,$m2) = @_; + my ($m1rows,$m1cols) = matdim($m1); + my ($m2rows,$m2cols) = matdim($m2); + + my $result = [ ]; + my ($i, $j, $k); + + for $i (range($m1rows)) { + for $j (range($m2cols)) { + for $k (range($m1cols)) { + $result->[$i][$j] += $m1->[$i][$k] * $m2->[$k][$j]; + } + } + } + return $result; +} + +sub range { 0 .. ($_[0] - 1) } + + +sub veclen { + my $ary_ref = $_[0]; + my $type = ref $ary_ref; + if ($type ne "ARRAY") { die "$type is bad array ref for $ary_ref" } + return scalar(@$ary_ref); +} + +sub matdim { + my $matrix = $_[0]; + my $rows = veclen($matrix); + my $cols = veclen($matrix->[0]); + return ($rows, $cols); +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + # create random input arrays + my $mat_values1; + my $mat_values2; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + $mat_values1->[$i][$j] = int(rand(4)); + $mat_values2->[$i][$j] = int(rand(4)); + } + } + + # perform matmul + my $mat_results = mmult( $mat_values1, $mat_values2 ); + + # translate 2d arrays to 1d-somethings (I don't know how to code in perl - Chris) + my @values1; + my @values2; + my @results; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + my $value1 = $mat_values1->[$i][$j]; + my $value2 = $mat_values2->[$i][$j]; + my $result = $mat_results->[$i][$j]; + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @results, $result ); + } + } + + print "\n\#define ARRAY_SIZE ".($opts{"size"}*$opts{"size"})." \n\n"; + print "\n\#define DIM_SIZE ".$opts{"size"}." \n\n"; + + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@results); + +} + +main(); + diff --git a/mt/bf_matmul/matmul_mi.c b/mt/bf_matmul/matmul_mi.c new file mode 100755 index 0000000..1eb4145 --- /dev/null +++ b/mt/bf_matmul/matmul_mi.c @@ -0,0 +1,392 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + int j, k; + data_t temp0, temp1, temp2, temp3, temp4, temp5, temp6, temp7; + data_t temp8, temp9, temp10, temp11, temp12, temp13, temp14, temp15; + if(coreid == 0) { + //16*0:16*(0+1) ;; 16*1+16*(1+1) + //0:16 ;; 16:32 + + //complete Q1 + for(j = 0; j < 16; j++) { + temp0 = C[j*lda]; + temp1 = C[1 + j*lda]; + temp2 = C[2 + j*lda]; + temp3 = C[3 + j*lda]; + temp4 = C[4 + j*lda]; + temp5 = C[5 + j*lda]; + temp6 = C[6 + j*lda]; + temp7 = C[7 + j*lda]; + temp8 = C[8 + j*lda]; + temp9 = C[9 + j*lda]; + temp10 = C[10 + j*lda]; + temp11 = C[11 + j*lda]; + temp12 = C[12 + j*lda]; + temp13 = C[13 + j*lda]; + temp14 = C[14 + j*lda]; + temp15 = C[15 + j*lda]; + for(k = 0; k < 32; k++) { + temp0 += A[j*lda + k] * B[k*lda]; + temp1 += A[j*lda + k] * B[1+k*lda]; + temp2 += A[j*lda + k] * B[2+k*lda]; + temp3 += A[j*lda + k] * B[3+k*lda]; + temp4 += A[j*lda + k] * B[4+k*lda]; + temp5 += A[j*lda + k] * B[5+k*lda]; + temp6 += A[j*lda + k] * B[6+k*lda]; + temp7 += A[j*lda + k] * B[7+k*lda]; + temp8 += A[j*lda + k] * B[8+k*lda]; + temp9 += A[j*lda + k] * B[9+k*lda]; + temp10 += A[j*lda + k] * B[10+k*lda]; + temp11 += A[j*lda + k] * B[11+k*lda]; + temp12 += A[j*lda + k] * B[12+k*lda]; + temp13 += A[j*lda + k] * B[13+k*lda]; + temp14 += A[j*lda + k] * B[14+k*lda]; + temp15 += A[j*lda + k] * B[15+k*lda]; + } + C[j*lda] = temp0; + C[1 + j*lda] = temp1; + C[2 + j*lda] = temp2; + C[3 + j*lda] = temp3; + C[4 + j*lda] = temp4; + C[5 + j*lda] = temp5; + C[6 + j*lda] = temp6; + C[7 + j*lda] = temp7; + C[8 + j*lda] = temp8; + C[9 + j*lda] = temp9; + C[10 + j*lda] = temp10; + C[11 + j*lda] = temp11; + C[12 + j*lda] = temp12; + C[13 + j*lda] = temp13; + C[14 + j*lda] = temp14; + C[15 + j*lda] = temp15; + } + for(j = 16; j < 32; j++) { + temp0 = C[j*lda]; + temp1 = C[1 + j*lda]; + temp2 = C[2 + j*lda]; + temp3 = C[3 + j*lda]; + temp4 = C[4 + j*lda]; + temp5 = C[5 + j*lda]; + temp6 = C[6 + j*lda]; + temp7 = C[7 + j*lda]; + temp8 = C[8 + j*lda]; + temp9 = C[9 + j*lda]; + temp10 = C[10 + j*lda]; + temp11 = C[11 + j*lda]; + temp12 = C[12 + j*lda]; + temp13 = C[13 + j*lda]; + temp14 = C[14 + j*lda]; + temp15 = C[15 + j*lda]; + for(k = 0; k < 32; k++) { + temp0 += A[j*lda + k] * B[k*lda]; + temp1 += A[j*lda + k] * B[1+k*lda]; + temp2 += A[j*lda + k] * B[2+k*lda]; + temp3 += A[j*lda + k] * B[3+k*lda]; + temp4 += A[j*lda + k] * B[4+k*lda]; + temp5 += A[j*lda + k] * B[5+k*lda]; + temp6 += A[j*lda + k] * B[6+k*lda]; + temp7 += A[j*lda + k] * B[7+k*lda]; + temp8 += A[j*lda + k] * B[8+k*lda]; + temp9 += A[j*lda + k] * B[9+k*lda]; + temp10 += A[j*lda + k] * B[10+k*lda]; + temp11 += A[j*lda + k] * B[11+k*lda]; + temp12 += A[j*lda + k] * B[12+k*lda]; + temp13 += A[j*lda + k] * B[13+k*lda]; + temp14 += A[j*lda + k] * B[14+k*lda]; + temp15 += A[j*lda + k] * B[15+k*lda]; + } + C[j*lda] = temp0; + C[1 + j*lda] = temp1; + C[2 + j*lda] = temp2; + C[3 + j*lda] = temp3; + C[4 + j*lda] = temp4; + C[5 + j*lda] = temp5; + C[6 + j*lda] = temp6; + C[7 + j*lda] = temp7; + C[8 + j*lda] = temp8; + C[9 + j*lda] = temp9; + C[10 + j*lda] = temp10; + C[11 + j*lda] = temp11; + C[12 + j*lda] = temp12; + C[13 + j*lda] = temp13; + C[14 + j*lda] = temp14; + C[15 + j*lda] = temp15; + } + } + //16*(2-1) : 16*2 ;; 16*(1-1) : 16*1 + //16:32 ;; 0:16 + if(coreid == 1) { + //complete Q3 + for(j = 16; j < 32; j++) { + temp0 = C[16+j*lda]; + temp1 = C[17+j*lda]; + temp2 = C[18+j*lda]; + temp3 = C[19+j*lda]; + temp4 = C[20+j*lda]; + temp5 = C[21+j*lda]; + temp6 = C[22+j*lda]; + temp7 = C[23+j*lda]; + temp8 = C[24+j*lda]; + temp9 = C[25+j*lda]; + temp10 = C[26+j*lda]; + temp11 = C[27+j*lda]; + temp12 = C[28+j*lda]; + temp13 = C[29+j*lda]; + temp14 = C[30+j*lda]; + temp15 = C[31+j*lda]; + for(k = 0; k < 32; k++) { + temp0 += A[j*lda + k] * B[16+k*lda]; + temp1 += A[j*lda + k] * B[17+k*lda]; + temp2 += A[j*lda + k] * B[18+k*lda]; + temp3 += A[j*lda + k] * B[19+k*lda]; + temp4 += A[j*lda + k] * B[20+k*lda]; + temp5 += A[j*lda + k] * B[21+k*lda]; + temp6 += A[j*lda + k] * B[22+k*lda]; + temp7 += A[j*lda + k] * B[23+k*lda]; + temp8 += A[j*lda + k] * B[24+k*lda]; + temp9 += A[j*lda + k] * B[25+k*lda]; + temp10 += A[j*lda + k] * B[26+k*lda]; + temp11 += A[j*lda + k] * B[27+k*lda]; + temp12 += A[j*lda + k] * B[28+k*lda]; + temp13 += A[j*lda + k] * B[29+k*lda]; + temp14 += A[j*lda + k] * B[30+k*lda]; + temp15 += A[j*lda + k] * B[31+k*lda]; + } + C[16 + j*lda] = temp0; + C[17 + j*lda] = temp1; + C[18 + j*lda] = temp2; + C[19 + j*lda] = temp3; + C[20 + j*lda] = temp4; + C[21 + j*lda] = temp5; + C[22 + j*lda] = temp6; + C[23 + j*lda] = temp7; + C[24 + j*lda] = temp8; + C[25 + j*lda] = temp9; + C[26 + j*lda] = temp10; + C[27 + j*lda] = temp11; + C[28 + j*lda] = temp12; + C[29 + j*lda] = temp13; + C[30 + j*lda] = temp14; + C[31 + j*lda] = temp15; + } + //complete Q4 + for(j = 0; j < 16; j++) { + temp0 = C[16 + j*lda]; + temp1 = C[17 + j*lda]; + temp2 = C[18 + j*lda]; + temp3 = C[19 + j*lda]; + temp4 = C[20 + j*lda]; + temp5 = C[21 + j*lda]; + temp6 = C[22 + j*lda]; + temp7 = C[23 + j*lda]; + temp8 = C[24 + j*lda]; + temp9 = C[25 + j*lda]; + temp10 = C[26 + j*lda]; + temp11 = C[27 + j*lda]; + temp12 = C[28 + j*lda]; + temp13 = C[29 + j*lda]; + temp14 = C[30 + j*lda]; + temp15 = C[31 + j*lda]; + for(k = 0; k < 32; k++) { + temp0 += A[j*lda + k] * B[16 + k*lda]; + temp1 += A[j*lda + k] * B[17 + k*lda]; + temp2 += A[j*lda + k] * B[18 + k*lda]; + temp3 += A[j*lda + k] * B[19 + k*lda]; + temp4 += A[j*lda + k] * B[20 + k*lda]; + temp5 += A[j*lda + k] * B[21 + k*lda]; + temp6 += A[j*lda + k] * B[22 + k*lda]; + temp7 += A[j*lda + k] * B[23 + k*lda]; + temp8 += A[j*lda + k] * B[24 + k*lda]; + temp9 += A[j*lda + k] * B[25 + k*lda]; + temp10 += A[j*lda + k] * B[26 + k*lda]; + temp11 += A[j*lda + k] * B[27 + k*lda]; + temp12 += A[j*lda + k] * B[28 + k*lda]; + temp13 += A[j*lda + k] * B[29 + k*lda]; + temp14 += A[j*lda + k] * B[30 + k*lda]; + temp15 += A[j*lda + k] * B[31 + k*lda]; + } + C[16 + j*lda] = temp0; + C[17 + j*lda] = temp1; + C[18 + j*lda] = temp2; + C[19 + j*lda] = temp3; + C[20 + j*lda] = temp4; + C[21 + j*lda] = temp5; + C[22 + j*lda] = temp6; + C[23 + j*lda] = temp7; + C[24 + j*lda] = temp8; + C[25 + j*lda] = temp9; + C[26 + j*lda] = temp10; + C[27 + j*lda] = temp11; + C[28 + j*lda] = temp12; + C[29 + j*lda] = temp13; + C[30 + j*lda] = temp14; + C[31 + j*lda] = temp15; + } + } + + + +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + +// // Execute the provided, naive matmul +// barrier(); +// stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); +// +// +// // verify +// verify(ARRAY_SIZE, results_data, verify_data); +// +// // clear results from the first trial +// size_t i; +// if (coreid == 0) +// for (i=0; i < ARRAY_SIZE; i++) +// results_data[i] = 0; +// barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/bf_vvadd/bf_vvadd.c b/mt/bf_vvadd/bf_vvadd.c new file mode 100755 index 0000000..1c64793 --- /dev/null +++ b/mt/bf_vvadd/bf_vvadd.c @@ -0,0 +1,180 @@ +//************************************************************************** +// Vector-vector add benchmark +//-------------------------------------------------------------------------- +// Author : Andrew Waterman +// TA : Christopher Celio +// Student : +// +// This benchmark adds two vectors and writes the results to a +// third vector. The input data (and reference data) should be +// generated using the vvadd_gendata.pl perl script and dumped +// to a file named dataset.h + +// to print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DATA_SIZE, 10*_c/DATA_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %4ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %4ld, correct[%d]= %4ld\n", + i, (long) test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// vvadd function + +//perform in-place vvadd +void __attribute__((noinline)) vvadd(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + size_t i; + + // interleave accesses + for (i = coreid; i < n; i+=ncores) + { + x[i] = x[i] + y[i]; + } +} + +void __attribute__((noinline)) vvadd_opt(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + size_t i; + if (coreid == 0) + { + for (i = 0; i < n/2; i++) + { + x[i] = x[i] + y[i]; + } + } + if (coreid == 1) + { + for (i = n/2; i < n; i++) + { + x[i] = x[i] + y[i]; + } + } +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[DATA_SIZE]; + + // because we're going to perform an in-place vvadd (and we're going to run + // it a couple of times) let's copy the input data to a temporary results + // array + + size_t i; + if (coreid == 0) + { + for (i = 0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + + + // Execute the provided, terrible vvadd + barrier(); + stats(vvadd(DATA_SIZE, results_data, input2_data); barrier()); + + + // verify + verify(DATA_SIZE, results_data, verify_data); + + // reset results from the first trial + if (coreid == 0) + { + for (i=0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + barrier(); + + + // Execute your faster vvadd + barrier(); + stats(vvadd_opt(DATA_SIZE, results_data, input2_data); barrier()); + +#ifdef DEBUG + printArray("results: ", DATA_SIZE, results_data); + printArray("verify : ", DATA_SIZE, verify_data); +#endif + + // verify + verify(DATA_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/bf_vvadd/dataset.h b/mt/bf_vvadd/dataset.h new file mode 100755 index 0000000..ce9f936 --- /dev/null +++ b/mt/bf_vvadd/dataset.h @@ -0,0 +1,165 @@ + +#define DATA_SIZE 1000 + +static data_t input1_data[DATA_SIZE] = +{ + 0.00, 15.00, 10.00, 3.00, 14.00, 6.00, 2.00, 18.00, 11.00, 15.00, 11.00, 0.00, 17.00, 16.00, 7.00, 13.00, 18.00, 2.00, 2.00, 5.00, + 8.00, 5.00, 12.00, 14.00, 6.00, 12.00, 16.00, 7.00, 9.00, 17.00, 10.00, 10.00, 3.00, 5.00, 14.00, 11.00, 9.00, 12.00, 3.00, 1.00, + 5.00, 4.00, 6.00, 17.00, 17.00, 4.00, 17.00, 15.00, 17.00, 18.00, 3.00, 18.00, 10.00, 6.00, 12.00, 12.00, 3.00, 2.00, 16.00, 1.00, + 5.00, 6.00, 2.00, 17.00, 16.00, 5.00, 10.00, 18.00, 14.00, 4.00, 9.00, 9.00, 7.00, 4.00, 8.00, 13.00, 12.00, 6.00, 4.00, 17.00, + 5.00, 2.00, 11.00, 11.00, 7.00, 6.00, 8.00, 5.00, 6.00, 6.00, 11.00, 1.00, 18.00, 7.00, 6.00, 9.00, 10.00, 17.00, 14.00, 4.00, + 14.00, 11.00, 2.00, 0.00, 2.00, 17.00, 17.00, 15.00, 10.00, 8.00, 12.00, 18.00, 5.00, 0.00, 0.00, 1.00, 1.00, 8.00, 11.00, 11.00, + 7.00, 5.00, 15.00, 18.00, 15.00, 6.00, 8.00, 9.00, 18.00, 6.00, 15.00, 16.00, 10.00, 18.00, 13.00, 6.00, 10.00, 16.00, 0.00, 10.00, + 12.00, 8.00, 8.00, 3.00, 0.00, 1.00, 4.00, 0.00, 8.00, 15.00, 16.00, 9.00, 7.00, 7.00, 10.00, 9.00, 16.00, 12.00, 5.00, 5.00, + 9.00, 5.00, 17.00, 4.00, 13.00, 13.00, 4.00, 14.00, 10.00, 5.00, 10.00, 10.00, 6.00, 18.00, 5.00, 15.00, 5.00, 15.00, 13.00, 18.00, + 6.00, 13.00, 5.00, 18.00, 12.00, 14.00, 1.00, 7.00, 2.00, 1.00, 7.00, 12.00, 15.00, 15.00, 6.00, 2.00, 1.00, 2.00, 18.00, 6.00, + 10.00, 14.00, 9.00, 15.00, 11.00, 0.00, 3.00, 1.00, 2.00, 2.00, 14.00, 7.00, 18.00, 0.00, 2.00, 2.00, 16.00, 8.00, 4.00, 5.00, + 7.00, 11.00, 7.00, 10.00, 14.00, 10.00, 3.00, 0.00, 13.00, 9.00, 14.00, 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12.00, 11.00, 17.00, 4.00, 13.00, 7.00, 16.00, 12.00, 7.00, 18.00 +}; + +static data_t input2_data[DATA_SIZE] = +{ + 8.00, 6.00, 0.00, 18.00, 6.00, 10.00, 1.00, 2.00, 4.00, 2.00, 4.00, 10.00, 6.00, 11.00, 17.00, 4.00, 0.00, 16.00, 14.00, 12.00, + 9.00, 8.00, 13.00, 15.00, 18.00, 2.00, 13.00, 10.00, 5.00, 4.00, 12.00, 9.00, 1.00, 13.00, 12.00, 7.00, 10.00, 17.00, 11.00, 10.00, + 18.00, 15.00, 11.00, 12.00, 7.00, 9.00, 6.00, 5.00, 11.00, 7.00, 10.00, 12.00, 18.00, 18.00, 15.00, 1.00, 3.00, 18.00, 11.00, 16.00, + 13.00, 18.00, 4.00, 13.00, 8.00, 7.00, 10.00, 13.00, 0.00, 9.00, 1.00, 16.00, 13.00, 7.00, 5.00, 5.00, 11.00, 1.00, 6.00, 10.00, + 12.00, 3.00, 10.00, 5.00, 15.00, 15.00, 13.00, 14.00, 14.00, 1.00, 18.00, 5.00, 16.00, 14.00, 10.00, 4.00, 8.00, 4.00, 6.00, 6.00, + 13.00, 14.00, 8.00, 5.00, 14.00, 10.00, 9.00, 10.00, 17.00, 15.00, 6.00, 16.00, 12.00, 9.00, 10.00, 16.00, 16.00, 8.00, 1.00, 12.00, + 7.00, 0.00, 0.00, 3.00, 5.00, 7.00, 10.00, 3.00, 17.00, 10.00, 18.00, 16.00, 1.00, 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22.00, 10.00, + 24.00, 2.00, 17.00, 9.00, 22.00, 30.00, 24.00, 33.00, 25.00, 17.00, 23.00, 9.00, 13.00, 15.00, 23.00, 10.00, 1.00, 22.00, 17.00, 10.00, + 32.00, 24.00, 26.00, 4.00, 15.00, 0.00, 27.00, 23.00, 28.00, 23.00, 30.00, 7.00, 16.00, 33.00, 20.00, 14.00, 23.00, 14.00, 20.00, 14.00, + 7.00, 25.00, 24.00, 12.00, 29.00, 16.00, 17.00, 20.00, 29.00, 16.00, 13.00, 18.00, 26.00, 18.00, 18.00, 17.00, 13.00, 29.00, 14.00, 17.00, + 24.00, 16.00, 21.00, 14.00, 26.00, 9.00, 11.00, 28.00, 25.00, 15.00, 15.00, 12.00, 6.00, 14.00, 27.00, 14.00, 24.00, 18.00, 18.00, 14.00, + 32.00, 21.00, 26.00, 13.00, 6.00, 24.00, 22.00, 27.00, 17.00, 26.00, 19.00, 21.00, 19.00, 9.00, 21.00, 25.00, 17.00, 27.00, 15.00, 18.00 +}; + diff --git a/mt/bf_vvadd/vvadd_gendata.pl b/mt/bf_vvadd/vvadd_gendata.pl new file mode 100755 index 0000000..a9fceac --- /dev/null +++ b/mt/bf_vvadd/vvadd_gendata.pl @@ -0,0 +1,139 @@ +#!/usr/bin/perl -w +#========================================================================== +# vvadd_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the vvadd benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: vvadd_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[DATA_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3.2f",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + my @values1; + my @values2; + my @sum; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + my $value1 = int(rand(19)); + my $value2 = int(rand(19)); + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @sum, $value1 + $value2 ); + } + + + print "\n\#define DATA_SIZE ".$opts{"size"}." \n\n"; + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@sum ); + +} + +main(); + diff --git a/mt/bh_matmul/bh_matmul.c b/mt/bh_matmul/bh_matmul.c new file mode 100755 index 0000000..990c935 --- /dev/null +++ b/mt/bh_matmul/bh_matmul.c @@ -0,0 +1,248 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + + int m, i, j, k, iB0, iB1; + data_t tempC0, tempC1, tempC2, tempC3, tempC4, tempC5, tempC6, tempC7; + data_t tempA0, tempA1; + + if (coreid == 0){ + for (m = 0; m < 2; m++){ + for (j = 0; j < lda/2; j++){ + for (i = 0; i < lda; i+=8){ + tempC0 = C[i + j*lda]; + tempC1 = C[i + j*lda+1]; + tempC2 = C[i + j*lda+2]; + tempC3 = C[i + j*lda+3]; + tempC4 = C[i + j*lda+4]; + tempC5 = C[i + j*lda+5]; + tempC6 = C[i + j*lda+6]; + tempC7 = C[i + j*lda+7]; + iB0 = m*lda*lda/2+i; + iB1 = iB0+lda; + for (k = m*lda/2; k < (m+1)*lda/2; k+=2){ + tempA0 = A[j*lda+k]; + tempA1 = A[j*lda+k+1]; + tempC0 += tempA0*B[iB0]+tempA1*B[iB1]; + tempC1 += tempA0*B[iB0+1]+tempA1*B[iB1+1]; + tempC2 += tempA0*B[iB0+2]+tempA1*B[iB1+2]; + tempC3 += tempA0*B[iB0+3]+tempA1*B[iB1+3]; + tempC4 += tempA0*B[iB0+4]+tempA1*B[iB1+4]; + tempC5 += tempA0*B[iB0+5]+tempA1*B[iB1+5]; + tempC6 += tempA0*B[iB0+6]+tempA1*B[iB1+6]; + tempC7 += tempA0*B[iB0+7]+tempA1*B[iB1+7]; + iB0 += 2*lda; + iB1 += 2*lda; + + } + C[i + j*lda] = tempC0; + C[i + j*lda + 1] = tempC1; + C[i + j*lda + 2] = tempC2; + C[i + j*lda + 3] = tempC3; + C[i + j*lda + 4] = tempC4; + C[i + j*lda + 5] = tempC5; + C[i + j*lda + 6] = tempC6; + C[i + j*lda + 7] = tempC7; + } + } + } + } else { + for (m = 2; m > 0; m--){ + for (j = lda-1; j >= lda/2; j--){ + for (i = lda-1; i >= 0; i-=8){ + tempC0 = C[i + j*lda]; + tempC1 = C[i + j*lda - 1]; + tempC2 = C[i + j*lda - 2]; + tempC3 = C[i + j*lda - 3]; + tempC4 = C[i + j*lda - 4]; + tempC5 = C[i + j*lda - 5]; + tempC6 = C[i + j*lda - 6]; + tempC7 = C[i + j*lda - 7]; + for (k = m*lda/2-1; k >= (m-1)*lda/2; k-=2){ + tempA0 = A[j*lda+k]; + tempA1 = A[j*lda+k-1]; + tempC0 += tempA0*B[k*lda+i]+tempA1*B[(k-1)*lda+i]; + tempC1 += tempA0*B[k*lda+i-1]+tempA1*B[(k-1)*lda+i-1]; + tempC2 += tempA0*B[k*lda+i-2]+tempA1*B[(k-1)*lda+i-2]; + tempC3 += tempA0*B[k*lda+i-3]+tempA1*B[(k-1)*lda+i-3]; + tempC4 += tempA0*B[k*lda+i-4]+tempA1*B[(k-1)*lda+i-4]; + tempC5 += tempA0*B[k*lda+i-5]+tempA1*B[(k-1)*lda+i-5]; + tempC6 += tempA0*B[k*lda+i-6]+tempA1*B[(k-1)*lda+i-6]; + tempC7 += tempA0*B[k*lda+i-7]+tempA1*B[(k-1)*lda+i-7]; + } + C[i + j*lda] = tempC0; + C[i + j*lda - 1] = tempC1; + C[i + j*lda - 2] = tempC2; + C[i + j*lda - 3] = tempC3; + C[i + j*lda - 4] = tempC4; + C[i + j*lda - 5] = tempC5; + C[i + j*lda - 6] = tempC6; + C[i + j*lda - 7] = tempC7; + } + } + } + } +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + +// // Execute the provided, naive matmul +// barrier(); +// stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); +// +// +// // verify +// verify(ARRAY_SIZE, results_data, verify_data); +// +// // clear results from the first trial +// size_t i; +// if (coreid == 0) +// for (i=0; i < ARRAY_SIZE; i++) +// results_data[i] = 0; +// barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/bh_matmul/dataset.h b/mt/bh_matmul/dataset.h new file mode 100755 index 0000000..dde3ee4 --- /dev/null +++ b/mt/bh_matmul/dataset.h @@ -0,0 +1,174 @@ + +#define ARRAY_SIZE 1024 + + +#define DIM_SIZE 32 + +static data_t input1_data[ARRAY_SIZE] = +{ + 0, 3, 2, 0, 3, 1, 0, 3, 2, 3, 2, 0, 3, 3, 1, 2, 3, 0, 0, 1, + 1, 1, 2, 3, 1, 2, 3, 1, 1, 3, 2, 2, 0, 1, 3, 2, 2, 2, 0, 0, + 1, 0, 1, 3, 3, 0, 3, 3, 3, 3, 0, 3, 2, 1, 2, 2, 0, 0, 3, 0, + 1, 1, 0, 3, 3, 1, 2, 3, 3, 0, 1, 2, 1, 0, 1, 2, 2, 1, 0, 3, + 1, 0, 2, 2, 1, 1, 1, 1, 1, 1, 2, 0, 3, 1, 1, 2, 2, 3, 3, 1, + 3, 2, 0, 0, 0, 3, 3, 3, 2, 1, 2, 3, 1, 0, 0, 0, 0, 1, 2, 2, + 1, 1, 3, 3, 3, 1, 1, 2, 3, 1, 3, 3, 2, 3, 2, 1, 2, 3, 0, 2, + 2, 1, 1, 0, 0, 0, 0, 0, 1, 3, 3, 1, 1, 1, 2, 2, 3, 2, 1, 1, + 1, 1, 3, 0, 2, 2, 1, 3, 2, 1, 2, 2, 1, 3, 1, 3, 1, 3, 2, 3, + 1, 2, 1, 3, 2, 2, 0, 1, 0, 0, 1, 2, 3, 3, 1, 0, 0, 0, 3, 1, + 2, 3, 2, 3, 2, 0, 0, 0, 0, 0, 3, 1, 3, 0, 0, 0, 3, 1, 1, 1, + 1, 2, 1, 2, 3, 2, 0, 0, 2, 2, 3, 0, 3, 0, 0, 3, 0, 3, 1, 3, + 3, 1, 1, 1, 2, 2, 1, 3, 0, 3, 3, 1, 0, 0, 3, 2, 1, 3, 3, 3, + 1, 0, 1, 1, 2, 1, 0, 1, 1, 2, 2, 3, 1, 2, 2, 2, 0, 1, 3, 3, + 3, 2, 2, 1, 0, 1, 2, 0, 1, 1, 1, 1, 2, 3, 2, 2, 3, 3, 0, 0, + 2, 0, 0, 0, 3, 0, 1, 0, 3, 0, 0, 0, 3, 0, 0, 2, 0, 2, 0, 0, + 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 0, 2, 0, 0, 3, 3, 2, 3, 3, 0, + 1, 0, 2, 2, 0, 3, 3, 1, 1, 0, 2, 3, 2, 1, 1, 0, 1, 2, 1, 2, + 2, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 3, 3, 2, 0, 0, 1, 3, 0, 3, + 3, 0, 0, 0, 0, 3, 3, 1, 0, 0, 3, 3, 2, 1, 2, 1, 3, 3, 0, 1, + 3, 0, 2, 3, 1, 3, 3, 3, 3, 3, 0, 1, 1, 3, 0, 2, 2, 3, 1, 2, + 2, 2, 1, 3, 3, 0, 3, 0, 0, 2, 0, 2, 3, 0, 1, 3, 2, 2, 0, 0, + 2, 3, 0, 2, 2, 2, 3, 1, 0, 3, 3, 3, 3, 1, 0, 3, 3, 2, 0, 3, + 2, 0, 3, 0, 2, 0, 0, 2, 2, 1, 0, 2, 3, 1, 1, 1, 1, 2, 3, 3, + 3, 0, 0, 3, 3, 3, 2, 3, 3, 1, 2, 2, 3, 1, 2, 1, 1, 3, 0, 1, + 2, 0, 2, 0, 0, 1, 3, 2, 0, 1, 3, 2, 3, 3, 0, 0, 0, 1, 0, 3, + 3, 2, 2, 2, 1, 1, 2, 2, 1, 3, 2, 0, 1, 3, 2, 0, 2, 1, 3, 0, + 0, 0, 1, 3, 3, 2, 2, 2, 3, 1, 0, 0, 1, 1, 2, 1, 3, 1, 1, 2, + 2, 3, 2, 3, 0, 2, 3, 3, 0, 3, 0, 0, 1, 0, 0, 0, 1, 3, 1, 1, + 2, 3, 2, 1, 1, 2, 2, 2, 3, 0, 1, 1, 2, 1, 2, 0, 2, 3, 1, 3, + 0, 1, 1, 3, 0, 2, 3, 0, 1, 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 2, + 3, 0, 1, 1, 1, 1, 2, 0, 1, 2, 0, 1, 1, 1, 0, 1, 3, 2, 3, 1, + 0, 2, 1, 2, 1, 3, 3, 1, 0, 2, 2, 3, 1, 3, 1, 3, 0, 1, 0, 3, + 0, 3, 2, 0, 3, 3, 3, 0, 3, 2, 2, 2, 1, 3, 0, 0, 1, 1, 3, 0, + 1, 2, 1, 0, 0, 0, 3, 2, 2, 0, 0, 2, 1, 3, 0, 0, 3, 0, 0, 2, + 1, 1, 2, 2, 1, 3, 2, 2, 1, 1, 2, 1, 3, 2, 1, 1, 3, 0, 1, 3, + 3, 2, 2, 1, 0, 3, 2, 2, 2, 3, 0, 1, 3, 3, 2, 3, 0, 3, 2, 3, + 1, 1, 0, 0, 0, 2, 3, 0, 3, 0, 1, 1, 3, 1, 3, 2, 1, 1, 2, 1, + 3, 2, 0, 2, 1, 0, 2, 3, 2, 3, 2, 1, 2, 3, 0, 0, 1, 1, 0, 0, + 2, 1, 0, 1, 2, 2, 2, 2, 0, 3, 3, 1, 0, 0, 0, 0, 3, 1, 1, 0, + 0, 0, 0, 1, 2, 2, 1, 3, 0, 2, 3, 2, 3, 2, 2, 1, 2, 2, 3, 3, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 2, 2, 3, 1, 1, 1, 0, 0, 0, 3, 0, + 1, 0, 3, 1, 1, 3, 0, 1, 2, 2, 0, 0, 3, 3, 3, 3, 2, 1, 0, 0, + 1, 0, 2, 0, 1, 1, 0, 0, 3, 3, 2, 1, 1, 1, 0, 1, 1, 2, 2, 1, + 1, 2, 0, 3, 1, 3, 1, 0, 3, 0, 3, 1, 1, 1, 0, 2, 0, 3, 1, 0, + 1, 0, 2, 0, 2, 3, 3, 3, 1, 2, 3, 2, 2, 0, 1, 1, 0, 3, 3, 1, + 3, 3, 2, 0, 2, 0, 2, 2, 3, 3, 3, 0, 2, 3, 3, 1, 3, 2, 2, 2, + 0, 2, 3, 0, 2, 0, 3, 2, 2, 1, 1, 0, 2, 2, 2, 0, 2, 2, 0, 1, + 3, 2, 1, 3, 2, 2, 0, 3, 3, 1, 2, 2, 0, 0, 3, 2, 1, 2, 2, 1, + 3, 1, 2, 0, 0, 1, 1, 2, 1, 3, 2, 2, 3, 0, 2, 1, 3, 2, 1, 3, + 2, 3, 3, 1, 2, 1, 2, 2, 0, 0, 0, 3, 0, 2, 3, 1, 0, 0, 2, 3, + 3, 2, 2, 1 +}; + +static data_t input2_data[ARRAY_SIZE] = +{ + 1, 1, 0, 3, 1, 2, 0, 0, 0, 0, 0, 2, 1, 2, 3, 0, 0, 3, 3, 2, + 2, 1, 2, 3, 3, 0, 2, 2, 1, 1, 2, 2, 0, 2, 2, 1, 2, 3, 2, 2, + 3, 3, 2, 2, 1, 1, 1, 1, 2, 1, 2, 2, 3, 3, 3, 0, 0, 3, 2, 3, + 2, 3, 1, 2, 1, 1, 2, 2, 0, 1, 0, 3, 2, 1, 1, 1, 2, 0, 1, 2, + 2, 0, 2, 1, 3, 3, 2, 3, 2, 0, 3, 1, 3, 3, 2, 0, 1, 0, 1, 1, + 2, 2, 1, 1, 2, 2, 1, 2, 3, 3, 1, 3, 2, 2, 2, 3, 3, 1, 0, 2, + 1, 0, 0, 0, 1, 1, 2, 0, 3, 2, 3, 3, 0, 2, 3, 1, 0, 0, 2, 1, + 2, 0, 2, 1, 1, 2, 3, 1, 3, 2, 1, 0, 0, 0, 0, 0, 2, 2, 0, 2, + 1, 2, 0, 3, 2, 2, 0, 0, 3, 2, 1, 1, 3, 0, 2, 0, 0, 1, 0, 2, + 3, 3, 1, 3, 3, 0, 0, 2, 2, 0, 0, 0, 1, 0, 0, 1, 3, 0, 2, 1, + 3, 2, 2, 1, 3, 2, 0, 1, 2, 2, 3, 2, 1, 1, 1, 1, 3, 0, 1, 3, + 2, 2, 3, 1, 1, 2, 0, 2, 1, 1, 2, 3, 1, 0, 1, 0, 1, 1, 0, 0, + 2, 0, 3, 0, 3, 0, 3, 2, 2, 3, 3, 2, 1, 0, 2, 2, 1, 1, 0, 3, + 3, 2, 2, 0, 0, 3, 0, 1, 0, 0, 1, 2, 0, 1, 3, 0, 1, 2, 2, 0, + 0, 3, 0, 3, 0, 1, 1, 2, 0, 0, 0, 3, 0, 0, 2, 1, 1, 1, 0, 2, + 1, 3, 1, 2, 0, 3, 0, 3, 1, 3, 0, 0, 2, 2, 2, 2, 3, 3, 2, 1, + 2, 2, 1, 1, 2, 2, 2, 2, 0, 3, 0, 0, 2, 0, 1, 2, 0, 3, 2, 3, + 2, 0, 2, 1, 2, 1, 0, 2, 1, 1, 3, 2, 2, 3, 1, 0, 3, 3, 1, 0, + 3, 2, 2, 0, 0, 3, 0, 0, 2, 0, 3, 2, 3, 1, 1, 0, 0, 2, 3, 0, + 0, 1, 1, 1, 2, 1, 3, 2, 1, 3, 0, 1, 3, 3, 1, 1, 1, 1, 1, 1, + 0, 0, 2, 3, 2, 2, 2, 3, 2, 3, 1, 2, 3, 2, 2, 2, 0, 1, 3, 0, + 1, 1, 0, 1, 0, 1, 1, 3, 3, 1, 2, 2, 3, 2, 0, 2, 2, 0, 1, 3, + 0, 1, 3, 2, 1, 3, 3, 2, 0, 1, 3, 2, 0, 2, 1, 1, 0, 3, 0, 1, + 1, 1, 1, 1, 3, 0, 0, 1, 0, 2, 3, 1, 3, 0, 2, 1, 3, 0, 3, 0, + 3, 2, 2, 0, 0, 2, 1, 3, 3, 2, 3, 2, 2, 1, 2, 2, 3, 0, 3, 2, + 2, 0, 3, 2, 3, 2, 0, 0, 1, 2, 0, 0, 2, 0, 0, 3, 3, 2, 0, 0, + 3, 3, 0, 2, 3, 1, 0, 1, 0, 2, 1, 0, 2, 1, 0, 1, 0, 3, 0, 2, + 2, 3, 0, 0, 2, 1, 0, 1, 0, 0, 0, 2, 2, 3, 2, 0, 3, 3, 2, 1, + 0, 0, 3, 1, 2, 3, 3, 1, 0, 3, 1, 1, 0, 3, 3, 3, 2, 2, 2, 0, + 1, 2, 0, 3, 0, 1, 0, 1, 1, 0, 1, 2, 0, 3, 2, 0, 1, 2, 2, 0, + 2, 0, 0, 1, 0, 3, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 1, 1, 1, 0, + 2, 1, 1, 3, 2, 0, 2, 1, 1, 0, 2, 2, 1, 3, 0, 2, 1, 0, 1, 2, + 0, 1, 3, 2, 3, 2, 1, 0, 2, 0, 2, 2, 3, 1, 1, 3, 2, 3, 2, 2, + 0, 2, 0, 0, 0, 3, 2, 0, 2, 2, 3, 3, 3, 2, 1, 2, 0, 0, 3, 0, + 2, 0, 3, 2, 2, 3, 0, 3, 2, 1, 2, 2, 1, 2, 0, 0, 3, 1, 2, 0, + 2, 3, 2, 2, 1, 1, 1, 3, 3, 3, 3, 3, 1, 3, 0, 1, 3, 2, 2, 1, + 0, 1, 1, 2, 1, 2, 3, 1, 2, 2, 1, 2, 1, 1, 0, 3, 3, 1, 1, 3, + 2, 0, 0, 1, 2, 0, 1, 3, 1, 0, 0, 2, 2, 3, 3, 0, 2, 3, 2, 1, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 3, 3, 3, 1, 3, 0, 3, 1, 1, 2, 2, + 2, 1, 0, 3, 2, 3, 0, 2, 3, 2, 3, 1, 2, 3, 3, 1, 2, 1, 0, 0, + 0, 3, 3, 3, 3, 0, 3, 3, 3, 3, 2, 1, 0, 3, 0, 3, 2, 3, 1, 0, + 0, 1, 3, 1, 0, 2, 2, 3, 1, 0, 2, 1, 1, 3, 1, 1, 3, 1, 2, 1, + 0, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 3, 3, 1, 0, 3, 1, 1, 2, 0, + 0, 0, 2, 3, 3, 2, 2, 3, 0, 2, 3, 1, 3, 3, 0, 2, 1, 2, 2, 2, + 1, 0, 1, 3, 2, 3, 1, 1, 2, 1, 1, 0, 0, 2, 3, 2, 1, 0, 3, 1, + 3, 0, 1, 1, 2, 2, 1, 3, 3, 1, 1, 0, 0, 3, 3, 0, 0, 0, 0, 0, + 3, 1, 3, 0, 0, 0, 3, 3, 2, 1, 3, 0, 1, 3, 1, 1, 1, 0, 1, 0, + 1, 2, 2, 2, 3, 3, 0, 2, 3, 2, 1, 3, 3, 1, 1, 3, 0, 3, 3, 2, + 1, 1, 2, 0, 3, 0, 1, 2, 1, 1, 0, 0, 1, 2, 2, 0, 3, 1, 1, 1, + 3, 3, 3, 1, 0, 3, 3, 2, 2, 2, 1, 2, 0, 1, 1, 3, 0, 3, 1, 0, + 2, 2, 0, 1, 2, 3, 2, 1, 2, 0, 3, 2, 1, 3, 0, 1, 2, 0, 3, 0, + 1, 1, 2, 1 +}; + +static data_t verify_data[ARRAY_SIZE] = +{ + 72, 75, 88, 101, 80, 88, 73, 75, 80, 81, 58, 75, 86, 65, 60, 80, 84, 83, 87, 83, + 108, 93, 85, 76, 72, 98, 79, 86, 80, 96, 91, 85, 72, 64, 70, 83, 68, 92, 51, 54, + 85, 85, 60, 58, 90, 64, 55, 69, 72, 48, 94, 77, 91, 83, 70, 69, 67, 77, 59, 50, + 67, 74, 77, 67, 67, 62, 72, 71, 68, 79, 54, 61, 67, 61, 55, 62, 78, 60, 53, 64, + 67, 69, 99, 68, 88, 60, 66, 63, 70, 62, 65, 50, 53, 66, 70, 72, 75, 78, 85, 95, + 71, 89, 70, 68, 86, 88, 58, 77, 84, 70, 65, 68, 73, 75, 91, 96, 105, 92, 76, 68, + 86, 69, 80, 59, 73, 83, 88, 75, 64, 63, 71, 99, 77, 77, 69, 55, 80, 73, 54, 73, + 87, 78, 60, 69, 65, 78, 86, 89, 95, 92, 63, 69, 89, 61, 80, 65, 70, 77, 89, 77, + 79, 79, 73, 92, 64, 81, 60, 78, 81, 80, 61, 63, 89, 65, 56, 83, 77, 65, 102, 70, + 98, 86, 96, 68, 72, 89, 73, 73, 70, 89, 84, 76, 48, 61, 63, 70, 70, 79, 50, 53, + 64, 63, 43, 51, 59, 62, 43, 63, 55, 77, 79, 74, 75, 74, 64, 44, 65, 69, 72, 66, + 54, 71, 74, 72, 69, 76, 68, 89, 94, 75, 65, 53, 85, 79, 65, 74, 82, 73, 58, 70, + 84, 77, 99, 72, 92, 84, 78, 62, 59, 83, 71, 74, 63, 85, 80, 78, 71, 72, 79, 83, + 73, 82, 60, 85, 76, 82, 60, 70, 82, 68, 54, 85, 84, 70, 86, 74, 100, 88, 98, 68, + 67, 87, 69, 73, 68, 88, 76, 71, 47, 43, 47, 80, 54, 65, 40, 37, 59, 53, 33, 48, + 62, 40, 36, 55, 36, 62, 53, 57, 70, 69, 45, 43, 53, 61, 42, 57, 56, 63, 51, 47, + 59, 75, 64, 89, 83, 75, 59, 75, 91, 92, 58, 64, 83, 74, 58, 60, 76, 66, 97, 69, + 90, 95, 92, 64, 78, 75, 77, 73, 65, 78, 82, 75, 47, 54, 59, 71, 59, 56, 53, 42, + 60, 55, 40, 51, 60, 46, 36, 59, 46, 57, 67, 43, 51, 53, 53, 38, 54, 56, 55, 48, + 41, 46, 63, 63, 80, 77, 89, 102, 89, 98, 74, 86, 98, 93, 63, 76, 98, 77, 48, 101, + 86, 88, 100, 82, 102, 90, 95, 75, 86, 103, 83, 98, 80, 104, 98, 86, 71, 74, 80, 90, + 86, 87, 73, 70, 81, 83, 55, 66, 90, 66, 58, 84, 77, 84, 93, 72, 99, 75, 85, 65, + 70, 89, 71, 82, 64, 79, 82, 80, 67, 73, 86, 101, 78, 97, 66, 64, 84, 80, 55, 64, + 79, 73, 51, 79, 89, 68, 94, 77, 109, 102, 82, 61, 66, 93, 88, 70, 82, 82, 85, 69, + 69, 72, 66, 97, 85, 90, 70, 59, 76, 89, 53, 56, 90, 79, 71, 64, 70, 67, 100, 92, + 106, 89, 83, 78, 73, 80, 70, 72, 65, 70, 92, 88, 57, 76, 55, 85, 66, 80, 61, 63, + 63, 78, 54, 58, 71, 73, 54, 63, 63, 62, 89, 76, 86, 81, 83, 54, 70, 81, 78, 64, + 56, 72, 74, 81, 75, 63, 68, 89, 65, 77, 58, 68, 75, 83, 52, 62, 82, 63, 55, 75, + 51, 70, 95, 66, 83, 77, 86, 61, 64, 77, 48, 70, 66, 82, 72, 75, 79, 71, 72, 89, + 78, 78, 66, 59, 91, 80, 55, 64, 79, 68, 54, 71, 67, 75, 87, 84, 100, 101, 76, 58, + 74, 82, 61, 74, 75, 97, 85, 79, 61, 55, 69, 68, 72, 65, 52, 64, 80, 73, 48, 54, + 71, 66, 42, 61, 66, 63, 92, 64, 85, 77, 73, 54, 74, 73, 76, 66, 62, 79, 85, 70, + 71, 84, 87, 81, 88, 86, 77, 77, 93, 88, 78, 71, 101, 89, 58, 84, 95, 81, 89, 97, + 104, 79, 83, 76, 90, 81, 91, 74, 70, 76, 91, 80, 51, 48, 56, 69, 47, 63, 54, 42, + 63, 63, 42, 52, 66, 56, 39, 59, 61, 52, 59, 63, 62, 68, 57, 35, 67, 58, 56, 52, + 61, 63, 60, 47, 85, 75, 89, 106, 88, 95, 74, 82, 107, 107, 64, 78, 98, 90, 62, 91, + 79, 87, 111, 84, 104, 106, 96, 68, 94, 99, 81, 89, 79, 105, 95, 86, 65, 63, 77, 89, + 66, 88, 56, 73, 82, 92, 41, 62, 85, 66, 50, 81, 57, 71, 77, 78, 86, 89, 77, 53, + 67, 78, 61, 63, 72, 82, 69, 66, 59, 46, 55, 70, 56, 64, 45, 50, 65, 64, 42, 56, + 78, 49, 51, 52, 38, 56, 72, 55, 73, 72, 61, 50, 63, 60, 47, 57, 55, 73, 53, 68, + 85, 88, 91, 96, 82, 89, 73, 76, 87, 86, 67, 69, 96, 84, 57, 89, 87, 89, 99, 88, + 104, 90, 85, 75, 88, 92, 85, 75, 74, 87, 103, 94, 55, 48, 56, 65, 72, 50, 45, 51, + 63, 62, 47, 57, 79, 53, 36, 63, 54, 68, 71, 59, 63, 61, 63, 41, 50, 73, 57, 59, + 56, 76, 73, 65, 61, 64, 61, 79, 53, 73, 57, 44, 61, 59, 59, 56, 81, 59, 49, 62, + 65, 55, 69, 72, 79, 70, 58, 57, 68, 61, 62, 50, 57, 60, 66, 66, 63, 77, 81, 89, + 85, 81, 76, 73, 78, 95, 59, 70, 81, 77, 46, 79, 78, 79, 83, 81, 84, 82, 85, 48, + 74, 85, 85, 74, 74, 80, 80, 74, 60, 76, 80, 97, 88, 93, 66, 66, 73, 84, 56, 70, + 90, 63, 58, 78, 73, 93, 90, 78, 94, 88, 82, 67, 85, 70, 81, 86, 74, 82, 88, 82, + 68, 73, 75, 91, 78, 97, 71, 66, 74, 85, 50, 59, 86, 77, 70, 74, 75, 74, 99, 82, + 99, 91, 86, 65, 80, 77, 72, 69, 60, 78, 90, 87, 79, 69, 74, 98, 70, 86, 81, 67, + 69, 78, 48, 65, 88, 70, 70, 70, 69, 72, 96, 90, 99, 82, 81, 76, 98, 73, 74, 71, + 69, 73, 94, 89 +}; + diff --git a/mt/bh_matmul/matmul_gendata.pl b/mt/bh_matmul/matmul_gendata.pl new file mode 100755 index 0000000..f21bb46 --- /dev/null +++ b/mt/bh_matmul/matmul_gendata.pl @@ -0,0 +1,200 @@ +#!/usr/bin/perl -w +#========================================================================== +# matmul_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the matmul benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: matmul_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[ARRAY_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3d",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + + + +#-------------------------------------------------------------------------- +# Matmul +#-------------------------------------------------------------------------- + +# http://answers.oreilly.com/topic/418-how-to-multiply-matrices-in-perl/ + +sub mmult { + my ($m1,$m2) = @_; + my ($m1rows,$m1cols) = matdim($m1); + my ($m2rows,$m2cols) = matdim($m2); + + my $result = [ ]; + my ($i, $j, $k); + + for $i (range($m1rows)) { + for $j (range($m2cols)) { + for $k (range($m1cols)) { + $result->[$i][$j] += $m1->[$i][$k] * $m2->[$k][$j]; + } + } + } + return $result; +} + +sub range { 0 .. ($_[0] - 1) } + + +sub veclen { + my $ary_ref = $_[0]; + my $type = ref $ary_ref; + if ($type ne "ARRAY") { die "$type is bad array ref for $ary_ref" } + return scalar(@$ary_ref); +} + +sub matdim { + my $matrix = $_[0]; + my $rows = veclen($matrix); + my $cols = veclen($matrix->[0]); + return ($rows, $cols); +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + # create random input arrays + my $mat_values1; + my $mat_values2; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + $mat_values1->[$i][$j] = int(rand(4)); + $mat_values2->[$i][$j] = int(rand(4)); + } + } + + # perform matmul + my $mat_results = mmult( $mat_values1, $mat_values2 ); + + # translate 2d arrays to 1d-somethings (I don't know how to code in perl - Chris) + my @values1; + my @values2; + my @results; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + my $value1 = $mat_values1->[$i][$j]; + my $value2 = $mat_values2->[$i][$j]; + my $result = $mat_results->[$i][$j]; + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @results, $result ); + } + } + + print "\n\#define ARRAY_SIZE ".($opts{"size"}*$opts{"size"})." \n\n"; + print "\n\#define DIM_SIZE ".$opts{"size"}." \n\n"; + + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@results); + +} + +main(); + diff --git a/mt/bh_matmul/matmul_mi.c b/mt/bh_matmul/matmul_mi.c new file mode 100755 index 0000000..990c935 --- /dev/null +++ b/mt/bh_matmul/matmul_mi.c @@ -0,0 +1,248 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + + int m, i, j, k, iB0, iB1; + data_t tempC0, tempC1, tempC2, tempC3, tempC4, tempC5, tempC6, tempC7; + data_t tempA0, tempA1; + + if (coreid == 0){ + for (m = 0; m < 2; m++){ + for (j = 0; j < lda/2; j++){ + for (i = 0; i < lda; i+=8){ + tempC0 = C[i + j*lda]; + tempC1 = C[i + j*lda+1]; + tempC2 = C[i + j*lda+2]; + tempC3 = C[i + j*lda+3]; + tempC4 = C[i + j*lda+4]; + tempC5 = C[i + j*lda+5]; + tempC6 = C[i + j*lda+6]; + tempC7 = C[i + j*lda+7]; + iB0 = m*lda*lda/2+i; + iB1 = iB0+lda; + for (k = m*lda/2; k < (m+1)*lda/2; k+=2){ + tempA0 = A[j*lda+k]; + tempA1 = A[j*lda+k+1]; + tempC0 += tempA0*B[iB0]+tempA1*B[iB1]; + tempC1 += tempA0*B[iB0+1]+tempA1*B[iB1+1]; + tempC2 += tempA0*B[iB0+2]+tempA1*B[iB1+2]; + tempC3 += tempA0*B[iB0+3]+tempA1*B[iB1+3]; + tempC4 += tempA0*B[iB0+4]+tempA1*B[iB1+4]; + tempC5 += tempA0*B[iB0+5]+tempA1*B[iB1+5]; + tempC6 += tempA0*B[iB0+6]+tempA1*B[iB1+6]; + tempC7 += tempA0*B[iB0+7]+tempA1*B[iB1+7]; + iB0 += 2*lda; + iB1 += 2*lda; + + } + C[i + j*lda] = tempC0; + C[i + j*lda + 1] = tempC1; + C[i + j*lda + 2] = tempC2; + C[i + j*lda + 3] = tempC3; + C[i + j*lda + 4] = tempC4; + C[i + j*lda + 5] = tempC5; + C[i + j*lda + 6] = tempC6; + C[i + j*lda + 7] = tempC7; + } + } + } + } else { + for (m = 2; m > 0; m--){ + for (j = lda-1; j >= lda/2; j--){ + for (i = lda-1; i >= 0; i-=8){ + tempC0 = C[i + j*lda]; + tempC1 = C[i + j*lda - 1]; + tempC2 = C[i + j*lda - 2]; + tempC3 = C[i + j*lda - 3]; + tempC4 = C[i + j*lda - 4]; + tempC5 = C[i + j*lda - 5]; + tempC6 = C[i + j*lda - 6]; + tempC7 = C[i + j*lda - 7]; + for (k = m*lda/2-1; k >= (m-1)*lda/2; k-=2){ + tempA0 = A[j*lda+k]; + tempA1 = A[j*lda+k-1]; + tempC0 += tempA0*B[k*lda+i]+tempA1*B[(k-1)*lda+i]; + tempC1 += tempA0*B[k*lda+i-1]+tempA1*B[(k-1)*lda+i-1]; + tempC2 += tempA0*B[k*lda+i-2]+tempA1*B[(k-1)*lda+i-2]; + tempC3 += tempA0*B[k*lda+i-3]+tempA1*B[(k-1)*lda+i-3]; + tempC4 += tempA0*B[k*lda+i-4]+tempA1*B[(k-1)*lda+i-4]; + tempC5 += tempA0*B[k*lda+i-5]+tempA1*B[(k-1)*lda+i-5]; + tempC6 += tempA0*B[k*lda+i-6]+tempA1*B[(k-1)*lda+i-6]; + tempC7 += tempA0*B[k*lda+i-7]+tempA1*B[(k-1)*lda+i-7]; + } + C[i + j*lda] = tempC0; + C[i + j*lda - 1] = tempC1; + C[i + j*lda - 2] = tempC2; + C[i + j*lda - 3] = tempC3; + C[i + j*lda - 4] = tempC4; + C[i + j*lda - 5] = tempC5; + C[i + j*lda - 6] = tempC6; + C[i + j*lda - 7] = tempC7; + } + } + } + } +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + +// // Execute the provided, naive matmul +// barrier(); +// stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); +// +// +// // verify +// verify(ARRAY_SIZE, results_data, verify_data); +// +// // clear results from the first trial +// size_t i; +// if (coreid == 0) +// for (i=0; i < ARRAY_SIZE; i++) +// results_data[i] = 0; +// barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/bh_vvadd/bh_vvadd.c b/mt/bh_vvadd/bh_vvadd.c new file mode 100755 index 0000000..216f9ad --- /dev/null +++ b/mt/bh_vvadd/bh_vvadd.c @@ -0,0 +1,187 @@ +//************************************************************************** +// Vector-vector add benchmark +//-------------------------------------------------------------------------- +// Author : Andrew Waterman +// TA : Christopher Celio +// Student : +// +// This benchmark adds two vectors and writes the results to a +// third vector. The input data (and reference data) should be +// generated using the vvadd_gendata.pl perl script and dumped +// to a file named dataset.h + +// to print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DATA_SIZE, 10*_c/DATA_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %4ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %4ld, correct[%d]= %4ld\n", + i, (long) test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// vvadd function + +//perform in-place vvadd +void __attribute__((noinline)) vvadd(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + size_t i; + + // interleave accesses + for (i = coreid; i < n; i+=ncores) + { + x[i] = x[i] + y[i]; + } +} + +void __attribute__((noinline)) vvadd_opt(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + size_t i; + size_t m; + size_t r; + + m = n >> 1; + r = n - 2 * m; //parity check + + if (coreid == 0) { + // printf("Completed number rounding %ld", m); + } + for (i = 0; i < m; i = i + 1) + { + if (coreid == 0) { + x[i] = x[i] + y[i]; + } else { + x[n-1-i] = x[n-1-i] + y[n-1-i]; + } + } + //strip the last element if odd + if (r == 1) { + x[m] = x[m] + y[m]; + } +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[DATA_SIZE]; + + // because we're going to perform an in-place vvadd (and we're going to run + // it a couple of times) let's copy the input data to a temporary results + // array + + size_t i; + if (coreid == 0) + { + for (i = 0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + + + // Execute the provided, terrible vvadd + barrier(); + stats(vvadd(DATA_SIZE, results_data, input2_data); barrier()); + + + // verify + verify(DATA_SIZE, results_data, verify_data); + + // reset results from the first trial + if (coreid == 0) + { + for (i=0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + barrier(); + + + // Execute your faster vvadd + barrier(); + stats(vvadd_opt(DATA_SIZE, results_data, input2_data); barrier()); + +#ifdef DEBUG + printArray("results: ", DATA_SIZE, results_data); + printArray("verify : ", DATA_SIZE, verify_data); +#endif + + // verify + verify(DATA_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/bh_vvadd/dataset.h b/mt/bh_vvadd/dataset.h new file mode 100755 index 0000000..ce9f936 --- /dev/null +++ b/mt/bh_vvadd/dataset.h @@ -0,0 +1,165 @@ + +#define DATA_SIZE 1000 + +static data_t input1_data[DATA_SIZE] = +{ + 0.00, 15.00, 10.00, 3.00, 14.00, 6.00, 2.00, 18.00, 11.00, 15.00, 11.00, 0.00, 17.00, 16.00, 7.00, 13.00, 18.00, 2.00, 2.00, 5.00, + 8.00, 5.00, 12.00, 14.00, 6.00, 12.00, 16.00, 7.00, 9.00, 17.00, 10.00, 10.00, 3.00, 5.00, 14.00, 11.00, 9.00, 12.00, 3.00, 1.00, + 5.00, 4.00, 6.00, 17.00, 17.00, 4.00, 17.00, 15.00, 17.00, 18.00, 3.00, 18.00, 10.00, 6.00, 12.00, 12.00, 3.00, 2.00, 16.00, 1.00, + 5.00, 6.00, 2.00, 17.00, 16.00, 5.00, 10.00, 18.00, 14.00, 4.00, 9.00, 9.00, 7.00, 4.00, 8.00, 13.00, 12.00, 6.00, 4.00, 17.00, + 5.00, 2.00, 11.00, 11.00, 7.00, 6.00, 8.00, 5.00, 6.00, 6.00, 11.00, 1.00, 18.00, 7.00, 6.00, 9.00, 10.00, 17.00, 14.00, 4.00, + 14.00, 11.00, 2.00, 0.00, 2.00, 17.00, 17.00, 15.00, 10.00, 8.00, 12.00, 18.00, 5.00, 0.00, 0.00, 1.00, 1.00, 8.00, 11.00, 11.00, + 7.00, 5.00, 15.00, 18.00, 15.00, 6.00, 8.00, 9.00, 18.00, 6.00, 15.00, 16.00, 10.00, 18.00, 13.00, 6.00, 10.00, 16.00, 0.00, 10.00, + 12.00, 8.00, 8.00, 3.00, 0.00, 1.00, 4.00, 0.00, 8.00, 15.00, 16.00, 9.00, 7.00, 7.00, 10.00, 9.00, 16.00, 12.00, 5.00, 5.00, + 9.00, 5.00, 17.00, 4.00, 13.00, 13.00, 4.00, 14.00, 10.00, 5.00, 10.00, 10.00, 6.00, 18.00, 5.00, 15.00, 5.00, 15.00, 13.00, 18.00, + 6.00, 13.00, 5.00, 18.00, 12.00, 14.00, 1.00, 7.00, 2.00, 1.00, 7.00, 12.00, 15.00, 15.00, 6.00, 2.00, 1.00, 2.00, 18.00, 6.00, + 10.00, 14.00, 9.00, 15.00, 11.00, 0.00, 3.00, 1.00, 2.00, 2.00, 14.00, 7.00, 18.00, 0.00, 2.00, 2.00, 16.00, 8.00, 4.00, 5.00, + 7.00, 11.00, 7.00, 10.00, 14.00, 10.00, 3.00, 0.00, 13.00, 9.00, 14.00, 0.00, 14.00, 1.00, 3.00, 16.00, 2.00, 14.00, 6.00, 17.00, + 17.00, 6.00, 9.00, 8.00, 9.00, 12.00, 5.00, 14.00, 2.00, 16.00, 17.00, 5.00, 4.00, 0.00, 14.00, 10.00, 6.00, 15.00, 15.00, 14.00, + 5.00, 1.00, 8.00, 8.00, 13.00, 8.00, 0.00, 4.00, 7.00, 9.00, 13.00, 16.00, 9.00, 14.00, 9.00, 13.00, 0.00, 7.00, 16.00, 17.00, + 18.00, 10.00, 13.00, 8.00, 4.00, 9.00, 13.00, 0.00, 6.00, 4.00, 6.00, 4.00, 10.00, 14.00, 14.00, 9.00, 15.00, 15.00, 3.00, 3.00, + 12.00, 0.00, 3.00, 2.00, 16.00, 1.00, 7.00, 2.00, 16.00, 2.00, 2.00, 0.00, 14.00, 3.00, 3.00, 10.00, 4.00, 10.00, 3.00, 4.00, + 13.00, 14.00, 13.00, 0.00, 1.00, 15.00, 16.00, 9.00, 7.00, 9.00, 0.00, 11.00, 1.00, 1.00, 15.00, 17.00, 12.00, 16.00, 15.00, 4.00, + 8.00, 2.00, 10.00, 10.00, 0.00, 18.00, 17.00, 7.00, 7.00, 2.00, 10.00, 17.00, 9.00, 7.00, 5.00, 3.00, 8.00, 11.00, 6.00, 9.00, + 13.00, 0.00, 3.00, 5.00, 2.00, 5.00, 7.00, 4.00, 9.00, 2.00, 13.00, 17.00, 14.00, 12.00, 1.00, 3.00, 7.00, 17.00, 0.00, 14.00, + 16.00, 2.00, 2.00, 1.00, 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19.00, 29.00, 14.00, 11.00, + 23.00, 19.00, 17.00, 29.00, 24.00, 13.00, 23.00, 20.00, 28.00, 25.00, 13.00, 30.00, 28.00, 24.00, 27.00, 13.00, 6.00, 20.00, 27.00, 17.00, + 18.00, 24.00, 6.00, 30.00, 24.00, 12.00, 20.00, 31.00, 14.00, 13.00, 10.00, 25.00, 20.00, 11.00, 13.00, 18.00, 23.00, 7.00, 10.00, 27.00, + 17.00, 5.00, 21.00, 16.00, 22.00, 21.00, 21.00, 19.00, 20.00, 7.00, 29.00, 6.00, 34.00, 21.00, 16.00, 13.00, 18.00, 21.00, 20.00, 10.00, + 27.00, 25.00, 10.00, 5.00, 16.00, 27.00, 26.00, 25.00, 27.00, 23.00, 18.00, 34.00, 17.00, 9.00, 10.00, 17.00, 17.00, 16.00, 12.00, 23.00, + 14.00, 5.00, 15.00, 21.00, 20.00, 13.00, 18.00, 12.00, 35.00, 16.00, 33.00, 32.00, 11.00, 29.00, 31.00, 15.00, 12.00, 16.00, 12.00, 16.00, + 25.00, 9.00, 21.00, 8.00, 7.00, 14.00, 21.00, 9.00, 23.00, 28.00, 21.00, 11.00, 11.00, 11.00, 13.00, 9.00, 25.00, 23.00, 8.00, 17.00, + 15.00, 16.00, 18.00, 20.00, 25.00, 24.00, 6.00, 16.00, 25.00, 17.00, 18.00, 19.00, 20.00, 20.00, 16.00, 15.00, 5.00, 22.00, 15.00, 31.00, + 21.00, 31.00, 12.00, 34.00, 28.00, 15.00, 2.00, 19.00, 14.00, 3.00, 9.00, 13.00, 22.00, 19.00, 6.00, 10.00, 19.00, 6.00, 29.00, 12.00, + 27.00, 27.00, 21.00, 20.00, 27.00, 12.00, 3.00, 10.00, 12.00, 12.00, 32.00, 19.00, 26.00, 7.00, 7.00, 10.00, 32.00, 11.00, 13.00, 23.00, + 19.00, 24.00, 25.00, 16.00, 22.00, 22.00, 5.00, 12.00, 21.00, 17.00, 23.00, 18.00, 22.00, 1.00, 12.00, 18.00, 8.00, 21.00, 6.00, 20.00, + 28.00, 8.00, 27.00, 10.00, 25.00, 13.00, 21.00, 25.00, 13.00, 32.00, 33.00, 16.00, 11.00, 4.00, 28.00, 20.00, 11.00, 23.00, 19.00, 28.00, + 22.00, 14.00, 21.00, 11.00, 14.00, 22.00, 1.00, 11.00, 7.00, 11.00, 20.00, 30.00, 13.00, 23.00, 23.00, 16.00, 9.00, 20.00, 29.00, 20.00, + 21.00, 27.00, 13.00, 26.00, 8.00, 17.00, 19.00, 9.00, 10.00, 6.00, 6.00, 18.00, 13.00, 17.00, 28.00, 17.00, 21.00, 22.00, 5.00, 15.00, + 17.00, 14.00, 9.00, 14.00, 18.00, 17.00, 8.00, 17.00, 23.00, 20.00, 2.00, 0.00, 27.00, 16.00, 15.00, 21.00, 20.00, 25.00, 17.00, 12.00, + 22.00, 24.00, 21.00, 8.00, 14.00, 28.00, 29.00, 19.00, 8.00, 24.00, 4.00, 11.00, 13.00, 2.00, 23.00, 29.00, 13.00, 34.00, 27.00, 22.00, + 17.00, 3.00, 21.00, 15.00, 13.00, 25.00, 18.00, 20.00, 12.00, 10.00, 27.00, 28.00, 22.00, 22.00, 14.00, 6.00, 25.00, 29.00, 15.00, 12.00, + 28.00, 11.00, 15.00, 5.00, 4.00, 20.00, 10.00, 4.00, 22.00, 3.00, 27.00, 31.00, 29.00, 20.00, 7.00, 3.00, 7.00, 28.00, 17.00, 14.00, + 17.00, 10.00, 8.00, 7.00, 12.00, 21.00, 34.00, 20.00, 9.00, 22.00, 19.00, 21.00, 25.00, 24.00, 18.00, 14.00, 23.00, 23.00, 9.00, 15.00, + 19.00, 7.00, 20.00, 32.00, 20.00, 27.00, 27.00, 30.00, 27.00, 32.00, 8.00, 19.00, 21.00, 28.00, 16.00, 25.00, 13.00, 22.00, 24.00, 13.00, + 21.00, 16.00, 10.00, 23.00, 21.00, 11.00, 25.00, 19.00, 21.00, 14.00, 14.00, 26.00, 30.00, 12.00, 5.00, 26.00, 22.00, 11.00, 7.00, 16.00, + 12.00, 22.00, 14.00, 23.00, 21.00, 28.00, 31.00, 20.00, 1.00, 23.00, 30.00, 32.00, 16.00, 14.00, 9.00, 23.00, 21.00, 31.00, 3.00, 23.00, + 17.00, 7.00, 22.00, 6.00, 30.00, 4.00, 7.00, 22.00, 17.00, 17.00, 19.00, 18.00, 31.00, 11.00, 18.00, 11.00, 22.00, 12.00, 29.00, 15.00, + 35.00, 11.00, 12.00, 17.00, 18.00, 29.00, 17.00, 33.00, 33.00, 15.00, 27.00, 20.00, 29.00, 14.00, 23.00, 15.00, 21.00, 18.00, 20.00, 17.00, + 24.00, 5.00, 29.00, 13.00, 19.00, 18.00, 19.00, 13.00, 5.00, 16.00, 22.00, 14.00, 25.00, 21.00, 7.00, 17.00, 19.00, 15.00, 5.00, 16.00, + 33.00, 28.00, 10.00, 24.00, 24.00, 13.00, 11.00, 17.00, 12.00, 28.00, 21.00, 5.00, 19.00, 25.00, 13.00, 5.00, 10.00, 25.00, 21.00, 17.00, + 13.00, 20.00, 9.00, 16.00, 24.00, 18.00, 16.00, 22.00, 19.00, 10.00, 0.00, 14.00, 21.00, 24.00, 23.00, 10.00, 33.00, 23.00, 21.00, 17.00, + 17.00, 19.00, 26.00, 22.00, 12.00, 27.00, 31.00, 23.00, 6.00, 32.00, 12.00, 10.00, 9.00, 19.00, 18.00, 18.00, 20.00, 24.00, 17.00, 7.00, + 21.00, 27.00, 14.00, 20.00, 5.00, 19.00, 11.00, 18.00, 25.00, 1.00, 12.00, 21.00, 13.00, 26.00, 20.00, 3.00, 17.00, 28.00, 18.00, 16.00, + 13.00, 11.00, 11.00, 24.00, 2.00, 27.00, 18.00, 19.00, 18.00, 16.00, 25.00, 15.00, 9.00, 19.00, 26.00, 24.00, 19.00, 13.00, 16.00, 12.00, + 25.00, 12.00, 12.00, 24.00, 20.00, 9.00, 22.00, 6.00, 13.00, 11.00, 11.00, 20.00, 11.00, 22.00, 3.00, 17.00, 25.00, 14.00, 25.00, 16.00, + 3.00, 16.00, 23.00, 24.00, 24.00, 29.00, 24.00, 6.00, 12.00, 14.00, 23.00, 29.00, 23.00, 26.00, 14.00, 35.00, 17.00, 20.00, 12.00, 25.00, + 2.00, 29.00, 16.00, 3.00, 17.00, 32.00, 30.00, 5.00, 31.00, 25.00, 24.00, 29.00, 22.00, 26.00, 7.00, 14.00, 6.00, 11.00, 32.00, 1.00, + 18.00, 12.00, 20.00, 16.00, 15.00, 20.00, 19.00, 30.00, 23.00, 11.00, 12.00, 24.00, 13.00, 27.00, 2.00, 3.00, 36.00, 9.00, 13.00, 14.00, + 16.00, 23.00, 23.00, 24.00, 13.00, 22.00, 18.00, 26.00, 24.00, 22.00, 28.00, 23.00, 25.00, 28.00, 7.00, 14.00, 31.00, 15.00, 23.00, 25.00, + 15.00, 20.00, 15.00, 19.00, 8.00, 27.00, 25.00, 19.00, 21.00, 28.00, 11.00, 14.00, 25.00, 24.00, 11.00, 29.00, 19.00, 25.00, 16.00, 33.00, + 18.00, 9.00, 3.00, 13.00, 13.00, 13.00, 21.00, 20.00, 23.00, 7.00, 11.00, 18.00, 25.00, 26.00, 30.00, 12.00, 21.00, 21.00, 27.00, 14.00, + 21.00, 31.00, 3.00, 21.00, 14.00, 20.00, 30.00, 20.00, 21.00, 32.00, 27.00, 24.00, 16.00, 31.00, 5.00, 20.00, 14.00, 17.00, 15.00, 16.00, + 19.00, 13.00, 4.00, 21.00, 20.00, 29.00, 10.00, 22.00, 19.00, 24.00, 29.00, 14.00, 10.00, 15.00, 18.00, 7.00, 28.00, 17.00, 7.00, 2.00, + 1.00, 19.00, 17.00, 23.00, 31.00, 13.00, 20.00, 36.00, 17.00, 27.00, 28.00, 18.00, 20.00, 29.00, 17.00, 23.00, 24.00, 23.00, 26.00, 17.00, + 9.00, 26.00, 16.00, 18.00, 10.00, 28.00, 32.00, 20.00, 19.00, 14.00, 22.00, 23.00, 13.00, 22.00, 14.00, 7.00, 20.00, 10.00, 25.00, 9.00, + 7.00, 2.00, 31.00, 16.00, 16.00, 22.00, 5.00, 15.00, 26.00, 23.00, 10.00, 18.00, 32.00, 24.00, 15.00, 30.00, 16.00, 13.00, 15.00, 7.00, + 11.00, 6.00, 21.00, 14.00, 25.00, 21.00, 11.00, 16.00, 14.00, 26.00, 25.00, 15.00, 22.00, 24.00, 4.00, 19.00, 14.00, 26.00, 22.00, 17.00, + 13.00, 14.00, 7.00, 32.00, 20.00, 33.00, 13.00, 7.00, 29.00, 8.00, 26.00, 6.00, 9.00, 13.00, 22.00, 23.00, 8.00, 22.00, 22.00, 10.00, + 24.00, 2.00, 17.00, 9.00, 22.00, 30.00, 24.00, 33.00, 25.00, 17.00, 23.00, 9.00, 13.00, 15.00, 23.00, 10.00, 1.00, 22.00, 17.00, 10.00, + 32.00, 24.00, 26.00, 4.00, 15.00, 0.00, 27.00, 23.00, 28.00, 23.00, 30.00, 7.00, 16.00, 33.00, 20.00, 14.00, 23.00, 14.00, 20.00, 14.00, + 7.00, 25.00, 24.00, 12.00, 29.00, 16.00, 17.00, 20.00, 29.00, 16.00, 13.00, 18.00, 26.00, 18.00, 18.00, 17.00, 13.00, 29.00, 14.00, 17.00, + 24.00, 16.00, 21.00, 14.00, 26.00, 9.00, 11.00, 28.00, 25.00, 15.00, 15.00, 12.00, 6.00, 14.00, 27.00, 14.00, 24.00, 18.00, 18.00, 14.00, + 32.00, 21.00, 26.00, 13.00, 6.00, 24.00, 22.00, 27.00, 17.00, 26.00, 19.00, 21.00, 19.00, 9.00, 21.00, 25.00, 17.00, 27.00, 15.00, 18.00 +}; + diff --git a/mt/bh_vvadd/vvadd_gendata.pl b/mt/bh_vvadd/vvadd_gendata.pl new file mode 100755 index 0000000..a9fceac --- /dev/null +++ b/mt/bh_vvadd/vvadd_gendata.pl @@ -0,0 +1,139 @@ +#!/usr/bin/perl -w +#========================================================================== +# vvadd_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the vvadd benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: vvadd_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[DATA_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3.2f",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + my @values1; + my @values2; + my @sum; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + my $value1 = int(rand(19)); + my $value2 = int(rand(19)); + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @sum, $value1 + $value2 ); + } + + + print "\n\#define DATA_SIZE ".$opts{"size"}." \n\n"; + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@sum ); + +} + +main(); + diff --git a/mt/bj_matmul/bj_matmul.c b/mt/bj_matmul/bj_matmul.c new file mode 100644 index 0000000..5766e91 --- /dev/null +++ b/mt/bj_matmul/bj_matmul.c @@ -0,0 +1,248 @@ +//**************************************************************************
+// Multi-threaded Matrix Multiply benchmark
+//--------------------------------------------------------------------------
+// TA : Christopher Celio
+// Student:
+//
+//
+// This benchmark multiplies two 2-D arrays together and writes the results to
+// a third vector. The input data (and reference data) should be generated
+// using the matmul_gendata.pl perl script and dumped to a file named
+// dataset.h.
+
+
+// print out arrays, etc.
+//#define DEBUG
+
+//--------------------------------------------------------------------------
+// Includes
+
+#include <string.h>
+#include <stdlib.h>
+#include <stdio.h>
+
+
+//--------------------------------------------------------------------------
+// Input/Reference Data
+
+typedef float data_t;
+#include "dataset.h"
+
+
+//--------------------------------------------------------------------------
+// Basic Utilities and Multi-thread Support
+
+__thread unsigned long coreid;
+unsigned long ncores;
+
+#include "util.h"
+
+#define stringify_1(s) #s
+#define stringify(s) stringify_1(s)
+#define stats(code) do { \
+unsigned long _c = -rdcycle(), _i = -rdinstret(); \
+code; \
+_c += rdcycle(), _i += rdinstret(); \
+if (coreid == 0) \
+printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \
+stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \
+} while(0)
+
+
+//--------------------------------------------------------------------------
+// Helper functions
+
+void printArray( char name[], int n, data_t arr[] )
+{
+ int i;
+ if (coreid != 0)
+ return;
+
+ printf( " %10s :", name );
+ for ( i = 0; i < n; i++ )
+ printf( " %3ld ", (long) arr[i] );
+ printf( "\n" );
+}
+
+void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct)
+{
+ if (coreid != 0)
+ return;
+
+ size_t i;
+ for (i = 0; i < n; i++)
+ {
+ if (test[i] != correct[i])
+ {
+ printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n",
+ i, (long)test[i], i, (long)correct[i]);
+ exit(-1);
+ }
+ }
+
+ return;
+}
+
+//--------------------------------------------------------------------------
+// matmul function
+
+// single-thread, naive version
+void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] )
+{
+
+ int i, j, k;
+
+ if (coreid > 0)
+ return;
+
+ for ( i = 0; i < lda; i++ )
+ for ( j = 0; j < lda; j++ )
+ {
+ for ( k = 0; k < lda; k++ )
+ {
+ C[i + j*lda] += A[j*lda + k] * B[k*lda + i];
+ }
+ }
+
+}
+
+
+
+void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] )
+{
+
+ // ***************************** //
+ // **** ADD YOUR CODE HERE ***** //
+ // ***************************** //
+ //
+ // feel free to make a separate function for MI and MSI versions.
+
+ int m, i, j, k, iB0, iB1;
+ data_t tempC0, tempC1, tempC2, tempC3, tempC4, tempC5, tempC6, tempC7;
+ data_t tempA0, tempA1;
+
+ if (coreid == 0){
+ for (m = 0; m < 2; m++){
+ for (j = 0; j < lda/2; j++){
+ for (i = 0; i < lda; i+=8){
+ tempC0 = C[i + j*lda];
+ tempC1 = C[i + j*lda+1];
+ tempC2 = C[i + j*lda+2];
+ tempC3 = C[i + j*lda+3];
+ tempC4 = C[i + j*lda+4];
+ tempC5 = C[i + j*lda+5];
+ tempC6 = C[i + j*lda+6];
+ tempC7 = C[i + j*lda+7];
+ iB0 = m*lda*lda/2+i;
+ iB1 = iB0+lda;
+ for (k = m*lda/2; k < (m+1)*lda/2; k+=2){
+ tempA0 = A[j*lda+k];
+ tempA1 = A[j*lda+k+1];
+ tempC0 += tempA0*B[iB0]+tempA1*B[iB1];
+ tempC1 += tempA0*B[iB0+1]+tempA1*B[iB1+1];
+ tempC2 += tempA0*B[iB0+2]+tempA1*B[iB1+2];
+ tempC3 += tempA0*B[iB0+3]+tempA1*B[iB1+3];
+ tempC4 += tempA0*B[iB0+4]+tempA1*B[iB1+4];
+ tempC5 += tempA0*B[iB0+5]+tempA1*B[iB1+5];
+ tempC6 += tempA0*B[iB0+6]+tempA1*B[iB1+6];
+ tempC7 += tempA0*B[iB0+7]+tempA1*B[iB1+7];
+ iB0 += 2*lda;
+ iB1 += 2*lda;
+
+ }
+ C[i + j*lda] = tempC0;
+ C[i + j*lda + 1] = tempC1;
+ C[i + j*lda + 2] = tempC2;
+ C[i + j*lda + 3] = tempC3;
+ C[i + j*lda + 4] = tempC4;
+ C[i + j*lda + 5] = tempC5;
+ C[i + j*lda + 6] = tempC6;
+ C[i + j*lda + 7] = tempC7;
+ }
+ }
+ }
+ } else {
+ for (m = 2; m > 0; m--){
+ for (j = lda-1; j >= lda/2; j--){
+ for (i = lda-1; i >= 0; i-=8){
+ tempC0 = C[i + j*lda];
+ tempC1 = C[i + j*lda - 1];
+ tempC2 = C[i + j*lda - 2];
+ tempC3 = C[i + j*lda - 3];
+ tempC4 = C[i + j*lda - 4];
+ tempC5 = C[i + j*lda - 5];
+ tempC6 = C[i + j*lda - 6];
+ tempC7 = C[i + j*lda - 7];
+ for (k = m*lda/2-1; k >= (m-1)*lda/2; k-=2){
+ tempA0 = A[j*lda+k];
+ tempA1 = A[j*lda+k-1];
+ tempC0 += tempA0*B[k*lda+i]+tempA1*B[(k-1)*lda+i];
+ tempC1 += tempA0*B[k*lda+i-1]+tempA1*B[(k-1)*lda+i-1];
+ tempC2 += tempA0*B[k*lda+i-2]+tempA1*B[(k-1)*lda+i-2];
+ tempC3 += tempA0*B[k*lda+i-3]+tempA1*B[(k-1)*lda+i-3];
+ tempC4 += tempA0*B[k*lda+i-4]+tempA1*B[(k-1)*lda+i-4];
+ tempC5 += tempA0*B[k*lda+i-5]+tempA1*B[(k-1)*lda+i-5];
+ tempC6 += tempA0*B[k*lda+i-6]+tempA1*B[(k-1)*lda+i-6];
+ tempC7 += tempA0*B[k*lda+i-7]+tempA1*B[(k-1)*lda+i-7];
+ }
+ C[i + j*lda] = tempC0;
+ C[i + j*lda - 1] = tempC1;
+ C[i + j*lda - 2] = tempC2;
+ C[i + j*lda - 3] = tempC3;
+ C[i + j*lda - 4] = tempC4;
+ C[i + j*lda - 5] = tempC5;
+ C[i + j*lda - 6] = tempC6;
+ C[i + j*lda - 7] = tempC7;
+ }
+ }
+ }
+ }
+}
+
+//--------------------------------------------------------------------------
+// Main
+//
+// all threads start executing thread_entry(). Use their "coreid" to
+// differentiate between threads (each thread is running on a separate core).
+
+void thread_entry(int cid, int nc)
+{
+ coreid = cid;
+ ncores = nc;
+
+ // static allocates data in the binary, which is visible to both threads
+ static data_t results_data[ARRAY_SIZE];
+
+
+// // Execute the provided, naive matmul
+// barrier();
+// stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier());
+//
+//
+// // verify
+// verify(ARRAY_SIZE, results_data, verify_data);
+//
+// // clear results from the first trial
+// size_t i;
+// if (coreid == 0)
+// for (i=0; i < ARRAY_SIZE; i++)
+// results_data[i] = 0;
+// barrier();
+
+
+ // Execute your faster matmul
+ barrier();
+ stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier());
+
+#ifdef DEBUG
+ printArray("results:", ARRAY_SIZE, results_data);
+ printArray("verify :", ARRAY_SIZE, verify_data);
+#endif
+
+ // verify
+ verify(ARRAY_SIZE, results_data, verify_data);
+ barrier();
+
+ exit(0);
+}
+
diff --git a/mt/bj_matmul/dataset.h b/mt/bj_matmul/dataset.h new file mode 100755 index 0000000..dde3ee4 --- /dev/null +++ b/mt/bj_matmul/dataset.h @@ -0,0 +1,174 @@ + +#define ARRAY_SIZE 1024 + + +#define DIM_SIZE 32 + +static data_t input1_data[ARRAY_SIZE] = +{ + 0, 3, 2, 0, 3, 1, 0, 3, 2, 3, 2, 0, 3, 3, 1, 2, 3, 0, 0, 1, + 1, 1, 2, 3, 1, 2, 3, 1, 1, 3, 2, 2, 0, 1, 3, 2, 2, 2, 0, 0, + 1, 0, 1, 3, 3, 0, 3, 3, 3, 3, 0, 3, 2, 1, 2, 2, 0, 0, 3, 0, + 1, 1, 0, 3, 3, 1, 2, 3, 3, 0, 1, 2, 1, 0, 1, 2, 2, 1, 0, 3, + 1, 0, 2, 2, 1, 1, 1, 1, 1, 1, 2, 0, 3, 1, 1, 2, 2, 3, 3, 1, + 3, 2, 0, 0, 0, 3, 3, 3, 2, 1, 2, 3, 1, 0, 0, 0, 0, 1, 2, 2, + 1, 1, 3, 3, 3, 1, 1, 2, 3, 1, 3, 3, 2, 3, 2, 1, 2, 3, 0, 2, + 2, 1, 1, 0, 0, 0, 0, 0, 1, 3, 3, 1, 1, 1, 2, 2, 3, 2, 1, 1, + 1, 1, 3, 0, 2, 2, 1, 3, 2, 1, 2, 2, 1, 3, 1, 3, 1, 3, 2, 3, + 1, 2, 1, 3, 2, 2, 0, 1, 0, 0, 1, 2, 3, 3, 1, 0, 0, 0, 3, 1, + 2, 3, 2, 3, 2, 0, 0, 0, 0, 0, 3, 1, 3, 0, 0, 0, 3, 1, 1, 1, + 1, 2, 1, 2, 3, 2, 0, 0, 2, 2, 3, 0, 3, 0, 0, 3, 0, 3, 1, 3, + 3, 1, 1, 1, 2, 2, 1, 3, 0, 3, 3, 1, 0, 0, 3, 2, 1, 3, 3, 3, + 1, 0, 1, 1, 2, 1, 0, 1, 1, 2, 2, 3, 1, 2, 2, 2, 0, 1, 3, 3, + 3, 2, 2, 1, 0, 1, 2, 0, 1, 1, 1, 1, 2, 3, 2, 2, 3, 3, 0, 0, + 2, 0, 0, 0, 3, 0, 1, 0, 3, 0, 0, 0, 3, 0, 0, 2, 0, 2, 0, 0, + 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 0, 2, 0, 0, 3, 3, 2, 3, 3, 0, + 1, 0, 2, 2, 0, 3, 3, 1, 1, 0, 2, 3, 2, 1, 1, 0, 1, 2, 1, 2, + 2, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 3, 3, 2, 0, 0, 1, 3, 0, 3, + 3, 0, 0, 0, 0, 3, 3, 1, 0, 0, 3, 3, 2, 1, 2, 1, 3, 3, 0, 1, + 3, 0, 2, 3, 1, 3, 3, 3, 3, 3, 0, 1, 1, 3, 0, 2, 2, 3, 1, 2, + 2, 2, 1, 3, 3, 0, 3, 0, 0, 2, 0, 2, 3, 0, 1, 3, 2, 2, 0, 0, + 2, 3, 0, 2, 2, 2, 3, 1, 0, 3, 3, 3, 3, 1, 0, 3, 3, 2, 0, 3, + 2, 0, 3, 0, 2, 0, 0, 2, 2, 1, 0, 2, 3, 1, 1, 1, 1, 2, 3, 3, + 3, 0, 0, 3, 3, 3, 2, 3, 3, 1, 2, 2, 3, 1, 2, 1, 1, 3, 0, 1, + 2, 0, 2, 0, 0, 1, 3, 2, 0, 1, 3, 2, 3, 3, 0, 0, 0, 1, 0, 3, + 3, 2, 2, 2, 1, 1, 2, 2, 1, 3, 2, 0, 1, 3, 2, 0, 2, 1, 3, 0, + 0, 0, 1, 3, 3, 2, 2, 2, 3, 1, 0, 0, 1, 1, 2, 1, 3, 1, 1, 2, + 2, 3, 2, 3, 0, 2, 3, 3, 0, 3, 0, 0, 1, 0, 0, 0, 1, 3, 1, 1, + 2, 3, 2, 1, 1, 2, 2, 2, 3, 0, 1, 1, 2, 1, 2, 0, 2, 3, 1, 3, + 0, 1, 1, 3, 0, 2, 3, 0, 1, 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 2, + 3, 0, 1, 1, 1, 1, 2, 0, 1, 2, 0, 1, 1, 1, 0, 1, 3, 2, 3, 1, + 0, 2, 1, 2, 1, 3, 3, 1, 0, 2, 2, 3, 1, 3, 1, 3, 0, 1, 0, 3, + 0, 3, 2, 0, 3, 3, 3, 0, 3, 2, 2, 2, 1, 3, 0, 0, 1, 1, 3, 0, + 1, 2, 1, 0, 0, 0, 3, 2, 2, 0, 0, 2, 1, 3, 0, 0, 3, 0, 0, 2, + 1, 1, 2, 2, 1, 3, 2, 2, 1, 1, 2, 1, 3, 2, 1, 1, 3, 0, 1, 3, + 3, 2, 2, 1, 0, 3, 2, 2, 2, 3, 0, 1, 3, 3, 2, 3, 0, 3, 2, 3, + 1, 1, 0, 0, 0, 2, 3, 0, 3, 0, 1, 1, 3, 1, 3, 2, 1, 1, 2, 1, + 3, 2, 0, 2, 1, 0, 2, 3, 2, 3, 2, 1, 2, 3, 0, 0, 1, 1, 0, 0, + 2, 1, 0, 1, 2, 2, 2, 2, 0, 3, 3, 1, 0, 0, 0, 0, 3, 1, 1, 0, + 0, 0, 0, 1, 2, 2, 1, 3, 0, 2, 3, 2, 3, 2, 2, 1, 2, 2, 3, 3, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 2, 2, 3, 1, 1, 1, 0, 0, 0, 3, 0, + 1, 0, 3, 1, 1, 3, 0, 1, 2, 2, 0, 0, 3, 3, 3, 3, 2, 1, 0, 0, + 1, 0, 2, 0, 1, 1, 0, 0, 3, 3, 2, 1, 1, 1, 0, 1, 1, 2, 2, 1, + 1, 2, 0, 3, 1, 3, 1, 0, 3, 0, 3, 1, 1, 1, 0, 2, 0, 3, 1, 0, + 1, 0, 2, 0, 2, 3, 3, 3, 1, 2, 3, 2, 2, 0, 1, 1, 0, 3, 3, 1, + 3, 3, 2, 0, 2, 0, 2, 2, 3, 3, 3, 0, 2, 3, 3, 1, 3, 2, 2, 2, + 0, 2, 3, 0, 2, 0, 3, 2, 2, 1, 1, 0, 2, 2, 2, 0, 2, 2, 0, 1, + 3, 2, 1, 3, 2, 2, 0, 3, 3, 1, 2, 2, 0, 0, 3, 2, 1, 2, 2, 1, + 3, 1, 2, 0, 0, 1, 1, 2, 1, 3, 2, 2, 3, 0, 2, 1, 3, 2, 1, 3, + 2, 3, 3, 1, 2, 1, 2, 2, 0, 0, 0, 3, 0, 2, 3, 1, 0, 0, 2, 3, + 3, 2, 2, 1 +}; + +static data_t input2_data[ARRAY_SIZE] = +{ + 1, 1, 0, 3, 1, 2, 0, 0, 0, 0, 0, 2, 1, 2, 3, 0, 0, 3, 3, 2, + 2, 1, 2, 3, 3, 0, 2, 2, 1, 1, 2, 2, 0, 2, 2, 1, 2, 3, 2, 2, + 3, 3, 2, 2, 1, 1, 1, 1, 2, 1, 2, 2, 3, 3, 3, 0, 0, 3, 2, 3, + 2, 3, 1, 2, 1, 1, 2, 2, 0, 1, 0, 3, 2, 1, 1, 1, 2, 0, 1, 2, + 2, 0, 2, 1, 3, 3, 2, 3, 2, 0, 3, 1, 3, 3, 2, 0, 1, 0, 1, 1, + 2, 2, 1, 1, 2, 2, 1, 2, 3, 3, 1, 3, 2, 2, 2, 3, 3, 1, 0, 2, + 1, 0, 0, 0, 1, 1, 2, 0, 3, 2, 3, 3, 0, 2, 3, 1, 0, 0, 2, 1, + 2, 0, 2, 1, 1, 2, 3, 1, 3, 2, 1, 0, 0, 0, 0, 0, 2, 2, 0, 2, + 1, 2, 0, 3, 2, 2, 0, 0, 3, 2, 1, 1, 3, 0, 2, 0, 0, 1, 0, 2, + 3, 3, 1, 3, 3, 0, 0, 2, 2, 0, 0, 0, 1, 0, 0, 1, 3, 0, 2, 1, + 3, 2, 2, 1, 3, 2, 0, 1, 2, 2, 3, 2, 1, 1, 1, 1, 3, 0, 1, 3, + 2, 2, 3, 1, 1, 2, 0, 2, 1, 1, 2, 3, 1, 0, 1, 0, 1, 1, 0, 0, + 2, 0, 3, 0, 3, 0, 3, 2, 2, 3, 3, 2, 1, 0, 2, 2, 1, 1, 0, 3, + 3, 2, 2, 0, 0, 3, 0, 1, 0, 0, 1, 2, 0, 1, 3, 0, 1, 2, 2, 0, + 0, 3, 0, 3, 0, 1, 1, 2, 0, 0, 0, 3, 0, 0, 2, 1, 1, 1, 0, 2, + 1, 3, 1, 2, 0, 3, 0, 3, 1, 3, 0, 0, 2, 2, 2, 2, 3, 3, 2, 1, + 2, 2, 1, 1, 2, 2, 2, 2, 0, 3, 0, 0, 2, 0, 1, 2, 0, 3, 2, 3, + 2, 0, 2, 1, 2, 1, 0, 2, 1, 1, 3, 2, 2, 3, 1, 0, 3, 3, 1, 0, + 3, 2, 2, 0, 0, 3, 0, 0, 2, 0, 3, 2, 3, 1, 1, 0, 0, 2, 3, 0, + 0, 1, 1, 1, 2, 1, 3, 2, 1, 3, 0, 1, 3, 3, 1, 1, 1, 1, 1, 1, + 0, 0, 2, 3, 2, 2, 2, 3, 2, 3, 1, 2, 3, 2, 2, 2, 0, 1, 3, 0, + 1, 1, 0, 1, 0, 1, 1, 3, 3, 1, 2, 2, 3, 2, 0, 2, 2, 0, 1, 3, + 0, 1, 3, 2, 1, 3, 3, 2, 0, 1, 3, 2, 0, 2, 1, 1, 0, 3, 0, 1, + 1, 1, 1, 1, 3, 0, 0, 1, 0, 2, 3, 1, 3, 0, 2, 1, 3, 0, 3, 0, + 3, 2, 2, 0, 0, 2, 1, 3, 3, 2, 3, 2, 2, 1, 2, 2, 3, 0, 3, 2, + 2, 0, 3, 2, 3, 2, 0, 0, 1, 2, 0, 0, 2, 0, 0, 3, 3, 2, 0, 0, + 3, 3, 0, 2, 3, 1, 0, 1, 0, 2, 1, 0, 2, 1, 0, 1, 0, 3, 0, 2, + 2, 3, 0, 0, 2, 1, 0, 1, 0, 0, 0, 2, 2, 3, 2, 0, 3, 3, 2, 1, + 0, 0, 3, 1, 2, 3, 3, 1, 0, 3, 1, 1, 0, 3, 3, 3, 2, 2, 2, 0, + 1, 2, 0, 3, 0, 1, 0, 1, 1, 0, 1, 2, 0, 3, 2, 0, 1, 2, 2, 0, + 2, 0, 0, 1, 0, 3, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 1, 1, 1, 0, + 2, 1, 1, 3, 2, 0, 2, 1, 1, 0, 2, 2, 1, 3, 0, 2, 1, 0, 1, 2, + 0, 1, 3, 2, 3, 2, 1, 0, 2, 0, 2, 2, 3, 1, 1, 3, 2, 3, 2, 2, + 0, 2, 0, 0, 0, 3, 2, 0, 2, 2, 3, 3, 3, 2, 1, 2, 0, 0, 3, 0, + 2, 0, 3, 2, 2, 3, 0, 3, 2, 1, 2, 2, 1, 2, 0, 0, 3, 1, 2, 0, + 2, 3, 2, 2, 1, 1, 1, 3, 3, 3, 3, 3, 1, 3, 0, 1, 3, 2, 2, 1, + 0, 1, 1, 2, 1, 2, 3, 1, 2, 2, 1, 2, 1, 1, 0, 3, 3, 1, 1, 3, + 2, 0, 0, 1, 2, 0, 1, 3, 1, 0, 0, 2, 2, 3, 3, 0, 2, 3, 2, 1, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 3, 3, 3, 1, 3, 0, 3, 1, 1, 2, 2, + 2, 1, 0, 3, 2, 3, 0, 2, 3, 2, 3, 1, 2, 3, 3, 1, 2, 1, 0, 0, + 0, 3, 3, 3, 3, 0, 3, 3, 3, 3, 2, 1, 0, 3, 0, 3, 2, 3, 1, 0, + 0, 1, 3, 1, 0, 2, 2, 3, 1, 0, 2, 1, 1, 3, 1, 1, 3, 1, 2, 1, + 0, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 3, 3, 1, 0, 3, 1, 1, 2, 0, + 0, 0, 2, 3, 3, 2, 2, 3, 0, 2, 3, 1, 3, 3, 0, 2, 1, 2, 2, 2, + 1, 0, 1, 3, 2, 3, 1, 1, 2, 1, 1, 0, 0, 2, 3, 2, 1, 0, 3, 1, + 3, 0, 1, 1, 2, 2, 1, 3, 3, 1, 1, 0, 0, 3, 3, 0, 0, 0, 0, 0, + 3, 1, 3, 0, 0, 0, 3, 3, 2, 1, 3, 0, 1, 3, 1, 1, 1, 0, 1, 0, + 1, 2, 2, 2, 3, 3, 0, 2, 3, 2, 1, 3, 3, 1, 1, 3, 0, 3, 3, 2, + 1, 1, 2, 0, 3, 0, 1, 2, 1, 1, 0, 0, 1, 2, 2, 0, 3, 1, 1, 1, + 3, 3, 3, 1, 0, 3, 3, 2, 2, 2, 1, 2, 0, 1, 1, 3, 0, 3, 1, 0, + 2, 2, 0, 1, 2, 3, 2, 1, 2, 0, 3, 2, 1, 3, 0, 1, 2, 0, 3, 0, + 1, 1, 2, 1 +}; + +static data_t verify_data[ARRAY_SIZE] = +{ + 72, 75, 88, 101, 80, 88, 73, 75, 80, 81, 58, 75, 86, 65, 60, 80, 84, 83, 87, 83, + 108, 93, 85, 76, 72, 98, 79, 86, 80, 96, 91, 85, 72, 64, 70, 83, 68, 92, 51, 54, + 85, 85, 60, 58, 90, 64, 55, 69, 72, 48, 94, 77, 91, 83, 70, 69, 67, 77, 59, 50, + 67, 74, 77, 67, 67, 62, 72, 71, 68, 79, 54, 61, 67, 61, 55, 62, 78, 60, 53, 64, + 67, 69, 99, 68, 88, 60, 66, 63, 70, 62, 65, 50, 53, 66, 70, 72, 75, 78, 85, 95, + 71, 89, 70, 68, 86, 88, 58, 77, 84, 70, 65, 68, 73, 75, 91, 96, 105, 92, 76, 68, + 86, 69, 80, 59, 73, 83, 88, 75, 64, 63, 71, 99, 77, 77, 69, 55, 80, 73, 54, 73, + 87, 78, 60, 69, 65, 78, 86, 89, 95, 92, 63, 69, 89, 61, 80, 65, 70, 77, 89, 77, + 79, 79, 73, 92, 64, 81, 60, 78, 81, 80, 61, 63, 89, 65, 56, 83, 77, 65, 102, 70, + 98, 86, 96, 68, 72, 89, 73, 73, 70, 89, 84, 76, 48, 61, 63, 70, 70, 79, 50, 53, + 64, 63, 43, 51, 59, 62, 43, 63, 55, 77, 79, 74, 75, 74, 64, 44, 65, 69, 72, 66, + 54, 71, 74, 72, 69, 76, 68, 89, 94, 75, 65, 53, 85, 79, 65, 74, 82, 73, 58, 70, + 84, 77, 99, 72, 92, 84, 78, 62, 59, 83, 71, 74, 63, 85, 80, 78, 71, 72, 79, 83, + 73, 82, 60, 85, 76, 82, 60, 70, 82, 68, 54, 85, 84, 70, 86, 74, 100, 88, 98, 68, + 67, 87, 69, 73, 68, 88, 76, 71, 47, 43, 47, 80, 54, 65, 40, 37, 59, 53, 33, 48, + 62, 40, 36, 55, 36, 62, 53, 57, 70, 69, 45, 43, 53, 61, 42, 57, 56, 63, 51, 47, + 59, 75, 64, 89, 83, 75, 59, 75, 91, 92, 58, 64, 83, 74, 58, 60, 76, 66, 97, 69, + 90, 95, 92, 64, 78, 75, 77, 73, 65, 78, 82, 75, 47, 54, 59, 71, 59, 56, 53, 42, + 60, 55, 40, 51, 60, 46, 36, 59, 46, 57, 67, 43, 51, 53, 53, 38, 54, 56, 55, 48, + 41, 46, 63, 63, 80, 77, 89, 102, 89, 98, 74, 86, 98, 93, 63, 76, 98, 77, 48, 101, + 86, 88, 100, 82, 102, 90, 95, 75, 86, 103, 83, 98, 80, 104, 98, 86, 71, 74, 80, 90, + 86, 87, 73, 70, 81, 83, 55, 66, 90, 66, 58, 84, 77, 84, 93, 72, 99, 75, 85, 65, + 70, 89, 71, 82, 64, 79, 82, 80, 67, 73, 86, 101, 78, 97, 66, 64, 84, 80, 55, 64, + 79, 73, 51, 79, 89, 68, 94, 77, 109, 102, 82, 61, 66, 93, 88, 70, 82, 82, 85, 69, + 69, 72, 66, 97, 85, 90, 70, 59, 76, 89, 53, 56, 90, 79, 71, 64, 70, 67, 100, 92, + 106, 89, 83, 78, 73, 80, 70, 72, 65, 70, 92, 88, 57, 76, 55, 85, 66, 80, 61, 63, + 63, 78, 54, 58, 71, 73, 54, 63, 63, 62, 89, 76, 86, 81, 83, 54, 70, 81, 78, 64, + 56, 72, 74, 81, 75, 63, 68, 89, 65, 77, 58, 68, 75, 83, 52, 62, 82, 63, 55, 75, + 51, 70, 95, 66, 83, 77, 86, 61, 64, 77, 48, 70, 66, 82, 72, 75, 79, 71, 72, 89, + 78, 78, 66, 59, 91, 80, 55, 64, 79, 68, 54, 71, 67, 75, 87, 84, 100, 101, 76, 58, + 74, 82, 61, 74, 75, 97, 85, 79, 61, 55, 69, 68, 72, 65, 52, 64, 80, 73, 48, 54, + 71, 66, 42, 61, 66, 63, 92, 64, 85, 77, 73, 54, 74, 73, 76, 66, 62, 79, 85, 70, + 71, 84, 87, 81, 88, 86, 77, 77, 93, 88, 78, 71, 101, 89, 58, 84, 95, 81, 89, 97, + 104, 79, 83, 76, 90, 81, 91, 74, 70, 76, 91, 80, 51, 48, 56, 69, 47, 63, 54, 42, + 63, 63, 42, 52, 66, 56, 39, 59, 61, 52, 59, 63, 62, 68, 57, 35, 67, 58, 56, 52, + 61, 63, 60, 47, 85, 75, 89, 106, 88, 95, 74, 82, 107, 107, 64, 78, 98, 90, 62, 91, + 79, 87, 111, 84, 104, 106, 96, 68, 94, 99, 81, 89, 79, 105, 95, 86, 65, 63, 77, 89, + 66, 88, 56, 73, 82, 92, 41, 62, 85, 66, 50, 81, 57, 71, 77, 78, 86, 89, 77, 53, + 67, 78, 61, 63, 72, 82, 69, 66, 59, 46, 55, 70, 56, 64, 45, 50, 65, 64, 42, 56, + 78, 49, 51, 52, 38, 56, 72, 55, 73, 72, 61, 50, 63, 60, 47, 57, 55, 73, 53, 68, + 85, 88, 91, 96, 82, 89, 73, 76, 87, 86, 67, 69, 96, 84, 57, 89, 87, 89, 99, 88, + 104, 90, 85, 75, 88, 92, 85, 75, 74, 87, 103, 94, 55, 48, 56, 65, 72, 50, 45, 51, + 63, 62, 47, 57, 79, 53, 36, 63, 54, 68, 71, 59, 63, 61, 63, 41, 50, 73, 57, 59, + 56, 76, 73, 65, 61, 64, 61, 79, 53, 73, 57, 44, 61, 59, 59, 56, 81, 59, 49, 62, + 65, 55, 69, 72, 79, 70, 58, 57, 68, 61, 62, 50, 57, 60, 66, 66, 63, 77, 81, 89, + 85, 81, 76, 73, 78, 95, 59, 70, 81, 77, 46, 79, 78, 79, 83, 81, 84, 82, 85, 48, + 74, 85, 85, 74, 74, 80, 80, 74, 60, 76, 80, 97, 88, 93, 66, 66, 73, 84, 56, 70, + 90, 63, 58, 78, 73, 93, 90, 78, 94, 88, 82, 67, 85, 70, 81, 86, 74, 82, 88, 82, + 68, 73, 75, 91, 78, 97, 71, 66, 74, 85, 50, 59, 86, 77, 70, 74, 75, 74, 99, 82, + 99, 91, 86, 65, 80, 77, 72, 69, 60, 78, 90, 87, 79, 69, 74, 98, 70, 86, 81, 67, + 69, 78, 48, 65, 88, 70, 70, 70, 69, 72, 96, 90, 99, 82, 81, 76, 98, 73, 74, 71, + 69, 73, 94, 89 +}; + diff --git a/mt/bj_matmul/matmul_gendata.pl b/mt/bj_matmul/matmul_gendata.pl new file mode 100755 index 0000000..f21bb46 --- /dev/null +++ b/mt/bj_matmul/matmul_gendata.pl @@ -0,0 +1,200 @@ +#!/usr/bin/perl -w +#========================================================================== +# matmul_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the matmul benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: matmul_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[ARRAY_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3d",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + + + +#-------------------------------------------------------------------------- +# Matmul +#-------------------------------------------------------------------------- + +# http://answers.oreilly.com/topic/418-how-to-multiply-matrices-in-perl/ + +sub mmult { + my ($m1,$m2) = @_; + my ($m1rows,$m1cols) = matdim($m1); + my ($m2rows,$m2cols) = matdim($m2); + + my $result = [ ]; + my ($i, $j, $k); + + for $i (range($m1rows)) { + for $j (range($m2cols)) { + for $k (range($m1cols)) { + $result->[$i][$j] += $m1->[$i][$k] * $m2->[$k][$j]; + } + } + } + return $result; +} + +sub range { 0 .. ($_[0] - 1) } + + +sub veclen { + my $ary_ref = $_[0]; + my $type = ref $ary_ref; + if ($type ne "ARRAY") { die "$type is bad array ref for $ary_ref" } + return scalar(@$ary_ref); +} + +sub matdim { + my $matrix = $_[0]; + my $rows = veclen($matrix); + my $cols = veclen($matrix->[0]); + return ($rows, $cols); +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + # create random input arrays + my $mat_values1; + my $mat_values2; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + $mat_values1->[$i][$j] = int(rand(4)); + $mat_values2->[$i][$j] = int(rand(4)); + } + } + + # perform matmul + my $mat_results = mmult( $mat_values1, $mat_values2 ); + + # translate 2d arrays to 1d-somethings (I don't know how to code in perl - Chris) + my @values1; + my @values2; + my @results; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + my $value1 = $mat_values1->[$i][$j]; + my $value2 = $mat_values2->[$i][$j]; + my $result = $mat_results->[$i][$j]; + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @results, $result ); + } + } + + print "\n\#define ARRAY_SIZE ".($opts{"size"}*$opts{"size"})." \n\n"; + print "\n\#define DIM_SIZE ".$opts{"size"}." \n\n"; + + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@results); + +} + +main(); + diff --git a/mt/bj_matmul/matmul_mi.c b/mt/bj_matmul/matmul_mi.c new file mode 100644 index 0000000..5766e91 --- /dev/null +++ b/mt/bj_matmul/matmul_mi.c @@ -0,0 +1,248 @@ +//**************************************************************************
+// Multi-threaded Matrix Multiply benchmark
+//--------------------------------------------------------------------------
+// TA : Christopher Celio
+// Student:
+//
+//
+// This benchmark multiplies two 2-D arrays together and writes the results to
+// a third vector. The input data (and reference data) should be generated
+// using the matmul_gendata.pl perl script and dumped to a file named
+// dataset.h.
+
+
+// print out arrays, etc.
+//#define DEBUG
+
+//--------------------------------------------------------------------------
+// Includes
+
+#include <string.h>
+#include <stdlib.h>
+#include <stdio.h>
+
+
+//--------------------------------------------------------------------------
+// Input/Reference Data
+
+typedef float data_t;
+#include "dataset.h"
+
+
+//--------------------------------------------------------------------------
+// Basic Utilities and Multi-thread Support
+
+__thread unsigned long coreid;
+unsigned long ncores;
+
+#include "util.h"
+
+#define stringify_1(s) #s
+#define stringify(s) stringify_1(s)
+#define stats(code) do { \
+unsigned long _c = -rdcycle(), _i = -rdinstret(); \
+code; \
+_c += rdcycle(), _i += rdinstret(); \
+if (coreid == 0) \
+printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \
+stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \
+} while(0)
+
+
+//--------------------------------------------------------------------------
+// Helper functions
+
+void printArray( char name[], int n, data_t arr[] )
+{
+ int i;
+ if (coreid != 0)
+ return;
+
+ printf( " %10s :", name );
+ for ( i = 0; i < n; i++ )
+ printf( " %3ld ", (long) arr[i] );
+ printf( "\n" );
+}
+
+void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct)
+{
+ if (coreid != 0)
+ return;
+
+ size_t i;
+ for (i = 0; i < n; i++)
+ {
+ if (test[i] != correct[i])
+ {
+ printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n",
+ i, (long)test[i], i, (long)correct[i]);
+ exit(-1);
+ }
+ }
+
+ return;
+}
+
+//--------------------------------------------------------------------------
+// matmul function
+
+// single-thread, naive version
+void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] )
+{
+
+ int i, j, k;
+
+ if (coreid > 0)
+ return;
+
+ for ( i = 0; i < lda; i++ )
+ for ( j = 0; j < lda; j++ )
+ {
+ for ( k = 0; k < lda; k++ )
+ {
+ C[i + j*lda] += A[j*lda + k] * B[k*lda + i];
+ }
+ }
+
+}
+
+
+
+void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] )
+{
+
+ // ***************************** //
+ // **** ADD YOUR CODE HERE ***** //
+ // ***************************** //
+ //
+ // feel free to make a separate function for MI and MSI versions.
+
+ int m, i, j, k, iB0, iB1;
+ data_t tempC0, tempC1, tempC2, tempC3, tempC4, tempC5, tempC6, tempC7;
+ data_t tempA0, tempA1;
+
+ if (coreid == 0){
+ for (m = 0; m < 2; m++){
+ for (j = 0; j < lda/2; j++){
+ for (i = 0; i < lda; i+=8){
+ tempC0 = C[i + j*lda];
+ tempC1 = C[i + j*lda+1];
+ tempC2 = C[i + j*lda+2];
+ tempC3 = C[i + j*lda+3];
+ tempC4 = C[i + j*lda+4];
+ tempC5 = C[i + j*lda+5];
+ tempC6 = C[i + j*lda+6];
+ tempC7 = C[i + j*lda+7];
+ iB0 = m*lda*lda/2+i;
+ iB1 = iB0+lda;
+ for (k = m*lda/2; k < (m+1)*lda/2; k+=2){
+ tempA0 = A[j*lda+k];
+ tempA1 = A[j*lda+k+1];
+ tempC0 += tempA0*B[iB0]+tempA1*B[iB1];
+ tempC1 += tempA0*B[iB0+1]+tempA1*B[iB1+1];
+ tempC2 += tempA0*B[iB0+2]+tempA1*B[iB1+2];
+ tempC3 += tempA0*B[iB0+3]+tempA1*B[iB1+3];
+ tempC4 += tempA0*B[iB0+4]+tempA1*B[iB1+4];
+ tempC5 += tempA0*B[iB0+5]+tempA1*B[iB1+5];
+ tempC6 += tempA0*B[iB0+6]+tempA1*B[iB1+6];
+ tempC7 += tempA0*B[iB0+7]+tempA1*B[iB1+7];
+ iB0 += 2*lda;
+ iB1 += 2*lda;
+
+ }
+ C[i + j*lda] = tempC0;
+ C[i + j*lda + 1] = tempC1;
+ C[i + j*lda + 2] = tempC2;
+ C[i + j*lda + 3] = tempC3;
+ C[i + j*lda + 4] = tempC4;
+ C[i + j*lda + 5] = tempC5;
+ C[i + j*lda + 6] = tempC6;
+ C[i + j*lda + 7] = tempC7;
+ }
+ }
+ }
+ } else {
+ for (m = 2; m > 0; m--){
+ for (j = lda-1; j >= lda/2; j--){
+ for (i = lda-1; i >= 0; i-=8){
+ tempC0 = C[i + j*lda];
+ tempC1 = C[i + j*lda - 1];
+ tempC2 = C[i + j*lda - 2];
+ tempC3 = C[i + j*lda - 3];
+ tempC4 = C[i + j*lda - 4];
+ tempC5 = C[i + j*lda - 5];
+ tempC6 = C[i + j*lda - 6];
+ tempC7 = C[i + j*lda - 7];
+ for (k = m*lda/2-1; k >= (m-1)*lda/2; k-=2){
+ tempA0 = A[j*lda+k];
+ tempA1 = A[j*lda+k-1];
+ tempC0 += tempA0*B[k*lda+i]+tempA1*B[(k-1)*lda+i];
+ tempC1 += tempA0*B[k*lda+i-1]+tempA1*B[(k-1)*lda+i-1];
+ tempC2 += tempA0*B[k*lda+i-2]+tempA1*B[(k-1)*lda+i-2];
+ tempC3 += tempA0*B[k*lda+i-3]+tempA1*B[(k-1)*lda+i-3];
+ tempC4 += tempA0*B[k*lda+i-4]+tempA1*B[(k-1)*lda+i-4];
+ tempC5 += tempA0*B[k*lda+i-5]+tempA1*B[(k-1)*lda+i-5];
+ tempC6 += tempA0*B[k*lda+i-6]+tempA1*B[(k-1)*lda+i-6];
+ tempC7 += tempA0*B[k*lda+i-7]+tempA1*B[(k-1)*lda+i-7];
+ }
+ C[i + j*lda] = tempC0;
+ C[i + j*lda - 1] = tempC1;
+ C[i + j*lda - 2] = tempC2;
+ C[i + j*lda - 3] = tempC3;
+ C[i + j*lda - 4] = tempC4;
+ C[i + j*lda - 5] = tempC5;
+ C[i + j*lda - 6] = tempC6;
+ C[i + j*lda - 7] = tempC7;
+ }
+ }
+ }
+ }
+}
+
+//--------------------------------------------------------------------------
+// Main
+//
+// all threads start executing thread_entry(). Use their "coreid" to
+// differentiate between threads (each thread is running on a separate core).
+
+void thread_entry(int cid, int nc)
+{
+ coreid = cid;
+ ncores = nc;
+
+ // static allocates data in the binary, which is visible to both threads
+ static data_t results_data[ARRAY_SIZE];
+
+
+// // Execute the provided, naive matmul
+// barrier();
+// stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier());
+//
+//
+// // verify
+// verify(ARRAY_SIZE, results_data, verify_data);
+//
+// // clear results from the first trial
+// size_t i;
+// if (coreid == 0)
+// for (i=0; i < ARRAY_SIZE; i++)
+// results_data[i] = 0;
+// barrier();
+
+
+ // Execute your faster matmul
+ barrier();
+ stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier());
+
+#ifdef DEBUG
+ printArray("results:", ARRAY_SIZE, results_data);
+ printArray("verify :", ARRAY_SIZE, verify_data);
+#endif
+
+ // verify
+ verify(ARRAY_SIZE, results_data, verify_data);
+ barrier();
+
+ exit(0);
+}
+
diff --git a/mt/bj_vvadd/bj_vvadd.c b/mt/bj_vvadd/bj_vvadd.c new file mode 100755 index 0000000..3e2ed6e --- /dev/null +++ b/mt/bj_vvadd/bj_vvadd.c @@ -0,0 +1,169 @@ +//************************************************************************** +// Vector-vector add benchmark +//-------------------------------------------------------------------------- +// Author : Andrew Waterman +// TA : Christopher Celio +// Student : +// +// This benchmark adds two vectors and writes the results to a +// third vector. The input data (and reference data) should be +// generated using the vvadd_gendata.pl perl script and dumped +// to a file named dataset.h + +// to print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DATA_SIZE, 10*_c/DATA_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %4ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %4ld, correct[%d]= %4ld\n", + i, (long) test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// vvadd function + +//perform in-place vvadd +void __attribute__((noinline)) vvadd(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + size_t i; + + // interleave accesses + for (i = coreid; i < n; i+=ncores) + { + x[i] = x[i] + y[i]; + } +} + +void __attribute__((noinline)) vvadd_opt(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + size_t i; + for (i = coreid*n/ncores; i < (coreid+1)*n/ncores; i++){ + x[i] = x[i] + y[i]; + } +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[DATA_SIZE]; + + // because we're going to perform an in-place vvadd (and we're going to run + // it a couple of times) let's copy the input data to a temporary results + // array + + size_t i; + if (coreid == 0) + { + for (i = 0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + + + // Execute the provided, terrible vvadd + barrier(); + stats(vvadd(DATA_SIZE, results_data, input2_data); barrier()); + + + // verify + verify(DATA_SIZE, results_data, verify_data); + + // reset results from the first trial + if (coreid == 0) + { + for (i=0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + barrier(); + + + // Execute your faster vvadd + barrier(); + stats(vvadd_opt(DATA_SIZE, results_data, input2_data); barrier()); + +#ifdef DEBUG + printArray("results: ", DATA_SIZE, results_data); + printArray("verify : ", DATA_SIZE, verify_data); +#endif + + // verify + verify(DATA_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/bj_vvadd/dataset.h b/mt/bj_vvadd/dataset.h new file mode 100755 index 0000000..ce9f936 --- /dev/null +++ b/mt/bj_vvadd/dataset.h @@ -0,0 +1,165 @@ + +#define DATA_SIZE 1000 + +static data_t input1_data[DATA_SIZE] = +{ + 0.00, 15.00, 10.00, 3.00, 14.00, 6.00, 2.00, 18.00, 11.00, 15.00, 11.00, 0.00, 17.00, 16.00, 7.00, 13.00, 18.00, 2.00, 2.00, 5.00, + 8.00, 5.00, 12.00, 14.00, 6.00, 12.00, 16.00, 7.00, 9.00, 17.00, 10.00, 10.00, 3.00, 5.00, 14.00, 11.00, 9.00, 12.00, 3.00, 1.00, + 5.00, 4.00, 6.00, 17.00, 17.00, 4.00, 17.00, 15.00, 17.00, 18.00, 3.00, 18.00, 10.00, 6.00, 12.00, 12.00, 3.00, 2.00, 16.00, 1.00, + 5.00, 6.00, 2.00, 17.00, 16.00, 5.00, 10.00, 18.00, 14.00, 4.00, 9.00, 9.00, 7.00, 4.00, 8.00, 13.00, 12.00, 6.00, 4.00, 17.00, + 5.00, 2.00, 11.00, 11.00, 7.00, 6.00, 8.00, 5.00, 6.00, 6.00, 11.00, 1.00, 18.00, 7.00, 6.00, 9.00, 10.00, 17.00, 14.00, 4.00, + 14.00, 11.00, 2.00, 0.00, 2.00, 17.00, 17.00, 15.00, 10.00, 8.00, 12.00, 18.00, 5.00, 0.00, 0.00, 1.00, 1.00, 8.00, 11.00, 11.00, + 7.00, 5.00, 15.00, 18.00, 15.00, 6.00, 8.00, 9.00, 18.00, 6.00, 15.00, 16.00, 10.00, 18.00, 13.00, 6.00, 10.00, 16.00, 0.00, 10.00, + 12.00, 8.00, 8.00, 3.00, 0.00, 1.00, 4.00, 0.00, 8.00, 15.00, 16.00, 9.00, 7.00, 7.00, 10.00, 9.00, 16.00, 12.00, 5.00, 5.00, + 9.00, 5.00, 17.00, 4.00, 13.00, 13.00, 4.00, 14.00, 10.00, 5.00, 10.00, 10.00, 6.00, 18.00, 5.00, 15.00, 5.00, 15.00, 13.00, 18.00, + 6.00, 13.00, 5.00, 18.00, 12.00, 14.00, 1.00, 7.00, 2.00, 1.00, 7.00, 12.00, 15.00, 15.00, 6.00, 2.00, 1.00, 2.00, 18.00, 6.00, + 10.00, 14.00, 9.00, 15.00, 11.00, 0.00, 3.00, 1.00, 2.00, 2.00, 14.00, 7.00, 18.00, 0.00, 2.00, 2.00, 16.00, 8.00, 4.00, 5.00, + 7.00, 11.00, 7.00, 10.00, 14.00, 10.00, 3.00, 0.00, 13.00, 9.00, 14.00, 0.00, 14.00, 1.00, 3.00, 16.00, 2.00, 14.00, 6.00, 17.00, + 17.00, 6.00, 9.00, 8.00, 9.00, 12.00, 5.00, 14.00, 2.00, 16.00, 17.00, 5.00, 4.00, 0.00, 14.00, 10.00, 6.00, 15.00, 15.00, 14.00, + 5.00, 1.00, 8.00, 8.00, 13.00, 8.00, 0.00, 4.00, 7.00, 9.00, 13.00, 16.00, 9.00, 14.00, 9.00, 13.00, 0.00, 7.00, 16.00, 17.00, + 18.00, 10.00, 13.00, 8.00, 4.00, 9.00, 13.00, 0.00, 6.00, 4.00, 6.00, 4.00, 10.00, 14.00, 14.00, 9.00, 15.00, 15.00, 3.00, 3.00, + 12.00, 0.00, 3.00, 2.00, 16.00, 1.00, 7.00, 2.00, 16.00, 2.00, 2.00, 0.00, 14.00, 3.00, 3.00, 10.00, 4.00, 10.00, 3.00, 4.00, + 13.00, 14.00, 13.00, 0.00, 1.00, 15.00, 16.00, 9.00, 7.00, 9.00, 0.00, 11.00, 1.00, 1.00, 15.00, 17.00, 12.00, 16.00, 15.00, 4.00, + 8.00, 2.00, 10.00, 10.00, 0.00, 18.00, 17.00, 7.00, 7.00, 2.00, 10.00, 17.00, 9.00, 7.00, 5.00, 3.00, 8.00, 11.00, 6.00, 9.00, + 13.00, 0.00, 3.00, 5.00, 2.00, 5.00, 7.00, 4.00, 9.00, 2.00, 13.00, 17.00, 14.00, 12.00, 1.00, 3.00, 7.00, 17.00, 0.00, 14.00, + 16.00, 2.00, 2.00, 1.00, 2.00, 15.00, 16.00, 8.00, 2.00, 4.00, 15.00, 15.00, 10.00, 6.00, 11.00, 9.00, 15.00, 17.00, 3.00, 8.00, + 15.00, 3.00, 10.00, 15.00, 8.00, 14.00, 16.00, 15.00, 15.00, 14.00, 1.00, 7.00, 4.00, 18.00, 2.00, 13.00, 11.00, 15.00, 7.00, 10.00, + 13.00, 10.00, 7.00, 14.00, 18.00, 4.00, 18.00, 4.00, 3.00, 9.00, 1.00, 13.00, 15.00, 2.00, 5.00, 15.00, 12.00, 10.00, 2.00, 0.00, + 10.00, 15.00, 0.00, 11.00, 14.00, 11.00, 14.00, 9.00, 1.00, 18.00, 14.00, 18.00, 15.00, 5.00, 1.00, 15.00, 18.00, 14.00, 3.00, 15.00, + 11.00, 2.00, 15.00, 0.00, 13.00, 1.00, 4.00, 14.00, 14.00, 5.00, 2.00, 13.00, 17.00, 8.00, 7.00, 6.00, 5.00, 10.00, 14.00, 14.00, + 17.00, 0.00, 0.00, 17.00, 18.00, 15.00, 10.00, 16.00, 18.00, 5.00, 9.00, 10.00, 18.00, 7.00, 11.00, 5.00, 4.00, 16.00, 2.00, 8.00, + 13.00, 1.00, 12.00, 3.00, 4.00, 6.00, 15.00, 12.00, 0.00, 6.00, 18.00, 12.00, 14.00, 18.00, 3.00, 2.00, 3.00, 5.00, 3.00, 14.00, + 18.00, 12.00, 10.00, 11.00, 8.00, 4.00, 10.00, 10.00, 9.00, 18.00, 14.00, 3.00, 7.00, 17.00, 12.00, 0.00, 10.00, 9.00, 17.00, 3.00, + 0.00, 4.00, 6.00, 16.00, 14.00, 12.00, 13.00, 13.00, 18.00, 7.00, 0.00, 1.00, 9.00, 7.00, 12.00, 6.00, 18.00, 8.00, 9.00, 13.00, + 13.00, 17.00, 10.00, 16.00, 1.00, 10.00, 17.00, 16.00, 2.00, 18.00, 4.00, 2.00, 6.00, 1.00, 1.00, 1.00, 8.00, 14.00, 6.00, 6.00, + 13.00, 14.00, 13.00, 6.00, 5.00, 10.00, 11.00, 11.00, 16.00, 1.00, 5.00, 9.00, 13.00, 8.00, 10.00, 2.00, 12.00, 15.00, 5.00, 14.00, + 3.00, 7.00, 9.00, 18.00, 2.00, 11.00, 16.00, 4.00, 5.00, 10.00, 17.00, 10.00, 3.00, 4.00, 14.00, 18.00, 13.00, 6.00, 8.00, 11.00, + 14.00, 3.00, 5.00, 6.00, 6.00, 5.00, 13.00, 0.00, 9.00, 9.00, 1.00, 7.00, 5.00, 5.00, 1.00, 6.00, 18.00, 11.00, 17.00, 7.00, + 1.00, 10.00, 5.00, 12.00, 6.00, 16.00, 16.00, 5.00, 1.00, 10.00, 10.00, 15.00, 7.00, 18.00, 8.00, 17.00, 3.00, 5.00, 3.00, 14.00, + 0.00, 16.00, 12.00, 0.00, 14.00, 17.00, 16.00, 2.00, 18.00, 13.00, 10.00, 13.00, 4.00, 14.00, 2.00, 3.00, 4.00, 8.00, 17.00, 0.00, + 6.00, 11.00, 5.00, 3.00, 3.00, 2.00, 15.00, 13.00, 10.00, 4.00, 1.00, 11.00, 6.00, 17.00, 1.00, 0.00, 18.00, 3.00, 3.00, 11.00, + 7.00, 7.00, 11.00, 14.00, 7.00, 16.00, 11.00, 10.00, 8.00, 6.00, 11.00, 5.00, 17.00, 10.00, 7.00, 8.00, 14.00, 2.00, 9.00, 17.00, + 15.00, 13.00, 10.00, 6.00, 0.00, 15.00, 11.00, 10.00, 11.00, 18.00, 2.00, 5.00, 17.00, 18.00, 11.00, 15.00, 3.00, 17.00, 9.00, 17.00, + 8.00, 6.00, 2.00, 4.00, 2.00, 11.00, 15.00, 2.00, 18.00, 3.00, 9.00, 7.00, 15.00, 9.00, 14.00, 10.00, 9.00, 6.00, 13.00, 8.00, + 15.00, 14.00, 0.00, 11.00, 5.00, 2.00, 12.00, 14.00, 10.00, 16.00, 9.00, 7.00, 9.00, 17.00, 4.00, 4.00, 7.00, 8.00, 4.00, 4.00, + 9.00, 7.00, 3.00, 5.00, 11.00, 11.00, 10.00, 13.00, 3.00, 14.00, 15.00, 8.00, 1.00, 1.00, 3.00, 0.00, 16.00, 9.00, 6.00, 1.00, + 0.00, 2.00, 0.00, 6.00, 13.00, 12.00, 5.00, 18.00, 1.00, 11.00, 17.00, 11.00, 16.00, 14.00, 14.00, 9.00, 11.00, 9.00, 17.00, 15.00, + 5.00, 18.00, 2.00, 11.00, 10.00, 16.00, 18.00, 5.00, 11.00, 12.00, 11.00, 18.00, 7.00, 6.00, 8.00, 3.00, 4.00, 3.00, 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vvadd_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the vvadd benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: vvadd_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[DATA_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3.2f",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + my @values1; + my @values2; + my @sum; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + my $value1 = int(rand(19)); + my $value2 = int(rand(19)); + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @sum, $value1 + $value2 ); + } + + + print "\n\#define DATA_SIZE ".$opts{"size"}." \n\n"; + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@sum ); + +} + +main(); + diff --git a/mt/bk_matmul/bk_matmul.c b/mt/bk_matmul/bk_matmul.c new file mode 100755 index 0000000..eddbcfb --- /dev/null +++ b/mt/bk_matmul/bk_matmul.c @@ -0,0 +1,326 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ +///* + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } +//*/ + /* + int i, j, k, kk; + if (coreid) { + for ( i = 0; i < 16; i+=8 ) + { + for ( j = 0; j < 32; j++ ) + { + data_t temp0 = 0; + data_t temp1 = 0; + data_t temp2 = 0; + data_t temp3 = 0; + data_t temp4 = 0; + data_t temp5 = 0; + data_t temp6 = 0; + data_t temp7 = 0; + for ( kk = 0; kk < 32; kk+=8 ) + for ( k = kk; k < kk+8; k++ ) +// for ( k = 0; k < 32; k++ ) + { + data_t tempA = A[j*32+k]; + temp0 += tempA * B[k*32 + i]; + temp1 += tempA * B[k*32 + i+1]; + temp2 += tempA * B[k*32 + i+2]; + temp3 += tempA * B[k*32 + i+3]; + temp4 += tempA * B[k*32 + i+4]; + temp5 += tempA * B[k*32 + i+5]; + temp6 += tempA * B[k*32 + i+6]; + temp7 += tempA * B[k*32 + i+7]; + } + C[i+j*32] = temp0; + C[i+j*32+1] = temp1; + C[i+j*32+2] = temp2; + C[i+j*32+3] = temp3; + C[i+j*32+4] = temp4; + C[i+j*32+5] = temp5; + C[i+j*32+6] = temp6; + C[i+j*32+7] = temp7; + } + } + } else { + for ( i = 16; i < 32; i+=8 ) + { + for ( j = 0; j < 32; j++ ) + { + data_t temp0 = 0; + data_t temp1 = 0; + data_t temp2 = 0; + data_t temp3 = 0; + data_t temp4 = 0; + data_t temp5 = 0; + data_t temp6 = 0; + data_t temp7 = 0; + for ( kk = 0; kk < 32; kk+=8 ) + for ( k = kk; k < kk+8; k++ ) + { + data_t tempA = A[j*32+k]; + temp0 += tempA * B[k*32 + i]; + temp1 += tempA * B[k*32 + i+1]; + temp2 += tempA * B[k*32 + i+2]; + temp3 += tempA * B[k*32 + i+3]; + temp4 += tempA * B[k*32 + i+4]; + temp5 += tempA * B[k*32 + i+5]; + temp6 += tempA * B[k*32 + i+6]; + temp7 += tempA * B[k*32 + i+7]; + } + C[i+j*32] = temp0; + C[i+j*32+1] = temp1; + C[i+j*32+2] = temp2; + C[i+j*32+3] = temp3; + C[i+j*32+4] = temp4; + C[i+j*32+5] = temp5; + C[i+j*32+6] = temp6; + C[i+j*32+7] = temp7; + } + + } + } + */ +} + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + int i, j, k, ii, jj, kk; + if (coreid) { +// for ( ii = 0; ii < 32; ii+=IC ) + for ( kk = 0; kk < 32; kk+=16 ) + for ( j = 0; j < 16; j++ ) +// for ( j = 0; j < 16; j++ ) + { + for ( i = 0; i < 32; i+=8 ) +// for ( i = ii; i < ii + IC && i < 32; i+=8 ) + { + data_t temp0 = C[i+j*32]; + data_t temp1 = C[i+j*32+1]; + data_t temp2 = C[i+j*32+2]; + data_t temp3 = C[i+j*32+3]; + data_t temp4 = C[i+j*32+4]; + data_t temp5 = C[i+j*32+5]; + data_t temp6 = C[i+j*32+6]; + data_t temp7 = C[i+j*32+7]; + for ( k = kk; k < kk+16 && k < 32; k++ ) +// for ( k = 0; k < 32; k++ ) + { + data_t tempA = A[j*32+k]; + temp0 += tempA * B[k*32 + i]; + temp1 += tempA * B[k*32 + i+1]; + temp2 += tempA * B[k*32 + i+2]; + temp3 += tempA * B[k*32 + i+3]; + temp4 += tempA * B[k*32 + i+4]; + temp5 += tempA * B[k*32 + i+5]; + temp6 += tempA * B[k*32 + i+6]; + temp7 += tempA * B[k*32 + i+7]; + } + C[i+j*32] = temp0; + C[i+j*32+1] = temp1; + C[i+j*32+2] = temp2; + C[i+j*32+3] = temp3; + C[i+j*32+4] = temp4; + C[i+j*32+5] = temp5; + C[i+j*32+6] = temp6; + C[i+j*32+7] = temp7; + } + } + } else { +// for ( ii = 0; ii < 32; ii+=IC ) + for ( kk = 0; kk < 32; kk+=16 ) + for ( j = 16; j < 32; j++ ) +// for ( j = 16; j < 32; j++ ) + { + for ( i = 0; i < 32; i+=8 ) +// for ( i = ii; i < ii + IC && i < 32; i+=8 ) + { + data_t temp0 = C[i+j*32]; + data_t temp1 = C[i+j*32+1]; + data_t temp2 = C[i+j*32+2]; + data_t temp3 = C[i+j*32+3]; + data_t temp4 = C[i+j*32+4]; + data_t temp5 = C[i+j*32+5]; + data_t temp6 = C[i+j*32+6]; + data_t temp7 = C[i+j*32+7]; + for ( k = kk; k < kk+16 && k < 32; k++ ) + { + data_t tempA = A[j*32+k]; + temp0 += tempA * B[k*32 + i]; + temp1 += tempA * B[k*32 + i+1]; + temp2 += tempA * B[k*32 + i+2]; + temp3 += tempA * B[k*32 + i+3]; + temp4 += tempA * B[k*32 + i+4]; + temp5 += tempA * B[k*32 + i+5]; + temp6 += tempA * B[k*32 + i+6]; + temp7 += tempA * B[k*32 + i+7]; + } + C[i+j*32] = temp0; + C[i+j*32+1] = temp1; + C[i+j*32+2] = temp2; + C[i+j*32+3] = temp3; + C[i+j*32+4] = temp4; + C[i+j*32+5] = temp5; + C[i+j*32+6] = temp6; + C[i+j*32+7] = temp7; + } + + } + } +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + +// // Execute the provided, naive matmul +// barrier(); +// stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); +// +// +// // verify +// verify(ARRAY_SIZE, results_data, verify_data); +// +// // clear results from the first trial +// size_t i; +// if (coreid == 0) +// for (i=0; i < ARRAY_SIZE; i++) +// results_data[i] = 0; +// barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/bk_matmul/dataset.h b/mt/bk_matmul/dataset.h new file mode 100755 index 0000000..dde3ee4 --- /dev/null +++ b/mt/bk_matmul/dataset.h @@ -0,0 +1,174 @@ + +#define ARRAY_SIZE 1024 + + +#define DIM_SIZE 32 + +static data_t input1_data[ARRAY_SIZE] = +{ + 0, 3, 2, 0, 3, 1, 0, 3, 2, 3, 2, 0, 3, 3, 1, 2, 3, 0, 0, 1, + 1, 1, 2, 3, 1, 2, 3, 1, 1, 3, 2, 2, 0, 1, 3, 2, 2, 2, 0, 0, + 1, 0, 1, 3, 3, 0, 3, 3, 3, 3, 0, 3, 2, 1, 2, 2, 0, 0, 3, 0, + 1, 1, 0, 3, 3, 1, 2, 3, 3, 0, 1, 2, 1, 0, 1, 2, 2, 1, 0, 3, + 1, 0, 2, 2, 1, 1, 1, 1, 1, 1, 2, 0, 3, 1, 1, 2, 2, 3, 3, 1, + 3, 2, 0, 0, 0, 3, 3, 3, 2, 1, 2, 3, 1, 0, 0, 0, 0, 1, 2, 2, + 1, 1, 3, 3, 3, 1, 1, 2, 3, 1, 3, 3, 2, 3, 2, 1, 2, 3, 0, 2, + 2, 1, 1, 0, 0, 0, 0, 0, 1, 3, 3, 1, 1, 1, 2, 2, 3, 2, 1, 1, + 1, 1, 3, 0, 2, 2, 1, 3, 2, 1, 2, 2, 1, 3, 1, 3, 1, 3, 2, 3, + 1, 2, 1, 3, 2, 2, 0, 1, 0, 0, 1, 2, 3, 3, 1, 0, 0, 0, 3, 1, + 2, 3, 2, 3, 2, 0, 0, 0, 0, 0, 3, 1, 3, 0, 0, 0, 3, 1, 1, 1, + 1, 2, 1, 2, 3, 2, 0, 0, 2, 2, 3, 0, 3, 0, 0, 3, 0, 3, 1, 3, + 3, 1, 1, 1, 2, 2, 1, 3, 0, 3, 3, 1, 0, 0, 3, 2, 1, 3, 3, 3, + 1, 0, 1, 1, 2, 1, 0, 1, 1, 2, 2, 3, 1, 2, 2, 2, 0, 1, 3, 3, + 3, 2, 2, 1, 0, 1, 2, 0, 1, 1, 1, 1, 2, 3, 2, 2, 3, 3, 0, 0, + 2, 0, 0, 0, 3, 0, 1, 0, 3, 0, 0, 0, 3, 0, 0, 2, 0, 2, 0, 0, + 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 0, 2, 0, 0, 3, 3, 2, 3, 3, 0, + 1, 0, 2, 2, 0, 3, 3, 1, 1, 0, 2, 3, 2, 1, 1, 0, 1, 2, 1, 2, + 2, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 3, 3, 2, 0, 0, 1, 3, 0, 3, + 3, 0, 0, 0, 0, 3, 3, 1, 0, 0, 3, 3, 2, 1, 2, 1, 3, 3, 0, 1, + 3, 0, 2, 3, 1, 3, 3, 3, 3, 3, 0, 1, 1, 3, 0, 2, 2, 3, 1, 2, + 2, 2, 1, 3, 3, 0, 3, 0, 0, 2, 0, 2, 3, 0, 1, 3, 2, 2, 0, 0, + 2, 3, 0, 2, 2, 2, 3, 1, 0, 3, 3, 3, 3, 1, 0, 3, 3, 2, 0, 3, + 2, 0, 3, 0, 2, 0, 0, 2, 2, 1, 0, 2, 3, 1, 1, 1, 1, 2, 3, 3, + 3, 0, 0, 3, 3, 3, 2, 3, 3, 1, 2, 2, 3, 1, 2, 1, 1, 3, 0, 1, + 2, 0, 2, 0, 0, 1, 3, 2, 0, 1, 3, 2, 3, 3, 0, 0, 0, 1, 0, 3, + 3, 2, 2, 2, 1, 1, 2, 2, 1, 3, 2, 0, 1, 3, 2, 0, 2, 1, 3, 0, + 0, 0, 1, 3, 3, 2, 2, 2, 3, 1, 0, 0, 1, 1, 2, 1, 3, 1, 1, 2, + 2, 3, 2, 3, 0, 2, 3, 3, 0, 3, 0, 0, 1, 0, 0, 0, 1, 3, 1, 1, + 2, 3, 2, 1, 1, 2, 2, 2, 3, 0, 1, 1, 2, 1, 2, 0, 2, 3, 1, 3, + 0, 1, 1, 3, 0, 2, 3, 0, 1, 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 2, + 3, 0, 1, 1, 1, 1, 2, 0, 1, 2, 0, 1, 1, 1, 0, 1, 3, 2, 3, 1, + 0, 2, 1, 2, 1, 3, 3, 1, 0, 2, 2, 3, 1, 3, 1, 3, 0, 1, 0, 3, + 0, 3, 2, 0, 3, 3, 3, 0, 3, 2, 2, 2, 1, 3, 0, 0, 1, 1, 3, 0, + 1, 2, 1, 0, 0, 0, 3, 2, 2, 0, 0, 2, 1, 3, 0, 0, 3, 0, 0, 2, + 1, 1, 2, 2, 1, 3, 2, 2, 1, 1, 2, 1, 3, 2, 1, 1, 3, 0, 1, 3, + 3, 2, 2, 1, 0, 3, 2, 2, 2, 3, 0, 1, 3, 3, 2, 3, 0, 3, 2, 3, + 1, 1, 0, 0, 0, 2, 3, 0, 3, 0, 1, 1, 3, 1, 3, 2, 1, 1, 2, 1, + 3, 2, 0, 2, 1, 0, 2, 3, 2, 3, 2, 1, 2, 3, 0, 0, 1, 1, 0, 0, + 2, 1, 0, 1, 2, 2, 2, 2, 0, 3, 3, 1, 0, 0, 0, 0, 3, 1, 1, 0, + 0, 0, 0, 1, 2, 2, 1, 3, 0, 2, 3, 2, 3, 2, 2, 1, 2, 2, 3, 3, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 2, 2, 3, 1, 1, 1, 0, 0, 0, 3, 0, + 1, 0, 3, 1, 1, 3, 0, 1, 2, 2, 0, 0, 3, 3, 3, 3, 2, 1, 0, 0, + 1, 0, 2, 0, 1, 1, 0, 0, 3, 3, 2, 1, 1, 1, 0, 1, 1, 2, 2, 1, + 1, 2, 0, 3, 1, 3, 1, 0, 3, 0, 3, 1, 1, 1, 0, 2, 0, 3, 1, 0, + 1, 0, 2, 0, 2, 3, 3, 3, 1, 2, 3, 2, 2, 0, 1, 1, 0, 3, 3, 1, + 3, 3, 2, 0, 2, 0, 2, 2, 3, 3, 3, 0, 2, 3, 3, 1, 3, 2, 2, 2, + 0, 2, 3, 0, 2, 0, 3, 2, 2, 1, 1, 0, 2, 2, 2, 0, 2, 2, 0, 1, + 3, 2, 1, 3, 2, 2, 0, 3, 3, 1, 2, 2, 0, 0, 3, 2, 1, 2, 2, 1, + 3, 1, 2, 0, 0, 1, 1, 2, 1, 3, 2, 2, 3, 0, 2, 1, 3, 2, 1, 3, + 2, 3, 3, 1, 2, 1, 2, 2, 0, 0, 0, 3, 0, 2, 3, 1, 0, 0, 2, 3, + 3, 2, 2, 1 +}; + +static data_t input2_data[ARRAY_SIZE] = +{ + 1, 1, 0, 3, 1, 2, 0, 0, 0, 0, 0, 2, 1, 2, 3, 0, 0, 3, 3, 2, + 2, 1, 2, 3, 3, 0, 2, 2, 1, 1, 2, 2, 0, 2, 2, 1, 2, 3, 2, 2, + 3, 3, 2, 2, 1, 1, 1, 1, 2, 1, 2, 2, 3, 3, 3, 0, 0, 3, 2, 3, + 2, 3, 1, 2, 1, 1, 2, 2, 0, 1, 0, 3, 2, 1, 1, 1, 2, 0, 1, 2, + 2, 0, 2, 1, 3, 3, 2, 3, 2, 0, 3, 1, 3, 3, 2, 0, 1, 0, 1, 1, + 2, 2, 1, 1, 2, 2, 1, 2, 3, 3, 1, 3, 2, 2, 2, 3, 3, 1, 0, 2, + 1, 0, 0, 0, 1, 1, 2, 0, 3, 2, 3, 3, 0, 2, 3, 1, 0, 0, 2, 1, + 2, 0, 2, 1, 1, 2, 3, 1, 3, 2, 1, 0, 0, 0, 0, 0, 2, 2, 0, 2, + 1, 2, 0, 3, 2, 2, 0, 0, 3, 2, 1, 1, 3, 0, 2, 0, 0, 1, 0, 2, + 3, 3, 1, 3, 3, 0, 0, 2, 2, 0, 0, 0, 1, 0, 0, 1, 3, 0, 2, 1, + 3, 2, 2, 1, 3, 2, 0, 1, 2, 2, 3, 2, 1, 1, 1, 1, 3, 0, 1, 3, + 2, 2, 3, 1, 1, 2, 0, 2, 1, 1, 2, 3, 1, 0, 1, 0, 1, 1, 0, 0, + 2, 0, 3, 0, 3, 0, 3, 2, 2, 3, 3, 2, 1, 0, 2, 2, 1, 1, 0, 3, + 3, 2, 2, 0, 0, 3, 0, 1, 0, 0, 1, 2, 0, 1, 3, 0, 1, 2, 2, 0, + 0, 3, 0, 3, 0, 1, 1, 2, 0, 0, 0, 3, 0, 0, 2, 1, 1, 1, 0, 2, + 1, 3, 1, 2, 0, 3, 0, 3, 1, 3, 0, 0, 2, 2, 2, 2, 3, 3, 2, 1, + 2, 2, 1, 1, 2, 2, 2, 2, 0, 3, 0, 0, 2, 0, 1, 2, 0, 3, 2, 3, + 2, 0, 2, 1, 2, 1, 0, 2, 1, 1, 3, 2, 2, 3, 1, 0, 3, 3, 1, 0, + 3, 2, 2, 0, 0, 3, 0, 0, 2, 0, 3, 2, 3, 1, 1, 0, 0, 2, 3, 0, + 0, 1, 1, 1, 2, 1, 3, 2, 1, 3, 0, 1, 3, 3, 1, 1, 1, 1, 1, 1, + 0, 0, 2, 3, 2, 2, 2, 3, 2, 3, 1, 2, 3, 2, 2, 2, 0, 1, 3, 0, + 1, 1, 0, 1, 0, 1, 1, 3, 3, 1, 2, 2, 3, 2, 0, 2, 2, 0, 1, 3, + 0, 1, 3, 2, 1, 3, 3, 2, 0, 1, 3, 2, 0, 2, 1, 1, 0, 3, 0, 1, + 1, 1, 1, 1, 3, 0, 0, 1, 0, 2, 3, 1, 3, 0, 2, 1, 3, 0, 3, 0, + 3, 2, 2, 0, 0, 2, 1, 3, 3, 2, 3, 2, 2, 1, 2, 2, 3, 0, 3, 2, + 2, 0, 3, 2, 3, 2, 0, 0, 1, 2, 0, 0, 2, 0, 0, 3, 3, 2, 0, 0, + 3, 3, 0, 2, 3, 1, 0, 1, 0, 2, 1, 0, 2, 1, 0, 1, 0, 3, 0, 2, + 2, 3, 0, 0, 2, 1, 0, 1, 0, 0, 0, 2, 2, 3, 2, 0, 3, 3, 2, 1, + 0, 0, 3, 1, 2, 3, 3, 1, 0, 3, 1, 1, 0, 3, 3, 3, 2, 2, 2, 0, + 1, 2, 0, 3, 0, 1, 0, 1, 1, 0, 1, 2, 0, 3, 2, 0, 1, 2, 2, 0, + 2, 0, 0, 1, 0, 3, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 1, 1, 1, 0, + 2, 1, 1, 3, 2, 0, 2, 1, 1, 0, 2, 2, 1, 3, 0, 2, 1, 0, 1, 2, + 0, 1, 3, 2, 3, 2, 1, 0, 2, 0, 2, 2, 3, 1, 1, 3, 2, 3, 2, 2, + 0, 2, 0, 0, 0, 3, 2, 0, 2, 2, 3, 3, 3, 2, 1, 2, 0, 0, 3, 0, + 2, 0, 3, 2, 2, 3, 0, 3, 2, 1, 2, 2, 1, 2, 0, 0, 3, 1, 2, 0, + 2, 3, 2, 2, 1, 1, 1, 3, 3, 3, 3, 3, 1, 3, 0, 1, 3, 2, 2, 1, + 0, 1, 1, 2, 1, 2, 3, 1, 2, 2, 1, 2, 1, 1, 0, 3, 3, 1, 1, 3, + 2, 0, 0, 1, 2, 0, 1, 3, 1, 0, 0, 2, 2, 3, 3, 0, 2, 3, 2, 1, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 3, 3, 3, 1, 3, 0, 3, 1, 1, 2, 2, + 2, 1, 0, 3, 2, 3, 0, 2, 3, 2, 3, 1, 2, 3, 3, 1, 2, 1, 0, 0, + 0, 3, 3, 3, 3, 0, 3, 3, 3, 3, 2, 1, 0, 3, 0, 3, 2, 3, 1, 0, + 0, 1, 3, 1, 0, 2, 2, 3, 1, 0, 2, 1, 1, 3, 1, 1, 3, 1, 2, 1, + 0, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 3, 3, 1, 0, 3, 1, 1, 2, 0, + 0, 0, 2, 3, 3, 2, 2, 3, 0, 2, 3, 1, 3, 3, 0, 2, 1, 2, 2, 2, + 1, 0, 1, 3, 2, 3, 1, 1, 2, 1, 1, 0, 0, 2, 3, 2, 1, 0, 3, 1, + 3, 0, 1, 1, 2, 2, 1, 3, 3, 1, 1, 0, 0, 3, 3, 0, 0, 0, 0, 0, + 3, 1, 3, 0, 0, 0, 3, 3, 2, 1, 3, 0, 1, 3, 1, 1, 1, 0, 1, 0, + 1, 2, 2, 2, 3, 3, 0, 2, 3, 2, 1, 3, 3, 1, 1, 3, 0, 3, 3, 2, + 1, 1, 2, 0, 3, 0, 1, 2, 1, 1, 0, 0, 1, 2, 2, 0, 3, 1, 1, 1, + 3, 3, 3, 1, 0, 3, 3, 2, 2, 2, 1, 2, 0, 1, 1, 3, 0, 3, 1, 0, + 2, 2, 0, 1, 2, 3, 2, 1, 2, 0, 3, 2, 1, 3, 0, 1, 2, 0, 3, 0, + 1, 1, 2, 1 +}; + +static data_t verify_data[ARRAY_SIZE] = +{ + 72, 75, 88, 101, 80, 88, 73, 75, 80, 81, 58, 75, 86, 65, 60, 80, 84, 83, 87, 83, + 108, 93, 85, 76, 72, 98, 79, 86, 80, 96, 91, 85, 72, 64, 70, 83, 68, 92, 51, 54, + 85, 85, 60, 58, 90, 64, 55, 69, 72, 48, 94, 77, 91, 83, 70, 69, 67, 77, 59, 50, + 67, 74, 77, 67, 67, 62, 72, 71, 68, 79, 54, 61, 67, 61, 55, 62, 78, 60, 53, 64, + 67, 69, 99, 68, 88, 60, 66, 63, 70, 62, 65, 50, 53, 66, 70, 72, 75, 78, 85, 95, + 71, 89, 70, 68, 86, 88, 58, 77, 84, 70, 65, 68, 73, 75, 91, 96, 105, 92, 76, 68, + 86, 69, 80, 59, 73, 83, 88, 75, 64, 63, 71, 99, 77, 77, 69, 55, 80, 73, 54, 73, + 87, 78, 60, 69, 65, 78, 86, 89, 95, 92, 63, 69, 89, 61, 80, 65, 70, 77, 89, 77, + 79, 79, 73, 92, 64, 81, 60, 78, 81, 80, 61, 63, 89, 65, 56, 83, 77, 65, 102, 70, + 98, 86, 96, 68, 72, 89, 73, 73, 70, 89, 84, 76, 48, 61, 63, 70, 70, 79, 50, 53, + 64, 63, 43, 51, 59, 62, 43, 63, 55, 77, 79, 74, 75, 74, 64, 44, 65, 69, 72, 66, + 54, 71, 74, 72, 69, 76, 68, 89, 94, 75, 65, 53, 85, 79, 65, 74, 82, 73, 58, 70, + 84, 77, 99, 72, 92, 84, 78, 62, 59, 83, 71, 74, 63, 85, 80, 78, 71, 72, 79, 83, + 73, 82, 60, 85, 76, 82, 60, 70, 82, 68, 54, 85, 84, 70, 86, 74, 100, 88, 98, 68, + 67, 87, 69, 73, 68, 88, 76, 71, 47, 43, 47, 80, 54, 65, 40, 37, 59, 53, 33, 48, + 62, 40, 36, 55, 36, 62, 53, 57, 70, 69, 45, 43, 53, 61, 42, 57, 56, 63, 51, 47, + 59, 75, 64, 89, 83, 75, 59, 75, 91, 92, 58, 64, 83, 74, 58, 60, 76, 66, 97, 69, + 90, 95, 92, 64, 78, 75, 77, 73, 65, 78, 82, 75, 47, 54, 59, 71, 59, 56, 53, 42, + 60, 55, 40, 51, 60, 46, 36, 59, 46, 57, 67, 43, 51, 53, 53, 38, 54, 56, 55, 48, + 41, 46, 63, 63, 80, 77, 89, 102, 89, 98, 74, 86, 98, 93, 63, 76, 98, 77, 48, 101, + 86, 88, 100, 82, 102, 90, 95, 75, 86, 103, 83, 98, 80, 104, 98, 86, 71, 74, 80, 90, + 86, 87, 73, 70, 81, 83, 55, 66, 90, 66, 58, 84, 77, 84, 93, 72, 99, 75, 85, 65, + 70, 89, 71, 82, 64, 79, 82, 80, 67, 73, 86, 101, 78, 97, 66, 64, 84, 80, 55, 64, + 79, 73, 51, 79, 89, 68, 94, 77, 109, 102, 82, 61, 66, 93, 88, 70, 82, 82, 85, 69, + 69, 72, 66, 97, 85, 90, 70, 59, 76, 89, 53, 56, 90, 79, 71, 64, 70, 67, 100, 92, + 106, 89, 83, 78, 73, 80, 70, 72, 65, 70, 92, 88, 57, 76, 55, 85, 66, 80, 61, 63, + 63, 78, 54, 58, 71, 73, 54, 63, 63, 62, 89, 76, 86, 81, 83, 54, 70, 81, 78, 64, + 56, 72, 74, 81, 75, 63, 68, 89, 65, 77, 58, 68, 75, 83, 52, 62, 82, 63, 55, 75, + 51, 70, 95, 66, 83, 77, 86, 61, 64, 77, 48, 70, 66, 82, 72, 75, 79, 71, 72, 89, + 78, 78, 66, 59, 91, 80, 55, 64, 79, 68, 54, 71, 67, 75, 87, 84, 100, 101, 76, 58, + 74, 82, 61, 74, 75, 97, 85, 79, 61, 55, 69, 68, 72, 65, 52, 64, 80, 73, 48, 54, + 71, 66, 42, 61, 66, 63, 92, 64, 85, 77, 73, 54, 74, 73, 76, 66, 62, 79, 85, 70, + 71, 84, 87, 81, 88, 86, 77, 77, 93, 88, 78, 71, 101, 89, 58, 84, 95, 81, 89, 97, + 104, 79, 83, 76, 90, 81, 91, 74, 70, 76, 91, 80, 51, 48, 56, 69, 47, 63, 54, 42, + 63, 63, 42, 52, 66, 56, 39, 59, 61, 52, 59, 63, 62, 68, 57, 35, 67, 58, 56, 52, + 61, 63, 60, 47, 85, 75, 89, 106, 88, 95, 74, 82, 107, 107, 64, 78, 98, 90, 62, 91, + 79, 87, 111, 84, 104, 106, 96, 68, 94, 99, 81, 89, 79, 105, 95, 86, 65, 63, 77, 89, + 66, 88, 56, 73, 82, 92, 41, 62, 85, 66, 50, 81, 57, 71, 77, 78, 86, 89, 77, 53, + 67, 78, 61, 63, 72, 82, 69, 66, 59, 46, 55, 70, 56, 64, 45, 50, 65, 64, 42, 56, + 78, 49, 51, 52, 38, 56, 72, 55, 73, 72, 61, 50, 63, 60, 47, 57, 55, 73, 53, 68, + 85, 88, 91, 96, 82, 89, 73, 76, 87, 86, 67, 69, 96, 84, 57, 89, 87, 89, 99, 88, + 104, 90, 85, 75, 88, 92, 85, 75, 74, 87, 103, 94, 55, 48, 56, 65, 72, 50, 45, 51, + 63, 62, 47, 57, 79, 53, 36, 63, 54, 68, 71, 59, 63, 61, 63, 41, 50, 73, 57, 59, + 56, 76, 73, 65, 61, 64, 61, 79, 53, 73, 57, 44, 61, 59, 59, 56, 81, 59, 49, 62, + 65, 55, 69, 72, 79, 70, 58, 57, 68, 61, 62, 50, 57, 60, 66, 66, 63, 77, 81, 89, + 85, 81, 76, 73, 78, 95, 59, 70, 81, 77, 46, 79, 78, 79, 83, 81, 84, 82, 85, 48, + 74, 85, 85, 74, 74, 80, 80, 74, 60, 76, 80, 97, 88, 93, 66, 66, 73, 84, 56, 70, + 90, 63, 58, 78, 73, 93, 90, 78, 94, 88, 82, 67, 85, 70, 81, 86, 74, 82, 88, 82, + 68, 73, 75, 91, 78, 97, 71, 66, 74, 85, 50, 59, 86, 77, 70, 74, 75, 74, 99, 82, + 99, 91, 86, 65, 80, 77, 72, 69, 60, 78, 90, 87, 79, 69, 74, 98, 70, 86, 81, 67, + 69, 78, 48, 65, 88, 70, 70, 70, 69, 72, 96, 90, 99, 82, 81, 76, 98, 73, 74, 71, + 69, 73, 94, 89 +}; + diff --git a/mt/bk_matmul/matmul_gendata.pl b/mt/bk_matmul/matmul_gendata.pl new file mode 100755 index 0000000..f21bb46 --- /dev/null +++ b/mt/bk_matmul/matmul_gendata.pl @@ -0,0 +1,200 @@ +#!/usr/bin/perl -w +#========================================================================== +# matmul_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the matmul benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: matmul_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[ARRAY_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3d",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + + + +#-------------------------------------------------------------------------- +# Matmul +#-------------------------------------------------------------------------- + +# http://answers.oreilly.com/topic/418-how-to-multiply-matrices-in-perl/ + +sub mmult { + my ($m1,$m2) = @_; + my ($m1rows,$m1cols) = matdim($m1); + my ($m2rows,$m2cols) = matdim($m2); + + my $result = [ ]; + my ($i, $j, $k); + + for $i (range($m1rows)) { + for $j (range($m2cols)) { + for $k (range($m1cols)) { + $result->[$i][$j] += $m1->[$i][$k] * $m2->[$k][$j]; + } + } + } + return $result; +} + +sub range { 0 .. ($_[0] - 1) } + + +sub veclen { + my $ary_ref = $_[0]; + my $type = ref $ary_ref; + if ($type ne "ARRAY") { die "$type is bad array ref for $ary_ref" } + return scalar(@$ary_ref); +} + +sub matdim { + my $matrix = $_[0]; + my $rows = veclen($matrix); + my $cols = veclen($matrix->[0]); + return ($rows, $cols); +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + # create random input arrays + my $mat_values1; + my $mat_values2; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + $mat_values1->[$i][$j] = int(rand(4)); + $mat_values2->[$i][$j] = int(rand(4)); + } + } + + # perform matmul + my $mat_results = mmult( $mat_values1, $mat_values2 ); + + # translate 2d arrays to 1d-somethings (I don't know how to code in perl - Chris) + my @values1; + my @values2; + my @results; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + my $value1 = $mat_values1->[$i][$j]; + my $value2 = $mat_values2->[$i][$j]; + my $result = $mat_results->[$i][$j]; + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @results, $result ); + } + } + + print "\n\#define ARRAY_SIZE ".($opts{"size"}*$opts{"size"})." \n\n"; + print "\n\#define DIM_SIZE ".$opts{"size"}." \n\n"; + + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@results); + +} + +main(); + diff --git a/mt/bk_matmul/matmul_mi.c b/mt/bk_matmul/matmul_mi.c new file mode 100755 index 0000000..b1c0a39 --- /dev/null +++ b/mt/bk_matmul/matmul_mi.c @@ -0,0 +1,370 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ +///* + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } +//*/ + /* + int i, j, k, kk; + if (coreid) { + for ( i = 0; i < 16; i+=8 ) + { + for ( j = 0; j < 32; j++ ) + { + data_t temp0 = 0; + data_t temp1 = 0; + data_t temp2 = 0; + data_t temp3 = 0; + data_t temp4 = 0; + data_t temp5 = 0; + data_t temp6 = 0; + data_t temp7 = 0; + for ( kk = 0; kk < 32; kk+=8 ) + for ( k = kk; k < kk+8; k++ ) +// for ( k = 0; k < 32; k++ ) + { + data_t tempA = A[j*32+k]; + temp0 += tempA * B[k*32 + i]; + temp1 += tempA * B[k*32 + i+1]; + temp2 += tempA * B[k*32 + i+2]; + temp3 += tempA * B[k*32 + i+3]; + temp4 += tempA * B[k*32 + i+4]; + temp5 += tempA * B[k*32 + i+5]; + temp6 += tempA * B[k*32 + i+6]; + temp7 += tempA * B[k*32 + i+7]; + } + C[i+j*32] = temp0; + C[i+j*32+1] = temp1; + C[i+j*32+2] = temp2; + C[i+j*32+3] = temp3; + C[i+j*32+4] = temp4; + C[i+j*32+5] = temp5; + C[i+j*32+6] = temp6; + C[i+j*32+7] = temp7; + } + } + } else { + for ( i = 16; i < 32; i+=8 ) + { + for ( j = 0; j < 32; j++ ) + { + data_t temp0 = 0; + data_t temp1 = 0; + data_t temp2 = 0; + data_t temp3 = 0; + data_t temp4 = 0; + data_t temp5 = 0; + data_t temp6 = 0; + data_t temp7 = 0; + for ( kk = 0; kk < 32; kk+=8 ) + for ( k = kk; k < kk+8; k++ ) + { + data_t tempA = A[j*32+k]; + temp0 += tempA * B[k*32 + i]; + temp1 += tempA * B[k*32 + i+1]; + temp2 += tempA * B[k*32 + i+2]; + temp3 += tempA * B[k*32 + i+3]; + temp4 += tempA * B[k*32 + i+4]; + temp5 += tempA * B[k*32 + i+5]; + temp6 += tempA * B[k*32 + i+6]; + temp7 += tempA * B[k*32 + i+7]; + } + C[i+j*32] = temp0; + C[i+j*32+1] = temp1; + C[i+j*32+2] = temp2; + C[i+j*32+3] = temp3; + C[i+j*32+4] = temp4; + C[i+j*32+5] = temp5; + C[i+j*32+6] = temp6; + C[i+j*32+7] = temp7; + } + + } + } + */ +} + + +#define KC 16 +#define IC 16 +#define JC 16 +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + int i, j, k, ii, jj, kk; + if (coreid) { +// for ( ii = 0; ii < 32; ii+=IC ) + for ( jj = 0; jj < 16; jj+=16 ) + for ( kk = 0; kk < 32; kk+=16 ) + for ( j = jj; j < jj+16 && j < 16; j++ ) +// for ( j = 0; j < 16; j++ ) + { + for ( i = 0; i < 32; i+=8 ) +// for ( i = ii; i < ii + IC && i < 32; i+=8 ) + { + data_t temp0 = C[i+j*32]; + data_t temp1 = C[i+j*32+1]; + data_t temp2 = C[i+j*32+2]; + data_t temp3 = C[i+j*32+3]; + data_t temp4 = C[i+j*32+4]; + data_t temp5 = C[i+j*32+5]; + data_t temp6 = C[i+j*32+6]; + data_t temp7 = C[i+j*32+7]; + for ( k = kk; k < kk+16 && k < 32; k++ ) +// for ( k = 0; k < 32; k++ ) + { + data_t tempA = A[j*32+k]; + temp0 += tempA * B[k*32 + i]; + temp1 += tempA * B[k*32 + i+1]; + temp2 += tempA * B[k*32 + i+2]; + temp3 += tempA * B[k*32 + i+3]; + temp4 += tempA * B[k*32 + i+4]; + temp5 += tempA * B[k*32 + i+5]; + temp6 += tempA * B[k*32 + i+6]; + temp7 += tempA * B[k*32 + i+7]; + } + C[i+j*32] = temp0; + C[i+j*32+1] = temp1; + C[i+j*32+2] = temp2; + C[i+j*32+3] = temp3; + C[i+j*32+4] = temp4; + C[i+j*32+5] = temp5; + C[i+j*32+6] = temp6; + C[i+j*32+7] = temp7; + } + } + } else { +// for ( ii = 0; ii < 32; ii+=IC ) + for ( jj = 16; jj < 32; jj+= 16 ) { + for ( kk = 16; kk < 32; kk+=16 ) + for ( j = jj; j < jj+16 && j < 32; j++ ) +// for ( j = 16; j < 32; j++ ) + { + for ( i = 0; i < 32; i+=8 ) +// for ( i = ii; i < ii + IC && i < 32; i+=8 ) + { + data_t temp0 = C[i+j*32]; + data_t temp1 = C[i+j*32+1]; + data_t temp2 = C[i+j*32+2]; + data_t temp3 = C[i+j*32+3]; + data_t temp4 = C[i+j*32+4]; + data_t temp5 = C[i+j*32+5]; + data_t temp6 = C[i+j*32+6]; + data_t temp7 = C[i+j*32+7]; + for ( k = kk; k < kk+16 && k < 32; k++ ) + { + data_t tempA = A[j*32+k]; + temp0 += tempA * B[k*32 + i]; + temp1 += tempA * B[k*32 + i+1]; + temp2 += tempA * B[k*32 + i+2]; + temp3 += tempA * B[k*32 + i+3]; + temp4 += tempA * B[k*32 + i+4]; + temp5 += tempA * B[k*32 + i+5]; + temp6 += tempA * B[k*32 + i+6]; + temp7 += tempA * B[k*32 + i+7]; + } + C[i+j*32] = temp0; + C[i+j*32+1] = temp1; + C[i+j*32+2] = temp2; + C[i+j*32+3] = temp3; + C[i+j*32+4] = temp4; + C[i+j*32+5] = temp5; + C[i+j*32+6] = temp6; + C[i+j*32+7] = temp7; + } + + } + for ( kk = 0; kk < 16; kk+=16 ) + for ( j = jj; j < jj+16 && j < 32; j++ ) +// for ( j = 16; j < 32; j++ ) + { + for ( i = 0; i < 32; i+=8 ) +// for ( i = ii; i < ii + IC && i < 32; i+=8 ) + { + data_t temp0 = C[i+j*32]; + data_t temp1 = C[i+j*32+1]; + data_t temp2 = C[i+j*32+2]; + data_t temp3 = C[i+j*32+3]; + data_t temp4 = C[i+j*32+4]; + data_t temp5 = C[i+j*32+5]; + data_t temp6 = C[i+j*32+6]; + data_t temp7 = C[i+j*32+7]; + for ( k = kk; k < kk+16 && k < 32; k++ ) + { + data_t tempA = A[j*32+k]; + temp0 += tempA * B[k*32 + i]; + temp1 += tempA * B[k*32 + i+1]; + temp2 += tempA * B[k*32 + i+2]; + temp3 += tempA * B[k*32 + i+3]; + temp4 += tempA * B[k*32 + i+4]; + temp5 += tempA * B[k*32 + i+5]; + temp6 += tempA * B[k*32 + i+6]; + temp7 += tempA * B[k*32 + i+7]; + } + C[i+j*32] = temp0; + C[i+j*32+1] = temp1; + C[i+j*32+2] = temp2; + C[i+j*32+3] = temp3; + C[i+j*32+4] = temp4; + C[i+j*32+5] = temp5; + C[i+j*32+6] = temp6; + C[i+j*32+7] = temp7; + } + + } + } + } +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + +// // Execute the provided, naive matmul +// barrier(); +// stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); +// +// +// // verify +// verify(ARRAY_SIZE, results_data, verify_data); +// +// // clear results from the first trial +// size_t i; +// if (coreid == 0) +// for (i=0; i < ARRAY_SIZE; i++) +// results_data[i] = 0; +// barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/bk_matmul/matmul_msi.c b/mt/bk_matmul/matmul_msi.c new file mode 100755 index 0000000..5890d2f --- /dev/null +++ b/mt/bk_matmul/matmul_msi.c @@ -0,0 +1,326 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ +///* + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } +//*/ + /* + int i, j, k, kk; + if (coreid) { + for ( i = 0; i < 16; i+=8 ) + { + for ( j = 0; j < 32; j++ ) + { + data_t temp0 = 0; + data_t temp1 = 0; + data_t temp2 = 0; + data_t temp3 = 0; + data_t temp4 = 0; + data_t temp5 = 0; + data_t temp6 = 0; + data_t temp7 = 0; + for ( kk = 0; kk < 32; kk+=8 ) + for ( k = kk; k < kk+8; k++ ) +// for ( k = 0; k < 32; k++ ) + { + data_t tempA = A[j*32+k]; + temp0 += tempA * B[k*32 + i]; + temp1 += tempA * B[k*32 + i+1]; + temp2 += tempA * B[k*32 + i+2]; + temp3 += tempA * B[k*32 + i+3]; + temp4 += tempA * B[k*32 + i+4]; + temp5 += tempA * B[k*32 + i+5]; + temp6 += tempA * B[k*32 + i+6]; + temp7 += tempA * B[k*32 + i+7]; + } + C[i+j*32] = temp0; + C[i+j*32+1] = temp1; + C[i+j*32+2] = temp2; + C[i+j*32+3] = temp3; + C[i+j*32+4] = temp4; + C[i+j*32+5] = temp5; + C[i+j*32+6] = temp6; + C[i+j*32+7] = temp7; + } + } + } else { + for ( i = 16; i < 32; i+=8 ) + { + for ( j = 0; j < 32; j++ ) + { + data_t temp0 = 0; + data_t temp1 = 0; + data_t temp2 = 0; + data_t temp3 = 0; + data_t temp4 = 0; + data_t temp5 = 0; + data_t temp6 = 0; + data_t temp7 = 0; + for ( kk = 0; kk < 32; kk+=8 ) + for ( k = kk; k < kk+8; k++ ) + { + data_t tempA = A[j*32+k]; + temp0 += tempA * B[k*32 + i]; + temp1 += tempA * B[k*32 + i+1]; + temp2 += tempA * B[k*32 + i+2]; + temp3 += tempA * B[k*32 + i+3]; + temp4 += tempA * B[k*32 + i+4]; + temp5 += tempA * B[k*32 + i+5]; + temp6 += tempA * B[k*32 + i+6]; + temp7 += tempA * B[k*32 + i+7]; + } + C[i+j*32] = temp0; + C[i+j*32+1] = temp1; + C[i+j*32+2] = temp2; + C[i+j*32+3] = temp3; + C[i+j*32+4] = temp4; + C[i+j*32+5] = temp5; + C[i+j*32+6] = temp6; + C[i+j*32+7] = temp7; + } + + } + } + */ +} + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + int i, j, k, ii, jj, kk; + if (coreid) { +// for ( ii = 0; ii < 32; ii+=IC ) + for ( kk = 0; kk < 32; kk+=16 ) + for ( j = 0; j < 16; j++ ) +// for ( j = 0; j < 16; j++ ) + { + for ( i = 0; i < 32; i+=8 ) +// for ( i = ii; i < ii + IC && i < 32; i+=8 ) + { + data_t temp0 = C[i+j*32]; + data_t temp1 = C[i+j*32+1]; + data_t temp2 = C[i+j*32+2]; + data_t temp3 = C[i+j*32+3]; + data_t temp4 = C[i+j*32+4]; + data_t temp5 = C[i+j*32+5]; + data_t temp6 = C[i+j*32+6]; + data_t temp7 = C[i+j*32+7]; + for ( k = kk; k < kk+16 && k < 32; k++ ) +// for ( k = 0; k < 32; k++ ) + { + data_t tempA = A[j*32+k]; + temp0 += tempA * B[k*32 + i]; + temp1 += tempA * B[k*32 + i+1]; + temp2 += tempA * B[k*32 + i+2]; + temp3 += tempA * B[k*32 + i+3]; + temp4 += tempA * B[k*32 + i+4]; + temp5 += tempA * B[k*32 + i+5]; + temp6 += tempA * B[k*32 + i+6]; + temp7 += tempA * B[k*32 + i+7]; + } + C[i+j*32] = temp0; + C[i+j*32+1] = temp1; + C[i+j*32+2] = temp2; + C[i+j*32+3] = temp3; + C[i+j*32+4] = temp4; + C[i+j*32+5] = temp5; + C[i+j*32+6] = temp6; + C[i+j*32+7] = temp7; + } + } + } else { +// for ( ii = 0; ii < 32; ii+=IC ) + for ( kk = 0; kk < 32; kk+=16 ) + for ( j = 16; j < 32; j++ ) +// for ( j = 16; j < 32; j++ ) + { + for ( i = 0; i < 32; i+=8 ) +// for ( i = ii; i < ii + IC && i < 32; i+=8 ) + { + data_t temp0 = C[i+j*32]; + data_t temp1 = C[i+j*32+1]; + data_t temp2 = C[i+j*32+2]; + data_t temp3 = C[i+j*32+3]; + data_t temp4 = C[i+j*32+4]; + data_t temp5 = C[i+j*32+5]; + data_t temp6 = C[i+j*32+6]; + data_t temp7 = C[i+j*32+7]; + for ( k = kk; k < kk+16 && k < 32; k++ ) + { + data_t tempA = A[j*32+k]; + temp0 += tempA * B[k*32 + i]; + temp1 += tempA * B[k*32 + i+1]; + temp2 += tempA * B[k*32 + i+2]; + temp3 += tempA * B[k*32 + i+3]; + temp4 += tempA * B[k*32 + i+4]; + temp5 += tempA * B[k*32 + i+5]; + temp6 += tempA * B[k*32 + i+6]; + temp7 += tempA * B[k*32 + i+7]; + } + C[i+j*32] = temp0; + C[i+j*32+1] = temp1; + C[i+j*32+2] = temp2; + C[i+j*32+3] = temp3; + C[i+j*32+4] = temp4; + C[i+j*32+5] = temp5; + C[i+j*32+6] = temp6; + C[i+j*32+7] = temp7; + } + + } + } +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + + // Execute the provided, naive matmul + barrier(); + stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + + // clear results from the first trial + size_t i; + if (coreid == 0) + for (i=0; i < ARRAY_SIZE; i++) + results_data[i] = 0; + barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/bk_vvadd/bk_vvadd.c b/mt/bk_vvadd/bk_vvadd.c new file mode 100755 index 0000000..cf95374 --- /dev/null +++ b/mt/bk_vvadd/bk_vvadd.c @@ -0,0 +1,178 @@ +//************************************************************************** +// Vector-vector add benchmark +//-------------------------------------------------------------------------- +// Author : Andrew Waterman +// TA : Christopher Celio +// Student : +// +// This benchmark adds two vectors and writes the results to a +// third vector. The input data (and reference data) should be +// generated using the vvadd_gendata.pl perl script and dumped +// to a file named dataset.h + +// to print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DATA_SIZE, 10*_c/DATA_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %4ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %4ld, correct[%d]= %4ld\n", + i, (long) test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// vvadd function + +//perform in-place vvadd +void __attribute__((noinline)) vvadd(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + size_t i; + + // interleave accesses + for (i = coreid; i < n; i+=ncores) + { + x[i] = x[i] + y[i]; + } +} + +void __attribute__((noinline)) vvadd_opt(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + size_t i; + if (coreid) { + for (i = 0; i < n / 2; i++) + x[i] = x[i] + y[i]; + } else { + for (i = n / 2; i < n; i++) + x[i] = x[i] + y[i]; + } +/* + for ( i = (coreid * n) / ncores; i < ((coreid+1)*n)/ncores; i++ ) { + x[i] = x[i] + y[i]; + } +*/ +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[DATA_SIZE]; + + // because we're going to perform an in-place vvadd (and we're going to run + // it a couple of times) let's copy the input data to a temporary results + // array + + size_t i; + if (coreid == 0) + { + for (i = 0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + + + // Execute the provided, terrible vvadd + barrier(); + stats(vvadd(DATA_SIZE, results_data, input2_data); barrier()); + + + // verify + verify(DATA_SIZE, results_data, verify_data); + + // reset results from the first trial + if (coreid == 0) + { + for (i=0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + barrier(); + + + // Execute your faster vvadd + barrier(); + stats(vvadd_opt(DATA_SIZE, results_data, input2_data); barrier()); + +#ifdef DEBUG + printArray("results: ", DATA_SIZE, results_data); + printArray("verify : ", DATA_SIZE, verify_data); +#endif + + // verify + verify(DATA_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/bk_vvadd/dataset.h b/mt/bk_vvadd/dataset.h new file mode 100755 index 0000000..ce9f936 --- /dev/null +++ b/mt/bk_vvadd/dataset.h @@ -0,0 +1,165 @@ + +#define DATA_SIZE 1000 + +static data_t input1_data[DATA_SIZE] = +{ + 0.00, 15.00, 10.00, 3.00, 14.00, 6.00, 2.00, 18.00, 11.00, 15.00, 11.00, 0.00, 17.00, 16.00, 7.00, 13.00, 18.00, 2.00, 2.00, 5.00, + 8.00, 5.00, 12.00, 14.00, 6.00, 12.00, 16.00, 7.00, 9.00, 17.00, 10.00, 10.00, 3.00, 5.00, 14.00, 11.00, 9.00, 12.00, 3.00, 1.00, + 5.00, 4.00, 6.00, 17.00, 17.00, 4.00, 17.00, 15.00, 17.00, 18.00, 3.00, 18.00, 10.00, 6.00, 12.00, 12.00, 3.00, 2.00, 16.00, 1.00, + 5.00, 6.00, 2.00, 17.00, 16.00, 5.00, 10.00, 18.00, 14.00, 4.00, 9.00, 9.00, 7.00, 4.00, 8.00, 13.00, 12.00, 6.00, 4.00, 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12.00, 11.00, 17.00, 4.00, 13.00, 7.00, 16.00, 12.00, 7.00, 18.00 +}; + +static data_t input2_data[DATA_SIZE] = +{ + 8.00, 6.00, 0.00, 18.00, 6.00, 10.00, 1.00, 2.00, 4.00, 2.00, 4.00, 10.00, 6.00, 11.00, 17.00, 4.00, 0.00, 16.00, 14.00, 12.00, + 9.00, 8.00, 13.00, 15.00, 18.00, 2.00, 13.00, 10.00, 5.00, 4.00, 12.00, 9.00, 1.00, 13.00, 12.00, 7.00, 10.00, 17.00, 11.00, 10.00, + 18.00, 15.00, 11.00, 12.00, 7.00, 9.00, 6.00, 5.00, 11.00, 7.00, 10.00, 12.00, 18.00, 18.00, 15.00, 1.00, 3.00, 18.00, 11.00, 16.00, + 13.00, 18.00, 4.00, 13.00, 8.00, 7.00, 10.00, 13.00, 0.00, 9.00, 1.00, 16.00, 13.00, 7.00, 5.00, 5.00, 11.00, 1.00, 6.00, 10.00, + 12.00, 3.00, 10.00, 5.00, 15.00, 15.00, 13.00, 14.00, 14.00, 1.00, 18.00, 5.00, 16.00, 14.00, 10.00, 4.00, 8.00, 4.00, 6.00, 6.00, + 13.00, 14.00, 8.00, 5.00, 14.00, 10.00, 9.00, 10.00, 17.00, 15.00, 6.00, 16.00, 12.00, 9.00, 10.00, 16.00, 16.00, 8.00, 1.00, 12.00, + 7.00, 0.00, 0.00, 3.00, 5.00, 7.00, 10.00, 3.00, 17.00, 10.00, 18.00, 16.00, 1.00, 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22.00, 10.00, + 24.00, 2.00, 17.00, 9.00, 22.00, 30.00, 24.00, 33.00, 25.00, 17.00, 23.00, 9.00, 13.00, 15.00, 23.00, 10.00, 1.00, 22.00, 17.00, 10.00, + 32.00, 24.00, 26.00, 4.00, 15.00, 0.00, 27.00, 23.00, 28.00, 23.00, 30.00, 7.00, 16.00, 33.00, 20.00, 14.00, 23.00, 14.00, 20.00, 14.00, + 7.00, 25.00, 24.00, 12.00, 29.00, 16.00, 17.00, 20.00, 29.00, 16.00, 13.00, 18.00, 26.00, 18.00, 18.00, 17.00, 13.00, 29.00, 14.00, 17.00, + 24.00, 16.00, 21.00, 14.00, 26.00, 9.00, 11.00, 28.00, 25.00, 15.00, 15.00, 12.00, 6.00, 14.00, 27.00, 14.00, 24.00, 18.00, 18.00, 14.00, + 32.00, 21.00, 26.00, 13.00, 6.00, 24.00, 22.00, 27.00, 17.00, 26.00, 19.00, 21.00, 19.00, 9.00, 21.00, 25.00, 17.00, 27.00, 15.00, 18.00 +}; + diff --git a/mt/bk_vvadd/vvadd_gendata.pl b/mt/bk_vvadd/vvadd_gendata.pl new file mode 100755 index 0000000..a9fceac --- /dev/null +++ b/mt/bk_vvadd/vvadd_gendata.pl @@ -0,0 +1,139 @@ +#!/usr/bin/perl -w +#========================================================================== +# vvadd_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the vvadd benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: vvadd_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[DATA_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3.2f",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + my @values1; + my @values2; + my @sum; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + my $value1 = int(rand(19)); + my $value2 = int(rand(19)); + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @sum, $value1 + $value2 ); + } + + + print "\n\#define DATA_SIZE ".$opts{"size"}." \n\n"; + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@sum ); + +} + +main(); + diff --git a/mt/bm_matmul/bm_matmul.c b/mt/bm_matmul/bm_matmul.c new file mode 100644 index 0000000..3f267dc --- /dev/null +++ b/mt/bm_matmul/bm_matmul.c @@ -0,0 +1,357 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + int i, j, k; + int space=lda/ncores; + int max= space*coreid+space; + data_t temp=0; + + data_t temp1=0; + data_t temp2=0; + data_t temp3=0; + data_t temp4=0; + + data_t temp_1=0; + + data_t temp1_1=0; + data_t temp2_1=0; + data_t temp3_1=0; + data_t temp4_1=0; + + data_t temp_2=0; + + data_t temp1_2=0; + data_t temp2_2=0; + data_t temp3_2=0; + data_t temp4_2=0; + + data_t temp_3=0; + + data_t temp1_3=0; + data_t temp2_3=0; + data_t temp3_3=0; + data_t temp4_3=0; + + if (coreid!=ncores-1){ + //main loop + for (i=space*coreid;i<max/4*4;i+=4) + { + for(j=0;j<lda;j+=4) + { + temp1=C[j+i*lda]; + temp2=C[j+1+i*lda]; + temp3=C[j+2+i*lda]; + temp4=C[j+3+i*lda]; + + temp1_1=C[j+(i+1)*lda]; + temp2_1=C[j+1+(i+1)*lda]; + temp3_1=C[j+2+(i+1)*lda]; + temp4_1=C[j+3+(i+1)*lda]; + + temp1_2=C[j+(i+2)*lda]; + temp2_2=C[j+1+(i+2)*lda]; + temp3_2=C[j+2+(i+2)*lda]; + temp4_2=C[j+3+(i+2)*lda]; + + temp1_3=C[j+(i+3)*lda]; + temp2_3=C[j+1+(i+3)*lda]; + temp3_3=C[j+2+(i+3)*lda]; + temp4_3=C[j+3+(i+3)*lda]; + for (k=0;k<lda;k++) + { + temp=A[k+i*lda]; + temp1+=temp*B[j+k*lda]; + temp2+=temp*B[j+1+k*lda]; + temp3+=temp*B[j+2+k*lda]; + temp4+=temp*B[j+3+k*lda]; + + temp_1=A[k+(i+1)*lda]; + temp1_1+=temp_1*B[j+k*lda]; + temp2_1+=temp_1*B[j+1+k*lda]; + temp3_1+=temp_1*B[j+2+k*lda]; + temp4_1+=temp_1*B[j+3+k*lda]; + + temp_2=A[k+(i+2)*lda]; + temp1_2+=temp_2*B[j+k*lda]; + temp2_2+=temp_2*B[j+1+k*lda]; + temp3_2+=temp_2*B[j+2+k*lda]; + temp4_2+=temp_2*B[j+3+k*lda]; + + temp_3=A[k+(i+3)*lda]; + temp1_3+=temp_3*B[j+k*lda]; + temp2_3+=temp_3*B[j+1+k*lda]; + temp3_3+=temp_3*B[j+2+k*lda]; + temp4_3+=temp_3*B[j+3+k*lda]; + + } + C[j+i*lda]=temp1; + C[j+1+i*lda]=temp2; + C[j+2+i*lda]=temp3; + C[j+3+i*lda]=temp4; + + C[j+(i+1)*lda]=temp1_1; + C[j+1+(i+1)*lda]=temp2_1; + C[j+2+(i+1)*lda]=temp3_1; + C[j+3+(i+1)*lda]=temp4_1; + + C[j+(i+2)*lda]=temp1_2; + C[j+1+(i+2)*lda]=temp2_2; + C[j+2+(i+2)*lda]=temp3_2; + C[j+3+(i+2)*lda]=temp4_2; + + C[j+(i+3)*lda]=temp1_3; + C[j+1+(i+3)*lda]=temp2_3; + C[j+2+(i+3)*lda]=temp3_3; + C[j+3+(i+3)*lda]=temp4_3; + + } + + } + + + + } + + //second core + else{ + for (i=space*coreid;i<lda/4*4;i+=4) + { + for(j=0;j<lda;j+=4) + { + temp1=C[j+i*lda]; + temp2=C[j+1+i*lda]; + temp3=C[j+2+i*lda]; + temp4=C[j+3+i*lda]; + + temp1_1=C[j+(i+1)*lda]; + temp2_1=C[j+1+(i+1)*lda]; + temp3_1=C[j+2+(i+1)*lda]; + temp4_1=C[j+3+(i+1)*lda]; + + temp1_2=C[j+(i+2)*lda]; + temp2_2=C[j+1+(i+2)*lda]; + temp3_2=C[j+2+(i+2)*lda]; + temp4_2=C[j+3+(i+2)*lda]; + + temp1_3=C[j+(i+3)*lda]; + temp2_3=C[j+1+(i+3)*lda]; + temp3_3=C[j+2+(i+3)*lda]; + temp4_3=C[j+3+(i+3)*lda]; + for (k=0;k<lda;k++) + { + temp=A[k+i*lda]; + temp1+=temp*B[j+k*lda]; + temp2+=temp*B[j+1+k*lda]; + temp3+=temp*B[j+2+k*lda]; + temp4+=temp*B[j+3+k*lda]; + + temp_1=A[k+(i+1)*lda]; + temp1_1+=temp_1*B[j+k*lda]; + temp2_1+=temp_1*B[j+1+k*lda]; + temp3_1+=temp_1*B[j+2+k*lda]; + temp4_1+=temp_1*B[j+3+k*lda]; + + temp_2=A[k+(i+2)*lda]; + temp1_2+=temp_2*B[j+k*lda]; + temp2_2+=temp_2*B[j+1+k*lda]; + temp3_2+=temp_2*B[j+2+k*lda]; + temp4_2+=temp_2*B[j+3+k*lda]; + + temp_3=A[k+(i+3)*lda]; + temp1_3+=temp_3*B[j+k*lda]; + temp2_3+=temp_3*B[j+1+k*lda]; + temp3_3+=temp_3*B[j+2+k*lda]; + temp4_3+=temp_3*B[j+3+k*lda]; + + } + C[j+i*lda]=temp1; + C[j+1+i*lda]=temp2; + C[j+2+i*lda]=temp3; + C[j+3+i*lda]=temp4; + + C[j+(i+1)*lda]=temp1_1; + C[j+1+(i+1)*lda]=temp2_1; + C[j+2+(i+1)*lda]=temp3_1; + C[j+3+(i+1)*lda]=temp4_1; + + C[j+(i+2)*lda]=temp1_2; + C[j+1+(i+2)*lda]=temp2_2; + C[j+2+(i+2)*lda]=temp3_2; + C[j+3+(i+2)*lda]=temp4_2; + + C[j+(i+3)*lda]=temp1_3; + C[j+1+(i+3)*lda]=temp2_3; + C[j+2+(i+3)*lda]=temp3_3; + C[j+3+(i+3)*lda]=temp4_3; + + } + + } + + + } + + +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + +// // Execute the provided, naive matmul +// barrier(); +// stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); +// +// +// // verify +// verify(ARRAY_SIZE, results_data, verify_data); +// +// // clear results from the first trial +// size_t i; +// if (coreid == 0) +// for (i=0; i < ARRAY_SIZE; i++) +// results_data[i] = 0; +// barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/bm_matmul/dataset.h b/mt/bm_matmul/dataset.h new file mode 100755 index 0000000..dde3ee4 --- /dev/null +++ b/mt/bm_matmul/dataset.h @@ -0,0 +1,174 @@ + +#define ARRAY_SIZE 1024 + + +#define DIM_SIZE 32 + +static data_t input1_data[ARRAY_SIZE] = +{ + 0, 3, 2, 0, 3, 1, 0, 3, 2, 3, 2, 0, 3, 3, 1, 2, 3, 0, 0, 1, + 1, 1, 2, 3, 1, 2, 3, 1, 1, 3, 2, 2, 0, 1, 3, 2, 2, 2, 0, 0, + 1, 0, 1, 3, 3, 0, 3, 3, 3, 3, 0, 3, 2, 1, 2, 2, 0, 0, 3, 0, + 1, 1, 0, 3, 3, 1, 2, 3, 3, 0, 1, 2, 1, 0, 1, 2, 2, 1, 0, 3, + 1, 0, 2, 2, 1, 1, 1, 1, 1, 1, 2, 0, 3, 1, 1, 2, 2, 3, 3, 1, + 3, 2, 0, 0, 0, 3, 3, 3, 2, 1, 2, 3, 1, 0, 0, 0, 0, 1, 2, 2, + 1, 1, 3, 3, 3, 1, 1, 2, 3, 1, 3, 3, 2, 3, 2, 1, 2, 3, 0, 2, + 2, 1, 1, 0, 0, 0, 0, 0, 1, 3, 3, 1, 1, 1, 2, 2, 3, 2, 1, 1, + 1, 1, 3, 0, 2, 2, 1, 3, 2, 1, 2, 2, 1, 3, 1, 3, 1, 3, 2, 3, + 1, 2, 1, 3, 2, 2, 0, 1, 0, 0, 1, 2, 3, 3, 1, 0, 0, 0, 3, 1, + 2, 3, 2, 3, 2, 0, 0, 0, 0, 0, 3, 1, 3, 0, 0, 0, 3, 1, 1, 1, + 1, 2, 1, 2, 3, 2, 0, 0, 2, 2, 3, 0, 3, 0, 0, 3, 0, 3, 1, 3, + 3, 1, 1, 1, 2, 2, 1, 3, 0, 3, 3, 1, 0, 0, 3, 2, 1, 3, 3, 3, + 1, 0, 1, 1, 2, 1, 0, 1, 1, 2, 2, 3, 1, 2, 2, 2, 0, 1, 3, 3, + 3, 2, 2, 1, 0, 1, 2, 0, 1, 1, 1, 1, 2, 3, 2, 2, 3, 3, 0, 0, + 2, 0, 0, 0, 3, 0, 1, 0, 3, 0, 0, 0, 3, 0, 0, 2, 0, 2, 0, 0, + 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 0, 2, 0, 0, 3, 3, 2, 3, 3, 0, + 1, 0, 2, 2, 0, 3, 3, 1, 1, 0, 2, 3, 2, 1, 1, 0, 1, 2, 1, 2, + 2, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 3, 3, 2, 0, 0, 1, 3, 0, 3, + 3, 0, 0, 0, 0, 3, 3, 1, 0, 0, 3, 3, 2, 1, 2, 1, 3, 3, 0, 1, + 3, 0, 2, 3, 1, 3, 3, 3, 3, 3, 0, 1, 1, 3, 0, 2, 2, 3, 1, 2, + 2, 2, 1, 3, 3, 0, 3, 0, 0, 2, 0, 2, 3, 0, 1, 3, 2, 2, 0, 0, + 2, 3, 0, 2, 2, 2, 3, 1, 0, 3, 3, 3, 3, 1, 0, 3, 3, 2, 0, 3, + 2, 0, 3, 0, 2, 0, 0, 2, 2, 1, 0, 2, 3, 1, 1, 1, 1, 2, 3, 3, + 3, 0, 0, 3, 3, 3, 2, 3, 3, 1, 2, 2, 3, 1, 2, 1, 1, 3, 0, 1, + 2, 0, 2, 0, 0, 1, 3, 2, 0, 1, 3, 2, 3, 3, 0, 0, 0, 1, 0, 3, + 3, 2, 2, 2, 1, 1, 2, 2, 1, 3, 2, 0, 1, 3, 2, 0, 2, 1, 3, 0, + 0, 0, 1, 3, 3, 2, 2, 2, 3, 1, 0, 0, 1, 1, 2, 1, 3, 1, 1, 2, + 2, 3, 2, 3, 0, 2, 3, 3, 0, 3, 0, 0, 1, 0, 0, 0, 1, 3, 1, 1, + 2, 3, 2, 1, 1, 2, 2, 2, 3, 0, 1, 1, 2, 1, 2, 0, 2, 3, 1, 3, + 0, 1, 1, 3, 0, 2, 3, 0, 1, 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 2, + 3, 0, 1, 1, 1, 1, 2, 0, 1, 2, 0, 1, 1, 1, 0, 1, 3, 2, 3, 1, + 0, 2, 1, 2, 1, 3, 3, 1, 0, 2, 2, 3, 1, 3, 1, 3, 0, 1, 0, 3, + 0, 3, 2, 0, 3, 3, 3, 0, 3, 2, 2, 2, 1, 3, 0, 0, 1, 1, 3, 0, + 1, 2, 1, 0, 0, 0, 3, 2, 2, 0, 0, 2, 1, 3, 0, 0, 3, 0, 0, 2, + 1, 1, 2, 2, 1, 3, 2, 2, 1, 1, 2, 1, 3, 2, 1, 1, 3, 0, 1, 3, + 3, 2, 2, 1, 0, 3, 2, 2, 2, 3, 0, 1, 3, 3, 2, 3, 0, 3, 2, 3, + 1, 1, 0, 0, 0, 2, 3, 0, 3, 0, 1, 1, 3, 1, 3, 2, 1, 1, 2, 1, + 3, 2, 0, 2, 1, 0, 2, 3, 2, 3, 2, 1, 2, 3, 0, 0, 1, 1, 0, 0, + 2, 1, 0, 1, 2, 2, 2, 2, 0, 3, 3, 1, 0, 0, 0, 0, 3, 1, 1, 0, + 0, 0, 0, 1, 2, 2, 1, 3, 0, 2, 3, 2, 3, 2, 2, 1, 2, 2, 3, 3, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 2, 2, 3, 1, 1, 1, 0, 0, 0, 3, 0, + 1, 0, 3, 1, 1, 3, 0, 1, 2, 2, 0, 0, 3, 3, 3, 3, 2, 1, 0, 0, + 1, 0, 2, 0, 1, 1, 0, 0, 3, 3, 2, 1, 1, 1, 0, 1, 1, 2, 2, 1, + 1, 2, 0, 3, 1, 3, 1, 0, 3, 0, 3, 1, 1, 1, 0, 2, 0, 3, 1, 0, + 1, 0, 2, 0, 2, 3, 3, 3, 1, 2, 3, 2, 2, 0, 1, 1, 0, 3, 3, 1, + 3, 3, 2, 0, 2, 0, 2, 2, 3, 3, 3, 0, 2, 3, 3, 1, 3, 2, 2, 2, + 0, 2, 3, 0, 2, 0, 3, 2, 2, 1, 1, 0, 2, 2, 2, 0, 2, 2, 0, 1, + 3, 2, 1, 3, 2, 2, 0, 3, 3, 1, 2, 2, 0, 0, 3, 2, 1, 2, 2, 1, + 3, 1, 2, 0, 0, 1, 1, 2, 1, 3, 2, 2, 3, 0, 2, 1, 3, 2, 1, 3, + 2, 3, 3, 1, 2, 1, 2, 2, 0, 0, 0, 3, 0, 2, 3, 1, 0, 0, 2, 3, + 3, 2, 2, 1 +}; + +static data_t input2_data[ARRAY_SIZE] = +{ + 1, 1, 0, 3, 1, 2, 0, 0, 0, 0, 0, 2, 1, 2, 3, 0, 0, 3, 3, 2, + 2, 1, 2, 3, 3, 0, 2, 2, 1, 1, 2, 2, 0, 2, 2, 1, 2, 3, 2, 2, + 3, 3, 2, 2, 1, 1, 1, 1, 2, 1, 2, 2, 3, 3, 3, 0, 0, 3, 2, 3, + 2, 3, 1, 2, 1, 1, 2, 2, 0, 1, 0, 3, 2, 1, 1, 1, 2, 0, 1, 2, + 2, 0, 2, 1, 3, 3, 2, 3, 2, 0, 3, 1, 3, 3, 2, 0, 1, 0, 1, 1, + 2, 2, 1, 1, 2, 2, 1, 2, 3, 3, 1, 3, 2, 2, 2, 3, 3, 1, 0, 2, + 1, 0, 0, 0, 1, 1, 2, 0, 3, 2, 3, 3, 0, 2, 3, 1, 0, 0, 2, 1, + 2, 0, 2, 1, 1, 2, 3, 1, 3, 2, 1, 0, 0, 0, 0, 0, 2, 2, 0, 2, + 1, 2, 0, 3, 2, 2, 0, 0, 3, 2, 1, 1, 3, 0, 2, 0, 0, 1, 0, 2, + 3, 3, 1, 3, 3, 0, 0, 2, 2, 0, 0, 0, 1, 0, 0, 1, 3, 0, 2, 1, + 3, 2, 2, 1, 3, 2, 0, 1, 2, 2, 3, 2, 1, 1, 1, 1, 3, 0, 1, 3, + 2, 2, 3, 1, 1, 2, 0, 2, 1, 1, 2, 3, 1, 0, 1, 0, 1, 1, 0, 0, + 2, 0, 3, 0, 3, 0, 3, 2, 2, 3, 3, 2, 1, 0, 2, 2, 1, 1, 0, 3, + 3, 2, 2, 0, 0, 3, 0, 1, 0, 0, 1, 2, 0, 1, 3, 0, 1, 2, 2, 0, + 0, 3, 0, 3, 0, 1, 1, 2, 0, 0, 0, 3, 0, 0, 2, 1, 1, 1, 0, 2, + 1, 3, 1, 2, 0, 3, 0, 3, 1, 3, 0, 0, 2, 2, 2, 2, 3, 3, 2, 1, + 2, 2, 1, 1, 2, 2, 2, 2, 0, 3, 0, 0, 2, 0, 1, 2, 0, 3, 2, 3, + 2, 0, 2, 1, 2, 1, 0, 2, 1, 1, 3, 2, 2, 3, 1, 0, 3, 3, 1, 0, + 3, 2, 2, 0, 0, 3, 0, 0, 2, 0, 3, 2, 3, 1, 1, 0, 0, 2, 3, 0, + 0, 1, 1, 1, 2, 1, 3, 2, 1, 3, 0, 1, 3, 3, 1, 1, 1, 1, 1, 1, + 0, 0, 2, 3, 2, 2, 2, 3, 2, 3, 1, 2, 3, 2, 2, 2, 0, 1, 3, 0, + 1, 1, 0, 1, 0, 1, 1, 3, 3, 1, 2, 2, 3, 2, 0, 2, 2, 0, 1, 3, + 0, 1, 3, 2, 1, 3, 3, 2, 0, 1, 3, 2, 0, 2, 1, 1, 0, 3, 0, 1, + 1, 1, 1, 1, 3, 0, 0, 1, 0, 2, 3, 1, 3, 0, 2, 1, 3, 0, 3, 0, + 3, 2, 2, 0, 0, 2, 1, 3, 3, 2, 3, 2, 2, 1, 2, 2, 3, 0, 3, 2, + 2, 0, 3, 2, 3, 2, 0, 0, 1, 2, 0, 0, 2, 0, 0, 3, 3, 2, 0, 0, + 3, 3, 0, 2, 3, 1, 0, 1, 0, 2, 1, 0, 2, 1, 0, 1, 0, 3, 0, 2, + 2, 3, 0, 0, 2, 1, 0, 1, 0, 0, 0, 2, 2, 3, 2, 0, 3, 3, 2, 1, + 0, 0, 3, 1, 2, 3, 3, 1, 0, 3, 1, 1, 0, 3, 3, 3, 2, 2, 2, 0, + 1, 2, 0, 3, 0, 1, 0, 1, 1, 0, 1, 2, 0, 3, 2, 0, 1, 2, 2, 0, + 2, 0, 0, 1, 0, 3, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 1, 1, 1, 0, + 2, 1, 1, 3, 2, 0, 2, 1, 1, 0, 2, 2, 1, 3, 0, 2, 1, 0, 1, 2, + 0, 1, 3, 2, 3, 2, 1, 0, 2, 0, 2, 2, 3, 1, 1, 3, 2, 3, 2, 2, + 0, 2, 0, 0, 0, 3, 2, 0, 2, 2, 3, 3, 3, 2, 1, 2, 0, 0, 3, 0, + 2, 0, 3, 2, 2, 3, 0, 3, 2, 1, 2, 2, 1, 2, 0, 0, 3, 1, 2, 0, + 2, 3, 2, 2, 1, 1, 1, 3, 3, 3, 3, 3, 1, 3, 0, 1, 3, 2, 2, 1, + 0, 1, 1, 2, 1, 2, 3, 1, 2, 2, 1, 2, 1, 1, 0, 3, 3, 1, 1, 3, + 2, 0, 0, 1, 2, 0, 1, 3, 1, 0, 0, 2, 2, 3, 3, 0, 2, 3, 2, 1, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 3, 3, 3, 1, 3, 0, 3, 1, 1, 2, 2, + 2, 1, 0, 3, 2, 3, 0, 2, 3, 2, 3, 1, 2, 3, 3, 1, 2, 1, 0, 0, + 0, 3, 3, 3, 3, 0, 3, 3, 3, 3, 2, 1, 0, 3, 0, 3, 2, 3, 1, 0, + 0, 1, 3, 1, 0, 2, 2, 3, 1, 0, 2, 1, 1, 3, 1, 1, 3, 1, 2, 1, + 0, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 3, 3, 1, 0, 3, 1, 1, 2, 0, + 0, 0, 2, 3, 3, 2, 2, 3, 0, 2, 3, 1, 3, 3, 0, 2, 1, 2, 2, 2, + 1, 0, 1, 3, 2, 3, 1, 1, 2, 1, 1, 0, 0, 2, 3, 2, 1, 0, 3, 1, + 3, 0, 1, 1, 2, 2, 1, 3, 3, 1, 1, 0, 0, 3, 3, 0, 0, 0, 0, 0, + 3, 1, 3, 0, 0, 0, 3, 3, 2, 1, 3, 0, 1, 3, 1, 1, 1, 0, 1, 0, + 1, 2, 2, 2, 3, 3, 0, 2, 3, 2, 1, 3, 3, 1, 1, 3, 0, 3, 3, 2, + 1, 1, 2, 0, 3, 0, 1, 2, 1, 1, 0, 0, 1, 2, 2, 0, 3, 1, 1, 1, + 3, 3, 3, 1, 0, 3, 3, 2, 2, 2, 1, 2, 0, 1, 1, 3, 0, 3, 1, 0, + 2, 2, 0, 1, 2, 3, 2, 1, 2, 0, 3, 2, 1, 3, 0, 1, 2, 0, 3, 0, + 1, 1, 2, 1 +}; + +static data_t verify_data[ARRAY_SIZE] = +{ + 72, 75, 88, 101, 80, 88, 73, 75, 80, 81, 58, 75, 86, 65, 60, 80, 84, 83, 87, 83, + 108, 93, 85, 76, 72, 98, 79, 86, 80, 96, 91, 85, 72, 64, 70, 83, 68, 92, 51, 54, + 85, 85, 60, 58, 90, 64, 55, 69, 72, 48, 94, 77, 91, 83, 70, 69, 67, 77, 59, 50, + 67, 74, 77, 67, 67, 62, 72, 71, 68, 79, 54, 61, 67, 61, 55, 62, 78, 60, 53, 64, + 67, 69, 99, 68, 88, 60, 66, 63, 70, 62, 65, 50, 53, 66, 70, 72, 75, 78, 85, 95, + 71, 89, 70, 68, 86, 88, 58, 77, 84, 70, 65, 68, 73, 75, 91, 96, 105, 92, 76, 68, + 86, 69, 80, 59, 73, 83, 88, 75, 64, 63, 71, 99, 77, 77, 69, 55, 80, 73, 54, 73, + 87, 78, 60, 69, 65, 78, 86, 89, 95, 92, 63, 69, 89, 61, 80, 65, 70, 77, 89, 77, + 79, 79, 73, 92, 64, 81, 60, 78, 81, 80, 61, 63, 89, 65, 56, 83, 77, 65, 102, 70, + 98, 86, 96, 68, 72, 89, 73, 73, 70, 89, 84, 76, 48, 61, 63, 70, 70, 79, 50, 53, + 64, 63, 43, 51, 59, 62, 43, 63, 55, 77, 79, 74, 75, 74, 64, 44, 65, 69, 72, 66, + 54, 71, 74, 72, 69, 76, 68, 89, 94, 75, 65, 53, 85, 79, 65, 74, 82, 73, 58, 70, + 84, 77, 99, 72, 92, 84, 78, 62, 59, 83, 71, 74, 63, 85, 80, 78, 71, 72, 79, 83, + 73, 82, 60, 85, 76, 82, 60, 70, 82, 68, 54, 85, 84, 70, 86, 74, 100, 88, 98, 68, + 67, 87, 69, 73, 68, 88, 76, 71, 47, 43, 47, 80, 54, 65, 40, 37, 59, 53, 33, 48, + 62, 40, 36, 55, 36, 62, 53, 57, 70, 69, 45, 43, 53, 61, 42, 57, 56, 63, 51, 47, + 59, 75, 64, 89, 83, 75, 59, 75, 91, 92, 58, 64, 83, 74, 58, 60, 76, 66, 97, 69, + 90, 95, 92, 64, 78, 75, 77, 73, 65, 78, 82, 75, 47, 54, 59, 71, 59, 56, 53, 42, + 60, 55, 40, 51, 60, 46, 36, 59, 46, 57, 67, 43, 51, 53, 53, 38, 54, 56, 55, 48, + 41, 46, 63, 63, 80, 77, 89, 102, 89, 98, 74, 86, 98, 93, 63, 76, 98, 77, 48, 101, + 86, 88, 100, 82, 102, 90, 95, 75, 86, 103, 83, 98, 80, 104, 98, 86, 71, 74, 80, 90, + 86, 87, 73, 70, 81, 83, 55, 66, 90, 66, 58, 84, 77, 84, 93, 72, 99, 75, 85, 65, + 70, 89, 71, 82, 64, 79, 82, 80, 67, 73, 86, 101, 78, 97, 66, 64, 84, 80, 55, 64, + 79, 73, 51, 79, 89, 68, 94, 77, 109, 102, 82, 61, 66, 93, 88, 70, 82, 82, 85, 69, + 69, 72, 66, 97, 85, 90, 70, 59, 76, 89, 53, 56, 90, 79, 71, 64, 70, 67, 100, 92, + 106, 89, 83, 78, 73, 80, 70, 72, 65, 70, 92, 88, 57, 76, 55, 85, 66, 80, 61, 63, + 63, 78, 54, 58, 71, 73, 54, 63, 63, 62, 89, 76, 86, 81, 83, 54, 70, 81, 78, 64, + 56, 72, 74, 81, 75, 63, 68, 89, 65, 77, 58, 68, 75, 83, 52, 62, 82, 63, 55, 75, + 51, 70, 95, 66, 83, 77, 86, 61, 64, 77, 48, 70, 66, 82, 72, 75, 79, 71, 72, 89, + 78, 78, 66, 59, 91, 80, 55, 64, 79, 68, 54, 71, 67, 75, 87, 84, 100, 101, 76, 58, + 74, 82, 61, 74, 75, 97, 85, 79, 61, 55, 69, 68, 72, 65, 52, 64, 80, 73, 48, 54, + 71, 66, 42, 61, 66, 63, 92, 64, 85, 77, 73, 54, 74, 73, 76, 66, 62, 79, 85, 70, + 71, 84, 87, 81, 88, 86, 77, 77, 93, 88, 78, 71, 101, 89, 58, 84, 95, 81, 89, 97, + 104, 79, 83, 76, 90, 81, 91, 74, 70, 76, 91, 80, 51, 48, 56, 69, 47, 63, 54, 42, + 63, 63, 42, 52, 66, 56, 39, 59, 61, 52, 59, 63, 62, 68, 57, 35, 67, 58, 56, 52, + 61, 63, 60, 47, 85, 75, 89, 106, 88, 95, 74, 82, 107, 107, 64, 78, 98, 90, 62, 91, + 79, 87, 111, 84, 104, 106, 96, 68, 94, 99, 81, 89, 79, 105, 95, 86, 65, 63, 77, 89, + 66, 88, 56, 73, 82, 92, 41, 62, 85, 66, 50, 81, 57, 71, 77, 78, 86, 89, 77, 53, + 67, 78, 61, 63, 72, 82, 69, 66, 59, 46, 55, 70, 56, 64, 45, 50, 65, 64, 42, 56, + 78, 49, 51, 52, 38, 56, 72, 55, 73, 72, 61, 50, 63, 60, 47, 57, 55, 73, 53, 68, + 85, 88, 91, 96, 82, 89, 73, 76, 87, 86, 67, 69, 96, 84, 57, 89, 87, 89, 99, 88, + 104, 90, 85, 75, 88, 92, 85, 75, 74, 87, 103, 94, 55, 48, 56, 65, 72, 50, 45, 51, + 63, 62, 47, 57, 79, 53, 36, 63, 54, 68, 71, 59, 63, 61, 63, 41, 50, 73, 57, 59, + 56, 76, 73, 65, 61, 64, 61, 79, 53, 73, 57, 44, 61, 59, 59, 56, 81, 59, 49, 62, + 65, 55, 69, 72, 79, 70, 58, 57, 68, 61, 62, 50, 57, 60, 66, 66, 63, 77, 81, 89, + 85, 81, 76, 73, 78, 95, 59, 70, 81, 77, 46, 79, 78, 79, 83, 81, 84, 82, 85, 48, + 74, 85, 85, 74, 74, 80, 80, 74, 60, 76, 80, 97, 88, 93, 66, 66, 73, 84, 56, 70, + 90, 63, 58, 78, 73, 93, 90, 78, 94, 88, 82, 67, 85, 70, 81, 86, 74, 82, 88, 82, + 68, 73, 75, 91, 78, 97, 71, 66, 74, 85, 50, 59, 86, 77, 70, 74, 75, 74, 99, 82, + 99, 91, 86, 65, 80, 77, 72, 69, 60, 78, 90, 87, 79, 69, 74, 98, 70, 86, 81, 67, + 69, 78, 48, 65, 88, 70, 70, 70, 69, 72, 96, 90, 99, 82, 81, 76, 98, 73, 74, 71, + 69, 73, 94, 89 +}; + diff --git a/mt/bm_matmul/matmul_gendata.pl b/mt/bm_matmul/matmul_gendata.pl new file mode 100755 index 0000000..f21bb46 --- /dev/null +++ b/mt/bm_matmul/matmul_gendata.pl @@ -0,0 +1,200 @@ +#!/usr/bin/perl -w +#========================================================================== +# matmul_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the matmul benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: matmul_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[ARRAY_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3d",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + + + +#-------------------------------------------------------------------------- +# Matmul +#-------------------------------------------------------------------------- + +# http://answers.oreilly.com/topic/418-how-to-multiply-matrices-in-perl/ + +sub mmult { + my ($m1,$m2) = @_; + my ($m1rows,$m1cols) = matdim($m1); + my ($m2rows,$m2cols) = matdim($m2); + + my $result = [ ]; + my ($i, $j, $k); + + for $i (range($m1rows)) { + for $j (range($m2cols)) { + for $k (range($m1cols)) { + $result->[$i][$j] += $m1->[$i][$k] * $m2->[$k][$j]; + } + } + } + return $result; +} + +sub range { 0 .. ($_[0] - 1) } + + +sub veclen { + my $ary_ref = $_[0]; + my $type = ref $ary_ref; + if ($type ne "ARRAY") { die "$type is bad array ref for $ary_ref" } + return scalar(@$ary_ref); +} + +sub matdim { + my $matrix = $_[0]; + my $rows = veclen($matrix); + my $cols = veclen($matrix->[0]); + return ($rows, $cols); +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + # create random input arrays + my $mat_values1; + my $mat_values2; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + $mat_values1->[$i][$j] = int(rand(4)); + $mat_values2->[$i][$j] = int(rand(4)); + } + } + + # perform matmul + my $mat_results = mmult( $mat_values1, $mat_values2 ); + + # translate 2d arrays to 1d-somethings (I don't know how to code in perl - Chris) + my @values1; + my @values2; + my @results; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + my $value1 = $mat_values1->[$i][$j]; + my $value2 = $mat_values2->[$i][$j]; + my $result = $mat_results->[$i][$j]; + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @results, $result ); + } + } + + print "\n\#define ARRAY_SIZE ".($opts{"size"}*$opts{"size"})." \n\n"; + print "\n\#define DIM_SIZE ".$opts{"size"}." \n\n"; + + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@results); + +} + +main(); + diff --git a/mt/bm_matmul/matmul_mi.c b/mt/bm_matmul/matmul_mi.c new file mode 100644 index 0000000..2471a4a --- /dev/null +++ b/mt/bm_matmul/matmul_mi.c @@ -0,0 +1,348 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + int i, j, k; + int space=lda/ncores; + int max= space*coreid+space; + static data_t B1[32*32]; + if (coreid==ncores-1){ + for (i=0; i<lda*lda/2;i++) + { + B1[i]=B[i]; + } + } + else{ + for (i=lda*lda/2;i<lda*lda;i++) + B1[i]=B[i]; + } + data_t temp=0; + data_t temp1=0; + data_t temp2=0; + data_t temp3=0; + data_t tempB=0; + + data_t temp_1=0; + data_t temp1_1=0; + data_t temp2_1=0; + data_t temp3_1=0; + data_t tempB_1=0; + + data_t temp_2=0; + data_t temp1_2=0; + data_t temp2_2=0; + data_t temp3_2=0; + data_t tempB_2=0; + + data_t temp_3=0; + data_t temp1_3=0; + data_t temp2_3=0; + data_t temp3_3=0; + data_t tempB_3=0; + barrier(); + if (coreid!=ncores-1){ + for (i=space*coreid;i<max/4*4;i+=4) + { + for(j=0;j<lda/4*4;j+=4) + { + temp=C[j+i*lda]; + temp1=C[j+(i+1)*lda]; + temp2=C[j+(i+2)*lda]; + temp3=C[j+(i+3)*lda]; + temp_1=C[j+1+i*lda]; + temp1_1=C[j+1+(i+1)*lda]; + temp2_1=C[j+1+(i+2)*lda]; + temp3_1=C[j+1+(i+3)*lda]; + temp_2=C[j+2+i*lda]; + temp1_2=C[j+2+(i+1)*lda]; + temp2_2=C[j+2+(i+2)*lda]; + temp3_2=C[j+2+(i+3)*lda]; + temp_3=C[j+3+i*lda]; + temp1_3=C[j+3+(i+1)*lda]; + temp2_3=C[j+3+(i+2)*lda]; + temp3_3=C[j+3+(i+3)*lda]; + for (k=0;k<lda;k++) + { + tempB=B[j+k*lda]; + temp+=A[k+i*lda]*tempB; + temp1+=A[k+(i+1)*lda]*tempB; + temp2+=A[k+(i+2)*lda]*tempB; + temp3+=A[k+(i+3)*lda]*tempB; + + tempB_1=B[j+1+k*lda]; + temp_1+=A[k+i*lda]*tempB_1; + temp1_1+=A[k+(i+1)*lda]*tempB_1; + temp2_1+=A[k+(i+2)*lda]*tempB_1; + temp3_1+=A[k+(i+3)*lda]*tempB_1; + + tempB_2=B[j+2+k*lda]; + temp_2+=A[k+i*lda]*tempB_2; + temp1_2+=A[k+(i+1)*lda]*tempB_2; + temp2_2+=A[k+(i+2)*lda]*tempB_2; + temp3_2+=A[k+(i+3)*lda]*tempB_2; + + tempB_3=B[j+3+k*lda]; + temp_3+=A[k+i*lda]*tempB_3; + temp1_3+=A[k+(i+1)*lda]*tempB_3; + temp2_3+=A[k+(i+2)*lda]*tempB_3; + temp3_3+=A[k+(i+3)*lda]*tempB_3; + } + C[j+i*lda]=temp; + C[j+(i+1)*lda]=temp1; + C[j+(i+2)*lda]=temp2; + C[j+(i+3)*lda]=temp3; + + C[j+1+i*lda]=temp_1; + C[j+1+(i+1)*lda]=temp1_1; + C[j+1+(i+2)*lda]=temp2_1; + C[j+1+(i+3)*lda]=temp3_1; + + C[j+2+i*lda]=temp_2; + C[j+2+(i+1)*lda]=temp1_2; + C[j+2+(i+2)*lda]=temp2_2; + C[j+2+(i+3)*lda]=temp3_2; + + C[j+3+i*lda]=temp_3; + C[j+3+(i+1)*lda]=temp1_3; + C[j+3+(i+2)*lda]=temp2_3; + C[j+3+(i+3)*lda]=temp3_3; + + } + } + } + else{ + for (i=space*coreid;i<lda/4*4;i+=4) + { + for(j=0;j<lda/4*4;j+=4) + { + temp=C[j+i*lda]; + temp1=C[j+(i+1)*lda]; + temp2=C[j+(i+2)*lda]; + temp3=C[j+(i+3)*lda]; + temp_1=C[j+1+i*lda]; + temp1_1=C[j+1+(i+1)*lda]; + temp2_1=C[j+1+(i+2)*lda]; + temp3_1=C[j+1+(i+3)*lda]; + temp_2=C[j+2+i*lda]; + temp1_2=C[j+2+(i+1)*lda]; + temp2_2=C[j+2+(i+2)*lda]; + temp3_2=C[j+2+(i+3)*lda]; + temp_3=C[j+3+i*lda]; + temp1_3=C[j+3+(i+1)*lda]; + temp2_3=C[j+3+(i+2)*lda]; + temp3_3=C[j+3+(i+3)*lda]; + for (k=0;k<lda;k++) + { + tempB=B1[j+k*lda]; + temp+=A[k+i*lda]*tempB; + temp1+=A[k+(i+1)*lda]*tempB; + temp2+=A[k+(i+2)*lda]*tempB; + temp3+=A[k+(i+3)*lda]*tempB; + + tempB_1=B1[j+1+k*lda]; + temp_1+=A[k+i*lda]*tempB_1; + temp1_1+=A[k+(i+1)*lda]*tempB_1; + temp2_1+=A[k+(i+2)*lda]*tempB_1; + temp3_1+=A[k+(i+3)*lda]*tempB_1; + + tempB_2=B1[j+2+k*lda]; + temp_2+=A[k+i*lda]*tempB_2; + temp1_2+=A[k+(i+1)*lda]*tempB_2; + temp2_2+=A[k+(i+2)*lda]*tempB_2; + temp3_2+=A[k+(i+3)*lda]*tempB_2; + + tempB_3=B1[j+3+k*lda]; + temp_3+=A[k+i*lda]*tempB_3; + temp1_3+=A[k+(i+1)*lda]*tempB_3; + temp2_3+=A[k+(i+2)*lda]*tempB_3; + temp3_3+=A[k+(i+3)*lda]*tempB_3; + } + C[j+i*lda]=temp; + C[j+(i+1)*lda]=temp1; + C[j+(i+2)*lda]=temp2; + C[j+(i+3)*lda]=temp3; + + C[j+1+i*lda]=temp_1; + C[j+1+(i+1)*lda]=temp1_1; + C[j+1+(i+2)*lda]=temp2_1; + C[j+1+(i+3)*lda]=temp3_1; + + C[j+2+i*lda]=temp_2; + C[j+2+(i+1)*lda]=temp1_2; + C[j+2+(i+2)*lda]=temp2_2; + C[j+2+(i+3)*lda]=temp3_2; + + C[j+3+i*lda]=temp_3; + C[j+3+(i+1)*lda]=temp1_3; + C[j+3+(i+2)*lda]=temp2_3; + C[j+3+(i+3)*lda]=temp3_3; + + } + } + } + + + + +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + +// // Execute the provided, naive matmul +// barrier(); +// stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); +// +// +// // verify +// verify(ARRAY_SIZE, results_data, verify_data); +// +// // clear results from the first trial +// size_t i; +// if (coreid == 0) +// for (i=0; i < ARRAY_SIZE; i++) +// results_data[i] = 0; +// barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/bm_vvadd/bm_vvadd.c b/mt/bm_vvadd/bm_vvadd.c new file mode 100755 index 0000000..d60f4ec --- /dev/null +++ b/mt/bm_vvadd/bm_vvadd.c @@ -0,0 +1,194 @@ +//************************************************************************** +// Vector-vector add benchmark +//-------------------------------------------------------------------------- +// Author : Andrew Waterman +// TA : Christopher Celio +// Student : +// +// This benchmark adds two vectors and writes the results to a +// third vector. The input data (and reference data) should be +// generated using the vvadd_gendata.pl perl script and dumped +// to a file named dataset.h + +// to print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DATA_SIZE, 10*_c/DATA_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %4ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %4ld, correct[%d]= %4ld\n", + i, (long) test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// vvadd function + +//perform in-place vvadd +void __attribute__((noinline)) vvadd(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + size_t i; + + // interleave accesses + for (i = coreid; i < n; i+=ncores) + { + x[i] = x[i] + y[i]; + } +} + +void __attribute__((noinline)) vvadd_opt(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + + size_t i; + size_t space=n/ncores; + size_t max= space*coreid+space; + if (coreid!=ncores-1){ + for (i=space*coreid;i<max;i+=1) + { + x[i] = x[i] + y[i]; + } + } + else{ + for(i=space*coreid;i<n;i+=1) + { + x[i] = x[i] + y[i]; + } + } + /* + size_t i; + size_t space=n/ncores; + size_t max= space*coreid+space; + if (n%ncores!=0) + { + space=space+1; + } + for (i=space*coreid;i<max&& i<n;i+=1) + { + x[i] = x[i] + y[i]; + } + */ +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[DATA_SIZE]; + + // because we're going to perform an in-place vvadd (and we're going to run + // it a couple of times) let's copy the input data to a temporary results + // array + + size_t i; + if (coreid == 0) + { + for (i = 0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + + + // Execute the provided, terrible vvadd + barrier(); + stats(vvadd(DATA_SIZE, results_data, input2_data); barrier()); + + + // verify + verify(DATA_SIZE, results_data, verify_data); + + // reset results from the first trial + if (coreid == 0) + { + for (i=0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + barrier(); + + + // Execute your faster vvadd + barrier(); + stats(vvadd_opt(DATA_SIZE, results_data, input2_data); barrier()); + +#ifdef DEBUG + printArray("results: ", DATA_SIZE, results_data); + printArray("verify : ", DATA_SIZE, verify_data); +#endif + + // verify + verify(DATA_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/bm_vvadd/dataset.h b/mt/bm_vvadd/dataset.h new file mode 100755 index 0000000..ce9f936 --- /dev/null +++ b/mt/bm_vvadd/dataset.h @@ -0,0 +1,165 @@ + +#define DATA_SIZE 1000 + +static data_t input1_data[DATA_SIZE] = +{ + 0.00, 15.00, 10.00, 3.00, 14.00, 6.00, 2.00, 18.00, 11.00, 15.00, 11.00, 0.00, 17.00, 16.00, 7.00, 13.00, 18.00, 2.00, 2.00, 5.00, + 8.00, 5.00, 12.00, 14.00, 6.00, 12.00, 16.00, 7.00, 9.00, 17.00, 10.00, 10.00, 3.00, 5.00, 14.00, 11.00, 9.00, 12.00, 3.00, 1.00, + 5.00, 4.00, 6.00, 17.00, 17.00, 4.00, 17.00, 15.00, 17.00, 18.00, 3.00, 18.00, 10.00, 6.00, 12.00, 12.00, 3.00, 2.00, 16.00, 1.00, + 5.00, 6.00, 2.00, 17.00, 16.00, 5.00, 10.00, 18.00, 14.00, 4.00, 9.00, 9.00, 7.00, 4.00, 8.00, 13.00, 12.00, 6.00, 4.00, 17.00, + 5.00, 2.00, 11.00, 11.00, 7.00, 6.00, 8.00, 5.00, 6.00, 6.00, 11.00, 1.00, 18.00, 7.00, 6.00, 9.00, 10.00, 17.00, 14.00, 4.00, + 14.00, 11.00, 2.00, 0.00, 2.00, 17.00, 17.00, 15.00, 10.00, 8.00, 12.00, 18.00, 5.00, 0.00, 0.00, 1.00, 1.00, 8.00, 11.00, 11.00, + 7.00, 5.00, 15.00, 18.00, 15.00, 6.00, 8.00, 9.00, 18.00, 6.00, 15.00, 16.00, 10.00, 18.00, 13.00, 6.00, 10.00, 16.00, 0.00, 10.00, + 12.00, 8.00, 8.00, 3.00, 0.00, 1.00, 4.00, 0.00, 8.00, 15.00, 16.00, 9.00, 7.00, 7.00, 10.00, 9.00, 16.00, 12.00, 5.00, 5.00, + 9.00, 5.00, 17.00, 4.00, 13.00, 13.00, 4.00, 14.00, 10.00, 5.00, 10.00, 10.00, 6.00, 18.00, 5.00, 15.00, 5.00, 15.00, 13.00, 18.00, + 6.00, 13.00, 5.00, 18.00, 12.00, 14.00, 1.00, 7.00, 2.00, 1.00, 7.00, 12.00, 15.00, 15.00, 6.00, 2.00, 1.00, 2.00, 18.00, 6.00, + 10.00, 14.00, 9.00, 15.00, 11.00, 0.00, 3.00, 1.00, 2.00, 2.00, 14.00, 7.00, 18.00, 0.00, 2.00, 2.00, 16.00, 8.00, 4.00, 5.00, + 7.00, 11.00, 7.00, 10.00, 14.00, 10.00, 3.00, 0.00, 13.00, 9.00, 14.00, 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12.00, 11.00, 17.00, 4.00, 13.00, 7.00, 16.00, 12.00, 7.00, 18.00 +}; + +static data_t input2_data[DATA_SIZE] = +{ + 8.00, 6.00, 0.00, 18.00, 6.00, 10.00, 1.00, 2.00, 4.00, 2.00, 4.00, 10.00, 6.00, 11.00, 17.00, 4.00, 0.00, 16.00, 14.00, 12.00, + 9.00, 8.00, 13.00, 15.00, 18.00, 2.00, 13.00, 10.00, 5.00, 4.00, 12.00, 9.00, 1.00, 13.00, 12.00, 7.00, 10.00, 17.00, 11.00, 10.00, + 18.00, 15.00, 11.00, 12.00, 7.00, 9.00, 6.00, 5.00, 11.00, 7.00, 10.00, 12.00, 18.00, 18.00, 15.00, 1.00, 3.00, 18.00, 11.00, 16.00, + 13.00, 18.00, 4.00, 13.00, 8.00, 7.00, 10.00, 13.00, 0.00, 9.00, 1.00, 16.00, 13.00, 7.00, 5.00, 5.00, 11.00, 1.00, 6.00, 10.00, + 12.00, 3.00, 10.00, 5.00, 15.00, 15.00, 13.00, 14.00, 14.00, 1.00, 18.00, 5.00, 16.00, 14.00, 10.00, 4.00, 8.00, 4.00, 6.00, 6.00, + 13.00, 14.00, 8.00, 5.00, 14.00, 10.00, 9.00, 10.00, 17.00, 15.00, 6.00, 16.00, 12.00, 9.00, 10.00, 16.00, 16.00, 8.00, 1.00, 12.00, + 7.00, 0.00, 0.00, 3.00, 5.00, 7.00, 10.00, 3.00, 17.00, 10.00, 18.00, 16.00, 1.00, 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vvadd_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the vvadd benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: vvadd_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[DATA_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3.2f",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + my @values1; + my @values2; + my @sum; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + my $value1 = int(rand(19)); + my $value2 = int(rand(19)); + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @sum, $value1 + $value2 ); + } + + + print "\n\#define DATA_SIZE ".$opts{"size"}." \n\n"; + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@sum ); + +} + +main(); + diff --git a/mt/bn_matmul/bn_matmul.c b/mt/bn_matmul/bn_matmul.c new file mode 100755 index 0000000..eddbcfb --- /dev/null +++ b/mt/bn_matmul/bn_matmul.c @@ -0,0 +1,326 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ +///* + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } +//*/ + /* + int i, j, k, kk; + if (coreid) { + for ( i = 0; i < 16; i+=8 ) + { + for ( j = 0; j < 32; j++ ) + { + data_t temp0 = 0; + data_t temp1 = 0; + data_t temp2 = 0; + data_t temp3 = 0; + data_t temp4 = 0; + data_t temp5 = 0; + data_t temp6 = 0; + data_t temp7 = 0; + for ( kk = 0; kk < 32; kk+=8 ) + for ( k = kk; k < kk+8; k++ ) +// for ( k = 0; k < 32; k++ ) + { + data_t tempA = A[j*32+k]; + temp0 += tempA * B[k*32 + i]; + temp1 += tempA * B[k*32 + i+1]; + temp2 += tempA * B[k*32 + i+2]; + temp3 += tempA * B[k*32 + i+3]; + temp4 += tempA * B[k*32 + i+4]; + temp5 += tempA * B[k*32 + i+5]; + temp6 += tempA * B[k*32 + i+6]; + temp7 += tempA * B[k*32 + i+7]; + } + C[i+j*32] = temp0; + C[i+j*32+1] = temp1; + C[i+j*32+2] = temp2; + C[i+j*32+3] = temp3; + C[i+j*32+4] = temp4; + C[i+j*32+5] = temp5; + C[i+j*32+6] = temp6; + C[i+j*32+7] = temp7; + } + } + } else { + for ( i = 16; i < 32; i+=8 ) + { + for ( j = 0; j < 32; j++ ) + { + data_t temp0 = 0; + data_t temp1 = 0; + data_t temp2 = 0; + data_t temp3 = 0; + data_t temp4 = 0; + data_t temp5 = 0; + data_t temp6 = 0; + data_t temp7 = 0; + for ( kk = 0; kk < 32; kk+=8 ) + for ( k = kk; k < kk+8; k++ ) + { + data_t tempA = A[j*32+k]; + temp0 += tempA * B[k*32 + i]; + temp1 += tempA * B[k*32 + i+1]; + temp2 += tempA * B[k*32 + i+2]; + temp3 += tempA * B[k*32 + i+3]; + temp4 += tempA * B[k*32 + i+4]; + temp5 += tempA * B[k*32 + i+5]; + temp6 += tempA * B[k*32 + i+6]; + temp7 += tempA * B[k*32 + i+7]; + } + C[i+j*32] = temp0; + C[i+j*32+1] = temp1; + C[i+j*32+2] = temp2; + C[i+j*32+3] = temp3; + C[i+j*32+4] = temp4; + C[i+j*32+5] = temp5; + C[i+j*32+6] = temp6; + C[i+j*32+7] = temp7; + } + + } + } + */ +} + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + int i, j, k, ii, jj, kk; + if (coreid) { +// for ( ii = 0; ii < 32; ii+=IC ) + for ( kk = 0; kk < 32; kk+=16 ) + for ( j = 0; j < 16; j++ ) +// for ( j = 0; j < 16; j++ ) + { + for ( i = 0; i < 32; i+=8 ) +// for ( i = ii; i < ii + IC && i < 32; i+=8 ) + { + data_t temp0 = C[i+j*32]; + data_t temp1 = C[i+j*32+1]; + data_t temp2 = C[i+j*32+2]; + data_t temp3 = C[i+j*32+3]; + data_t temp4 = C[i+j*32+4]; + data_t temp5 = C[i+j*32+5]; + data_t temp6 = C[i+j*32+6]; + data_t temp7 = C[i+j*32+7]; + for ( k = kk; k < kk+16 && k < 32; k++ ) +// for ( k = 0; k < 32; k++ ) + { + data_t tempA = A[j*32+k]; + temp0 += tempA * B[k*32 + i]; + temp1 += tempA * B[k*32 + i+1]; + temp2 += tempA * B[k*32 + i+2]; + temp3 += tempA * B[k*32 + i+3]; + temp4 += tempA * B[k*32 + i+4]; + temp5 += tempA * B[k*32 + i+5]; + temp6 += tempA * B[k*32 + i+6]; + temp7 += tempA * B[k*32 + i+7]; + } + C[i+j*32] = temp0; + C[i+j*32+1] = temp1; + C[i+j*32+2] = temp2; + C[i+j*32+3] = temp3; + C[i+j*32+4] = temp4; + C[i+j*32+5] = temp5; + C[i+j*32+6] = temp6; + C[i+j*32+7] = temp7; + } + } + } else { +// for ( ii = 0; ii < 32; ii+=IC ) + for ( kk = 0; kk < 32; kk+=16 ) + for ( j = 16; j < 32; j++ ) +// for ( j = 16; j < 32; j++ ) + { + for ( i = 0; i < 32; i+=8 ) +// for ( i = ii; i < ii + IC && i < 32; i+=8 ) + { + data_t temp0 = C[i+j*32]; + data_t temp1 = C[i+j*32+1]; + data_t temp2 = C[i+j*32+2]; + data_t temp3 = C[i+j*32+3]; + data_t temp4 = C[i+j*32+4]; + data_t temp5 = C[i+j*32+5]; + data_t temp6 = C[i+j*32+6]; + data_t temp7 = C[i+j*32+7]; + for ( k = kk; k < kk+16 && k < 32; k++ ) + { + data_t tempA = A[j*32+k]; + temp0 += tempA * B[k*32 + i]; + temp1 += tempA * B[k*32 + i+1]; + temp2 += tempA * B[k*32 + i+2]; + temp3 += tempA * B[k*32 + i+3]; + temp4 += tempA * B[k*32 + i+4]; + temp5 += tempA * B[k*32 + i+5]; + temp6 += tempA * B[k*32 + i+6]; + temp7 += tempA * B[k*32 + i+7]; + } + C[i+j*32] = temp0; + C[i+j*32+1] = temp1; + C[i+j*32+2] = temp2; + C[i+j*32+3] = temp3; + C[i+j*32+4] = temp4; + C[i+j*32+5] = temp5; + C[i+j*32+6] = temp6; + C[i+j*32+7] = temp7; + } + + } + } +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + +// // Execute the provided, naive matmul +// barrier(); +// stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); +// +// +// // verify +// verify(ARRAY_SIZE, results_data, verify_data); +// +// // clear results from the first trial +// size_t i; +// if (coreid == 0) +// for (i=0; i < ARRAY_SIZE; i++) +// results_data[i] = 0; +// barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/bn_matmul/dataset.h b/mt/bn_matmul/dataset.h new file mode 100755 index 0000000..dde3ee4 --- /dev/null +++ b/mt/bn_matmul/dataset.h @@ -0,0 +1,174 @@ + +#define ARRAY_SIZE 1024 + + +#define DIM_SIZE 32 + +static data_t input1_data[ARRAY_SIZE] = +{ + 0, 3, 2, 0, 3, 1, 0, 3, 2, 3, 2, 0, 3, 3, 1, 2, 3, 0, 0, 1, + 1, 1, 2, 3, 1, 2, 3, 1, 1, 3, 2, 2, 0, 1, 3, 2, 2, 2, 0, 0, + 1, 0, 1, 3, 3, 0, 3, 3, 3, 3, 0, 3, 2, 1, 2, 2, 0, 0, 3, 0, + 1, 1, 0, 3, 3, 1, 2, 3, 3, 0, 1, 2, 1, 0, 1, 2, 2, 1, 0, 3, + 1, 0, 2, 2, 1, 1, 1, 1, 1, 1, 2, 0, 3, 1, 1, 2, 2, 3, 3, 1, + 3, 2, 0, 0, 0, 3, 3, 3, 2, 1, 2, 3, 1, 0, 0, 0, 0, 1, 2, 2, + 1, 1, 3, 3, 3, 1, 1, 2, 3, 1, 3, 3, 2, 3, 2, 1, 2, 3, 0, 2, + 2, 1, 1, 0, 0, 0, 0, 0, 1, 3, 3, 1, 1, 1, 2, 2, 3, 2, 1, 1, + 1, 1, 3, 0, 2, 2, 1, 3, 2, 1, 2, 2, 1, 3, 1, 3, 1, 3, 2, 3, + 1, 2, 1, 3, 2, 2, 0, 1, 0, 0, 1, 2, 3, 3, 1, 0, 0, 0, 3, 1, + 2, 3, 2, 3, 2, 0, 0, 0, 0, 0, 3, 1, 3, 0, 0, 0, 3, 1, 1, 1, + 1, 2, 1, 2, 3, 2, 0, 0, 2, 2, 3, 0, 3, 0, 0, 3, 0, 3, 1, 3, + 3, 1, 1, 1, 2, 2, 1, 3, 0, 3, 3, 1, 0, 0, 3, 2, 1, 3, 3, 3, + 1, 0, 1, 1, 2, 1, 0, 1, 1, 2, 2, 3, 1, 2, 2, 2, 0, 1, 3, 3, + 3, 2, 2, 1, 0, 1, 2, 0, 1, 1, 1, 1, 2, 3, 2, 2, 3, 3, 0, 0, + 2, 0, 0, 0, 3, 0, 1, 0, 3, 0, 0, 0, 3, 0, 0, 2, 0, 2, 0, 0, + 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 0, 2, 0, 0, 3, 3, 2, 3, 3, 0, + 1, 0, 2, 2, 0, 3, 3, 1, 1, 0, 2, 3, 2, 1, 1, 0, 1, 2, 1, 2, + 2, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 3, 3, 2, 0, 0, 1, 3, 0, 3, + 3, 0, 0, 0, 0, 3, 3, 1, 0, 0, 3, 3, 2, 1, 2, 1, 3, 3, 0, 1, + 3, 0, 2, 3, 1, 3, 3, 3, 3, 3, 0, 1, 1, 3, 0, 2, 2, 3, 1, 2, + 2, 2, 1, 3, 3, 0, 3, 0, 0, 2, 0, 2, 3, 0, 1, 3, 2, 2, 0, 0, + 2, 3, 0, 2, 2, 2, 3, 1, 0, 3, 3, 3, 3, 1, 0, 3, 3, 2, 0, 3, + 2, 0, 3, 0, 2, 0, 0, 2, 2, 1, 0, 2, 3, 1, 1, 1, 1, 2, 3, 3, + 3, 0, 0, 3, 3, 3, 2, 3, 3, 1, 2, 2, 3, 1, 2, 1, 1, 3, 0, 1, + 2, 0, 2, 0, 0, 1, 3, 2, 0, 1, 3, 2, 3, 3, 0, 0, 0, 1, 0, 3, + 3, 2, 2, 2, 1, 1, 2, 2, 1, 3, 2, 0, 1, 3, 2, 0, 2, 1, 3, 0, + 0, 0, 1, 3, 3, 2, 2, 2, 3, 1, 0, 0, 1, 1, 2, 1, 3, 1, 1, 2, + 2, 3, 2, 3, 0, 2, 3, 3, 0, 3, 0, 0, 1, 0, 0, 0, 1, 3, 1, 1, + 2, 3, 2, 1, 1, 2, 2, 2, 3, 0, 1, 1, 2, 1, 2, 0, 2, 3, 1, 3, + 0, 1, 1, 3, 0, 2, 3, 0, 1, 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 2, + 3, 0, 1, 1, 1, 1, 2, 0, 1, 2, 0, 1, 1, 1, 0, 1, 3, 2, 3, 1, + 0, 2, 1, 2, 1, 3, 3, 1, 0, 2, 2, 3, 1, 3, 1, 3, 0, 1, 0, 3, + 0, 3, 2, 0, 3, 3, 3, 0, 3, 2, 2, 2, 1, 3, 0, 0, 1, 1, 3, 0, + 1, 2, 1, 0, 0, 0, 3, 2, 2, 0, 0, 2, 1, 3, 0, 0, 3, 0, 0, 2, + 1, 1, 2, 2, 1, 3, 2, 2, 1, 1, 2, 1, 3, 2, 1, 1, 3, 0, 1, 3, + 3, 2, 2, 1, 0, 3, 2, 2, 2, 3, 0, 1, 3, 3, 2, 3, 0, 3, 2, 3, + 1, 1, 0, 0, 0, 2, 3, 0, 3, 0, 1, 1, 3, 1, 3, 2, 1, 1, 2, 1, + 3, 2, 0, 2, 1, 0, 2, 3, 2, 3, 2, 1, 2, 3, 0, 0, 1, 1, 0, 0, + 2, 1, 0, 1, 2, 2, 2, 2, 0, 3, 3, 1, 0, 0, 0, 0, 3, 1, 1, 0, + 0, 0, 0, 1, 2, 2, 1, 3, 0, 2, 3, 2, 3, 2, 2, 1, 2, 2, 3, 3, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 2, 2, 3, 1, 1, 1, 0, 0, 0, 3, 0, + 1, 0, 3, 1, 1, 3, 0, 1, 2, 2, 0, 0, 3, 3, 3, 3, 2, 1, 0, 0, + 1, 0, 2, 0, 1, 1, 0, 0, 3, 3, 2, 1, 1, 1, 0, 1, 1, 2, 2, 1, + 1, 2, 0, 3, 1, 3, 1, 0, 3, 0, 3, 1, 1, 1, 0, 2, 0, 3, 1, 0, + 1, 0, 2, 0, 2, 3, 3, 3, 1, 2, 3, 2, 2, 0, 1, 1, 0, 3, 3, 1, + 3, 3, 2, 0, 2, 0, 2, 2, 3, 3, 3, 0, 2, 3, 3, 1, 3, 2, 2, 2, + 0, 2, 3, 0, 2, 0, 3, 2, 2, 1, 1, 0, 2, 2, 2, 0, 2, 2, 0, 1, + 3, 2, 1, 3, 2, 2, 0, 3, 3, 1, 2, 2, 0, 0, 3, 2, 1, 2, 2, 1, + 3, 1, 2, 0, 0, 1, 1, 2, 1, 3, 2, 2, 3, 0, 2, 1, 3, 2, 1, 3, + 2, 3, 3, 1, 2, 1, 2, 2, 0, 0, 0, 3, 0, 2, 3, 1, 0, 0, 2, 3, + 3, 2, 2, 1 +}; + +static data_t input2_data[ARRAY_SIZE] = +{ + 1, 1, 0, 3, 1, 2, 0, 0, 0, 0, 0, 2, 1, 2, 3, 0, 0, 3, 3, 2, + 2, 1, 2, 3, 3, 0, 2, 2, 1, 1, 2, 2, 0, 2, 2, 1, 2, 3, 2, 2, + 3, 3, 2, 2, 1, 1, 1, 1, 2, 1, 2, 2, 3, 3, 3, 0, 0, 3, 2, 3, + 2, 3, 1, 2, 1, 1, 2, 2, 0, 1, 0, 3, 2, 1, 1, 1, 2, 0, 1, 2, + 2, 0, 2, 1, 3, 3, 2, 3, 2, 0, 3, 1, 3, 3, 2, 0, 1, 0, 1, 1, + 2, 2, 1, 1, 2, 2, 1, 2, 3, 3, 1, 3, 2, 2, 2, 3, 3, 1, 0, 2, + 1, 0, 0, 0, 1, 1, 2, 0, 3, 2, 3, 3, 0, 2, 3, 1, 0, 0, 2, 1, + 2, 0, 2, 1, 1, 2, 3, 1, 3, 2, 1, 0, 0, 0, 0, 0, 2, 2, 0, 2, + 1, 2, 0, 3, 2, 2, 0, 0, 3, 2, 1, 1, 3, 0, 2, 0, 0, 1, 0, 2, + 3, 3, 1, 3, 3, 0, 0, 2, 2, 0, 0, 0, 1, 0, 0, 1, 3, 0, 2, 1, + 3, 2, 2, 1, 3, 2, 0, 1, 2, 2, 3, 2, 1, 1, 1, 1, 3, 0, 1, 3, + 2, 2, 3, 1, 1, 2, 0, 2, 1, 1, 2, 3, 1, 0, 1, 0, 1, 1, 0, 0, + 2, 0, 3, 0, 3, 0, 3, 2, 2, 3, 3, 2, 1, 0, 2, 2, 1, 1, 0, 3, + 3, 2, 2, 0, 0, 3, 0, 1, 0, 0, 1, 2, 0, 1, 3, 0, 1, 2, 2, 0, + 0, 3, 0, 3, 0, 1, 1, 2, 0, 0, 0, 3, 0, 0, 2, 1, 1, 1, 0, 2, + 1, 3, 1, 2, 0, 3, 0, 3, 1, 3, 0, 0, 2, 2, 2, 2, 3, 3, 2, 1, + 2, 2, 1, 1, 2, 2, 2, 2, 0, 3, 0, 0, 2, 0, 1, 2, 0, 3, 2, 3, + 2, 0, 2, 1, 2, 1, 0, 2, 1, 1, 3, 2, 2, 3, 1, 0, 3, 3, 1, 0, + 3, 2, 2, 0, 0, 3, 0, 0, 2, 0, 3, 2, 3, 1, 1, 0, 0, 2, 3, 0, + 0, 1, 1, 1, 2, 1, 3, 2, 1, 3, 0, 1, 3, 3, 1, 1, 1, 1, 1, 1, + 0, 0, 2, 3, 2, 2, 2, 3, 2, 3, 1, 2, 3, 2, 2, 2, 0, 1, 3, 0, + 1, 1, 0, 1, 0, 1, 1, 3, 3, 1, 2, 2, 3, 2, 0, 2, 2, 0, 1, 3, + 0, 1, 3, 2, 1, 3, 3, 2, 0, 1, 3, 2, 0, 2, 1, 1, 0, 3, 0, 1, + 1, 1, 1, 1, 3, 0, 0, 1, 0, 2, 3, 1, 3, 0, 2, 1, 3, 0, 3, 0, + 3, 2, 2, 0, 0, 2, 1, 3, 3, 2, 3, 2, 2, 1, 2, 2, 3, 0, 3, 2, + 2, 0, 3, 2, 3, 2, 0, 0, 1, 2, 0, 0, 2, 0, 0, 3, 3, 2, 0, 0, + 3, 3, 0, 2, 3, 1, 0, 1, 0, 2, 1, 0, 2, 1, 0, 1, 0, 3, 0, 2, + 2, 3, 0, 0, 2, 1, 0, 1, 0, 0, 0, 2, 2, 3, 2, 0, 3, 3, 2, 1, + 0, 0, 3, 1, 2, 3, 3, 1, 0, 3, 1, 1, 0, 3, 3, 3, 2, 2, 2, 0, + 1, 2, 0, 3, 0, 1, 0, 1, 1, 0, 1, 2, 0, 3, 2, 0, 1, 2, 2, 0, + 2, 0, 0, 1, 0, 3, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 1, 1, 1, 0, + 2, 1, 1, 3, 2, 0, 2, 1, 1, 0, 2, 2, 1, 3, 0, 2, 1, 0, 1, 2, + 0, 1, 3, 2, 3, 2, 1, 0, 2, 0, 2, 2, 3, 1, 1, 3, 2, 3, 2, 2, + 0, 2, 0, 0, 0, 3, 2, 0, 2, 2, 3, 3, 3, 2, 1, 2, 0, 0, 3, 0, + 2, 0, 3, 2, 2, 3, 0, 3, 2, 1, 2, 2, 1, 2, 0, 0, 3, 1, 2, 0, + 2, 3, 2, 2, 1, 1, 1, 3, 3, 3, 3, 3, 1, 3, 0, 1, 3, 2, 2, 1, + 0, 1, 1, 2, 1, 2, 3, 1, 2, 2, 1, 2, 1, 1, 0, 3, 3, 1, 1, 3, + 2, 0, 0, 1, 2, 0, 1, 3, 1, 0, 0, 2, 2, 3, 3, 0, 2, 3, 2, 1, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 3, 3, 3, 1, 3, 0, 3, 1, 1, 2, 2, + 2, 1, 0, 3, 2, 3, 0, 2, 3, 2, 3, 1, 2, 3, 3, 1, 2, 1, 0, 0, + 0, 3, 3, 3, 3, 0, 3, 3, 3, 3, 2, 1, 0, 3, 0, 3, 2, 3, 1, 0, + 0, 1, 3, 1, 0, 2, 2, 3, 1, 0, 2, 1, 1, 3, 1, 1, 3, 1, 2, 1, + 0, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 3, 3, 1, 0, 3, 1, 1, 2, 0, + 0, 0, 2, 3, 3, 2, 2, 3, 0, 2, 3, 1, 3, 3, 0, 2, 1, 2, 2, 2, + 1, 0, 1, 3, 2, 3, 1, 1, 2, 1, 1, 0, 0, 2, 3, 2, 1, 0, 3, 1, + 3, 0, 1, 1, 2, 2, 1, 3, 3, 1, 1, 0, 0, 3, 3, 0, 0, 0, 0, 0, + 3, 1, 3, 0, 0, 0, 3, 3, 2, 1, 3, 0, 1, 3, 1, 1, 1, 0, 1, 0, + 1, 2, 2, 2, 3, 3, 0, 2, 3, 2, 1, 3, 3, 1, 1, 3, 0, 3, 3, 2, + 1, 1, 2, 0, 3, 0, 1, 2, 1, 1, 0, 0, 1, 2, 2, 0, 3, 1, 1, 1, + 3, 3, 3, 1, 0, 3, 3, 2, 2, 2, 1, 2, 0, 1, 1, 3, 0, 3, 1, 0, + 2, 2, 0, 1, 2, 3, 2, 1, 2, 0, 3, 2, 1, 3, 0, 1, 2, 0, 3, 0, + 1, 1, 2, 1 +}; + +static data_t verify_data[ARRAY_SIZE] = +{ + 72, 75, 88, 101, 80, 88, 73, 75, 80, 81, 58, 75, 86, 65, 60, 80, 84, 83, 87, 83, + 108, 93, 85, 76, 72, 98, 79, 86, 80, 96, 91, 85, 72, 64, 70, 83, 68, 92, 51, 54, + 85, 85, 60, 58, 90, 64, 55, 69, 72, 48, 94, 77, 91, 83, 70, 69, 67, 77, 59, 50, + 67, 74, 77, 67, 67, 62, 72, 71, 68, 79, 54, 61, 67, 61, 55, 62, 78, 60, 53, 64, + 67, 69, 99, 68, 88, 60, 66, 63, 70, 62, 65, 50, 53, 66, 70, 72, 75, 78, 85, 95, + 71, 89, 70, 68, 86, 88, 58, 77, 84, 70, 65, 68, 73, 75, 91, 96, 105, 92, 76, 68, + 86, 69, 80, 59, 73, 83, 88, 75, 64, 63, 71, 99, 77, 77, 69, 55, 80, 73, 54, 73, + 87, 78, 60, 69, 65, 78, 86, 89, 95, 92, 63, 69, 89, 61, 80, 65, 70, 77, 89, 77, + 79, 79, 73, 92, 64, 81, 60, 78, 81, 80, 61, 63, 89, 65, 56, 83, 77, 65, 102, 70, + 98, 86, 96, 68, 72, 89, 73, 73, 70, 89, 84, 76, 48, 61, 63, 70, 70, 79, 50, 53, + 64, 63, 43, 51, 59, 62, 43, 63, 55, 77, 79, 74, 75, 74, 64, 44, 65, 69, 72, 66, + 54, 71, 74, 72, 69, 76, 68, 89, 94, 75, 65, 53, 85, 79, 65, 74, 82, 73, 58, 70, + 84, 77, 99, 72, 92, 84, 78, 62, 59, 83, 71, 74, 63, 85, 80, 78, 71, 72, 79, 83, + 73, 82, 60, 85, 76, 82, 60, 70, 82, 68, 54, 85, 84, 70, 86, 74, 100, 88, 98, 68, + 67, 87, 69, 73, 68, 88, 76, 71, 47, 43, 47, 80, 54, 65, 40, 37, 59, 53, 33, 48, + 62, 40, 36, 55, 36, 62, 53, 57, 70, 69, 45, 43, 53, 61, 42, 57, 56, 63, 51, 47, + 59, 75, 64, 89, 83, 75, 59, 75, 91, 92, 58, 64, 83, 74, 58, 60, 76, 66, 97, 69, + 90, 95, 92, 64, 78, 75, 77, 73, 65, 78, 82, 75, 47, 54, 59, 71, 59, 56, 53, 42, + 60, 55, 40, 51, 60, 46, 36, 59, 46, 57, 67, 43, 51, 53, 53, 38, 54, 56, 55, 48, + 41, 46, 63, 63, 80, 77, 89, 102, 89, 98, 74, 86, 98, 93, 63, 76, 98, 77, 48, 101, + 86, 88, 100, 82, 102, 90, 95, 75, 86, 103, 83, 98, 80, 104, 98, 86, 71, 74, 80, 90, + 86, 87, 73, 70, 81, 83, 55, 66, 90, 66, 58, 84, 77, 84, 93, 72, 99, 75, 85, 65, + 70, 89, 71, 82, 64, 79, 82, 80, 67, 73, 86, 101, 78, 97, 66, 64, 84, 80, 55, 64, + 79, 73, 51, 79, 89, 68, 94, 77, 109, 102, 82, 61, 66, 93, 88, 70, 82, 82, 85, 69, + 69, 72, 66, 97, 85, 90, 70, 59, 76, 89, 53, 56, 90, 79, 71, 64, 70, 67, 100, 92, + 106, 89, 83, 78, 73, 80, 70, 72, 65, 70, 92, 88, 57, 76, 55, 85, 66, 80, 61, 63, + 63, 78, 54, 58, 71, 73, 54, 63, 63, 62, 89, 76, 86, 81, 83, 54, 70, 81, 78, 64, + 56, 72, 74, 81, 75, 63, 68, 89, 65, 77, 58, 68, 75, 83, 52, 62, 82, 63, 55, 75, + 51, 70, 95, 66, 83, 77, 86, 61, 64, 77, 48, 70, 66, 82, 72, 75, 79, 71, 72, 89, + 78, 78, 66, 59, 91, 80, 55, 64, 79, 68, 54, 71, 67, 75, 87, 84, 100, 101, 76, 58, + 74, 82, 61, 74, 75, 97, 85, 79, 61, 55, 69, 68, 72, 65, 52, 64, 80, 73, 48, 54, + 71, 66, 42, 61, 66, 63, 92, 64, 85, 77, 73, 54, 74, 73, 76, 66, 62, 79, 85, 70, + 71, 84, 87, 81, 88, 86, 77, 77, 93, 88, 78, 71, 101, 89, 58, 84, 95, 81, 89, 97, + 104, 79, 83, 76, 90, 81, 91, 74, 70, 76, 91, 80, 51, 48, 56, 69, 47, 63, 54, 42, + 63, 63, 42, 52, 66, 56, 39, 59, 61, 52, 59, 63, 62, 68, 57, 35, 67, 58, 56, 52, + 61, 63, 60, 47, 85, 75, 89, 106, 88, 95, 74, 82, 107, 107, 64, 78, 98, 90, 62, 91, + 79, 87, 111, 84, 104, 106, 96, 68, 94, 99, 81, 89, 79, 105, 95, 86, 65, 63, 77, 89, + 66, 88, 56, 73, 82, 92, 41, 62, 85, 66, 50, 81, 57, 71, 77, 78, 86, 89, 77, 53, + 67, 78, 61, 63, 72, 82, 69, 66, 59, 46, 55, 70, 56, 64, 45, 50, 65, 64, 42, 56, + 78, 49, 51, 52, 38, 56, 72, 55, 73, 72, 61, 50, 63, 60, 47, 57, 55, 73, 53, 68, + 85, 88, 91, 96, 82, 89, 73, 76, 87, 86, 67, 69, 96, 84, 57, 89, 87, 89, 99, 88, + 104, 90, 85, 75, 88, 92, 85, 75, 74, 87, 103, 94, 55, 48, 56, 65, 72, 50, 45, 51, + 63, 62, 47, 57, 79, 53, 36, 63, 54, 68, 71, 59, 63, 61, 63, 41, 50, 73, 57, 59, + 56, 76, 73, 65, 61, 64, 61, 79, 53, 73, 57, 44, 61, 59, 59, 56, 81, 59, 49, 62, + 65, 55, 69, 72, 79, 70, 58, 57, 68, 61, 62, 50, 57, 60, 66, 66, 63, 77, 81, 89, + 85, 81, 76, 73, 78, 95, 59, 70, 81, 77, 46, 79, 78, 79, 83, 81, 84, 82, 85, 48, + 74, 85, 85, 74, 74, 80, 80, 74, 60, 76, 80, 97, 88, 93, 66, 66, 73, 84, 56, 70, + 90, 63, 58, 78, 73, 93, 90, 78, 94, 88, 82, 67, 85, 70, 81, 86, 74, 82, 88, 82, + 68, 73, 75, 91, 78, 97, 71, 66, 74, 85, 50, 59, 86, 77, 70, 74, 75, 74, 99, 82, + 99, 91, 86, 65, 80, 77, 72, 69, 60, 78, 90, 87, 79, 69, 74, 98, 70, 86, 81, 67, + 69, 78, 48, 65, 88, 70, 70, 70, 69, 72, 96, 90, 99, 82, 81, 76, 98, 73, 74, 71, + 69, 73, 94, 89 +}; + diff --git a/mt/bn_matmul/matmul_gendata.pl b/mt/bn_matmul/matmul_gendata.pl new file mode 100755 index 0000000..f21bb46 --- /dev/null +++ b/mt/bn_matmul/matmul_gendata.pl @@ -0,0 +1,200 @@ +#!/usr/bin/perl -w +#========================================================================== +# matmul_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the matmul benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: matmul_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[ARRAY_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3d",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + + + +#-------------------------------------------------------------------------- +# Matmul +#-------------------------------------------------------------------------- + +# http://answers.oreilly.com/topic/418-how-to-multiply-matrices-in-perl/ + +sub mmult { + my ($m1,$m2) = @_; + my ($m1rows,$m1cols) = matdim($m1); + my ($m2rows,$m2cols) = matdim($m2); + + my $result = [ ]; + my ($i, $j, $k); + + for $i (range($m1rows)) { + for $j (range($m2cols)) { + for $k (range($m1cols)) { + $result->[$i][$j] += $m1->[$i][$k] * $m2->[$k][$j]; + } + } + } + return $result; +} + +sub range { 0 .. ($_[0] - 1) } + + +sub veclen { + my $ary_ref = $_[0]; + my $type = ref $ary_ref; + if ($type ne "ARRAY") { die "$type is bad array ref for $ary_ref" } + return scalar(@$ary_ref); +} + +sub matdim { + my $matrix = $_[0]; + my $rows = veclen($matrix); + my $cols = veclen($matrix->[0]); + return ($rows, $cols); +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + # create random input arrays + my $mat_values1; + my $mat_values2; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + $mat_values1->[$i][$j] = int(rand(4)); + $mat_values2->[$i][$j] = int(rand(4)); + } + } + + # perform matmul + my $mat_results = mmult( $mat_values1, $mat_values2 ); + + # translate 2d arrays to 1d-somethings (I don't know how to code in perl - Chris) + my @values1; + my @values2; + my @results; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + my $value1 = $mat_values1->[$i][$j]; + my $value2 = $mat_values2->[$i][$j]; + my $result = $mat_results->[$i][$j]; + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @results, $result ); + } + } + + print "\n\#define ARRAY_SIZE ".($opts{"size"}*$opts{"size"})." \n\n"; + print "\n\#define DIM_SIZE ".$opts{"size"}." \n\n"; + + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@results); + +} + +main(); + diff --git a/mt/bn_matmul/matmul_mi.c b/mt/bn_matmul/matmul_mi.c new file mode 100644 index 0000000..b1c0a39 --- /dev/null +++ b/mt/bn_matmul/matmul_mi.c @@ -0,0 +1,370 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ +///* + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } +//*/ + /* + int i, j, k, kk; + if (coreid) { + for ( i = 0; i < 16; i+=8 ) + { + for ( j = 0; j < 32; j++ ) + { + data_t temp0 = 0; + data_t temp1 = 0; + data_t temp2 = 0; + data_t temp3 = 0; + data_t temp4 = 0; + data_t temp5 = 0; + data_t temp6 = 0; + data_t temp7 = 0; + for ( kk = 0; kk < 32; kk+=8 ) + for ( k = kk; k < kk+8; k++ ) +// for ( k = 0; k < 32; k++ ) + { + data_t tempA = A[j*32+k]; + temp0 += tempA * B[k*32 + i]; + temp1 += tempA * B[k*32 + i+1]; + temp2 += tempA * B[k*32 + i+2]; + temp3 += tempA * B[k*32 + i+3]; + temp4 += tempA * B[k*32 + i+4]; + temp5 += tempA * B[k*32 + i+5]; + temp6 += tempA * B[k*32 + i+6]; + temp7 += tempA * B[k*32 + i+7]; + } + C[i+j*32] = temp0; + C[i+j*32+1] = temp1; + C[i+j*32+2] = temp2; + C[i+j*32+3] = temp3; + C[i+j*32+4] = temp4; + C[i+j*32+5] = temp5; + C[i+j*32+6] = temp6; + C[i+j*32+7] = temp7; + } + } + } else { + for ( i = 16; i < 32; i+=8 ) + { + for ( j = 0; j < 32; j++ ) + { + data_t temp0 = 0; + data_t temp1 = 0; + data_t temp2 = 0; + data_t temp3 = 0; + data_t temp4 = 0; + data_t temp5 = 0; + data_t temp6 = 0; + data_t temp7 = 0; + for ( kk = 0; kk < 32; kk+=8 ) + for ( k = kk; k < kk+8; k++ ) + { + data_t tempA = A[j*32+k]; + temp0 += tempA * B[k*32 + i]; + temp1 += tempA * B[k*32 + i+1]; + temp2 += tempA * B[k*32 + i+2]; + temp3 += tempA * B[k*32 + i+3]; + temp4 += tempA * B[k*32 + i+4]; + temp5 += tempA * B[k*32 + i+5]; + temp6 += tempA * B[k*32 + i+6]; + temp7 += tempA * B[k*32 + i+7]; + } + C[i+j*32] = temp0; + C[i+j*32+1] = temp1; + C[i+j*32+2] = temp2; + C[i+j*32+3] = temp3; + C[i+j*32+4] = temp4; + C[i+j*32+5] = temp5; + C[i+j*32+6] = temp6; + C[i+j*32+7] = temp7; + } + + } + } + */ +} + + +#define KC 16 +#define IC 16 +#define JC 16 +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + int i, j, k, ii, jj, kk; + if (coreid) { +// for ( ii = 0; ii < 32; ii+=IC ) + for ( jj = 0; jj < 16; jj+=16 ) + for ( kk = 0; kk < 32; kk+=16 ) + for ( j = jj; j < jj+16 && j < 16; j++ ) +// for ( j = 0; j < 16; j++ ) + { + for ( i = 0; i < 32; i+=8 ) +// for ( i = ii; i < ii + IC && i < 32; i+=8 ) + { + data_t temp0 = C[i+j*32]; + data_t temp1 = C[i+j*32+1]; + data_t temp2 = C[i+j*32+2]; + data_t temp3 = C[i+j*32+3]; + data_t temp4 = C[i+j*32+4]; + data_t temp5 = C[i+j*32+5]; + data_t temp6 = C[i+j*32+6]; + data_t temp7 = C[i+j*32+7]; + for ( k = kk; k < kk+16 && k < 32; k++ ) +// for ( k = 0; k < 32; k++ ) + { + data_t tempA = A[j*32+k]; + temp0 += tempA * B[k*32 + i]; + temp1 += tempA * B[k*32 + i+1]; + temp2 += tempA * B[k*32 + i+2]; + temp3 += tempA * B[k*32 + i+3]; + temp4 += tempA * B[k*32 + i+4]; + temp5 += tempA * B[k*32 + i+5]; + temp6 += tempA * B[k*32 + i+6]; + temp7 += tempA * B[k*32 + i+7]; + } + C[i+j*32] = temp0; + C[i+j*32+1] = temp1; + C[i+j*32+2] = temp2; + C[i+j*32+3] = temp3; + C[i+j*32+4] = temp4; + C[i+j*32+5] = temp5; + C[i+j*32+6] = temp6; + C[i+j*32+7] = temp7; + } + } + } else { +// for ( ii = 0; ii < 32; ii+=IC ) + for ( jj = 16; jj < 32; jj+= 16 ) { + for ( kk = 16; kk < 32; kk+=16 ) + for ( j = jj; j < jj+16 && j < 32; j++ ) +// for ( j = 16; j < 32; j++ ) + { + for ( i = 0; i < 32; i+=8 ) +// for ( i = ii; i < ii + IC && i < 32; i+=8 ) + { + data_t temp0 = C[i+j*32]; + data_t temp1 = C[i+j*32+1]; + data_t temp2 = C[i+j*32+2]; + data_t temp3 = C[i+j*32+3]; + data_t temp4 = C[i+j*32+4]; + data_t temp5 = C[i+j*32+5]; + data_t temp6 = C[i+j*32+6]; + data_t temp7 = C[i+j*32+7]; + for ( k = kk; k < kk+16 && k < 32; k++ ) + { + data_t tempA = A[j*32+k]; + temp0 += tempA * B[k*32 + i]; + temp1 += tempA * B[k*32 + i+1]; + temp2 += tempA * B[k*32 + i+2]; + temp3 += tempA * B[k*32 + i+3]; + temp4 += tempA * B[k*32 + i+4]; + temp5 += tempA * B[k*32 + i+5]; + temp6 += tempA * B[k*32 + i+6]; + temp7 += tempA * B[k*32 + i+7]; + } + C[i+j*32] = temp0; + C[i+j*32+1] = temp1; + C[i+j*32+2] = temp2; + C[i+j*32+3] = temp3; + C[i+j*32+4] = temp4; + C[i+j*32+5] = temp5; + C[i+j*32+6] = temp6; + C[i+j*32+7] = temp7; + } + + } + for ( kk = 0; kk < 16; kk+=16 ) + for ( j = jj; j < jj+16 && j < 32; j++ ) +// for ( j = 16; j < 32; j++ ) + { + for ( i = 0; i < 32; i+=8 ) +// for ( i = ii; i < ii + IC && i < 32; i+=8 ) + { + data_t temp0 = C[i+j*32]; + data_t temp1 = C[i+j*32+1]; + data_t temp2 = C[i+j*32+2]; + data_t temp3 = C[i+j*32+3]; + data_t temp4 = C[i+j*32+4]; + data_t temp5 = C[i+j*32+5]; + data_t temp6 = C[i+j*32+6]; + data_t temp7 = C[i+j*32+7]; + for ( k = kk; k < kk+16 && k < 32; k++ ) + { + data_t tempA = A[j*32+k]; + temp0 += tempA * B[k*32 + i]; + temp1 += tempA * B[k*32 + i+1]; + temp2 += tempA * B[k*32 + i+2]; + temp3 += tempA * B[k*32 + i+3]; + temp4 += tempA * B[k*32 + i+4]; + temp5 += tempA * B[k*32 + i+5]; + temp6 += tempA * B[k*32 + i+6]; + temp7 += tempA * B[k*32 + i+7]; + } + C[i+j*32] = temp0; + C[i+j*32+1] = temp1; + C[i+j*32+2] = temp2; + C[i+j*32+3] = temp3; + C[i+j*32+4] = temp4; + C[i+j*32+5] = temp5; + C[i+j*32+6] = temp6; + C[i+j*32+7] = temp7; + } + + } + } + } +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + +// // Execute the provided, naive matmul +// barrier(); +// stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); +// +// +// // verify +// verify(ARRAY_SIZE, results_data, verify_data); +// +// // clear results from the first trial +// size_t i; +// if (coreid == 0) +// for (i=0; i < ARRAY_SIZE; i++) +// results_data[i] = 0; +// barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/bn_vvadd/bn_vvadd.c b/mt/bn_vvadd/bn_vvadd.c new file mode 100755 index 0000000..143d437 --- /dev/null +++ b/mt/bn_vvadd/bn_vvadd.c @@ -0,0 +1,171 @@ +//**************************************************************************
+// Vector-vector add benchmark
+//--------------------------------------------------------------------------
+// Author : Andrew Waterman
+// TA : Christopher Celio
+// Student :
+//
+// This benchmark adds two vectors and writes the results to a
+// third vector. The input data (and reference data) should be
+// generated using the vvadd_gendata.pl perl script and dumped
+// to a file named dataset.h
+
+// to print out arrays, etc.
+//#define DEBUG
+
+//--------------------------------------------------------------------------
+// Includes
+
+#include <string.h>
+#include <stdlib.h>
+#include <stdio.h>
+
+
+//--------------------------------------------------------------------------
+// Input/Reference Data
+
+typedef float data_t;
+#include "dataset.h"
+
+
+//--------------------------------------------------------------------------
+// Basic Utilities and Multi-thread Support
+
+__thread unsigned long coreid;
+unsigned long ncores;
+
+#include "util.h"
+
+#define stringify_1(s) #s
+#define stringify(s) stringify_1(s)
+#define stats(code) do { \
+ unsigned long _c = -rdcycle(), _i = -rdinstret(); \
+ code; \
+ _c += rdcycle(), _i += rdinstret(); \
+ if (coreid == 0) \
+ printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \
+ stringify(code), _c, _c/DATA_SIZE, 10*_c/DATA_SIZE%10, _c/_i, 10*_c/_i%10); \
+ } while(0)
+
+
+//--------------------------------------------------------------------------
+// Helper functions
+
+void printArray( char name[], int n, data_t arr[] )
+{
+ int i;
+ if (coreid != 0)
+ return;
+
+ printf( " %10s :", name );
+ for ( i = 0; i < n; i++ )
+ printf( " %4ld ", (long) arr[i] );
+ printf( "\n" );
+}
+
+void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct)
+{
+ if (coreid != 0)
+ return;
+
+ size_t i;
+ for (i = 0; i < n; i++)
+ {
+ if (test[i] != correct[i])
+ {
+ printf("FAILED test[%d]= %4ld, correct[%d]= %4ld\n",
+ i, (long) test[i], i, (long)correct[i]);
+ exit(-1);
+ }
+ }
+
+ return;
+}
+
+//--------------------------------------------------------------------------
+// vvadd function
+
+//perform in-place vvadd
+void __attribute__((noinline)) vvadd(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y)
+{
+ size_t i;
+
+ // interleave accesses
+ for (i = coreid; i < n; i+=ncores)
+ {
+ x[i] = x[i] + y[i];
+ }
+}
+
+void __attribute__((noinline)) vvadd_opt(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y)
+{
+ // ***************************** //
+ // **** ADD YOUR CODE HERE ***** //
+ // ***************************** //
+ size_t i;
+
+ for (i = coreid*(n/ncores); i<(coreid+1)*n/ncores; i++)
+ {
+ x[i] = x[i] + y[i];
+ }
+}
+
+//--------------------------------------------------------------------------
+// Main
+//
+// all threads start executing thread_entry(). Use their "coreid" to
+// differentiate between threads (each thread is running on a separate core).
+
+void thread_entry(int cid, int nc)
+{
+ coreid = cid;
+ ncores = nc;
+
+ // static allocates data in the binary, which is visible to both threads
+ static data_t results_data[DATA_SIZE];
+
+ // because we're going to perform an in-place vvadd (and we're going to run
+ // it a couple of times) let's copy the input data to a temporary results
+ // array
+
+ size_t i;
+ if (coreid == 0)
+ {
+ for (i = 0; i < DATA_SIZE; i++)
+ results_data[i] = input1_data[i];
+ }
+
+
+ // Execute the provided, terrible vvadd
+ barrier();
+ stats(vvadd(DATA_SIZE, results_data, input2_data); barrier());
+
+
+ // verify
+ verify(DATA_SIZE, results_data, verify_data);
+
+ // reset results from the first trial
+ if (coreid == 0)
+ {
+ for (i=0; i < DATA_SIZE; i++)
+ results_data[i] = input1_data[i];
+ }
+ barrier();
+
+
+ // Execute your faster vvadd
+ barrier();
+ stats(vvadd_opt(DATA_SIZE, results_data, input2_data); barrier());
+
+#ifdef DEBUG
+ printArray("results: ", DATA_SIZE, results_data);
+ printArray("verify : ", DATA_SIZE, verify_data);
+#endif
+
+ // verify
+ verify(DATA_SIZE, results_data, verify_data);
+ barrier();
+
+ exit(0);
+}
+
diff --git a/mt/bn_vvadd/dataset.h b/mt/bn_vvadd/dataset.h new file mode 100755 index 0000000..ce9f936 --- /dev/null +++ b/mt/bn_vvadd/dataset.h @@ -0,0 +1,165 @@ + +#define DATA_SIZE 1000 + +static data_t input1_data[DATA_SIZE] = +{ + 0.00, 15.00, 10.00, 3.00, 14.00, 6.00, 2.00, 18.00, 11.00, 15.00, 11.00, 0.00, 17.00, 16.00, 7.00, 13.00, 18.00, 2.00, 2.00, 5.00, + 8.00, 5.00, 12.00, 14.00, 6.00, 12.00, 16.00, 7.00, 9.00, 17.00, 10.00, 10.00, 3.00, 5.00, 14.00, 11.00, 9.00, 12.00, 3.00, 1.00, + 5.00, 4.00, 6.00, 17.00, 17.00, 4.00, 17.00, 15.00, 17.00, 18.00, 3.00, 18.00, 10.00, 6.00, 12.00, 12.00, 3.00, 2.00, 16.00, 1.00, + 5.00, 6.00, 2.00, 17.00, 16.00, 5.00, 10.00, 18.00, 14.00, 4.00, 9.00, 9.00, 7.00, 4.00, 8.00, 13.00, 12.00, 6.00, 4.00, 17.00, + 5.00, 2.00, 11.00, 11.00, 7.00, 6.00, 8.00, 5.00, 6.00, 6.00, 11.00, 1.00, 18.00, 7.00, 6.00, 9.00, 10.00, 17.00, 14.00, 4.00, + 14.00, 11.00, 2.00, 0.00, 2.00, 17.00, 17.00, 15.00, 10.00, 8.00, 12.00, 18.00, 5.00, 0.00, 0.00, 1.00, 1.00, 8.00, 11.00, 11.00, + 7.00, 5.00, 15.00, 18.00, 15.00, 6.00, 8.00, 9.00, 18.00, 6.00, 15.00, 16.00, 10.00, 18.00, 13.00, 6.00, 10.00, 16.00, 0.00, 10.00, + 12.00, 8.00, 8.00, 3.00, 0.00, 1.00, 4.00, 0.00, 8.00, 15.00, 16.00, 9.00, 7.00, 7.00, 10.00, 9.00, 16.00, 12.00, 5.00, 5.00, + 9.00, 5.00, 17.00, 4.00, 13.00, 13.00, 4.00, 14.00, 10.00, 5.00, 10.00, 10.00, 6.00, 18.00, 5.00, 15.00, 5.00, 15.00, 13.00, 18.00, + 6.00, 13.00, 5.00, 18.00, 12.00, 14.00, 1.00, 7.00, 2.00, 1.00, 7.00, 12.00, 15.00, 15.00, 6.00, 2.00, 1.00, 2.00, 18.00, 6.00, + 10.00, 14.00, 9.00, 15.00, 11.00, 0.00, 3.00, 1.00, 2.00, 2.00, 14.00, 7.00, 18.00, 0.00, 2.00, 2.00, 16.00, 8.00, 4.00, 5.00, + 7.00, 11.00, 7.00, 10.00, 14.00, 10.00, 3.00, 0.00, 13.00, 9.00, 14.00, 0.00, 14.00, 1.00, 3.00, 16.00, 2.00, 14.00, 6.00, 17.00, + 17.00, 6.00, 9.00, 8.00, 9.00, 12.00, 5.00, 14.00, 2.00, 16.00, 17.00, 5.00, 4.00, 0.00, 14.00, 10.00, 6.00, 15.00, 15.00, 14.00, + 5.00, 1.00, 8.00, 8.00, 13.00, 8.00, 0.00, 4.00, 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30.00, 7.00, 16.00, 33.00, 20.00, 14.00, 23.00, 14.00, 20.00, 14.00, + 7.00, 25.00, 24.00, 12.00, 29.00, 16.00, 17.00, 20.00, 29.00, 16.00, 13.00, 18.00, 26.00, 18.00, 18.00, 17.00, 13.00, 29.00, 14.00, 17.00, + 24.00, 16.00, 21.00, 14.00, 26.00, 9.00, 11.00, 28.00, 25.00, 15.00, 15.00, 12.00, 6.00, 14.00, 27.00, 14.00, 24.00, 18.00, 18.00, 14.00, + 32.00, 21.00, 26.00, 13.00, 6.00, 24.00, 22.00, 27.00, 17.00, 26.00, 19.00, 21.00, 19.00, 9.00, 21.00, 25.00, 17.00, 27.00, 15.00, 18.00 +}; + diff --git a/mt/bn_vvadd/vvadd_gendata.pl b/mt/bn_vvadd/vvadd_gendata.pl new file mode 100755 index 0000000..a9fceac --- /dev/null +++ b/mt/bn_vvadd/vvadd_gendata.pl @@ -0,0 +1,139 @@ +#!/usr/bin/perl -w +#========================================================================== +# vvadd_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the vvadd benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: vvadd_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[DATA_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3.2f",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + my @values1; + my @values2; + my @sum; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + my $value1 = int(rand(19)); + my $value2 = int(rand(19)); + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @sum, $value1 + $value2 ); + } + + + print "\n\#define DATA_SIZE ".$opts{"size"}." \n\n"; + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@sum ); + +} + +main(); + diff --git a/mt/bo_matmul/bo_matmul.c b/mt/bo_matmul/bo_matmul.c new file mode 100644 index 0000000..de964db --- /dev/null +++ b/mt/bo_matmul/bo_matmul.c @@ -0,0 +1,341 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + +void __attribute__((noinline)) matmul_MI_transpose(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + data_t B_trans[32*32]; + data_t acc_temp0, acc_temp1; + data_t *A_j, *B_i; + data_t *A_j_k, *B_i_k; + int z; + + //for (i = 0; i < 32; i++) { + // for (j = 0; j < 32; j++) { + // B_trans[i*lda+j] = B[i+j*lda]; + // } + //} + + if (coreid == 0) { + for (i = 0; i < 32; i++) { + B_i = B_trans+i*32; + for (z = 0; z < 32; z++) { + *(B_i+z) = B[i+z*32]; + } + for (j = 0; j < 16; j+=2) { + A_j = A+j*lda; + acc_temp0 = 0; + for (k = 0; k < 32; k+=8) { + A_j_k = A_j+k; + B_i_k = B_i+k; + acc_temp0 += *(A_j_k) * *(B_i_k); + acc_temp0 += *(A_j_k + 1) * *(B_i_k + 1); + acc_temp0 += *(A_j_k + 2) * *(B_i_k + 2); + acc_temp0 += *(A_j_k + 3) * *(B_i_k + 3); + acc_temp0 += *(A_j_k + 4) * *(B_i_k + 4); + acc_temp0 += *(A_j_k + 5) * *(B_i_k + 5); + acc_temp0 += *(A_j_k + 6) * *(B_i_k + 6); + acc_temp0 += *(A_j_k + 7) * *(B_i_k + 7); + } + A_j += 32; + + acc_temp1 = 0; + for (k = 0; k < 32; k+=8) { + acc_temp1 += *(A_j+k) * *(B_i+k); + acc_temp1 += *(A_j+k + 1) * *(B_i+k + 1); + acc_temp1 += *(A_j+k + 2) * *(B_i+k + 2); + acc_temp1 += *(A_j+k + 3) * *(B_i+k + 3); + acc_temp1 += *(A_j+k + 4) * *(B_i+k + 4); + acc_temp1 += *(A_j+k + 5) * *(B_i+k + 5); + acc_temp1 += *(A_j+k + 6) * *(B_i+k + 6); + acc_temp1 += *(A_j+k + 7) * *(B_i+k + 7); + } + + C[i + j*lda] = acc_temp0; + C[i + (j+1)*lda] = acc_temp1; + } + } + } else if (coreid == 1) { + for (i = 0; i < 32; i++) { + B_i = B_trans+i*32; + for (z = 0; z < 32; z++) { + *(B_i+z) = B[i+z*32]; + } + for (j = 16; j < 32; j+=2) { + A_j = A+j*lda; + acc_temp0 = 0; + for (k = 0; k < 32; k+=8) { + acc_temp0 += *(A_j+k) * *(B_i+k); + acc_temp0 += *(A_j+k + 1) * *(B_i+k + 1); + acc_temp0 += *(A_j+k + 2) * *(B_i+k + 2); + acc_temp0 += *(A_j+k + 3) * *(B_i+k + 3); + acc_temp0 += *(A_j+k + 4) * *(B_i+k + 4); + acc_temp0 += *(A_j+k + 5) * *(B_i+k + 5); + acc_temp0 += *(A_j+k + 6) * *(B_i+k + 6); + acc_temp0 += *(A_j+k + 7) * *(B_i+k + 7); + } + A_j += 32; + + acc_temp1 = 0; + for (k = 0; k < 32; k+=8) { + acc_temp1 += *(A_j+k) * *(B_i+k); + acc_temp1 += *(A_j+k + 1) * *(B_i+k + 1); + acc_temp1 += *(A_j+k + 2) * *(B_i+k + 2); + acc_temp1 += *(A_j+k + 3) * *(B_i+k + 3); + acc_temp1 += *(A_j+k + 4) * *(B_i+k + 4); + acc_temp1 += *(A_j+k + 5) * *(B_i+k + 5); + acc_temp1 += *(A_j+k + 6) * *(B_i+k + 6); + acc_temp1 += *(A_j+k + 7) * *(B_i+k + 7); + } + C[i + j*lda] = acc_temp0; + C[i + (j+1)*lda] = acc_temp1; + } + } + } +} + +void __attribute__((noinline)) matmul_MI(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + data_t acc_temp; + data_t *A_j, *B_i; + int j_start = coreid*16; + int j_end = (coreid*16)+16; + if (coreid == 0) { + for ( i = 0; i < 32; i++ ) { + B_i = B + i; + for ( j = j_start; j < j_end; j++ ) + { + acc_temp = 0; + A_j = A + j*32; + for ( k = 0; k < 32; k++ ) + { + acc_temp += *(A_j + k) * *(B_i + k*32); + } + C[i + j*32] = acc_temp; + } + } + } else if (coreid == 1) { + for ( i = 16; i < 32; i++ ) { + B_i = B + i; + for ( j = j_start; j < j_end; j++ ) + { + acc_temp = 0; + A_j = A + j*32; + for ( k = 0; k < 32; k+=4 ) + { + acc_temp += *(A_j + k) * *(B_i + k*32); + acc_temp += *(A_j + k + 1) * *(B_i + (k+1)*32); + acc_temp += *(A_j + k + 2) * *(B_i + (k+2)*32); + acc_temp += *(A_j + k + 3) * *(B_i + (k+3)*32); + } + C[i + j*32] = acc_temp; + } + } + for ( i = 0; i < 16; i++ ) { + B_i = B + i; + for ( j = j_start; j < j_end; j++ ) + { + acc_temp = 0; + A_j = A + j*32; + for ( k = 0; k < 32; k+=4 ) + { + acc_temp += *(A_j + k) * *(B_i + k*32); + acc_temp += *(A_j + k + 1) * *(B_i + (k+1)*32); + acc_temp += *(A_j + k + 2) * *(B_i + (k+2)*32); + acc_temp += *(A_j + k + 3) * *(B_i + (k+3)*32); + } + C[i + j*32] = acc_temp; + } + } + + } +} + +void __attribute__((noinline)) matmul_MSI(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + data_t acc_temp; + data_t *A_j, *B_i; + int j_start = coreid*16; + int j_end = (coreid*16)+16; + for ( i = 0; i < 32; i++ ) { + B_i = B + i; + for ( j = j_start; j < j_end; j++ ) + { + acc_temp = 0; + A_j = A + j*32; + for ( k = 0; k < 32; k++ ) + { + acc_temp += *(A_j + k) * *(B_i + k*32); + } + C[i + j*32] = acc_temp; + } + } +} + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + // ENABLE_SHARING = false is MI + // ENABLE_SHARING = true is MSI + matmul_MI_transpose(lda, A, B, C); + //matmul_MSI(lda, A, B, C); +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + +// // Execute the provided, naive matmul +// barrier(); +// //stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); +// +// +// // verify +// //verify(ARRAY_SIZE, results_data, verify_data); +// +// // clear results from the first trial +// size_t i; +// if (coreid == 0) +// for (i=0; i < ARRAY_SIZE; i++) +// results_data[i] = 0; +// barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/bo_matmul/dataset.h b/mt/bo_matmul/dataset.h new file mode 100755 index 0000000..dde3ee4 --- /dev/null +++ b/mt/bo_matmul/dataset.h @@ -0,0 +1,174 @@ + +#define ARRAY_SIZE 1024 + + +#define DIM_SIZE 32 + +static data_t input1_data[ARRAY_SIZE] = +{ + 0, 3, 2, 0, 3, 1, 0, 3, 2, 3, 2, 0, 3, 3, 1, 2, 3, 0, 0, 1, + 1, 1, 2, 3, 1, 2, 3, 1, 1, 3, 2, 2, 0, 1, 3, 2, 2, 2, 0, 0, + 1, 0, 1, 3, 3, 0, 3, 3, 3, 3, 0, 3, 2, 1, 2, 2, 0, 0, 3, 0, + 1, 1, 0, 3, 3, 1, 2, 3, 3, 0, 1, 2, 1, 0, 1, 2, 2, 1, 0, 3, + 1, 0, 2, 2, 1, 1, 1, 1, 1, 1, 2, 0, 3, 1, 1, 2, 2, 3, 3, 1, + 3, 2, 0, 0, 0, 3, 3, 3, 2, 1, 2, 3, 1, 0, 0, 0, 0, 1, 2, 2, + 1, 1, 3, 3, 3, 1, 1, 2, 3, 1, 3, 3, 2, 3, 2, 1, 2, 3, 0, 2, + 2, 1, 1, 0, 0, 0, 0, 0, 1, 3, 3, 1, 1, 1, 2, 2, 3, 2, 1, 1, + 1, 1, 3, 0, 2, 2, 1, 3, 2, 1, 2, 2, 1, 3, 1, 3, 1, 3, 2, 3, + 1, 2, 1, 3, 2, 2, 0, 1, 0, 0, 1, 2, 3, 3, 1, 0, 0, 0, 3, 1, + 2, 3, 2, 3, 2, 0, 0, 0, 0, 0, 3, 1, 3, 0, 0, 0, 3, 1, 1, 1, + 1, 2, 1, 2, 3, 2, 0, 0, 2, 2, 3, 0, 3, 0, 0, 3, 0, 3, 1, 3, + 3, 1, 1, 1, 2, 2, 1, 3, 0, 3, 3, 1, 0, 0, 3, 2, 1, 3, 3, 3, + 1, 0, 1, 1, 2, 1, 0, 1, 1, 2, 2, 3, 1, 2, 2, 2, 0, 1, 3, 3, + 3, 2, 2, 1, 0, 1, 2, 0, 1, 1, 1, 1, 2, 3, 2, 2, 3, 3, 0, 0, + 2, 0, 0, 0, 3, 0, 1, 0, 3, 0, 0, 0, 3, 0, 0, 2, 0, 2, 0, 0, + 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 0, 2, 0, 0, 3, 3, 2, 3, 3, 0, + 1, 0, 2, 2, 0, 3, 3, 1, 1, 0, 2, 3, 2, 1, 1, 0, 1, 2, 1, 2, + 2, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 3, 3, 2, 0, 0, 1, 3, 0, 3, + 3, 0, 0, 0, 0, 3, 3, 1, 0, 0, 3, 3, 2, 1, 2, 1, 3, 3, 0, 1, + 3, 0, 2, 3, 1, 3, 3, 3, 3, 3, 0, 1, 1, 3, 0, 2, 2, 3, 1, 2, + 2, 2, 1, 3, 3, 0, 3, 0, 0, 2, 0, 2, 3, 0, 1, 3, 2, 2, 0, 0, + 2, 3, 0, 2, 2, 2, 3, 1, 0, 3, 3, 3, 3, 1, 0, 3, 3, 2, 0, 3, + 2, 0, 3, 0, 2, 0, 0, 2, 2, 1, 0, 2, 3, 1, 1, 1, 1, 2, 3, 3, + 3, 0, 0, 3, 3, 3, 2, 3, 3, 1, 2, 2, 3, 1, 2, 1, 1, 3, 0, 1, + 2, 0, 2, 0, 0, 1, 3, 2, 0, 1, 3, 2, 3, 3, 0, 0, 0, 1, 0, 3, + 3, 2, 2, 2, 1, 1, 2, 2, 1, 3, 2, 0, 1, 3, 2, 0, 2, 1, 3, 0, + 0, 0, 1, 3, 3, 2, 2, 2, 3, 1, 0, 0, 1, 1, 2, 1, 3, 1, 1, 2, + 2, 3, 2, 3, 0, 2, 3, 3, 0, 3, 0, 0, 1, 0, 0, 0, 1, 3, 1, 1, + 2, 3, 2, 1, 1, 2, 2, 2, 3, 0, 1, 1, 2, 1, 2, 0, 2, 3, 1, 3, + 0, 1, 1, 3, 0, 2, 3, 0, 1, 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 2, + 3, 0, 1, 1, 1, 1, 2, 0, 1, 2, 0, 1, 1, 1, 0, 1, 3, 2, 3, 1, + 0, 2, 1, 2, 1, 3, 3, 1, 0, 2, 2, 3, 1, 3, 1, 3, 0, 1, 0, 3, + 0, 3, 2, 0, 3, 3, 3, 0, 3, 2, 2, 2, 1, 3, 0, 0, 1, 1, 3, 0, + 1, 2, 1, 0, 0, 0, 3, 2, 2, 0, 0, 2, 1, 3, 0, 0, 3, 0, 0, 2, + 1, 1, 2, 2, 1, 3, 2, 2, 1, 1, 2, 1, 3, 2, 1, 1, 3, 0, 1, 3, + 3, 2, 2, 1, 0, 3, 2, 2, 2, 3, 0, 1, 3, 3, 2, 3, 0, 3, 2, 3, + 1, 1, 0, 0, 0, 2, 3, 0, 3, 0, 1, 1, 3, 1, 3, 2, 1, 1, 2, 1, + 3, 2, 0, 2, 1, 0, 2, 3, 2, 3, 2, 1, 2, 3, 0, 0, 1, 1, 0, 0, + 2, 1, 0, 1, 2, 2, 2, 2, 0, 3, 3, 1, 0, 0, 0, 0, 3, 1, 1, 0, + 0, 0, 0, 1, 2, 2, 1, 3, 0, 2, 3, 2, 3, 2, 2, 1, 2, 2, 3, 3, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 2, 2, 3, 1, 1, 1, 0, 0, 0, 3, 0, + 1, 0, 3, 1, 1, 3, 0, 1, 2, 2, 0, 0, 3, 3, 3, 3, 2, 1, 0, 0, + 1, 0, 2, 0, 1, 1, 0, 0, 3, 3, 2, 1, 1, 1, 0, 1, 1, 2, 2, 1, + 1, 2, 0, 3, 1, 3, 1, 0, 3, 0, 3, 1, 1, 1, 0, 2, 0, 3, 1, 0, + 1, 0, 2, 0, 2, 3, 3, 3, 1, 2, 3, 2, 2, 0, 1, 1, 0, 3, 3, 1, + 3, 3, 2, 0, 2, 0, 2, 2, 3, 3, 3, 0, 2, 3, 3, 1, 3, 2, 2, 2, + 0, 2, 3, 0, 2, 0, 3, 2, 2, 1, 1, 0, 2, 2, 2, 0, 2, 2, 0, 1, + 3, 2, 1, 3, 2, 2, 0, 3, 3, 1, 2, 2, 0, 0, 3, 2, 1, 2, 2, 1, + 3, 1, 2, 0, 0, 1, 1, 2, 1, 3, 2, 2, 3, 0, 2, 1, 3, 2, 1, 3, + 2, 3, 3, 1, 2, 1, 2, 2, 0, 0, 0, 3, 0, 2, 3, 1, 0, 0, 2, 3, + 3, 2, 2, 1 +}; + +static data_t input2_data[ARRAY_SIZE] = +{ + 1, 1, 0, 3, 1, 2, 0, 0, 0, 0, 0, 2, 1, 2, 3, 0, 0, 3, 3, 2, + 2, 1, 2, 3, 3, 0, 2, 2, 1, 1, 2, 2, 0, 2, 2, 1, 2, 3, 2, 2, + 3, 3, 2, 2, 1, 1, 1, 1, 2, 1, 2, 2, 3, 3, 3, 0, 0, 3, 2, 3, + 2, 3, 1, 2, 1, 1, 2, 2, 0, 1, 0, 3, 2, 1, 1, 1, 2, 0, 1, 2, + 2, 0, 2, 1, 3, 3, 2, 3, 2, 0, 3, 1, 3, 3, 2, 0, 1, 0, 1, 1, + 2, 2, 1, 1, 2, 2, 1, 2, 3, 3, 1, 3, 2, 2, 2, 3, 3, 1, 0, 2, + 1, 0, 0, 0, 1, 1, 2, 0, 3, 2, 3, 3, 0, 2, 3, 1, 0, 0, 2, 1, + 2, 0, 2, 1, 1, 2, 3, 1, 3, 2, 1, 0, 0, 0, 0, 0, 2, 2, 0, 2, + 1, 2, 0, 3, 2, 2, 0, 0, 3, 2, 1, 1, 3, 0, 2, 0, 0, 1, 0, 2, + 3, 3, 1, 3, 3, 0, 0, 2, 2, 0, 0, 0, 1, 0, 0, 1, 3, 0, 2, 1, + 3, 2, 2, 1, 3, 2, 0, 1, 2, 2, 3, 2, 1, 1, 1, 1, 3, 0, 1, 3, + 2, 2, 3, 1, 1, 2, 0, 2, 1, 1, 2, 3, 1, 0, 1, 0, 1, 1, 0, 0, + 2, 0, 3, 0, 3, 0, 3, 2, 2, 3, 3, 2, 1, 0, 2, 2, 1, 1, 0, 3, + 3, 2, 2, 0, 0, 3, 0, 1, 0, 0, 1, 2, 0, 1, 3, 0, 1, 2, 2, 0, + 0, 3, 0, 3, 0, 1, 1, 2, 0, 0, 0, 3, 0, 0, 2, 1, 1, 1, 0, 2, + 1, 3, 1, 2, 0, 3, 0, 3, 1, 3, 0, 0, 2, 2, 2, 2, 3, 3, 2, 1, + 2, 2, 1, 1, 2, 2, 2, 2, 0, 3, 0, 0, 2, 0, 1, 2, 0, 3, 2, 3, + 2, 0, 2, 1, 2, 1, 0, 2, 1, 1, 3, 2, 2, 3, 1, 0, 3, 3, 1, 0, + 3, 2, 2, 0, 0, 3, 0, 0, 2, 0, 3, 2, 3, 1, 1, 0, 0, 2, 3, 0, + 0, 1, 1, 1, 2, 1, 3, 2, 1, 3, 0, 1, 3, 3, 1, 1, 1, 1, 1, 1, + 0, 0, 2, 3, 2, 2, 2, 3, 2, 3, 1, 2, 3, 2, 2, 2, 0, 1, 3, 0, + 1, 1, 0, 1, 0, 1, 1, 3, 3, 1, 2, 2, 3, 2, 0, 2, 2, 0, 1, 3, + 0, 1, 3, 2, 1, 3, 3, 2, 0, 1, 3, 2, 0, 2, 1, 1, 0, 3, 0, 1, + 1, 1, 1, 1, 3, 0, 0, 1, 0, 2, 3, 1, 3, 0, 2, 1, 3, 0, 3, 0, + 3, 2, 2, 0, 0, 2, 1, 3, 3, 2, 3, 2, 2, 1, 2, 2, 3, 0, 3, 2, + 2, 0, 3, 2, 3, 2, 0, 0, 1, 2, 0, 0, 2, 0, 0, 3, 3, 2, 0, 0, + 3, 3, 0, 2, 3, 1, 0, 1, 0, 2, 1, 0, 2, 1, 0, 1, 0, 3, 0, 2, + 2, 3, 0, 0, 2, 1, 0, 1, 0, 0, 0, 2, 2, 3, 2, 0, 3, 3, 2, 1, + 0, 0, 3, 1, 2, 3, 3, 1, 0, 3, 1, 1, 0, 3, 3, 3, 2, 2, 2, 0, + 1, 2, 0, 3, 0, 1, 0, 1, 1, 0, 1, 2, 0, 3, 2, 0, 1, 2, 2, 0, + 2, 0, 0, 1, 0, 3, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 1, 1, 1, 0, + 2, 1, 1, 3, 2, 0, 2, 1, 1, 0, 2, 2, 1, 3, 0, 2, 1, 0, 1, 2, + 0, 1, 3, 2, 3, 2, 1, 0, 2, 0, 2, 2, 3, 1, 1, 3, 2, 3, 2, 2, + 0, 2, 0, 0, 0, 3, 2, 0, 2, 2, 3, 3, 3, 2, 1, 2, 0, 0, 3, 0, + 2, 0, 3, 2, 2, 3, 0, 3, 2, 1, 2, 2, 1, 2, 0, 0, 3, 1, 2, 0, + 2, 3, 2, 2, 1, 1, 1, 3, 3, 3, 3, 3, 1, 3, 0, 1, 3, 2, 2, 1, + 0, 1, 1, 2, 1, 2, 3, 1, 2, 2, 1, 2, 1, 1, 0, 3, 3, 1, 1, 3, + 2, 0, 0, 1, 2, 0, 1, 3, 1, 0, 0, 2, 2, 3, 3, 0, 2, 3, 2, 1, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 3, 3, 3, 1, 3, 0, 3, 1, 1, 2, 2, + 2, 1, 0, 3, 2, 3, 0, 2, 3, 2, 3, 1, 2, 3, 3, 1, 2, 1, 0, 0, + 0, 3, 3, 3, 3, 0, 3, 3, 3, 3, 2, 1, 0, 3, 0, 3, 2, 3, 1, 0, + 0, 1, 3, 1, 0, 2, 2, 3, 1, 0, 2, 1, 1, 3, 1, 1, 3, 1, 2, 1, + 0, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 3, 3, 1, 0, 3, 1, 1, 2, 0, + 0, 0, 2, 3, 3, 2, 2, 3, 0, 2, 3, 1, 3, 3, 0, 2, 1, 2, 2, 2, + 1, 0, 1, 3, 2, 3, 1, 1, 2, 1, 1, 0, 0, 2, 3, 2, 1, 0, 3, 1, + 3, 0, 1, 1, 2, 2, 1, 3, 3, 1, 1, 0, 0, 3, 3, 0, 0, 0, 0, 0, + 3, 1, 3, 0, 0, 0, 3, 3, 2, 1, 3, 0, 1, 3, 1, 1, 1, 0, 1, 0, + 1, 2, 2, 2, 3, 3, 0, 2, 3, 2, 1, 3, 3, 1, 1, 3, 0, 3, 3, 2, + 1, 1, 2, 0, 3, 0, 1, 2, 1, 1, 0, 0, 1, 2, 2, 0, 3, 1, 1, 1, + 3, 3, 3, 1, 0, 3, 3, 2, 2, 2, 1, 2, 0, 1, 1, 3, 0, 3, 1, 0, + 2, 2, 0, 1, 2, 3, 2, 1, 2, 0, 3, 2, 1, 3, 0, 1, 2, 0, 3, 0, + 1, 1, 2, 1 +}; + +static data_t verify_data[ARRAY_SIZE] = +{ + 72, 75, 88, 101, 80, 88, 73, 75, 80, 81, 58, 75, 86, 65, 60, 80, 84, 83, 87, 83, + 108, 93, 85, 76, 72, 98, 79, 86, 80, 96, 91, 85, 72, 64, 70, 83, 68, 92, 51, 54, + 85, 85, 60, 58, 90, 64, 55, 69, 72, 48, 94, 77, 91, 83, 70, 69, 67, 77, 59, 50, + 67, 74, 77, 67, 67, 62, 72, 71, 68, 79, 54, 61, 67, 61, 55, 62, 78, 60, 53, 64, + 67, 69, 99, 68, 88, 60, 66, 63, 70, 62, 65, 50, 53, 66, 70, 72, 75, 78, 85, 95, + 71, 89, 70, 68, 86, 88, 58, 77, 84, 70, 65, 68, 73, 75, 91, 96, 105, 92, 76, 68, + 86, 69, 80, 59, 73, 83, 88, 75, 64, 63, 71, 99, 77, 77, 69, 55, 80, 73, 54, 73, + 87, 78, 60, 69, 65, 78, 86, 89, 95, 92, 63, 69, 89, 61, 80, 65, 70, 77, 89, 77, + 79, 79, 73, 92, 64, 81, 60, 78, 81, 80, 61, 63, 89, 65, 56, 83, 77, 65, 102, 70, + 98, 86, 96, 68, 72, 89, 73, 73, 70, 89, 84, 76, 48, 61, 63, 70, 70, 79, 50, 53, + 64, 63, 43, 51, 59, 62, 43, 63, 55, 77, 79, 74, 75, 74, 64, 44, 65, 69, 72, 66, + 54, 71, 74, 72, 69, 76, 68, 89, 94, 75, 65, 53, 85, 79, 65, 74, 82, 73, 58, 70, + 84, 77, 99, 72, 92, 84, 78, 62, 59, 83, 71, 74, 63, 85, 80, 78, 71, 72, 79, 83, + 73, 82, 60, 85, 76, 82, 60, 70, 82, 68, 54, 85, 84, 70, 86, 74, 100, 88, 98, 68, + 67, 87, 69, 73, 68, 88, 76, 71, 47, 43, 47, 80, 54, 65, 40, 37, 59, 53, 33, 48, + 62, 40, 36, 55, 36, 62, 53, 57, 70, 69, 45, 43, 53, 61, 42, 57, 56, 63, 51, 47, + 59, 75, 64, 89, 83, 75, 59, 75, 91, 92, 58, 64, 83, 74, 58, 60, 76, 66, 97, 69, + 90, 95, 92, 64, 78, 75, 77, 73, 65, 78, 82, 75, 47, 54, 59, 71, 59, 56, 53, 42, + 60, 55, 40, 51, 60, 46, 36, 59, 46, 57, 67, 43, 51, 53, 53, 38, 54, 56, 55, 48, + 41, 46, 63, 63, 80, 77, 89, 102, 89, 98, 74, 86, 98, 93, 63, 76, 98, 77, 48, 101, + 86, 88, 100, 82, 102, 90, 95, 75, 86, 103, 83, 98, 80, 104, 98, 86, 71, 74, 80, 90, + 86, 87, 73, 70, 81, 83, 55, 66, 90, 66, 58, 84, 77, 84, 93, 72, 99, 75, 85, 65, + 70, 89, 71, 82, 64, 79, 82, 80, 67, 73, 86, 101, 78, 97, 66, 64, 84, 80, 55, 64, + 79, 73, 51, 79, 89, 68, 94, 77, 109, 102, 82, 61, 66, 93, 88, 70, 82, 82, 85, 69, + 69, 72, 66, 97, 85, 90, 70, 59, 76, 89, 53, 56, 90, 79, 71, 64, 70, 67, 100, 92, + 106, 89, 83, 78, 73, 80, 70, 72, 65, 70, 92, 88, 57, 76, 55, 85, 66, 80, 61, 63, + 63, 78, 54, 58, 71, 73, 54, 63, 63, 62, 89, 76, 86, 81, 83, 54, 70, 81, 78, 64, + 56, 72, 74, 81, 75, 63, 68, 89, 65, 77, 58, 68, 75, 83, 52, 62, 82, 63, 55, 75, + 51, 70, 95, 66, 83, 77, 86, 61, 64, 77, 48, 70, 66, 82, 72, 75, 79, 71, 72, 89, + 78, 78, 66, 59, 91, 80, 55, 64, 79, 68, 54, 71, 67, 75, 87, 84, 100, 101, 76, 58, + 74, 82, 61, 74, 75, 97, 85, 79, 61, 55, 69, 68, 72, 65, 52, 64, 80, 73, 48, 54, + 71, 66, 42, 61, 66, 63, 92, 64, 85, 77, 73, 54, 74, 73, 76, 66, 62, 79, 85, 70, + 71, 84, 87, 81, 88, 86, 77, 77, 93, 88, 78, 71, 101, 89, 58, 84, 95, 81, 89, 97, + 104, 79, 83, 76, 90, 81, 91, 74, 70, 76, 91, 80, 51, 48, 56, 69, 47, 63, 54, 42, + 63, 63, 42, 52, 66, 56, 39, 59, 61, 52, 59, 63, 62, 68, 57, 35, 67, 58, 56, 52, + 61, 63, 60, 47, 85, 75, 89, 106, 88, 95, 74, 82, 107, 107, 64, 78, 98, 90, 62, 91, + 79, 87, 111, 84, 104, 106, 96, 68, 94, 99, 81, 89, 79, 105, 95, 86, 65, 63, 77, 89, + 66, 88, 56, 73, 82, 92, 41, 62, 85, 66, 50, 81, 57, 71, 77, 78, 86, 89, 77, 53, + 67, 78, 61, 63, 72, 82, 69, 66, 59, 46, 55, 70, 56, 64, 45, 50, 65, 64, 42, 56, + 78, 49, 51, 52, 38, 56, 72, 55, 73, 72, 61, 50, 63, 60, 47, 57, 55, 73, 53, 68, + 85, 88, 91, 96, 82, 89, 73, 76, 87, 86, 67, 69, 96, 84, 57, 89, 87, 89, 99, 88, + 104, 90, 85, 75, 88, 92, 85, 75, 74, 87, 103, 94, 55, 48, 56, 65, 72, 50, 45, 51, + 63, 62, 47, 57, 79, 53, 36, 63, 54, 68, 71, 59, 63, 61, 63, 41, 50, 73, 57, 59, + 56, 76, 73, 65, 61, 64, 61, 79, 53, 73, 57, 44, 61, 59, 59, 56, 81, 59, 49, 62, + 65, 55, 69, 72, 79, 70, 58, 57, 68, 61, 62, 50, 57, 60, 66, 66, 63, 77, 81, 89, + 85, 81, 76, 73, 78, 95, 59, 70, 81, 77, 46, 79, 78, 79, 83, 81, 84, 82, 85, 48, + 74, 85, 85, 74, 74, 80, 80, 74, 60, 76, 80, 97, 88, 93, 66, 66, 73, 84, 56, 70, + 90, 63, 58, 78, 73, 93, 90, 78, 94, 88, 82, 67, 85, 70, 81, 86, 74, 82, 88, 82, + 68, 73, 75, 91, 78, 97, 71, 66, 74, 85, 50, 59, 86, 77, 70, 74, 75, 74, 99, 82, + 99, 91, 86, 65, 80, 77, 72, 69, 60, 78, 90, 87, 79, 69, 74, 98, 70, 86, 81, 67, + 69, 78, 48, 65, 88, 70, 70, 70, 69, 72, 96, 90, 99, 82, 81, 76, 98, 73, 74, 71, + 69, 73, 94, 89 +}; + diff --git a/mt/bo_matmul/matmul_gendata.pl b/mt/bo_matmul/matmul_gendata.pl new file mode 100755 index 0000000..f21bb46 --- /dev/null +++ b/mt/bo_matmul/matmul_gendata.pl @@ -0,0 +1,200 @@ +#!/usr/bin/perl -w +#========================================================================== +# matmul_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the matmul benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: matmul_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[ARRAY_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3d",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + + + +#-------------------------------------------------------------------------- +# Matmul +#-------------------------------------------------------------------------- + +# http://answers.oreilly.com/topic/418-how-to-multiply-matrices-in-perl/ + +sub mmult { + my ($m1,$m2) = @_; + my ($m1rows,$m1cols) = matdim($m1); + my ($m2rows,$m2cols) = matdim($m2); + + my $result = [ ]; + my ($i, $j, $k); + + for $i (range($m1rows)) { + for $j (range($m2cols)) { + for $k (range($m1cols)) { + $result->[$i][$j] += $m1->[$i][$k] * $m2->[$k][$j]; + } + } + } + return $result; +} + +sub range { 0 .. ($_[0] - 1) } + + +sub veclen { + my $ary_ref = $_[0]; + my $type = ref $ary_ref; + if ($type ne "ARRAY") { die "$type is bad array ref for $ary_ref" } + return scalar(@$ary_ref); +} + +sub matdim { + my $matrix = $_[0]; + my $rows = veclen($matrix); + my $cols = veclen($matrix->[0]); + return ($rows, $cols); +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + # create random input arrays + my $mat_values1; + my $mat_values2; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + $mat_values1->[$i][$j] = int(rand(4)); + $mat_values2->[$i][$j] = int(rand(4)); + } + } + + # perform matmul + my $mat_results = mmult( $mat_values1, $mat_values2 ); + + # translate 2d arrays to 1d-somethings (I don't know how to code in perl - Chris) + my @values1; + my @values2; + my @results; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + my $value1 = $mat_values1->[$i][$j]; + my $value2 = $mat_values2->[$i][$j]; + my $result = $mat_results->[$i][$j]; + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @results, $result ); + } + } + + print "\n\#define ARRAY_SIZE ".($opts{"size"}*$opts{"size"})." \n\n"; + print "\n\#define DIM_SIZE ".$opts{"size"}." \n\n"; + + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@results); + +} + +main(); + diff --git a/mt/bo_matmul/matmul_mi.c b/mt/bo_matmul/matmul_mi.c new file mode 100644 index 0000000..ccd3987 --- /dev/null +++ b/mt/bo_matmul/matmul_mi.c @@ -0,0 +1,341 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + +void __attribute__((noinline)) matmul_MI_transpose(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + data_t B_trans[32*32]; + data_t acc_temp0, acc_temp1; + data_t *A_j, *B_i; + data_t *A_j_k, *B_i_k; + int z; + + //for (i = 0; i < 32; i++) { + // for (j = 0; j < 32; j++) { + // B_trans[i*lda+j] = B[i+j*lda]; + // } + //} + + if (coreid == 0) { + for (i = 0; i < 32; i++) { + B_i = B_trans+i*32; + for (z = 0; z < 32; z++) { + *(B_i+z) = B[i+z*32]; + } + for (j = 0; j < 16; j+=2) { + A_j = A+j*lda; + acc_temp0 = 0; + for (k = 0; k < 32; k+=8) { + A_j_k = A_j+k; + B_i_k = B_i+k; + acc_temp0 += *(A_j_k) * *(B_i_k); + acc_temp0 += *(A_j_k + 1) * *(B_i_k + 1); + acc_temp0 += *(A_j_k + 2) * *(B_i_k + 2); + acc_temp0 += *(A_j_k + 3) * *(B_i_k + 3); + acc_temp0 += *(A_j_k + 4) * *(B_i_k + 4); + acc_temp0 += *(A_j_k + 5) * *(B_i_k + 5); + acc_temp0 += *(A_j_k + 6) * *(B_i_k + 6); + acc_temp0 += *(A_j_k + 7) * *(B_i_k + 7); + } + A_j += 32; + + acc_temp1 = 0; + for (k = 0; k < 32; k+=8) { + acc_temp1 += *(A_j+k) * *(B_i+k); + acc_temp1 += *(A_j+k + 1) * *(B_i+k + 1); + acc_temp1 += *(A_j+k + 2) * *(B_i+k + 2); + acc_temp1 += *(A_j+k + 3) * *(B_i+k + 3); + acc_temp1 += *(A_j+k + 4) * *(B_i+k + 4); + acc_temp1 += *(A_j+k + 5) * *(B_i+k + 5); + acc_temp1 += *(A_j+k + 6) * *(B_i+k + 6); + acc_temp1 += *(A_j+k + 7) * *(B_i+k + 7); + } + + C[i + j*lda] = acc_temp0; + C[i + (j+1)*lda] = acc_temp1; + } + } + } else if (coreid == 1) { + for (i = 0; i < 32; i++) { + B_i = B_trans+i*32; + for (z = 0; z < 32; z++) { + *(B_i+z) = B[i+z*32]; + } + for (j = 16; j < 32; j+=2) { + A_j = A+j*lda; + acc_temp0 = 0; + for (k = 0; k < 32; k+=8) { + acc_temp0 += *(A_j+k) * *(B_i+k); + acc_temp0 += *(A_j+k + 1) * *(B_i+k + 1); + acc_temp0 += *(A_j+k + 2) * *(B_i+k + 2); + acc_temp0 += *(A_j+k + 3) * *(B_i+k + 3); + acc_temp0 += *(A_j+k + 4) * *(B_i+k + 4); + acc_temp0 += *(A_j+k + 5) * *(B_i+k + 5); + acc_temp0 += *(A_j+k + 6) * *(B_i+k + 6); + acc_temp0 += *(A_j+k + 7) * *(B_i+k + 7); + } + A_j += 32; + + acc_temp1 = 0; + for (k = 0; k < 32; k+=8) { + acc_temp1 += *(A_j+k) * *(B_i+k); + acc_temp1 += *(A_j+k + 1) * *(B_i+k + 1); + acc_temp1 += *(A_j+k + 2) * *(B_i+k + 2); + acc_temp1 += *(A_j+k + 3) * *(B_i+k + 3); + acc_temp1 += *(A_j+k + 4) * *(B_i+k + 4); + acc_temp1 += *(A_j+k + 5) * *(B_i+k + 5); + acc_temp1 += *(A_j+k + 6) * *(B_i+k + 6); + acc_temp1 += *(A_j+k + 7) * *(B_i+k + 7); + } + C[i + j*lda] = acc_temp0; + C[i + (j+1)*lda] = acc_temp1; + } + } + } +} + +void __attribute__((noinline)) matmul_MI(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + data_t acc_temp; + data_t *A_j, *B_i; + int j_start = coreid*16; + int j_end = (coreid*16)+16; + if (coreid == 0) { + for ( i = 0; i < 32; i++ ) { + B_i = B + i; + for ( j = j_start; j < j_end; j++ ) + { + acc_temp = 0; + A_j = A + j*32; + for ( k = 0; k < 32; k++ ) + { + acc_temp += *(A_j + k) * *(B_i + k*32); + } + C[i + j*32] = acc_temp; + } + } + } else if (coreid == 1) { + for ( i = 16; i < 32; i++ ) { + B_i = B + i; + for ( j = j_start; j < j_end; j++ ) + { + acc_temp = 0; + A_j = A + j*32; + for ( k = 0; k < 32; k+=4 ) + { + acc_temp += *(A_j + k) * *(B_i + k*32); + acc_temp += *(A_j + k + 1) * *(B_i + (k+1)*32); + acc_temp += *(A_j + k + 2) * *(B_i + (k+2)*32); + acc_temp += *(A_j + k + 3) * *(B_i + (k+3)*32); + } + C[i + j*32] = acc_temp; + } + } + for ( i = 0; i < 16; i++ ) { + B_i = B + i; + for ( j = j_start; j < j_end; j++ ) + { + acc_temp = 0; + A_j = A + j*32; + for ( k = 0; k < 32; k+=4 ) + { + acc_temp += *(A_j + k) * *(B_i + k*32); + acc_temp += *(A_j + k + 1) * *(B_i + (k+1)*32); + acc_temp += *(A_j + k + 2) * *(B_i + (k+2)*32); + acc_temp += *(A_j + k + 3) * *(B_i + (k+3)*32); + } + C[i + j*32] = acc_temp; + } + } + + } +} + +void __attribute__((noinline)) matmul_MSI(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + data_t acc_temp; + data_t *A_j, *B_i; + int j_start = coreid*16; + int j_end = (coreid*16)+16; + for ( i = 0; i < 32; i++ ) { + B_i = B + i; + for ( j = j_start; j < j_end; j++ ) + { + acc_temp = 0; + A_j = A + j*32; + for ( k = 0; k < 32; k++ ) + { + acc_temp += *(A_j + k) * *(B_i + k*32); + } + C[i + j*32] = acc_temp; + } + } +} + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + // ENABLE_SHARING = false is MI + // ENABLE_SHARING = true is MSI + matmul_MI_transpose(lda, A, B, C); + //matmul_MSI(lda, A, B, C); +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + +// // Execute the provided, naive matmul +// barrier(); +// //stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); +// +// +// // verify +// //verify(ARRAY_SIZE, results_data, verify_data); +// +// // clear results from the first trial +// size_t i; +// if (coreid == 0) +// for (i=0; i < ARRAY_SIZE; i++) +// results_data[i] = 0; +// barrier(); +// + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/bo_vvadd/bo_vvadd.c b/mt/bo_vvadd/bo_vvadd.c new file mode 100755 index 0000000..74b0351 --- /dev/null +++ b/mt/bo_vvadd/bo_vvadd.c @@ -0,0 +1,172 @@ +//************************************************************************** +// Vector-vector add benchmark +//-------------------------------------------------------------------------- +// Author : Andrew Waterman +// TA : Christopher Celio +// Student : +// +// This benchmark adds two vectors and writes the results to a +// third vector. The input data (and reference data) should be +// generated using the vvadd_gendata.pl perl script and dumped +// to a file named dataset.h + +// to print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DATA_SIZE, 10*_c/DATA_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %4ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %4ld, correct[%d]= %4ld\n", + i, (long) test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// vvadd function + +//perform in-place vvadd +void __attribute__((noinline)) vvadd(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + size_t i; + + // interleave accesses + for (i = coreid; i < n; i+=ncores) + { + x[i] = x[i] + y[i]; + } +} + +void __attribute__((noinline)) vvadd_opt(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + + size_t i; + for (i = 0; i < (n/ncores); i+= 1) + { + size_t ind = (n/ncores)*coreid+i; + x[ind] = x[ind] + y[ind]; + } +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[DATA_SIZE]; + + // because we're going to perform an in-place vvadd (and we're going to run + // it a couple of times) let's copy the input data to a temporary results + // array + + size_t i; + if (coreid == 0) + { + for (i = 0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + + + // Execute the provided, terrible vvadd + barrier(); + stats(vvadd(DATA_SIZE, results_data, input2_data); barrier()); + + + // verify + verify(DATA_SIZE, results_data, verify_data); + + // reset results from the first trial + if (coreid == 0) + { + for (i=0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + barrier(); + + + // Execute your faster vvadd + barrier(); + stats(vvadd_opt(DATA_SIZE, results_data, input2_data); barrier()); + +#ifdef DEBUG + printArray("results: ", DATA_SIZE, results_data); + printArray("verify : ", DATA_SIZE, verify_data); +#endif + + // verify + verify(DATA_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/bo_vvadd/dataset.h b/mt/bo_vvadd/dataset.h new file mode 100755 index 0000000..ce9f936 --- /dev/null +++ b/mt/bo_vvadd/dataset.h @@ -0,0 +1,165 @@ + +#define DATA_SIZE 1000 + +static data_t input1_data[DATA_SIZE] = +{ + 0.00, 15.00, 10.00, 3.00, 14.00, 6.00, 2.00, 18.00, 11.00, 15.00, 11.00, 0.00, 17.00, 16.00, 7.00, 13.00, 18.00, 2.00, 2.00, 5.00, + 8.00, 5.00, 12.00, 14.00, 6.00, 12.00, 16.00, 7.00, 9.00, 17.00, 10.00, 10.00, 3.00, 5.00, 14.00, 11.00, 9.00, 12.00, 3.00, 1.00, + 5.00, 4.00, 6.00, 17.00, 17.00, 4.00, 17.00, 15.00, 17.00, 18.00, 3.00, 18.00, 10.00, 6.00, 12.00, 12.00, 3.00, 2.00, 16.00, 1.00, + 5.00, 6.00, 2.00, 17.00, 16.00, 5.00, 10.00, 18.00, 14.00, 4.00, 9.00, 9.00, 7.00, 4.00, 8.00, 13.00, 12.00, 6.00, 4.00, 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9.00, 18.00, 11.00, 8.00, 4.00, 14.00, 6.00, + 17.00, 2.00, 6.00, 8.00, 11.00, 13.00, 6.00, 18.00, 17.00, 6.00, 8.00, 0.00, 1.00, 14.00, 18.00, 4.00, 0.00, 4.00, 3.00, 3.00, + 16.00, 8.00, 16.00, 1.00, 2.00, 0.00, 15.00, 14.00, 10.00, 9.00, 15.00, 3.00, 5.00, 18.00, 5.00, 6.00, 7.00, 3.00, 7.00, 2.00, + 6.00, 12.00, 10.00, 10.00, 18.00, 16.00, 0.00, 9.00, 17.00, 10.00, 9.00, 14.00, 15.00, 5.00, 8.00, 15.00, 3.00, 15.00, 14.00, 11.00, + 6.00, 6.00, 14.00, 0.00, 14.00, 0.00, 7.00, 12.00, 8.00, 7.00, 1.00, 3.00, 6.00, 10.00, 12.00, 1.00, 16.00, 5.00, 5.00, 6.00, + 17.00, 15.00, 15.00, 9.00, 4.00, 18.00, 17.00, 13.00, 12.00, 9.00, 7.00, 10.00, 2.00, 5.00, 8.00, 18.00, 1.00, 15.00, 8.00, 0.00 +}; + +static data_t verify_data[DATA_SIZE] = +{ + 8.00, 21.00, 10.00, 21.00, 20.00, 16.00, 3.00, 20.00, 15.00, 17.00, 15.00, 10.00, 23.00, 27.00, 24.00, 17.00, 18.00, 18.00, 16.00, 17.00, + 17.00, 13.00, 25.00, 29.00, 24.00, 14.00, 29.00, 17.00, 14.00, 21.00, 22.00, 19.00, 4.00, 18.00, 26.00, 18.00, 19.00, 29.00, 14.00, 11.00, + 23.00, 19.00, 17.00, 29.00, 24.00, 13.00, 23.00, 20.00, 28.00, 25.00, 13.00, 30.00, 28.00, 24.00, 27.00, 13.00, 6.00, 20.00, 27.00, 17.00, + 18.00, 24.00, 6.00, 30.00, 24.00, 12.00, 20.00, 31.00, 14.00, 13.00, 10.00, 25.00, 20.00, 11.00, 13.00, 18.00, 23.00, 7.00, 10.00, 27.00, + 17.00, 5.00, 21.00, 16.00, 22.00, 21.00, 21.00, 19.00, 20.00, 7.00, 29.00, 6.00, 34.00, 21.00, 16.00, 13.00, 18.00, 21.00, 20.00, 10.00, + 27.00, 25.00, 10.00, 5.00, 16.00, 27.00, 26.00, 25.00, 27.00, 23.00, 18.00, 34.00, 17.00, 9.00, 10.00, 17.00, 17.00, 16.00, 12.00, 23.00, + 14.00, 5.00, 15.00, 21.00, 20.00, 13.00, 18.00, 12.00, 35.00, 16.00, 33.00, 32.00, 11.00, 29.00, 31.00, 15.00, 12.00, 16.00, 12.00, 16.00, + 25.00, 9.00, 21.00, 8.00, 7.00, 14.00, 21.00, 9.00, 23.00, 28.00, 21.00, 11.00, 11.00, 11.00, 13.00, 9.00, 25.00, 23.00, 8.00, 17.00, + 15.00, 16.00, 18.00, 20.00, 25.00, 24.00, 6.00, 16.00, 25.00, 17.00, 18.00, 19.00, 20.00, 20.00, 16.00, 15.00, 5.00, 22.00, 15.00, 31.00, + 21.00, 31.00, 12.00, 34.00, 28.00, 15.00, 2.00, 19.00, 14.00, 3.00, 9.00, 13.00, 22.00, 19.00, 6.00, 10.00, 19.00, 6.00, 29.00, 12.00, + 27.00, 27.00, 21.00, 20.00, 27.00, 12.00, 3.00, 10.00, 12.00, 12.00, 32.00, 19.00, 26.00, 7.00, 7.00, 10.00, 32.00, 11.00, 13.00, 23.00, + 19.00, 24.00, 25.00, 16.00, 22.00, 22.00, 5.00, 12.00, 21.00, 17.00, 23.00, 18.00, 22.00, 1.00, 12.00, 18.00, 8.00, 21.00, 6.00, 20.00, + 28.00, 8.00, 27.00, 10.00, 25.00, 13.00, 21.00, 25.00, 13.00, 32.00, 33.00, 16.00, 11.00, 4.00, 28.00, 20.00, 11.00, 23.00, 19.00, 28.00, + 22.00, 14.00, 21.00, 11.00, 14.00, 22.00, 1.00, 11.00, 7.00, 11.00, 20.00, 30.00, 13.00, 23.00, 23.00, 16.00, 9.00, 20.00, 29.00, 20.00, + 21.00, 27.00, 13.00, 26.00, 8.00, 17.00, 19.00, 9.00, 10.00, 6.00, 6.00, 18.00, 13.00, 17.00, 28.00, 17.00, 21.00, 22.00, 5.00, 15.00, + 17.00, 14.00, 9.00, 14.00, 18.00, 17.00, 8.00, 17.00, 23.00, 20.00, 2.00, 0.00, 27.00, 16.00, 15.00, 21.00, 20.00, 25.00, 17.00, 12.00, + 22.00, 24.00, 21.00, 8.00, 14.00, 28.00, 29.00, 19.00, 8.00, 24.00, 4.00, 11.00, 13.00, 2.00, 23.00, 29.00, 13.00, 34.00, 27.00, 22.00, + 17.00, 3.00, 21.00, 15.00, 13.00, 25.00, 18.00, 20.00, 12.00, 10.00, 27.00, 28.00, 22.00, 22.00, 14.00, 6.00, 25.00, 29.00, 15.00, 12.00, + 28.00, 11.00, 15.00, 5.00, 4.00, 20.00, 10.00, 4.00, 22.00, 3.00, 27.00, 31.00, 29.00, 20.00, 7.00, 3.00, 7.00, 28.00, 17.00, 14.00, + 17.00, 10.00, 8.00, 7.00, 12.00, 21.00, 34.00, 20.00, 9.00, 22.00, 19.00, 21.00, 25.00, 24.00, 18.00, 14.00, 23.00, 23.00, 9.00, 15.00, + 19.00, 7.00, 20.00, 32.00, 20.00, 27.00, 27.00, 30.00, 27.00, 32.00, 8.00, 19.00, 21.00, 28.00, 16.00, 25.00, 13.00, 22.00, 24.00, 13.00, + 21.00, 16.00, 10.00, 23.00, 21.00, 11.00, 25.00, 19.00, 21.00, 14.00, 14.00, 26.00, 30.00, 12.00, 5.00, 26.00, 22.00, 11.00, 7.00, 16.00, + 12.00, 22.00, 14.00, 23.00, 21.00, 28.00, 31.00, 20.00, 1.00, 23.00, 30.00, 32.00, 16.00, 14.00, 9.00, 23.00, 21.00, 31.00, 3.00, 23.00, + 17.00, 7.00, 22.00, 6.00, 30.00, 4.00, 7.00, 22.00, 17.00, 17.00, 19.00, 18.00, 31.00, 11.00, 18.00, 11.00, 22.00, 12.00, 29.00, 15.00, + 35.00, 11.00, 12.00, 17.00, 18.00, 29.00, 17.00, 33.00, 33.00, 15.00, 27.00, 20.00, 29.00, 14.00, 23.00, 15.00, 21.00, 18.00, 20.00, 17.00, + 24.00, 5.00, 29.00, 13.00, 19.00, 18.00, 19.00, 13.00, 5.00, 16.00, 22.00, 14.00, 25.00, 21.00, 7.00, 17.00, 19.00, 15.00, 5.00, 16.00, + 33.00, 28.00, 10.00, 24.00, 24.00, 13.00, 11.00, 17.00, 12.00, 28.00, 21.00, 5.00, 19.00, 25.00, 13.00, 5.00, 10.00, 25.00, 21.00, 17.00, + 13.00, 20.00, 9.00, 16.00, 24.00, 18.00, 16.00, 22.00, 19.00, 10.00, 0.00, 14.00, 21.00, 24.00, 23.00, 10.00, 33.00, 23.00, 21.00, 17.00, + 17.00, 19.00, 26.00, 22.00, 12.00, 27.00, 31.00, 23.00, 6.00, 32.00, 12.00, 10.00, 9.00, 19.00, 18.00, 18.00, 20.00, 24.00, 17.00, 7.00, + 21.00, 27.00, 14.00, 20.00, 5.00, 19.00, 11.00, 18.00, 25.00, 1.00, 12.00, 21.00, 13.00, 26.00, 20.00, 3.00, 17.00, 28.00, 18.00, 16.00, + 13.00, 11.00, 11.00, 24.00, 2.00, 27.00, 18.00, 19.00, 18.00, 16.00, 25.00, 15.00, 9.00, 19.00, 26.00, 24.00, 19.00, 13.00, 16.00, 12.00, + 25.00, 12.00, 12.00, 24.00, 20.00, 9.00, 22.00, 6.00, 13.00, 11.00, 11.00, 20.00, 11.00, 22.00, 3.00, 17.00, 25.00, 14.00, 25.00, 16.00, + 3.00, 16.00, 23.00, 24.00, 24.00, 29.00, 24.00, 6.00, 12.00, 14.00, 23.00, 29.00, 23.00, 26.00, 14.00, 35.00, 17.00, 20.00, 12.00, 25.00, + 2.00, 29.00, 16.00, 3.00, 17.00, 32.00, 30.00, 5.00, 31.00, 25.00, 24.00, 29.00, 22.00, 26.00, 7.00, 14.00, 6.00, 11.00, 32.00, 1.00, + 18.00, 12.00, 20.00, 16.00, 15.00, 20.00, 19.00, 30.00, 23.00, 11.00, 12.00, 24.00, 13.00, 27.00, 2.00, 3.00, 36.00, 9.00, 13.00, 14.00, + 16.00, 23.00, 23.00, 24.00, 13.00, 22.00, 18.00, 26.00, 24.00, 22.00, 28.00, 23.00, 25.00, 28.00, 7.00, 14.00, 31.00, 15.00, 23.00, 25.00, + 15.00, 20.00, 15.00, 19.00, 8.00, 27.00, 25.00, 19.00, 21.00, 28.00, 11.00, 14.00, 25.00, 24.00, 11.00, 29.00, 19.00, 25.00, 16.00, 33.00, + 18.00, 9.00, 3.00, 13.00, 13.00, 13.00, 21.00, 20.00, 23.00, 7.00, 11.00, 18.00, 25.00, 26.00, 30.00, 12.00, 21.00, 21.00, 27.00, 14.00, + 21.00, 31.00, 3.00, 21.00, 14.00, 20.00, 30.00, 20.00, 21.00, 32.00, 27.00, 24.00, 16.00, 31.00, 5.00, 20.00, 14.00, 17.00, 15.00, 16.00, + 19.00, 13.00, 4.00, 21.00, 20.00, 29.00, 10.00, 22.00, 19.00, 24.00, 29.00, 14.00, 10.00, 15.00, 18.00, 7.00, 28.00, 17.00, 7.00, 2.00, + 1.00, 19.00, 17.00, 23.00, 31.00, 13.00, 20.00, 36.00, 17.00, 27.00, 28.00, 18.00, 20.00, 29.00, 17.00, 23.00, 24.00, 23.00, 26.00, 17.00, + 9.00, 26.00, 16.00, 18.00, 10.00, 28.00, 32.00, 20.00, 19.00, 14.00, 22.00, 23.00, 13.00, 22.00, 14.00, 7.00, 20.00, 10.00, 25.00, 9.00, + 7.00, 2.00, 31.00, 16.00, 16.00, 22.00, 5.00, 15.00, 26.00, 23.00, 10.00, 18.00, 32.00, 24.00, 15.00, 30.00, 16.00, 13.00, 15.00, 7.00, + 11.00, 6.00, 21.00, 14.00, 25.00, 21.00, 11.00, 16.00, 14.00, 26.00, 25.00, 15.00, 22.00, 24.00, 4.00, 19.00, 14.00, 26.00, 22.00, 17.00, + 13.00, 14.00, 7.00, 32.00, 20.00, 33.00, 13.00, 7.00, 29.00, 8.00, 26.00, 6.00, 9.00, 13.00, 22.00, 23.00, 8.00, 22.00, 22.00, 10.00, + 24.00, 2.00, 17.00, 9.00, 22.00, 30.00, 24.00, 33.00, 25.00, 17.00, 23.00, 9.00, 13.00, 15.00, 23.00, 10.00, 1.00, 22.00, 17.00, 10.00, + 32.00, 24.00, 26.00, 4.00, 15.00, 0.00, 27.00, 23.00, 28.00, 23.00, 30.00, 7.00, 16.00, 33.00, 20.00, 14.00, 23.00, 14.00, 20.00, 14.00, + 7.00, 25.00, 24.00, 12.00, 29.00, 16.00, 17.00, 20.00, 29.00, 16.00, 13.00, 18.00, 26.00, 18.00, 18.00, 17.00, 13.00, 29.00, 14.00, 17.00, + 24.00, 16.00, 21.00, 14.00, 26.00, 9.00, 11.00, 28.00, 25.00, 15.00, 15.00, 12.00, 6.00, 14.00, 27.00, 14.00, 24.00, 18.00, 18.00, 14.00, + 32.00, 21.00, 26.00, 13.00, 6.00, 24.00, 22.00, 27.00, 17.00, 26.00, 19.00, 21.00, 19.00, 9.00, 21.00, 25.00, 17.00, 27.00, 15.00, 18.00 +}; + diff --git a/mt/bo_vvadd/vvadd_gendata.pl b/mt/bo_vvadd/vvadd_gendata.pl new file mode 100755 index 0000000..a9fceac --- /dev/null +++ b/mt/bo_vvadd/vvadd_gendata.pl @@ -0,0 +1,139 @@ +#!/usr/bin/perl -w +#========================================================================== +# vvadd_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the vvadd benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: vvadd_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[DATA_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3.2f",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + my @values1; + my @values2; + my @sum; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + my $value1 = int(rand(19)); + my $value2 = int(rand(19)); + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @sum, $value1 + $value2 ); + } + + + print "\n\#define DATA_SIZE ".$opts{"size"}." \n\n"; + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@sum ); + +} + +main(); + diff --git a/mt/bp_matmul/bp_matmul.c b/mt/bp_matmul/bp_matmul.c new file mode 100755 index 0000000..de964db --- /dev/null +++ b/mt/bp_matmul/bp_matmul.c @@ -0,0 +1,341 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + +void __attribute__((noinline)) matmul_MI_transpose(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + data_t B_trans[32*32]; + data_t acc_temp0, acc_temp1; + data_t *A_j, *B_i; + data_t *A_j_k, *B_i_k; + int z; + + //for (i = 0; i < 32; i++) { + // for (j = 0; j < 32; j++) { + // B_trans[i*lda+j] = B[i+j*lda]; + // } + //} + + if (coreid == 0) { + for (i = 0; i < 32; i++) { + B_i = B_trans+i*32; + for (z = 0; z < 32; z++) { + *(B_i+z) = B[i+z*32]; + } + for (j = 0; j < 16; j+=2) { + A_j = A+j*lda; + acc_temp0 = 0; + for (k = 0; k < 32; k+=8) { + A_j_k = A_j+k; + B_i_k = B_i+k; + acc_temp0 += *(A_j_k) * *(B_i_k); + acc_temp0 += *(A_j_k + 1) * *(B_i_k + 1); + acc_temp0 += *(A_j_k + 2) * *(B_i_k + 2); + acc_temp0 += *(A_j_k + 3) * *(B_i_k + 3); + acc_temp0 += *(A_j_k + 4) * *(B_i_k + 4); + acc_temp0 += *(A_j_k + 5) * *(B_i_k + 5); + acc_temp0 += *(A_j_k + 6) * *(B_i_k + 6); + acc_temp0 += *(A_j_k + 7) * *(B_i_k + 7); + } + A_j += 32; + + acc_temp1 = 0; + for (k = 0; k < 32; k+=8) { + acc_temp1 += *(A_j+k) * *(B_i+k); + acc_temp1 += *(A_j+k + 1) * *(B_i+k + 1); + acc_temp1 += *(A_j+k + 2) * *(B_i+k + 2); + acc_temp1 += *(A_j+k + 3) * *(B_i+k + 3); + acc_temp1 += *(A_j+k + 4) * *(B_i+k + 4); + acc_temp1 += *(A_j+k + 5) * *(B_i+k + 5); + acc_temp1 += *(A_j+k + 6) * *(B_i+k + 6); + acc_temp1 += *(A_j+k + 7) * *(B_i+k + 7); + } + + C[i + j*lda] = acc_temp0; + C[i + (j+1)*lda] = acc_temp1; + } + } + } else if (coreid == 1) { + for (i = 0; i < 32; i++) { + B_i = B_trans+i*32; + for (z = 0; z < 32; z++) { + *(B_i+z) = B[i+z*32]; + } + for (j = 16; j < 32; j+=2) { + A_j = A+j*lda; + acc_temp0 = 0; + for (k = 0; k < 32; k+=8) { + acc_temp0 += *(A_j+k) * *(B_i+k); + acc_temp0 += *(A_j+k + 1) * *(B_i+k + 1); + acc_temp0 += *(A_j+k + 2) * *(B_i+k + 2); + acc_temp0 += *(A_j+k + 3) * *(B_i+k + 3); + acc_temp0 += *(A_j+k + 4) * *(B_i+k + 4); + acc_temp0 += *(A_j+k + 5) * *(B_i+k + 5); + acc_temp0 += *(A_j+k + 6) * *(B_i+k + 6); + acc_temp0 += *(A_j+k + 7) * *(B_i+k + 7); + } + A_j += 32; + + acc_temp1 = 0; + for (k = 0; k < 32; k+=8) { + acc_temp1 += *(A_j+k) * *(B_i+k); + acc_temp1 += *(A_j+k + 1) * *(B_i+k + 1); + acc_temp1 += *(A_j+k + 2) * *(B_i+k + 2); + acc_temp1 += *(A_j+k + 3) * *(B_i+k + 3); + acc_temp1 += *(A_j+k + 4) * *(B_i+k + 4); + acc_temp1 += *(A_j+k + 5) * *(B_i+k + 5); + acc_temp1 += *(A_j+k + 6) * *(B_i+k + 6); + acc_temp1 += *(A_j+k + 7) * *(B_i+k + 7); + } + C[i + j*lda] = acc_temp0; + C[i + (j+1)*lda] = acc_temp1; + } + } + } +} + +void __attribute__((noinline)) matmul_MI(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + data_t acc_temp; + data_t *A_j, *B_i; + int j_start = coreid*16; + int j_end = (coreid*16)+16; + if (coreid == 0) { + for ( i = 0; i < 32; i++ ) { + B_i = B + i; + for ( j = j_start; j < j_end; j++ ) + { + acc_temp = 0; + A_j = A + j*32; + for ( k = 0; k < 32; k++ ) + { + acc_temp += *(A_j + k) * *(B_i + k*32); + } + C[i + j*32] = acc_temp; + } + } + } else if (coreid == 1) { + for ( i = 16; i < 32; i++ ) { + B_i = B + i; + for ( j = j_start; j < j_end; j++ ) + { + acc_temp = 0; + A_j = A + j*32; + for ( k = 0; k < 32; k+=4 ) + { + acc_temp += *(A_j + k) * *(B_i + k*32); + acc_temp += *(A_j + k + 1) * *(B_i + (k+1)*32); + acc_temp += *(A_j + k + 2) * *(B_i + (k+2)*32); + acc_temp += *(A_j + k + 3) * *(B_i + (k+3)*32); + } + C[i + j*32] = acc_temp; + } + } + for ( i = 0; i < 16; i++ ) { + B_i = B + i; + for ( j = j_start; j < j_end; j++ ) + { + acc_temp = 0; + A_j = A + j*32; + for ( k = 0; k < 32; k+=4 ) + { + acc_temp += *(A_j + k) * *(B_i + k*32); + acc_temp += *(A_j + k + 1) * *(B_i + (k+1)*32); + acc_temp += *(A_j + k + 2) * *(B_i + (k+2)*32); + acc_temp += *(A_j + k + 3) * *(B_i + (k+3)*32); + } + C[i + j*32] = acc_temp; + } + } + + } +} + +void __attribute__((noinline)) matmul_MSI(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + data_t acc_temp; + data_t *A_j, *B_i; + int j_start = coreid*16; + int j_end = (coreid*16)+16; + for ( i = 0; i < 32; i++ ) { + B_i = B + i; + for ( j = j_start; j < j_end; j++ ) + { + acc_temp = 0; + A_j = A + j*32; + for ( k = 0; k < 32; k++ ) + { + acc_temp += *(A_j + k) * *(B_i + k*32); + } + C[i + j*32] = acc_temp; + } + } +} + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + // ENABLE_SHARING = false is MI + // ENABLE_SHARING = true is MSI + matmul_MI_transpose(lda, A, B, C); + //matmul_MSI(lda, A, B, C); +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + +// // Execute the provided, naive matmul +// barrier(); +// //stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); +// +// +// // verify +// //verify(ARRAY_SIZE, results_data, verify_data); +// +// // clear results from the first trial +// size_t i; +// if (coreid == 0) +// for (i=0; i < ARRAY_SIZE; i++) +// results_data[i] = 0; +// barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/bp_matmul/dataset.h b/mt/bp_matmul/dataset.h new file mode 100755 index 0000000..dde3ee4 --- /dev/null +++ b/mt/bp_matmul/dataset.h @@ -0,0 +1,174 @@ + +#define ARRAY_SIZE 1024 + + +#define DIM_SIZE 32 + +static data_t input1_data[ARRAY_SIZE] = +{ + 0, 3, 2, 0, 3, 1, 0, 3, 2, 3, 2, 0, 3, 3, 1, 2, 3, 0, 0, 1, + 1, 1, 2, 3, 1, 2, 3, 1, 1, 3, 2, 2, 0, 1, 3, 2, 2, 2, 0, 0, + 1, 0, 1, 3, 3, 0, 3, 3, 3, 3, 0, 3, 2, 1, 2, 2, 0, 0, 3, 0, + 1, 1, 0, 3, 3, 1, 2, 3, 3, 0, 1, 2, 1, 0, 1, 2, 2, 1, 0, 3, + 1, 0, 2, 2, 1, 1, 1, 1, 1, 1, 2, 0, 3, 1, 1, 2, 2, 3, 3, 1, + 3, 2, 0, 0, 0, 3, 3, 3, 2, 1, 2, 3, 1, 0, 0, 0, 0, 1, 2, 2, + 1, 1, 3, 3, 3, 1, 1, 2, 3, 1, 3, 3, 2, 3, 2, 1, 2, 3, 0, 2, + 2, 1, 1, 0, 0, 0, 0, 0, 1, 3, 3, 1, 1, 1, 2, 2, 3, 2, 1, 1, + 1, 1, 3, 0, 2, 2, 1, 3, 2, 1, 2, 2, 1, 3, 1, 3, 1, 3, 2, 3, + 1, 2, 1, 3, 2, 2, 0, 1, 0, 0, 1, 2, 3, 3, 1, 0, 0, 0, 3, 1, + 2, 3, 2, 3, 2, 0, 0, 0, 0, 0, 3, 1, 3, 0, 0, 0, 3, 1, 1, 1, + 1, 2, 1, 2, 3, 2, 0, 0, 2, 2, 3, 0, 3, 0, 0, 3, 0, 3, 1, 3, + 3, 1, 1, 1, 2, 2, 1, 3, 0, 3, 3, 1, 0, 0, 3, 2, 1, 3, 3, 3, + 1, 0, 1, 1, 2, 1, 0, 1, 1, 2, 2, 3, 1, 2, 2, 2, 0, 1, 3, 3, + 3, 2, 2, 1, 0, 1, 2, 0, 1, 1, 1, 1, 2, 3, 2, 2, 3, 3, 0, 0, + 2, 0, 0, 0, 3, 0, 1, 0, 3, 0, 0, 0, 3, 0, 0, 2, 0, 2, 0, 0, + 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 0, 2, 0, 0, 3, 3, 2, 3, 3, 0, + 1, 0, 2, 2, 0, 3, 3, 1, 1, 0, 2, 3, 2, 1, 1, 0, 1, 2, 1, 2, + 2, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 3, 3, 2, 0, 0, 1, 3, 0, 3, + 3, 0, 0, 0, 0, 3, 3, 1, 0, 0, 3, 3, 2, 1, 2, 1, 3, 3, 0, 1, + 3, 0, 2, 3, 1, 3, 3, 3, 3, 3, 0, 1, 1, 3, 0, 2, 2, 3, 1, 2, + 2, 2, 1, 3, 3, 0, 3, 0, 0, 2, 0, 2, 3, 0, 1, 3, 2, 2, 0, 0, + 2, 3, 0, 2, 2, 2, 3, 1, 0, 3, 3, 3, 3, 1, 0, 3, 3, 2, 0, 3, + 2, 0, 3, 0, 2, 0, 0, 2, 2, 1, 0, 2, 3, 1, 1, 1, 1, 2, 3, 3, + 3, 0, 0, 3, 3, 3, 2, 3, 3, 1, 2, 2, 3, 1, 2, 1, 1, 3, 0, 1, + 2, 0, 2, 0, 0, 1, 3, 2, 0, 1, 3, 2, 3, 3, 0, 0, 0, 1, 0, 3, + 3, 2, 2, 2, 1, 1, 2, 2, 1, 3, 2, 0, 1, 3, 2, 0, 2, 1, 3, 0, + 0, 0, 1, 3, 3, 2, 2, 2, 3, 1, 0, 0, 1, 1, 2, 1, 3, 1, 1, 2, + 2, 3, 2, 3, 0, 2, 3, 3, 0, 3, 0, 0, 1, 0, 0, 0, 1, 3, 1, 1, + 2, 3, 2, 1, 1, 2, 2, 2, 3, 0, 1, 1, 2, 1, 2, 0, 2, 3, 1, 3, + 0, 1, 1, 3, 0, 2, 3, 0, 1, 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 2, + 3, 0, 1, 1, 1, 1, 2, 0, 1, 2, 0, 1, 1, 1, 0, 1, 3, 2, 3, 1, + 0, 2, 1, 2, 1, 3, 3, 1, 0, 2, 2, 3, 1, 3, 1, 3, 0, 1, 0, 3, + 0, 3, 2, 0, 3, 3, 3, 0, 3, 2, 2, 2, 1, 3, 0, 0, 1, 1, 3, 0, + 1, 2, 1, 0, 0, 0, 3, 2, 2, 0, 0, 2, 1, 3, 0, 0, 3, 0, 0, 2, + 1, 1, 2, 2, 1, 3, 2, 2, 1, 1, 2, 1, 3, 2, 1, 1, 3, 0, 1, 3, + 3, 2, 2, 1, 0, 3, 2, 2, 2, 3, 0, 1, 3, 3, 2, 3, 0, 3, 2, 3, + 1, 1, 0, 0, 0, 2, 3, 0, 3, 0, 1, 1, 3, 1, 3, 2, 1, 1, 2, 1, + 3, 2, 0, 2, 1, 0, 2, 3, 2, 3, 2, 1, 2, 3, 0, 0, 1, 1, 0, 0, + 2, 1, 0, 1, 2, 2, 2, 2, 0, 3, 3, 1, 0, 0, 0, 0, 3, 1, 1, 0, + 0, 0, 0, 1, 2, 2, 1, 3, 0, 2, 3, 2, 3, 2, 2, 1, 2, 2, 3, 3, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 2, 2, 3, 1, 1, 1, 0, 0, 0, 3, 0, + 1, 0, 3, 1, 1, 3, 0, 1, 2, 2, 0, 0, 3, 3, 3, 3, 2, 1, 0, 0, + 1, 0, 2, 0, 1, 1, 0, 0, 3, 3, 2, 1, 1, 1, 0, 1, 1, 2, 2, 1, + 1, 2, 0, 3, 1, 3, 1, 0, 3, 0, 3, 1, 1, 1, 0, 2, 0, 3, 1, 0, + 1, 0, 2, 0, 2, 3, 3, 3, 1, 2, 3, 2, 2, 0, 1, 1, 0, 3, 3, 1, + 3, 3, 2, 0, 2, 0, 2, 2, 3, 3, 3, 0, 2, 3, 3, 1, 3, 2, 2, 2, + 0, 2, 3, 0, 2, 0, 3, 2, 2, 1, 1, 0, 2, 2, 2, 0, 2, 2, 0, 1, + 3, 2, 1, 3, 2, 2, 0, 3, 3, 1, 2, 2, 0, 0, 3, 2, 1, 2, 2, 1, + 3, 1, 2, 0, 0, 1, 1, 2, 1, 3, 2, 2, 3, 0, 2, 1, 3, 2, 1, 3, + 2, 3, 3, 1, 2, 1, 2, 2, 0, 0, 0, 3, 0, 2, 3, 1, 0, 0, 2, 3, + 3, 2, 2, 1 +}; + +static data_t input2_data[ARRAY_SIZE] = +{ + 1, 1, 0, 3, 1, 2, 0, 0, 0, 0, 0, 2, 1, 2, 3, 0, 0, 3, 3, 2, + 2, 1, 2, 3, 3, 0, 2, 2, 1, 1, 2, 2, 0, 2, 2, 1, 2, 3, 2, 2, + 3, 3, 2, 2, 1, 1, 1, 1, 2, 1, 2, 2, 3, 3, 3, 0, 0, 3, 2, 3, + 2, 3, 1, 2, 1, 1, 2, 2, 0, 1, 0, 3, 2, 1, 1, 1, 2, 0, 1, 2, + 2, 0, 2, 1, 3, 3, 2, 3, 2, 0, 3, 1, 3, 3, 2, 0, 1, 0, 1, 1, + 2, 2, 1, 1, 2, 2, 1, 2, 3, 3, 1, 3, 2, 2, 2, 3, 3, 1, 0, 2, + 1, 0, 0, 0, 1, 1, 2, 0, 3, 2, 3, 3, 0, 2, 3, 1, 0, 0, 2, 1, + 2, 0, 2, 1, 1, 2, 3, 1, 3, 2, 1, 0, 0, 0, 0, 0, 2, 2, 0, 2, + 1, 2, 0, 3, 2, 2, 0, 0, 3, 2, 1, 1, 3, 0, 2, 0, 0, 1, 0, 2, + 3, 3, 1, 3, 3, 0, 0, 2, 2, 0, 0, 0, 1, 0, 0, 1, 3, 0, 2, 1, + 3, 2, 2, 1, 3, 2, 0, 1, 2, 2, 3, 2, 1, 1, 1, 1, 3, 0, 1, 3, + 2, 2, 3, 1, 1, 2, 0, 2, 1, 1, 2, 3, 1, 0, 1, 0, 1, 1, 0, 0, + 2, 0, 3, 0, 3, 0, 3, 2, 2, 3, 3, 2, 1, 0, 2, 2, 1, 1, 0, 3, + 3, 2, 2, 0, 0, 3, 0, 1, 0, 0, 1, 2, 0, 1, 3, 0, 1, 2, 2, 0, + 0, 3, 0, 3, 0, 1, 1, 2, 0, 0, 0, 3, 0, 0, 2, 1, 1, 1, 0, 2, + 1, 3, 1, 2, 0, 3, 0, 3, 1, 3, 0, 0, 2, 2, 2, 2, 3, 3, 2, 1, + 2, 2, 1, 1, 2, 2, 2, 2, 0, 3, 0, 0, 2, 0, 1, 2, 0, 3, 2, 3, + 2, 0, 2, 1, 2, 1, 0, 2, 1, 1, 3, 2, 2, 3, 1, 0, 3, 3, 1, 0, + 3, 2, 2, 0, 0, 3, 0, 0, 2, 0, 3, 2, 3, 1, 1, 0, 0, 2, 3, 0, + 0, 1, 1, 1, 2, 1, 3, 2, 1, 3, 0, 1, 3, 3, 1, 1, 1, 1, 1, 1, + 0, 0, 2, 3, 2, 2, 2, 3, 2, 3, 1, 2, 3, 2, 2, 2, 0, 1, 3, 0, + 1, 1, 0, 1, 0, 1, 1, 3, 3, 1, 2, 2, 3, 2, 0, 2, 2, 0, 1, 3, + 0, 1, 3, 2, 1, 3, 3, 2, 0, 1, 3, 2, 0, 2, 1, 1, 0, 3, 0, 1, + 1, 1, 1, 1, 3, 0, 0, 1, 0, 2, 3, 1, 3, 0, 2, 1, 3, 0, 3, 0, + 3, 2, 2, 0, 0, 2, 1, 3, 3, 2, 3, 2, 2, 1, 2, 2, 3, 0, 3, 2, + 2, 0, 3, 2, 3, 2, 0, 0, 1, 2, 0, 0, 2, 0, 0, 3, 3, 2, 0, 0, + 3, 3, 0, 2, 3, 1, 0, 1, 0, 2, 1, 0, 2, 1, 0, 1, 0, 3, 0, 2, + 2, 3, 0, 0, 2, 1, 0, 1, 0, 0, 0, 2, 2, 3, 2, 0, 3, 3, 2, 1, + 0, 0, 3, 1, 2, 3, 3, 1, 0, 3, 1, 1, 0, 3, 3, 3, 2, 2, 2, 0, + 1, 2, 0, 3, 0, 1, 0, 1, 1, 0, 1, 2, 0, 3, 2, 0, 1, 2, 2, 0, + 2, 0, 0, 1, 0, 3, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 1, 1, 1, 0, + 2, 1, 1, 3, 2, 0, 2, 1, 1, 0, 2, 2, 1, 3, 0, 2, 1, 0, 1, 2, + 0, 1, 3, 2, 3, 2, 1, 0, 2, 0, 2, 2, 3, 1, 1, 3, 2, 3, 2, 2, + 0, 2, 0, 0, 0, 3, 2, 0, 2, 2, 3, 3, 3, 2, 1, 2, 0, 0, 3, 0, + 2, 0, 3, 2, 2, 3, 0, 3, 2, 1, 2, 2, 1, 2, 0, 0, 3, 1, 2, 0, + 2, 3, 2, 2, 1, 1, 1, 3, 3, 3, 3, 3, 1, 3, 0, 1, 3, 2, 2, 1, + 0, 1, 1, 2, 1, 2, 3, 1, 2, 2, 1, 2, 1, 1, 0, 3, 3, 1, 1, 3, + 2, 0, 0, 1, 2, 0, 1, 3, 1, 0, 0, 2, 2, 3, 3, 0, 2, 3, 2, 1, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 3, 3, 3, 1, 3, 0, 3, 1, 1, 2, 2, + 2, 1, 0, 3, 2, 3, 0, 2, 3, 2, 3, 1, 2, 3, 3, 1, 2, 1, 0, 0, + 0, 3, 3, 3, 3, 0, 3, 3, 3, 3, 2, 1, 0, 3, 0, 3, 2, 3, 1, 0, + 0, 1, 3, 1, 0, 2, 2, 3, 1, 0, 2, 1, 1, 3, 1, 1, 3, 1, 2, 1, + 0, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 3, 3, 1, 0, 3, 1, 1, 2, 0, + 0, 0, 2, 3, 3, 2, 2, 3, 0, 2, 3, 1, 3, 3, 0, 2, 1, 2, 2, 2, + 1, 0, 1, 3, 2, 3, 1, 1, 2, 1, 1, 0, 0, 2, 3, 2, 1, 0, 3, 1, + 3, 0, 1, 1, 2, 2, 1, 3, 3, 1, 1, 0, 0, 3, 3, 0, 0, 0, 0, 0, + 3, 1, 3, 0, 0, 0, 3, 3, 2, 1, 3, 0, 1, 3, 1, 1, 1, 0, 1, 0, + 1, 2, 2, 2, 3, 3, 0, 2, 3, 2, 1, 3, 3, 1, 1, 3, 0, 3, 3, 2, + 1, 1, 2, 0, 3, 0, 1, 2, 1, 1, 0, 0, 1, 2, 2, 0, 3, 1, 1, 1, + 3, 3, 3, 1, 0, 3, 3, 2, 2, 2, 1, 2, 0, 1, 1, 3, 0, 3, 1, 0, + 2, 2, 0, 1, 2, 3, 2, 1, 2, 0, 3, 2, 1, 3, 0, 1, 2, 0, 3, 0, + 1, 1, 2, 1 +}; + +static data_t verify_data[ARRAY_SIZE] = +{ + 72, 75, 88, 101, 80, 88, 73, 75, 80, 81, 58, 75, 86, 65, 60, 80, 84, 83, 87, 83, + 108, 93, 85, 76, 72, 98, 79, 86, 80, 96, 91, 85, 72, 64, 70, 83, 68, 92, 51, 54, + 85, 85, 60, 58, 90, 64, 55, 69, 72, 48, 94, 77, 91, 83, 70, 69, 67, 77, 59, 50, + 67, 74, 77, 67, 67, 62, 72, 71, 68, 79, 54, 61, 67, 61, 55, 62, 78, 60, 53, 64, + 67, 69, 99, 68, 88, 60, 66, 63, 70, 62, 65, 50, 53, 66, 70, 72, 75, 78, 85, 95, + 71, 89, 70, 68, 86, 88, 58, 77, 84, 70, 65, 68, 73, 75, 91, 96, 105, 92, 76, 68, + 86, 69, 80, 59, 73, 83, 88, 75, 64, 63, 71, 99, 77, 77, 69, 55, 80, 73, 54, 73, + 87, 78, 60, 69, 65, 78, 86, 89, 95, 92, 63, 69, 89, 61, 80, 65, 70, 77, 89, 77, + 79, 79, 73, 92, 64, 81, 60, 78, 81, 80, 61, 63, 89, 65, 56, 83, 77, 65, 102, 70, + 98, 86, 96, 68, 72, 89, 73, 73, 70, 89, 84, 76, 48, 61, 63, 70, 70, 79, 50, 53, + 64, 63, 43, 51, 59, 62, 43, 63, 55, 77, 79, 74, 75, 74, 64, 44, 65, 69, 72, 66, + 54, 71, 74, 72, 69, 76, 68, 89, 94, 75, 65, 53, 85, 79, 65, 74, 82, 73, 58, 70, + 84, 77, 99, 72, 92, 84, 78, 62, 59, 83, 71, 74, 63, 85, 80, 78, 71, 72, 79, 83, + 73, 82, 60, 85, 76, 82, 60, 70, 82, 68, 54, 85, 84, 70, 86, 74, 100, 88, 98, 68, + 67, 87, 69, 73, 68, 88, 76, 71, 47, 43, 47, 80, 54, 65, 40, 37, 59, 53, 33, 48, + 62, 40, 36, 55, 36, 62, 53, 57, 70, 69, 45, 43, 53, 61, 42, 57, 56, 63, 51, 47, + 59, 75, 64, 89, 83, 75, 59, 75, 91, 92, 58, 64, 83, 74, 58, 60, 76, 66, 97, 69, + 90, 95, 92, 64, 78, 75, 77, 73, 65, 78, 82, 75, 47, 54, 59, 71, 59, 56, 53, 42, + 60, 55, 40, 51, 60, 46, 36, 59, 46, 57, 67, 43, 51, 53, 53, 38, 54, 56, 55, 48, + 41, 46, 63, 63, 80, 77, 89, 102, 89, 98, 74, 86, 98, 93, 63, 76, 98, 77, 48, 101, + 86, 88, 100, 82, 102, 90, 95, 75, 86, 103, 83, 98, 80, 104, 98, 86, 71, 74, 80, 90, + 86, 87, 73, 70, 81, 83, 55, 66, 90, 66, 58, 84, 77, 84, 93, 72, 99, 75, 85, 65, + 70, 89, 71, 82, 64, 79, 82, 80, 67, 73, 86, 101, 78, 97, 66, 64, 84, 80, 55, 64, + 79, 73, 51, 79, 89, 68, 94, 77, 109, 102, 82, 61, 66, 93, 88, 70, 82, 82, 85, 69, + 69, 72, 66, 97, 85, 90, 70, 59, 76, 89, 53, 56, 90, 79, 71, 64, 70, 67, 100, 92, + 106, 89, 83, 78, 73, 80, 70, 72, 65, 70, 92, 88, 57, 76, 55, 85, 66, 80, 61, 63, + 63, 78, 54, 58, 71, 73, 54, 63, 63, 62, 89, 76, 86, 81, 83, 54, 70, 81, 78, 64, + 56, 72, 74, 81, 75, 63, 68, 89, 65, 77, 58, 68, 75, 83, 52, 62, 82, 63, 55, 75, + 51, 70, 95, 66, 83, 77, 86, 61, 64, 77, 48, 70, 66, 82, 72, 75, 79, 71, 72, 89, + 78, 78, 66, 59, 91, 80, 55, 64, 79, 68, 54, 71, 67, 75, 87, 84, 100, 101, 76, 58, + 74, 82, 61, 74, 75, 97, 85, 79, 61, 55, 69, 68, 72, 65, 52, 64, 80, 73, 48, 54, + 71, 66, 42, 61, 66, 63, 92, 64, 85, 77, 73, 54, 74, 73, 76, 66, 62, 79, 85, 70, + 71, 84, 87, 81, 88, 86, 77, 77, 93, 88, 78, 71, 101, 89, 58, 84, 95, 81, 89, 97, + 104, 79, 83, 76, 90, 81, 91, 74, 70, 76, 91, 80, 51, 48, 56, 69, 47, 63, 54, 42, + 63, 63, 42, 52, 66, 56, 39, 59, 61, 52, 59, 63, 62, 68, 57, 35, 67, 58, 56, 52, + 61, 63, 60, 47, 85, 75, 89, 106, 88, 95, 74, 82, 107, 107, 64, 78, 98, 90, 62, 91, + 79, 87, 111, 84, 104, 106, 96, 68, 94, 99, 81, 89, 79, 105, 95, 86, 65, 63, 77, 89, + 66, 88, 56, 73, 82, 92, 41, 62, 85, 66, 50, 81, 57, 71, 77, 78, 86, 89, 77, 53, + 67, 78, 61, 63, 72, 82, 69, 66, 59, 46, 55, 70, 56, 64, 45, 50, 65, 64, 42, 56, + 78, 49, 51, 52, 38, 56, 72, 55, 73, 72, 61, 50, 63, 60, 47, 57, 55, 73, 53, 68, + 85, 88, 91, 96, 82, 89, 73, 76, 87, 86, 67, 69, 96, 84, 57, 89, 87, 89, 99, 88, + 104, 90, 85, 75, 88, 92, 85, 75, 74, 87, 103, 94, 55, 48, 56, 65, 72, 50, 45, 51, + 63, 62, 47, 57, 79, 53, 36, 63, 54, 68, 71, 59, 63, 61, 63, 41, 50, 73, 57, 59, + 56, 76, 73, 65, 61, 64, 61, 79, 53, 73, 57, 44, 61, 59, 59, 56, 81, 59, 49, 62, + 65, 55, 69, 72, 79, 70, 58, 57, 68, 61, 62, 50, 57, 60, 66, 66, 63, 77, 81, 89, + 85, 81, 76, 73, 78, 95, 59, 70, 81, 77, 46, 79, 78, 79, 83, 81, 84, 82, 85, 48, + 74, 85, 85, 74, 74, 80, 80, 74, 60, 76, 80, 97, 88, 93, 66, 66, 73, 84, 56, 70, + 90, 63, 58, 78, 73, 93, 90, 78, 94, 88, 82, 67, 85, 70, 81, 86, 74, 82, 88, 82, + 68, 73, 75, 91, 78, 97, 71, 66, 74, 85, 50, 59, 86, 77, 70, 74, 75, 74, 99, 82, + 99, 91, 86, 65, 80, 77, 72, 69, 60, 78, 90, 87, 79, 69, 74, 98, 70, 86, 81, 67, + 69, 78, 48, 65, 88, 70, 70, 70, 69, 72, 96, 90, 99, 82, 81, 76, 98, 73, 74, 71, + 69, 73, 94, 89 +}; + diff --git a/mt/bp_matmul/matmul_gendata.pl b/mt/bp_matmul/matmul_gendata.pl new file mode 100755 index 0000000..f21bb46 --- /dev/null +++ b/mt/bp_matmul/matmul_gendata.pl @@ -0,0 +1,200 @@ +#!/usr/bin/perl -w +#========================================================================== +# matmul_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the matmul benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: matmul_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[ARRAY_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3d",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + + + +#-------------------------------------------------------------------------- +# Matmul +#-------------------------------------------------------------------------- + +# http://answers.oreilly.com/topic/418-how-to-multiply-matrices-in-perl/ + +sub mmult { + my ($m1,$m2) = @_; + my ($m1rows,$m1cols) = matdim($m1); + my ($m2rows,$m2cols) = matdim($m2); + + my $result = [ ]; + my ($i, $j, $k); + + for $i (range($m1rows)) { + for $j (range($m2cols)) { + for $k (range($m1cols)) { + $result->[$i][$j] += $m1->[$i][$k] * $m2->[$k][$j]; + } + } + } + return $result; +} + +sub range { 0 .. ($_[0] - 1) } + + +sub veclen { + my $ary_ref = $_[0]; + my $type = ref $ary_ref; + if ($type ne "ARRAY") { die "$type is bad array ref for $ary_ref" } + return scalar(@$ary_ref); +} + +sub matdim { + my $matrix = $_[0]; + my $rows = veclen($matrix); + my $cols = veclen($matrix->[0]); + return ($rows, $cols); +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + # create random input arrays + my $mat_values1; + my $mat_values2; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + $mat_values1->[$i][$j] = int(rand(4)); + $mat_values2->[$i][$j] = int(rand(4)); + } + } + + # perform matmul + my $mat_results = mmult( $mat_values1, $mat_values2 ); + + # translate 2d arrays to 1d-somethings (I don't know how to code in perl - Chris) + my @values1; + my @values2; + my @results; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + my $value1 = $mat_values1->[$i][$j]; + my $value2 = $mat_values2->[$i][$j]; + my $result = $mat_results->[$i][$j]; + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @results, $result ); + } + } + + print "\n\#define ARRAY_SIZE ".($opts{"size"}*$opts{"size"})." \n\n"; + print "\n\#define DIM_SIZE ".$opts{"size"}." \n\n"; + + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@results); + +} + +main(); + diff --git a/mt/bp_matmul/matmul_mi.c b/mt/bp_matmul/matmul_mi.c new file mode 100755 index 0000000..de964db --- /dev/null +++ b/mt/bp_matmul/matmul_mi.c @@ -0,0 +1,341 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + +void __attribute__((noinline)) matmul_MI_transpose(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + data_t B_trans[32*32]; + data_t acc_temp0, acc_temp1; + data_t *A_j, *B_i; + data_t *A_j_k, *B_i_k; + int z; + + //for (i = 0; i < 32; i++) { + // for (j = 0; j < 32; j++) { + // B_trans[i*lda+j] = B[i+j*lda]; + // } + //} + + if (coreid == 0) { + for (i = 0; i < 32; i++) { + B_i = B_trans+i*32; + for (z = 0; z < 32; z++) { + *(B_i+z) = B[i+z*32]; + } + for (j = 0; j < 16; j+=2) { + A_j = A+j*lda; + acc_temp0 = 0; + for (k = 0; k < 32; k+=8) { + A_j_k = A_j+k; + B_i_k = B_i+k; + acc_temp0 += *(A_j_k) * *(B_i_k); + acc_temp0 += *(A_j_k + 1) * *(B_i_k + 1); + acc_temp0 += *(A_j_k + 2) * *(B_i_k + 2); + acc_temp0 += *(A_j_k + 3) * *(B_i_k + 3); + acc_temp0 += *(A_j_k + 4) * *(B_i_k + 4); + acc_temp0 += *(A_j_k + 5) * *(B_i_k + 5); + acc_temp0 += *(A_j_k + 6) * *(B_i_k + 6); + acc_temp0 += *(A_j_k + 7) * *(B_i_k + 7); + } + A_j += 32; + + acc_temp1 = 0; + for (k = 0; k < 32; k+=8) { + acc_temp1 += *(A_j+k) * *(B_i+k); + acc_temp1 += *(A_j+k + 1) * *(B_i+k + 1); + acc_temp1 += *(A_j+k + 2) * *(B_i+k + 2); + acc_temp1 += *(A_j+k + 3) * *(B_i+k + 3); + acc_temp1 += *(A_j+k + 4) * *(B_i+k + 4); + acc_temp1 += *(A_j+k + 5) * *(B_i+k + 5); + acc_temp1 += *(A_j+k + 6) * *(B_i+k + 6); + acc_temp1 += *(A_j+k + 7) * *(B_i+k + 7); + } + + C[i + j*lda] = acc_temp0; + C[i + (j+1)*lda] = acc_temp1; + } + } + } else if (coreid == 1) { + for (i = 0; i < 32; i++) { + B_i = B_trans+i*32; + for (z = 0; z < 32; z++) { + *(B_i+z) = B[i+z*32]; + } + for (j = 16; j < 32; j+=2) { + A_j = A+j*lda; + acc_temp0 = 0; + for (k = 0; k < 32; k+=8) { + acc_temp0 += *(A_j+k) * *(B_i+k); + acc_temp0 += *(A_j+k + 1) * *(B_i+k + 1); + acc_temp0 += *(A_j+k + 2) * *(B_i+k + 2); + acc_temp0 += *(A_j+k + 3) * *(B_i+k + 3); + acc_temp0 += *(A_j+k + 4) * *(B_i+k + 4); + acc_temp0 += *(A_j+k + 5) * *(B_i+k + 5); + acc_temp0 += *(A_j+k + 6) * *(B_i+k + 6); + acc_temp0 += *(A_j+k + 7) * *(B_i+k + 7); + } + A_j += 32; + + acc_temp1 = 0; + for (k = 0; k < 32; k+=8) { + acc_temp1 += *(A_j+k) * *(B_i+k); + acc_temp1 += *(A_j+k + 1) * *(B_i+k + 1); + acc_temp1 += *(A_j+k + 2) * *(B_i+k + 2); + acc_temp1 += *(A_j+k + 3) * *(B_i+k + 3); + acc_temp1 += *(A_j+k + 4) * *(B_i+k + 4); + acc_temp1 += *(A_j+k + 5) * *(B_i+k + 5); + acc_temp1 += *(A_j+k + 6) * *(B_i+k + 6); + acc_temp1 += *(A_j+k + 7) * *(B_i+k + 7); + } + C[i + j*lda] = acc_temp0; + C[i + (j+1)*lda] = acc_temp1; + } + } + } +} + +void __attribute__((noinline)) matmul_MI(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + data_t acc_temp; + data_t *A_j, *B_i; + int j_start = coreid*16; + int j_end = (coreid*16)+16; + if (coreid == 0) { + for ( i = 0; i < 32; i++ ) { + B_i = B + i; + for ( j = j_start; j < j_end; j++ ) + { + acc_temp = 0; + A_j = A + j*32; + for ( k = 0; k < 32; k++ ) + { + acc_temp += *(A_j + k) * *(B_i + k*32); + } + C[i + j*32] = acc_temp; + } + } + } else if (coreid == 1) { + for ( i = 16; i < 32; i++ ) { + B_i = B + i; + for ( j = j_start; j < j_end; j++ ) + { + acc_temp = 0; + A_j = A + j*32; + for ( k = 0; k < 32; k+=4 ) + { + acc_temp += *(A_j + k) * *(B_i + k*32); + acc_temp += *(A_j + k + 1) * *(B_i + (k+1)*32); + acc_temp += *(A_j + k + 2) * *(B_i + (k+2)*32); + acc_temp += *(A_j + k + 3) * *(B_i + (k+3)*32); + } + C[i + j*32] = acc_temp; + } + } + for ( i = 0; i < 16; i++ ) { + B_i = B + i; + for ( j = j_start; j < j_end; j++ ) + { + acc_temp = 0; + A_j = A + j*32; + for ( k = 0; k < 32; k+=4 ) + { + acc_temp += *(A_j + k) * *(B_i + k*32); + acc_temp += *(A_j + k + 1) * *(B_i + (k+1)*32); + acc_temp += *(A_j + k + 2) * *(B_i + (k+2)*32); + acc_temp += *(A_j + k + 3) * *(B_i + (k+3)*32); + } + C[i + j*32] = acc_temp; + } + } + + } +} + +void __attribute__((noinline)) matmul_MSI(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + data_t acc_temp; + data_t *A_j, *B_i; + int j_start = coreid*16; + int j_end = (coreid*16)+16; + for ( i = 0; i < 32; i++ ) { + B_i = B + i; + for ( j = j_start; j < j_end; j++ ) + { + acc_temp = 0; + A_j = A + j*32; + for ( k = 0; k < 32; k++ ) + { + acc_temp += *(A_j + k) * *(B_i + k*32); + } + C[i + j*32] = acc_temp; + } + } +} + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + // ENABLE_SHARING = false is MI + // ENABLE_SHARING = true is MSI + matmul_MI_transpose(lda, A, B, C); + //matmul_MSI(lda, A, B, C); +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + +// // Execute the provided, naive matmul +// barrier(); +// //stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); +// +// +// // verify +// //verify(ARRAY_SIZE, results_data, verify_data); +// +// // clear results from the first trial +// size_t i; +// if (coreid == 0) +// for (i=0; i < ARRAY_SIZE; i++) +// results_data[i] = 0; +// barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/bp_vvadd/bp_vvadd.c b/mt/bp_vvadd/bp_vvadd.c new file mode 100755 index 0000000..5d073cf --- /dev/null +++ b/mt/bp_vvadd/bp_vvadd.c @@ -0,0 +1,178 @@ +//************************************************************************** +// Vector-vector add benchmark +//-------------------------------------------------------------------------- +// Author : Andrew Waterman +// TA : Christopher Celio +// Student : +// +// This benchmark adds two vectors and writes the results to a +// third vector. The input data (and reference data) should be +// generated using the vvadd_gendata.pl perl script and dumped +// to a file named dataset.h + +// to print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DATA_SIZE, 10*_c/DATA_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %4ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %4ld, correct[%d]= %4ld\n", + i, (long) test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// vvadd function + +//perform in-place vvadd +void __attribute__((noinline)) vvadd(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + size_t i; + + // interleave accesses + for (i = coreid; i < n; i+=ncores) + { + x[i] = x[i] + y[i]; + } +} + +void __attribute__((noinline)) vvadd_opt(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + size_t i; + + if (coreid == 0) { + for (i = 0; i < n/2; i++) + { + x[i] = x[i] + y[i]; + } + } else if (coreid == 1) { + for (i = n/2; i < n; i++) + { + x[i] = x[i] + y[i]; + } + } +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[DATA_SIZE]; + + // because we're going to perform an in-place vvadd (and we're going to run + // it a couple of times) let's copy the input data to a temporary results + // array + + size_t i; + if (coreid == 0) + { + for (i = 0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + + + // Execute the provided, terrible vvadd + barrier(); + stats(vvadd(DATA_SIZE, results_data, input2_data); barrier()); + + + // verify + verify(DATA_SIZE, results_data, verify_data); + + // reset results from the first trial + if (coreid == 0) + { + for (i=0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + barrier(); + + + // Execute your faster vvadd + barrier(); + stats(vvadd_opt(DATA_SIZE, results_data, input2_data); barrier()); + +#ifdef DEBUG + printArray("results: ", DATA_SIZE, results_data); + printArray("verify : ", DATA_SIZE, verify_data); +#endif + + // verify + verify(DATA_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/bp_vvadd/dataset.h b/mt/bp_vvadd/dataset.h new file mode 100755 index 0000000..ce9f936 --- /dev/null +++ b/mt/bp_vvadd/dataset.h @@ -0,0 +1,165 @@ + +#define DATA_SIZE 1000 + +static data_t input1_data[DATA_SIZE] = +{ + 0.00, 15.00, 10.00, 3.00, 14.00, 6.00, 2.00, 18.00, 11.00, 15.00, 11.00, 0.00, 17.00, 16.00, 7.00, 13.00, 18.00, 2.00, 2.00, 5.00, + 8.00, 5.00, 12.00, 14.00, 6.00, 12.00, 16.00, 7.00, 9.00, 17.00, 10.00, 10.00, 3.00, 5.00, 14.00, 11.00, 9.00, 12.00, 3.00, 1.00, + 5.00, 4.00, 6.00, 17.00, 17.00, 4.00, 17.00, 15.00, 17.00, 18.00, 3.00, 18.00, 10.00, 6.00, 12.00, 12.00, 3.00, 2.00, 16.00, 1.00, + 5.00, 6.00, 2.00, 17.00, 16.00, 5.00, 10.00, 18.00, 14.00, 4.00, 9.00, 9.00, 7.00, 4.00, 8.00, 13.00, 12.00, 6.00, 4.00, 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17.00, 17.00, 19.00, 18.00, 31.00, 11.00, 18.00, 11.00, 22.00, 12.00, 29.00, 15.00, + 35.00, 11.00, 12.00, 17.00, 18.00, 29.00, 17.00, 33.00, 33.00, 15.00, 27.00, 20.00, 29.00, 14.00, 23.00, 15.00, 21.00, 18.00, 20.00, 17.00, + 24.00, 5.00, 29.00, 13.00, 19.00, 18.00, 19.00, 13.00, 5.00, 16.00, 22.00, 14.00, 25.00, 21.00, 7.00, 17.00, 19.00, 15.00, 5.00, 16.00, + 33.00, 28.00, 10.00, 24.00, 24.00, 13.00, 11.00, 17.00, 12.00, 28.00, 21.00, 5.00, 19.00, 25.00, 13.00, 5.00, 10.00, 25.00, 21.00, 17.00, + 13.00, 20.00, 9.00, 16.00, 24.00, 18.00, 16.00, 22.00, 19.00, 10.00, 0.00, 14.00, 21.00, 24.00, 23.00, 10.00, 33.00, 23.00, 21.00, 17.00, + 17.00, 19.00, 26.00, 22.00, 12.00, 27.00, 31.00, 23.00, 6.00, 32.00, 12.00, 10.00, 9.00, 19.00, 18.00, 18.00, 20.00, 24.00, 17.00, 7.00, + 21.00, 27.00, 14.00, 20.00, 5.00, 19.00, 11.00, 18.00, 25.00, 1.00, 12.00, 21.00, 13.00, 26.00, 20.00, 3.00, 17.00, 28.00, 18.00, 16.00, + 13.00, 11.00, 11.00, 24.00, 2.00, 27.00, 18.00, 19.00, 18.00, 16.00, 25.00, 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30.00, 12.00, 21.00, 21.00, 27.00, 14.00, + 21.00, 31.00, 3.00, 21.00, 14.00, 20.00, 30.00, 20.00, 21.00, 32.00, 27.00, 24.00, 16.00, 31.00, 5.00, 20.00, 14.00, 17.00, 15.00, 16.00, + 19.00, 13.00, 4.00, 21.00, 20.00, 29.00, 10.00, 22.00, 19.00, 24.00, 29.00, 14.00, 10.00, 15.00, 18.00, 7.00, 28.00, 17.00, 7.00, 2.00, + 1.00, 19.00, 17.00, 23.00, 31.00, 13.00, 20.00, 36.00, 17.00, 27.00, 28.00, 18.00, 20.00, 29.00, 17.00, 23.00, 24.00, 23.00, 26.00, 17.00, + 9.00, 26.00, 16.00, 18.00, 10.00, 28.00, 32.00, 20.00, 19.00, 14.00, 22.00, 23.00, 13.00, 22.00, 14.00, 7.00, 20.00, 10.00, 25.00, 9.00, + 7.00, 2.00, 31.00, 16.00, 16.00, 22.00, 5.00, 15.00, 26.00, 23.00, 10.00, 18.00, 32.00, 24.00, 15.00, 30.00, 16.00, 13.00, 15.00, 7.00, + 11.00, 6.00, 21.00, 14.00, 25.00, 21.00, 11.00, 16.00, 14.00, 26.00, 25.00, 15.00, 22.00, 24.00, 4.00, 19.00, 14.00, 26.00, 22.00, 17.00, + 13.00, 14.00, 7.00, 32.00, 20.00, 33.00, 13.00, 7.00, 29.00, 8.00, 26.00, 6.00, 9.00, 13.00, 22.00, 23.00, 8.00, 22.00, 22.00, 10.00, + 24.00, 2.00, 17.00, 9.00, 22.00, 30.00, 24.00, 33.00, 25.00, 17.00, 23.00, 9.00, 13.00, 15.00, 23.00, 10.00, 1.00, 22.00, 17.00, 10.00, + 32.00, 24.00, 26.00, 4.00, 15.00, 0.00, 27.00, 23.00, 28.00, 23.00, 30.00, 7.00, 16.00, 33.00, 20.00, 14.00, 23.00, 14.00, 20.00, 14.00, + 7.00, 25.00, 24.00, 12.00, 29.00, 16.00, 17.00, 20.00, 29.00, 16.00, 13.00, 18.00, 26.00, 18.00, 18.00, 17.00, 13.00, 29.00, 14.00, 17.00, + 24.00, 16.00, 21.00, 14.00, 26.00, 9.00, 11.00, 28.00, 25.00, 15.00, 15.00, 12.00, 6.00, 14.00, 27.00, 14.00, 24.00, 18.00, 18.00, 14.00, + 32.00, 21.00, 26.00, 13.00, 6.00, 24.00, 22.00, 27.00, 17.00, 26.00, 19.00, 21.00, 19.00, 9.00, 21.00, 25.00, 17.00, 27.00, 15.00, 18.00 +}; + diff --git a/mt/bp_vvadd/vvadd_gendata.pl b/mt/bp_vvadd/vvadd_gendata.pl new file mode 100755 index 0000000..a9fceac --- /dev/null +++ b/mt/bp_vvadd/vvadd_gendata.pl @@ -0,0 +1,139 @@ +#!/usr/bin/perl -w +#========================================================================== +# vvadd_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the vvadd benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: vvadd_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[DATA_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3.2f",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + my @values1; + my @values2; + my @sum; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + my $value1 = int(rand(19)); + my $value2 = int(rand(19)); + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @sum, $value1 + $value2 ); + } + + + print "\n\#define DATA_SIZE ".$opts{"size"}." \n\n"; + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@sum ); + +} + +main(); + diff --git a/mt/br_matmul/br_matmul.c b/mt/br_matmul/br_matmul.c new file mode 100755 index 0000000..5ca1dbe --- /dev/null +++ b/mt/br_matmul/br_matmul.c @@ -0,0 +1,283 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: Benjamin Han +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + int j2, i2, k2, j, i, k; + int tmpC00, tmpC01, tmpC02, tmpC03, tmpC04, tmpC05, tmpC06, tmpC07; + int tmpC10, tmpC11, tmpC12, tmpC13, tmpC14, tmpC15, tmpC16, tmpC17; + int jBLOCK = 32; + int iBLOCK = 16; + int kBLOCK = 32; + static __thread int tB[4096]; //__thread + int startInd = 0; + int endInd = lda >> 1; + if (coreid == 1) { + startInd = lda >> 1; + endInd = lda; + } + + //tranpose B (block?) + for (i = 0; i < lda; i += 2) { + for (j = startInd; j < endInd; j += 2) { + tB[j*lda + i] = B[i*lda + j]; + tB[(j + 1)*lda + i] = B[i*lda + j + 1]; + tB[j*lda + i + 1] = B[(i + 1)*lda + j]; + tB[(j + 1)*lda + i + 1] = B[(i + 1)*lda + j + 1]; + } + } + barrier(); + + // compute C[j*n + i] += A[j*n + k] + Btranspose[i*n + k] + for ( j2 = 0; j2 < lda; j2 += jBLOCK ) + for ( i2 = startInd; i2 < endInd; i2 += iBLOCK ) + for ( j = j2; j < j2 + jBLOCK; j += 2 ) + for ( k2 = 0; k2 < lda; k2 += kBLOCK ) + for ( i = i2; i < i2 + iBLOCK; i += 4) { + tmpC00 = C[j*lda + i + 0]; tmpC10 = C[(j + 1)*lda + i + 0]; + tmpC01 = C[j*lda + i + 1]; tmpC11 = C[(j + 1)*lda + i + 1]; + tmpC02 = C[j*lda + i + 2]; tmpC12 = C[(j + 1)*lda + i + 2]; + tmpC03 = C[j*lda + i + 3]; tmpC13 = C[(j + 1)*lda + i + 3]; + //tmpC04 = C[j*lda + i + 4]; tmpC14 = C[(j + 1)*lda + i + 4]; + //tmpC05 = C[j*lda + i + 5]; tmpC15 = C[(j + 1)*lda + i + 5]; + //tmpC06 = C[j*lda + i + 6]; tmpC16 = C[(j + 1)*lda + i + 6]; + //tmpC07 = C[j*lda + i + 7]; tmpC17 = C[(j + 1)*lda + i + 7]; + for ( k = k2; k < k2 + kBLOCK; k += 4) { + tmpC00 += A[j*lda + k] * tB[(i + 0)*lda + k]; + tmpC01 += A[j*lda + k] * tB[(i + 1)*lda + k]; + tmpC02 += A[j*lda + k] * tB[(i + 2)*lda + k]; + tmpC03 += A[j*lda + k] * tB[(i + 3)*lda + k]; + //tmpC04 += A[j*lda + k] * tB[(i + 4)*lda + k]; + //tmpC05 += A[j*lda + k] * tB[(i + 5)*lda + k]; + //tmpC06 += A[j*lda + k] * tB[(i + 6)*lda + k]; + //tmpC07 += A[j*lda + k] * tB[(i + 7)*lda + k]; + tmpC10 += A[(j + 1)*lda + k] * tB[(i + 0)*lda + k]; + tmpC11 += A[(j + 1)*lda + k] * tB[(i + 1)*lda + k]; + tmpC12 += A[(j + 1)*lda + k] * tB[(i + 2)*lda + k]; + tmpC13 += A[(j + 1)*lda + k] * tB[(i + 3)*lda + k]; + //tmpC14 += A[(j + 1)*lda + k] * tB[(i + 4)*lda + k]; + //tmpC15 += A[(j + 1)*lda + k] * tB[(i + 5)*lda + k]; + //tmpC16 += A[(j + 1)*lda + k] * tB[(i + 6)*lda + k]; + //tmpC17 += A[(j + 1)*lda + k] * tB[(i + 7)*lda + k]; + + tmpC00 += A[j*lda + k + 1] * tB[(i + 0)*lda + k + 1]; + tmpC01 += A[j*lda + k + 1] * tB[(i + 1)*lda + k + 1]; + tmpC02 += A[j*lda + k + 1] * tB[(i + 2)*lda + k + 1]; + tmpC03 += A[j*lda + k + 1] * tB[(i + 3)*lda + k + 1]; + //tmpC04 += A[j*lda + k + 1] * tB[(i + 4)*lda + k + 1]; + //tmpC05 += A[j*lda + k + 1] * tB[(i + 5)*lda + k + 1]; + //tmpC06 += A[j*lda + k + 1] * tB[(i + 6)*lda + k + 1]; + //tmpC07 += A[j*lda + k + 1] * tB[(i + 7)*lda + k + 1]; + tmpC10 += A[(j + 1)*lda + k + 1] * tB[(i + 0)*lda + k + 1]; + tmpC11 += A[(j + 1)*lda + k + 1] * tB[(i + 1)*lda + k + 1]; + tmpC12 += A[(j + 1)*lda + k + 1] * tB[(i + 2)*lda + k + 1]; + tmpC13 += A[(j + 1)*lda + k + 1] * tB[(i + 3)*lda + k + 1]; + //tmpC14 += A[(j + 1)*lda + k + 1] * tB[(i + 4)*lda + k + 1]; + //tmpC15 += A[(j + 1)*lda + k + 1] * tB[(i + 5)*lda + k + 1]; + //tmpC16 += A[(j + 1)*lda + k + 1] * tB[(i + 6)*lda + k + 1]; + //tmpC17 += A[(j + 1)*lda + k + 1] * tB[(i + 7)*lda + k + 1]; + + tmpC00 += A[j*lda + k + 2] * tB[(i + 0)*lda + k + 2]; + tmpC01 += A[j*lda + k + 2] * tB[(i + 1)*lda + k + 2]; + tmpC02 += A[j*lda + k + 2] * tB[(i + 2)*lda + k + 2]; + tmpC03 += A[j*lda + k + 2] * tB[(i + 3)*lda + k + 2]; + //tmpC04 += A[j*lda + k + 2] * tB[(i + 4)*lda + k + 2]; + //tmpC05 += A[j*lda + k + 2] * tB[(i + 5)*lda + k + 2]; + //tmpC06 += A[j*lda + k + 2] * tB[(i + 6)*lda + k + 2]; + //tmpC07 += A[j*lda + k + 2] * tB[(i + 7)*lda + k + 2]; + tmpC10 += A[(j + 1)*lda + k + 2] * tB[(i + 0)*lda + k + 2]; + tmpC11 += A[(j + 1)*lda + k + 2] * tB[(i + 1)*lda + k + 2]; + tmpC12 += A[(j + 1)*lda + k + 2] * tB[(i + 2)*lda + k + 2]; + tmpC13 += A[(j + 1)*lda + k + 2] * tB[(i + 3)*lda + k + 2]; + //tmpC14 += A[(j + 1)*lda + k + 2] * tB[(i + 4)*lda + k + 2]; + //tmpC15 += A[(j + 1)*lda + k + 2] * tB[(i + 5)*lda + k + 2]; + //tmpC16 += A[(j + 1)*lda + k + 2] * tB[(i + 6)*lda + k + 2]; + //tmpC17 += A[(j + 1)*lda + k + 2] * tB[(i + 7)*lda + k + 2]; + + tmpC00 += A[j*lda + k + 3] * tB[(i + 0)*lda + k + 3]; + tmpC01 += A[j*lda + k + 3] * tB[(i + 1)*lda + k + 3]; + tmpC02 += A[j*lda + k + 3] * tB[(i + 2)*lda + k + 3]; + tmpC03 += A[j*lda + k + 3] * tB[(i + 3)*lda + k + 3]; + //tmpC04 += A[j*lda + k + 3] * tB[(i + 4)*lda + k + 3]; + //tmpC05 += A[j*lda + k + 3] * tB[(i + 5)*lda + k + 3]; + //tmpC06 += A[j*lda + k + 3] * tB[(i + 6)*lda + k + 3]; + //tmpC07 += A[j*lda + k + 3] * tB[(i + 7)*lda + k + 3]; + tmpC10 += A[(j + 1)*lda + k + 3] * tB[(i + 0)*lda + k + 3]; + tmpC11 += A[(j + 1)*lda + k + 3] * tB[(i + 1)*lda + k + 3]; + tmpC12 += A[(j + 1)*lda + k + 3] * tB[(i + 2)*lda + k + 3]; + tmpC13 += A[(j + 1)*lda + k + 3] * tB[(i + 3)*lda + k + 3]; + //tmpC14 += A[(j + 1)*lda + k + 3] * tB[(i + 4)*lda + k + 3]; + //tmpC15 += A[(j + 1)*lda + k + 3] * tB[(i + 5)*lda + k + 3]; + //tmpC16 += A[(j + 1)*lda + k + 3] * tB[(i + 6)*lda + k + 3]; + //tmpC17 += A[(j + 1)*lda + k + 3] * tB[(i + 7)*lda + k + 3]; + } + C[j*lda + i + 0] = tmpC00; C[(j + 1)*lda + i + 0] = tmpC10; + C[j*lda + i + 1] = tmpC01; C[(j + 1)*lda + i + 1] = tmpC11; + C[j*lda + i + 2] = tmpC02; C[(j + 1)*lda + i + 2] = tmpC12; + C[j*lda + i + 3] = tmpC03; C[(j + 1)*lda + i + 3] = tmpC13; + //C[j*lda + i + 4] = tmpC04; C[(j + 1)*lda + i + 4] = tmpC14; + //C[j*lda + i + 5] = tmpC05; C[(j + 1)*lda + i + 5] = tmpC15; + //C[j*lda + i + 6] = tmpC06; C[(j + 1)*lda + i + 6] = tmpC16; + //C[j*lda + i + 7] = tmpC07; C[(j + 1)*lda + i + 7] = tmpC17; + } +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + +// // Execute the provided, naive matmul +// barrier(); +// stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); +// +// +// // verify +// verify(ARRAY_SIZE, results_data, verify_data); +// +// // clear results from the first trial +// size_t i; +// if (coreid == 0) +// for (i=0; i < ARRAY_SIZE; i++) +// results_data[i] = 0; +// barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/br_matmul/dataset.h b/mt/br_matmul/dataset.h new file mode 100755 index 0000000..dde3ee4 --- /dev/null +++ b/mt/br_matmul/dataset.h @@ -0,0 +1,174 @@ + +#define ARRAY_SIZE 1024 + + +#define DIM_SIZE 32 + +static data_t input1_data[ARRAY_SIZE] = +{ + 0, 3, 2, 0, 3, 1, 0, 3, 2, 3, 2, 0, 3, 3, 1, 2, 3, 0, 0, 1, + 1, 1, 2, 3, 1, 2, 3, 1, 1, 3, 2, 2, 0, 1, 3, 2, 2, 2, 0, 0, + 1, 0, 1, 3, 3, 0, 3, 3, 3, 3, 0, 3, 2, 1, 2, 2, 0, 0, 3, 0, + 1, 1, 0, 3, 3, 1, 2, 3, 3, 0, 1, 2, 1, 0, 1, 2, 2, 1, 0, 3, + 1, 0, 2, 2, 1, 1, 1, 1, 1, 1, 2, 0, 3, 1, 1, 2, 2, 3, 3, 1, + 3, 2, 0, 0, 0, 3, 3, 3, 2, 1, 2, 3, 1, 0, 0, 0, 0, 1, 2, 2, + 1, 1, 3, 3, 3, 1, 1, 2, 3, 1, 3, 3, 2, 3, 2, 1, 2, 3, 0, 2, + 2, 1, 1, 0, 0, 0, 0, 0, 1, 3, 3, 1, 1, 1, 2, 2, 3, 2, 1, 1, + 1, 1, 3, 0, 2, 2, 1, 3, 2, 1, 2, 2, 1, 3, 1, 3, 1, 3, 2, 3, + 1, 2, 1, 3, 2, 2, 0, 1, 0, 0, 1, 2, 3, 3, 1, 0, 0, 0, 3, 1, + 2, 3, 2, 3, 2, 0, 0, 0, 0, 0, 3, 1, 3, 0, 0, 0, 3, 1, 1, 1, + 1, 2, 1, 2, 3, 2, 0, 0, 2, 2, 3, 0, 3, 0, 0, 3, 0, 3, 1, 3, + 3, 1, 1, 1, 2, 2, 1, 3, 0, 3, 3, 1, 0, 0, 3, 2, 1, 3, 3, 3, + 1, 0, 1, 1, 2, 1, 0, 1, 1, 2, 2, 3, 1, 2, 2, 2, 0, 1, 3, 3, + 3, 2, 2, 1, 0, 1, 2, 0, 1, 1, 1, 1, 2, 3, 2, 2, 3, 3, 0, 0, + 2, 0, 0, 0, 3, 0, 1, 0, 3, 0, 0, 0, 3, 0, 0, 2, 0, 2, 0, 0, + 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 0, 2, 0, 0, 3, 3, 2, 3, 3, 0, + 1, 0, 2, 2, 0, 3, 3, 1, 1, 0, 2, 3, 2, 1, 1, 0, 1, 2, 1, 2, + 2, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 3, 3, 2, 0, 0, 1, 3, 0, 3, + 3, 0, 0, 0, 0, 3, 3, 1, 0, 0, 3, 3, 2, 1, 2, 1, 3, 3, 0, 1, + 3, 0, 2, 3, 1, 3, 3, 3, 3, 3, 0, 1, 1, 3, 0, 2, 2, 3, 1, 2, + 2, 2, 1, 3, 3, 0, 3, 0, 0, 2, 0, 2, 3, 0, 1, 3, 2, 2, 0, 0, + 2, 3, 0, 2, 2, 2, 3, 1, 0, 3, 3, 3, 3, 1, 0, 3, 3, 2, 0, 3, + 2, 0, 3, 0, 2, 0, 0, 2, 2, 1, 0, 2, 3, 1, 1, 1, 1, 2, 3, 3, + 3, 0, 0, 3, 3, 3, 2, 3, 3, 1, 2, 2, 3, 1, 2, 1, 1, 3, 0, 1, + 2, 0, 2, 0, 0, 1, 3, 2, 0, 1, 3, 2, 3, 3, 0, 0, 0, 1, 0, 3, + 3, 2, 2, 2, 1, 1, 2, 2, 1, 3, 2, 0, 1, 3, 2, 0, 2, 1, 3, 0, + 0, 0, 1, 3, 3, 2, 2, 2, 3, 1, 0, 0, 1, 1, 2, 1, 3, 1, 1, 2, + 2, 3, 2, 3, 0, 2, 3, 3, 0, 3, 0, 0, 1, 0, 0, 0, 1, 3, 1, 1, + 2, 3, 2, 1, 1, 2, 2, 2, 3, 0, 1, 1, 2, 1, 2, 0, 2, 3, 1, 3, + 0, 1, 1, 3, 0, 2, 3, 0, 1, 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 2, + 3, 0, 1, 1, 1, 1, 2, 0, 1, 2, 0, 1, 1, 1, 0, 1, 3, 2, 3, 1, + 0, 2, 1, 2, 1, 3, 3, 1, 0, 2, 2, 3, 1, 3, 1, 3, 0, 1, 0, 3, + 0, 3, 2, 0, 3, 3, 3, 0, 3, 2, 2, 2, 1, 3, 0, 0, 1, 1, 3, 0, + 1, 2, 1, 0, 0, 0, 3, 2, 2, 0, 0, 2, 1, 3, 0, 0, 3, 0, 0, 2, + 1, 1, 2, 2, 1, 3, 2, 2, 1, 1, 2, 1, 3, 2, 1, 1, 3, 0, 1, 3, + 3, 2, 2, 1, 0, 3, 2, 2, 2, 3, 0, 1, 3, 3, 2, 3, 0, 3, 2, 3, + 1, 1, 0, 0, 0, 2, 3, 0, 3, 0, 1, 1, 3, 1, 3, 2, 1, 1, 2, 1, + 3, 2, 0, 2, 1, 0, 2, 3, 2, 3, 2, 1, 2, 3, 0, 0, 1, 1, 0, 0, + 2, 1, 0, 1, 2, 2, 2, 2, 0, 3, 3, 1, 0, 0, 0, 0, 3, 1, 1, 0, + 0, 0, 0, 1, 2, 2, 1, 3, 0, 2, 3, 2, 3, 2, 2, 1, 2, 2, 3, 3, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 2, 2, 3, 1, 1, 1, 0, 0, 0, 3, 0, + 1, 0, 3, 1, 1, 3, 0, 1, 2, 2, 0, 0, 3, 3, 3, 3, 2, 1, 0, 0, + 1, 0, 2, 0, 1, 1, 0, 0, 3, 3, 2, 1, 1, 1, 0, 1, 1, 2, 2, 1, + 1, 2, 0, 3, 1, 3, 1, 0, 3, 0, 3, 1, 1, 1, 0, 2, 0, 3, 1, 0, + 1, 0, 2, 0, 2, 3, 3, 3, 1, 2, 3, 2, 2, 0, 1, 1, 0, 3, 3, 1, + 3, 3, 2, 0, 2, 0, 2, 2, 3, 3, 3, 0, 2, 3, 3, 1, 3, 2, 2, 2, + 0, 2, 3, 0, 2, 0, 3, 2, 2, 1, 1, 0, 2, 2, 2, 0, 2, 2, 0, 1, + 3, 2, 1, 3, 2, 2, 0, 3, 3, 1, 2, 2, 0, 0, 3, 2, 1, 2, 2, 1, + 3, 1, 2, 0, 0, 1, 1, 2, 1, 3, 2, 2, 3, 0, 2, 1, 3, 2, 1, 3, + 2, 3, 3, 1, 2, 1, 2, 2, 0, 0, 0, 3, 0, 2, 3, 1, 0, 0, 2, 3, + 3, 2, 2, 1 +}; + +static data_t input2_data[ARRAY_SIZE] = +{ + 1, 1, 0, 3, 1, 2, 0, 0, 0, 0, 0, 2, 1, 2, 3, 0, 0, 3, 3, 2, + 2, 1, 2, 3, 3, 0, 2, 2, 1, 1, 2, 2, 0, 2, 2, 1, 2, 3, 2, 2, + 3, 3, 2, 2, 1, 1, 1, 1, 2, 1, 2, 2, 3, 3, 3, 0, 0, 3, 2, 3, + 2, 3, 1, 2, 1, 1, 2, 2, 0, 1, 0, 3, 2, 1, 1, 1, 2, 0, 1, 2, + 2, 0, 2, 1, 3, 3, 2, 3, 2, 0, 3, 1, 3, 3, 2, 0, 1, 0, 1, 1, + 2, 2, 1, 1, 2, 2, 1, 2, 3, 3, 1, 3, 2, 2, 2, 3, 3, 1, 0, 2, + 1, 0, 0, 0, 1, 1, 2, 0, 3, 2, 3, 3, 0, 2, 3, 1, 0, 0, 2, 1, + 2, 0, 2, 1, 1, 2, 3, 1, 3, 2, 1, 0, 0, 0, 0, 0, 2, 2, 0, 2, + 1, 2, 0, 3, 2, 2, 0, 0, 3, 2, 1, 1, 3, 0, 2, 0, 0, 1, 0, 2, + 3, 3, 1, 3, 3, 0, 0, 2, 2, 0, 0, 0, 1, 0, 0, 1, 3, 0, 2, 1, + 3, 2, 2, 1, 3, 2, 0, 1, 2, 2, 3, 2, 1, 1, 1, 1, 3, 0, 1, 3, + 2, 2, 3, 1, 1, 2, 0, 2, 1, 1, 2, 3, 1, 0, 1, 0, 1, 1, 0, 0, + 2, 0, 3, 0, 3, 0, 3, 2, 2, 3, 3, 2, 1, 0, 2, 2, 1, 1, 0, 3, + 3, 2, 2, 0, 0, 3, 0, 1, 0, 0, 1, 2, 0, 1, 3, 0, 1, 2, 2, 0, + 0, 3, 0, 3, 0, 1, 1, 2, 0, 0, 0, 3, 0, 0, 2, 1, 1, 1, 0, 2, + 1, 3, 1, 2, 0, 3, 0, 3, 1, 3, 0, 0, 2, 2, 2, 2, 3, 3, 2, 1, + 2, 2, 1, 1, 2, 2, 2, 2, 0, 3, 0, 0, 2, 0, 1, 2, 0, 3, 2, 3, + 2, 0, 2, 1, 2, 1, 0, 2, 1, 1, 3, 2, 2, 3, 1, 0, 3, 3, 1, 0, + 3, 2, 2, 0, 0, 3, 0, 0, 2, 0, 3, 2, 3, 1, 1, 0, 0, 2, 3, 0, + 0, 1, 1, 1, 2, 1, 3, 2, 1, 3, 0, 1, 3, 3, 1, 1, 1, 1, 1, 1, + 0, 0, 2, 3, 2, 2, 2, 3, 2, 3, 1, 2, 3, 2, 2, 2, 0, 1, 3, 0, + 1, 1, 0, 1, 0, 1, 1, 3, 3, 1, 2, 2, 3, 2, 0, 2, 2, 0, 1, 3, + 0, 1, 3, 2, 1, 3, 3, 2, 0, 1, 3, 2, 0, 2, 1, 1, 0, 3, 0, 1, + 1, 1, 1, 1, 3, 0, 0, 1, 0, 2, 3, 1, 3, 0, 2, 1, 3, 0, 3, 0, + 3, 2, 2, 0, 0, 2, 1, 3, 3, 2, 3, 2, 2, 1, 2, 2, 3, 0, 3, 2, + 2, 0, 3, 2, 3, 2, 0, 0, 1, 2, 0, 0, 2, 0, 0, 3, 3, 2, 0, 0, + 3, 3, 0, 2, 3, 1, 0, 1, 0, 2, 1, 0, 2, 1, 0, 1, 0, 3, 0, 2, + 2, 3, 0, 0, 2, 1, 0, 1, 0, 0, 0, 2, 2, 3, 2, 0, 3, 3, 2, 1, + 0, 0, 3, 1, 2, 3, 3, 1, 0, 3, 1, 1, 0, 3, 3, 3, 2, 2, 2, 0, + 1, 2, 0, 3, 0, 1, 0, 1, 1, 0, 1, 2, 0, 3, 2, 0, 1, 2, 2, 0, + 2, 0, 0, 1, 0, 3, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 1, 1, 1, 0, + 2, 1, 1, 3, 2, 0, 2, 1, 1, 0, 2, 2, 1, 3, 0, 2, 1, 0, 1, 2, + 0, 1, 3, 2, 3, 2, 1, 0, 2, 0, 2, 2, 3, 1, 1, 3, 2, 3, 2, 2, + 0, 2, 0, 0, 0, 3, 2, 0, 2, 2, 3, 3, 3, 2, 1, 2, 0, 0, 3, 0, + 2, 0, 3, 2, 2, 3, 0, 3, 2, 1, 2, 2, 1, 2, 0, 0, 3, 1, 2, 0, + 2, 3, 2, 2, 1, 1, 1, 3, 3, 3, 3, 3, 1, 3, 0, 1, 3, 2, 2, 1, + 0, 1, 1, 2, 1, 2, 3, 1, 2, 2, 1, 2, 1, 1, 0, 3, 3, 1, 1, 3, + 2, 0, 0, 1, 2, 0, 1, 3, 1, 0, 0, 2, 2, 3, 3, 0, 2, 3, 2, 1, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 3, 3, 3, 1, 3, 0, 3, 1, 1, 2, 2, + 2, 1, 0, 3, 2, 3, 0, 2, 3, 2, 3, 1, 2, 3, 3, 1, 2, 1, 0, 0, + 0, 3, 3, 3, 3, 0, 3, 3, 3, 3, 2, 1, 0, 3, 0, 3, 2, 3, 1, 0, + 0, 1, 3, 1, 0, 2, 2, 3, 1, 0, 2, 1, 1, 3, 1, 1, 3, 1, 2, 1, + 0, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 3, 3, 1, 0, 3, 1, 1, 2, 0, + 0, 0, 2, 3, 3, 2, 2, 3, 0, 2, 3, 1, 3, 3, 0, 2, 1, 2, 2, 2, + 1, 0, 1, 3, 2, 3, 1, 1, 2, 1, 1, 0, 0, 2, 3, 2, 1, 0, 3, 1, + 3, 0, 1, 1, 2, 2, 1, 3, 3, 1, 1, 0, 0, 3, 3, 0, 0, 0, 0, 0, + 3, 1, 3, 0, 0, 0, 3, 3, 2, 1, 3, 0, 1, 3, 1, 1, 1, 0, 1, 0, + 1, 2, 2, 2, 3, 3, 0, 2, 3, 2, 1, 3, 3, 1, 1, 3, 0, 3, 3, 2, + 1, 1, 2, 0, 3, 0, 1, 2, 1, 1, 0, 0, 1, 2, 2, 0, 3, 1, 1, 1, + 3, 3, 3, 1, 0, 3, 3, 2, 2, 2, 1, 2, 0, 1, 1, 3, 0, 3, 1, 0, + 2, 2, 0, 1, 2, 3, 2, 1, 2, 0, 3, 2, 1, 3, 0, 1, 2, 0, 3, 0, + 1, 1, 2, 1 +}; + +static data_t verify_data[ARRAY_SIZE] = +{ + 72, 75, 88, 101, 80, 88, 73, 75, 80, 81, 58, 75, 86, 65, 60, 80, 84, 83, 87, 83, + 108, 93, 85, 76, 72, 98, 79, 86, 80, 96, 91, 85, 72, 64, 70, 83, 68, 92, 51, 54, + 85, 85, 60, 58, 90, 64, 55, 69, 72, 48, 94, 77, 91, 83, 70, 69, 67, 77, 59, 50, + 67, 74, 77, 67, 67, 62, 72, 71, 68, 79, 54, 61, 67, 61, 55, 62, 78, 60, 53, 64, + 67, 69, 99, 68, 88, 60, 66, 63, 70, 62, 65, 50, 53, 66, 70, 72, 75, 78, 85, 95, + 71, 89, 70, 68, 86, 88, 58, 77, 84, 70, 65, 68, 73, 75, 91, 96, 105, 92, 76, 68, + 86, 69, 80, 59, 73, 83, 88, 75, 64, 63, 71, 99, 77, 77, 69, 55, 80, 73, 54, 73, + 87, 78, 60, 69, 65, 78, 86, 89, 95, 92, 63, 69, 89, 61, 80, 65, 70, 77, 89, 77, + 79, 79, 73, 92, 64, 81, 60, 78, 81, 80, 61, 63, 89, 65, 56, 83, 77, 65, 102, 70, + 98, 86, 96, 68, 72, 89, 73, 73, 70, 89, 84, 76, 48, 61, 63, 70, 70, 79, 50, 53, + 64, 63, 43, 51, 59, 62, 43, 63, 55, 77, 79, 74, 75, 74, 64, 44, 65, 69, 72, 66, + 54, 71, 74, 72, 69, 76, 68, 89, 94, 75, 65, 53, 85, 79, 65, 74, 82, 73, 58, 70, + 84, 77, 99, 72, 92, 84, 78, 62, 59, 83, 71, 74, 63, 85, 80, 78, 71, 72, 79, 83, + 73, 82, 60, 85, 76, 82, 60, 70, 82, 68, 54, 85, 84, 70, 86, 74, 100, 88, 98, 68, + 67, 87, 69, 73, 68, 88, 76, 71, 47, 43, 47, 80, 54, 65, 40, 37, 59, 53, 33, 48, + 62, 40, 36, 55, 36, 62, 53, 57, 70, 69, 45, 43, 53, 61, 42, 57, 56, 63, 51, 47, + 59, 75, 64, 89, 83, 75, 59, 75, 91, 92, 58, 64, 83, 74, 58, 60, 76, 66, 97, 69, + 90, 95, 92, 64, 78, 75, 77, 73, 65, 78, 82, 75, 47, 54, 59, 71, 59, 56, 53, 42, + 60, 55, 40, 51, 60, 46, 36, 59, 46, 57, 67, 43, 51, 53, 53, 38, 54, 56, 55, 48, + 41, 46, 63, 63, 80, 77, 89, 102, 89, 98, 74, 86, 98, 93, 63, 76, 98, 77, 48, 101, + 86, 88, 100, 82, 102, 90, 95, 75, 86, 103, 83, 98, 80, 104, 98, 86, 71, 74, 80, 90, + 86, 87, 73, 70, 81, 83, 55, 66, 90, 66, 58, 84, 77, 84, 93, 72, 99, 75, 85, 65, + 70, 89, 71, 82, 64, 79, 82, 80, 67, 73, 86, 101, 78, 97, 66, 64, 84, 80, 55, 64, + 79, 73, 51, 79, 89, 68, 94, 77, 109, 102, 82, 61, 66, 93, 88, 70, 82, 82, 85, 69, + 69, 72, 66, 97, 85, 90, 70, 59, 76, 89, 53, 56, 90, 79, 71, 64, 70, 67, 100, 92, + 106, 89, 83, 78, 73, 80, 70, 72, 65, 70, 92, 88, 57, 76, 55, 85, 66, 80, 61, 63, + 63, 78, 54, 58, 71, 73, 54, 63, 63, 62, 89, 76, 86, 81, 83, 54, 70, 81, 78, 64, + 56, 72, 74, 81, 75, 63, 68, 89, 65, 77, 58, 68, 75, 83, 52, 62, 82, 63, 55, 75, + 51, 70, 95, 66, 83, 77, 86, 61, 64, 77, 48, 70, 66, 82, 72, 75, 79, 71, 72, 89, + 78, 78, 66, 59, 91, 80, 55, 64, 79, 68, 54, 71, 67, 75, 87, 84, 100, 101, 76, 58, + 74, 82, 61, 74, 75, 97, 85, 79, 61, 55, 69, 68, 72, 65, 52, 64, 80, 73, 48, 54, + 71, 66, 42, 61, 66, 63, 92, 64, 85, 77, 73, 54, 74, 73, 76, 66, 62, 79, 85, 70, + 71, 84, 87, 81, 88, 86, 77, 77, 93, 88, 78, 71, 101, 89, 58, 84, 95, 81, 89, 97, + 104, 79, 83, 76, 90, 81, 91, 74, 70, 76, 91, 80, 51, 48, 56, 69, 47, 63, 54, 42, + 63, 63, 42, 52, 66, 56, 39, 59, 61, 52, 59, 63, 62, 68, 57, 35, 67, 58, 56, 52, + 61, 63, 60, 47, 85, 75, 89, 106, 88, 95, 74, 82, 107, 107, 64, 78, 98, 90, 62, 91, + 79, 87, 111, 84, 104, 106, 96, 68, 94, 99, 81, 89, 79, 105, 95, 86, 65, 63, 77, 89, + 66, 88, 56, 73, 82, 92, 41, 62, 85, 66, 50, 81, 57, 71, 77, 78, 86, 89, 77, 53, + 67, 78, 61, 63, 72, 82, 69, 66, 59, 46, 55, 70, 56, 64, 45, 50, 65, 64, 42, 56, + 78, 49, 51, 52, 38, 56, 72, 55, 73, 72, 61, 50, 63, 60, 47, 57, 55, 73, 53, 68, + 85, 88, 91, 96, 82, 89, 73, 76, 87, 86, 67, 69, 96, 84, 57, 89, 87, 89, 99, 88, + 104, 90, 85, 75, 88, 92, 85, 75, 74, 87, 103, 94, 55, 48, 56, 65, 72, 50, 45, 51, + 63, 62, 47, 57, 79, 53, 36, 63, 54, 68, 71, 59, 63, 61, 63, 41, 50, 73, 57, 59, + 56, 76, 73, 65, 61, 64, 61, 79, 53, 73, 57, 44, 61, 59, 59, 56, 81, 59, 49, 62, + 65, 55, 69, 72, 79, 70, 58, 57, 68, 61, 62, 50, 57, 60, 66, 66, 63, 77, 81, 89, + 85, 81, 76, 73, 78, 95, 59, 70, 81, 77, 46, 79, 78, 79, 83, 81, 84, 82, 85, 48, + 74, 85, 85, 74, 74, 80, 80, 74, 60, 76, 80, 97, 88, 93, 66, 66, 73, 84, 56, 70, + 90, 63, 58, 78, 73, 93, 90, 78, 94, 88, 82, 67, 85, 70, 81, 86, 74, 82, 88, 82, + 68, 73, 75, 91, 78, 97, 71, 66, 74, 85, 50, 59, 86, 77, 70, 74, 75, 74, 99, 82, + 99, 91, 86, 65, 80, 77, 72, 69, 60, 78, 90, 87, 79, 69, 74, 98, 70, 86, 81, 67, + 69, 78, 48, 65, 88, 70, 70, 70, 69, 72, 96, 90, 99, 82, 81, 76, 98, 73, 74, 71, + 69, 73, 94, 89 +}; + diff --git a/mt/br_matmul/matmul_gendata.pl b/mt/br_matmul/matmul_gendata.pl new file mode 100755 index 0000000..f21bb46 --- /dev/null +++ b/mt/br_matmul/matmul_gendata.pl @@ -0,0 +1,200 @@ +#!/usr/bin/perl -w +#========================================================================== +# matmul_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the matmul benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: matmul_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[ARRAY_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3d",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + + + +#-------------------------------------------------------------------------- +# Matmul +#-------------------------------------------------------------------------- + +# http://answers.oreilly.com/topic/418-how-to-multiply-matrices-in-perl/ + +sub mmult { + my ($m1,$m2) = @_; + my ($m1rows,$m1cols) = matdim($m1); + my ($m2rows,$m2cols) = matdim($m2); + + my $result = [ ]; + my ($i, $j, $k); + + for $i (range($m1rows)) { + for $j (range($m2cols)) { + for $k (range($m1cols)) { + $result->[$i][$j] += $m1->[$i][$k] * $m2->[$k][$j]; + } + } + } + return $result; +} + +sub range { 0 .. ($_[0] - 1) } + + +sub veclen { + my $ary_ref = $_[0]; + my $type = ref $ary_ref; + if ($type ne "ARRAY") { die "$type is bad array ref for $ary_ref" } + return scalar(@$ary_ref); +} + +sub matdim { + my $matrix = $_[0]; + my $rows = veclen($matrix); + my $cols = veclen($matrix->[0]); + return ($rows, $cols); +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + # create random input arrays + my $mat_values1; + my $mat_values2; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + $mat_values1->[$i][$j] = int(rand(4)); + $mat_values2->[$i][$j] = int(rand(4)); + } + } + + # perform matmul + my $mat_results = mmult( $mat_values1, $mat_values2 ); + + # translate 2d arrays to 1d-somethings (I don't know how to code in perl - Chris) + my @values1; + my @values2; + my @results; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + my $value1 = $mat_values1->[$i][$j]; + my $value2 = $mat_values2->[$i][$j]; + my $result = $mat_results->[$i][$j]; + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @results, $result ); + } + } + + print "\n\#define ARRAY_SIZE ".($opts{"size"}*$opts{"size"})." \n\n"; + print "\n\#define DIM_SIZE ".$opts{"size"}." \n\n"; + + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@results); + +} + +main(); + diff --git a/mt/br_matmul/matmul_mi.c b/mt/br_matmul/matmul_mi.c new file mode 100755 index 0000000..5ca1dbe --- /dev/null +++ b/mt/br_matmul/matmul_mi.c @@ -0,0 +1,283 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: Benjamin Han +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + int j2, i2, k2, j, i, k; + int tmpC00, tmpC01, tmpC02, tmpC03, tmpC04, tmpC05, tmpC06, tmpC07; + int tmpC10, tmpC11, tmpC12, tmpC13, tmpC14, tmpC15, tmpC16, tmpC17; + int jBLOCK = 32; + int iBLOCK = 16; + int kBLOCK = 32; + static __thread int tB[4096]; //__thread + int startInd = 0; + int endInd = lda >> 1; + if (coreid == 1) { + startInd = lda >> 1; + endInd = lda; + } + + //tranpose B (block?) + for (i = 0; i < lda; i += 2) { + for (j = startInd; j < endInd; j += 2) { + tB[j*lda + i] = B[i*lda + j]; + tB[(j + 1)*lda + i] = B[i*lda + j + 1]; + tB[j*lda + i + 1] = B[(i + 1)*lda + j]; + tB[(j + 1)*lda + i + 1] = B[(i + 1)*lda + j + 1]; + } + } + barrier(); + + // compute C[j*n + i] += A[j*n + k] + Btranspose[i*n + k] + for ( j2 = 0; j2 < lda; j2 += jBLOCK ) + for ( i2 = startInd; i2 < endInd; i2 += iBLOCK ) + for ( j = j2; j < j2 + jBLOCK; j += 2 ) + for ( k2 = 0; k2 < lda; k2 += kBLOCK ) + for ( i = i2; i < i2 + iBLOCK; i += 4) { + tmpC00 = C[j*lda + i + 0]; tmpC10 = C[(j + 1)*lda + i + 0]; + tmpC01 = C[j*lda + i + 1]; tmpC11 = C[(j + 1)*lda + i + 1]; + tmpC02 = C[j*lda + i + 2]; tmpC12 = C[(j + 1)*lda + i + 2]; + tmpC03 = C[j*lda + i + 3]; tmpC13 = C[(j + 1)*lda + i + 3]; + //tmpC04 = C[j*lda + i + 4]; tmpC14 = C[(j + 1)*lda + i + 4]; + //tmpC05 = C[j*lda + i + 5]; tmpC15 = C[(j + 1)*lda + i + 5]; + //tmpC06 = C[j*lda + i + 6]; tmpC16 = C[(j + 1)*lda + i + 6]; + //tmpC07 = C[j*lda + i + 7]; tmpC17 = C[(j + 1)*lda + i + 7]; + for ( k = k2; k < k2 + kBLOCK; k += 4) { + tmpC00 += A[j*lda + k] * tB[(i + 0)*lda + k]; + tmpC01 += A[j*lda + k] * tB[(i + 1)*lda + k]; + tmpC02 += A[j*lda + k] * tB[(i + 2)*lda + k]; + tmpC03 += A[j*lda + k] * tB[(i + 3)*lda + k]; + //tmpC04 += A[j*lda + k] * tB[(i + 4)*lda + k]; + //tmpC05 += A[j*lda + k] * tB[(i + 5)*lda + k]; + //tmpC06 += A[j*lda + k] * tB[(i + 6)*lda + k]; + //tmpC07 += A[j*lda + k] * tB[(i + 7)*lda + k]; + tmpC10 += A[(j + 1)*lda + k] * tB[(i + 0)*lda + k]; + tmpC11 += A[(j + 1)*lda + k] * tB[(i + 1)*lda + k]; + tmpC12 += A[(j + 1)*lda + k] * tB[(i + 2)*lda + k]; + tmpC13 += A[(j + 1)*lda + k] * tB[(i + 3)*lda + k]; + //tmpC14 += A[(j + 1)*lda + k] * tB[(i + 4)*lda + k]; + //tmpC15 += A[(j + 1)*lda + k] * tB[(i + 5)*lda + k]; + //tmpC16 += A[(j + 1)*lda + k] * tB[(i + 6)*lda + k]; + //tmpC17 += A[(j + 1)*lda + k] * tB[(i + 7)*lda + k]; + + tmpC00 += A[j*lda + k + 1] * tB[(i + 0)*lda + k + 1]; + tmpC01 += A[j*lda + k + 1] * tB[(i + 1)*lda + k + 1]; + tmpC02 += A[j*lda + k + 1] * tB[(i + 2)*lda + k + 1]; + tmpC03 += A[j*lda + k + 1] * tB[(i + 3)*lda + k + 1]; + //tmpC04 += A[j*lda + k + 1] * tB[(i + 4)*lda + k + 1]; + //tmpC05 += A[j*lda + k + 1] * tB[(i + 5)*lda + k + 1]; + //tmpC06 += A[j*lda + k + 1] * tB[(i + 6)*lda + k + 1]; + //tmpC07 += A[j*lda + k + 1] * tB[(i + 7)*lda + k + 1]; + tmpC10 += A[(j + 1)*lda + k + 1] * tB[(i + 0)*lda + k + 1]; + tmpC11 += A[(j + 1)*lda + k + 1] * tB[(i + 1)*lda + k + 1]; + tmpC12 += A[(j + 1)*lda + k + 1] * tB[(i + 2)*lda + k + 1]; + tmpC13 += A[(j + 1)*lda + k + 1] * tB[(i + 3)*lda + k + 1]; + //tmpC14 += A[(j + 1)*lda + k + 1] * tB[(i + 4)*lda + k + 1]; + //tmpC15 += A[(j + 1)*lda + k + 1] * tB[(i + 5)*lda + k + 1]; + //tmpC16 += A[(j + 1)*lda + k + 1] * tB[(i + 6)*lda + k + 1]; + //tmpC17 += A[(j + 1)*lda + k + 1] * tB[(i + 7)*lda + k + 1]; + + tmpC00 += A[j*lda + k + 2] * tB[(i + 0)*lda + k + 2]; + tmpC01 += A[j*lda + k + 2] * tB[(i + 1)*lda + k + 2]; + tmpC02 += A[j*lda + k + 2] * tB[(i + 2)*lda + k + 2]; + tmpC03 += A[j*lda + k + 2] * tB[(i + 3)*lda + k + 2]; + //tmpC04 += A[j*lda + k + 2] * tB[(i + 4)*lda + k + 2]; + //tmpC05 += A[j*lda + k + 2] * tB[(i + 5)*lda + k + 2]; + //tmpC06 += A[j*lda + k + 2] * tB[(i + 6)*lda + k + 2]; + //tmpC07 += A[j*lda + k + 2] * tB[(i + 7)*lda + k + 2]; + tmpC10 += A[(j + 1)*lda + k + 2] * tB[(i + 0)*lda + k + 2]; + tmpC11 += A[(j + 1)*lda + k + 2] * tB[(i + 1)*lda + k + 2]; + tmpC12 += A[(j + 1)*lda + k + 2] * tB[(i + 2)*lda + k + 2]; + tmpC13 += A[(j + 1)*lda + k + 2] * tB[(i + 3)*lda + k + 2]; + //tmpC14 += A[(j + 1)*lda + k + 2] * tB[(i + 4)*lda + k + 2]; + //tmpC15 += A[(j + 1)*lda + k + 2] * tB[(i + 5)*lda + k + 2]; + //tmpC16 += A[(j + 1)*lda + k + 2] * tB[(i + 6)*lda + k + 2]; + //tmpC17 += A[(j + 1)*lda + k + 2] * tB[(i + 7)*lda + k + 2]; + + tmpC00 += A[j*lda + k + 3] * tB[(i + 0)*lda + k + 3]; + tmpC01 += A[j*lda + k + 3] * tB[(i + 1)*lda + k + 3]; + tmpC02 += A[j*lda + k + 3] * tB[(i + 2)*lda + k + 3]; + tmpC03 += A[j*lda + k + 3] * tB[(i + 3)*lda + k + 3]; + //tmpC04 += A[j*lda + k + 3] * tB[(i + 4)*lda + k + 3]; + //tmpC05 += A[j*lda + k + 3] * tB[(i + 5)*lda + k + 3]; + //tmpC06 += A[j*lda + k + 3] * tB[(i + 6)*lda + k + 3]; + //tmpC07 += A[j*lda + k + 3] * tB[(i + 7)*lda + k + 3]; + tmpC10 += A[(j + 1)*lda + k + 3] * tB[(i + 0)*lda + k + 3]; + tmpC11 += A[(j + 1)*lda + k + 3] * tB[(i + 1)*lda + k + 3]; + tmpC12 += A[(j + 1)*lda + k + 3] * tB[(i + 2)*lda + k + 3]; + tmpC13 += A[(j + 1)*lda + k + 3] * tB[(i + 3)*lda + k + 3]; + //tmpC14 += A[(j + 1)*lda + k + 3] * tB[(i + 4)*lda + k + 3]; + //tmpC15 += A[(j + 1)*lda + k + 3] * tB[(i + 5)*lda + k + 3]; + //tmpC16 += A[(j + 1)*lda + k + 3] * tB[(i + 6)*lda + k + 3]; + //tmpC17 += A[(j + 1)*lda + k + 3] * tB[(i + 7)*lda + k + 3]; + } + C[j*lda + i + 0] = tmpC00; C[(j + 1)*lda + i + 0] = tmpC10; + C[j*lda + i + 1] = tmpC01; C[(j + 1)*lda + i + 1] = tmpC11; + C[j*lda + i + 2] = tmpC02; C[(j + 1)*lda + i + 2] = tmpC12; + C[j*lda + i + 3] = tmpC03; C[(j + 1)*lda + i + 3] = tmpC13; + //C[j*lda + i + 4] = tmpC04; C[(j + 1)*lda + i + 4] = tmpC14; + //C[j*lda + i + 5] = tmpC05; C[(j + 1)*lda + i + 5] = tmpC15; + //C[j*lda + i + 6] = tmpC06; C[(j + 1)*lda + i + 6] = tmpC16; + //C[j*lda + i + 7] = tmpC07; C[(j + 1)*lda + i + 7] = tmpC17; + } +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + +// // Execute the provided, naive matmul +// barrier(); +// stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); +// +// +// // verify +// verify(ARRAY_SIZE, results_data, verify_data); +// +// // clear results from the first trial +// size_t i; +// if (coreid == 0) +// for (i=0; i < ARRAY_SIZE; i++) +// results_data[i] = 0; +// barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/br_vvadd/br_vvadd.c b/mt/br_vvadd/br_vvadd.c new file mode 100755 index 0000000..b27ed64 --- /dev/null +++ b/mt/br_vvadd/br_vvadd.c @@ -0,0 +1,174 @@ +//************************************************************************** +// Vector-vector add benchmark +//-------------------------------------------------------------------------- +// Author : Andrew Waterman +// TA : Christopher Celio +// Student : Benjamin Han +// +// This benchmark adds two vectors and writes the results to a +// third vector. The input data (and reference data) should be +// generated using the vvadd_gendata.pl perl script and dumped +// to a file named dataset.h + +// to print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DATA_SIZE, 10*_c/DATA_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %4ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %4ld, correct[%d]= %4ld\n", + i, (long) test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// vvadd function + +//perform in-place vvadd +void __attribute__((noinline)) vvadd(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + size_t i; + + // interleave accesses + for (i = coreid; i < n; i+=ncores) + { + x[i] = x[i] + y[i]; + } +} + +void __attribute__((noinline)) vvadd_opt(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + int startInd = 0; + int endInd = n >> 1; + if (coreid == 1) { + startInd = n >> 1; + endInd = n; + } + for (size_t i = startInd ; i < endInd; i+=1) { + x[i] = x[i] + y[i]; + } +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[DATA_SIZE]; + + // because we're going to perform an in-place vvadd (and we're going to run + // it a couple of times) let's copy the input data to a temporary results + // array + + size_t i; + if (coreid == 0) + { + for (i = 0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + + + // Execute the provided, terrible vvadd + barrier(); + stats(vvadd(DATA_SIZE, results_data, input2_data); barrier()); + + + // verify + verify(DATA_SIZE, results_data, verify_data); + + // reset results from the first trial + if (coreid == 0) + { + for (i=0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + barrier(); + + + // Execute your faster vvadd + barrier(); + stats(vvadd_opt(DATA_SIZE, results_data, input2_data); barrier()); + +#ifdef DEBUG + printArray("results: ", DATA_SIZE, results_data); + printArray("verify : ", DATA_SIZE, verify_data); +#endif + + // verify + verify(DATA_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/br_vvadd/dataset.h b/mt/br_vvadd/dataset.h new file mode 100755 index 0000000..ce9f936 --- /dev/null +++ b/mt/br_vvadd/dataset.h @@ -0,0 +1,165 @@ + +#define DATA_SIZE 1000 + +static data_t input1_data[DATA_SIZE] = +{ + 0.00, 15.00, 10.00, 3.00, 14.00, 6.00, 2.00, 18.00, 11.00, 15.00, 11.00, 0.00, 17.00, 16.00, 7.00, 13.00, 18.00, 2.00, 2.00, 5.00, + 8.00, 5.00, 12.00, 14.00, 6.00, 12.00, 16.00, 7.00, 9.00, 17.00, 10.00, 10.00, 3.00, 5.00, 14.00, 11.00, 9.00, 12.00, 3.00, 1.00, + 5.00, 4.00, 6.00, 17.00, 17.00, 4.00, 17.00, 15.00, 17.00, 18.00, 3.00, 18.00, 10.00, 6.00, 12.00, 12.00, 3.00, 2.00, 16.00, 1.00, + 5.00, 6.00, 2.00, 17.00, 16.00, 5.00, 10.00, 18.00, 14.00, 4.00, 9.00, 9.00, 7.00, 4.00, 8.00, 13.00, 12.00, 6.00, 4.00, 17.00, + 5.00, 2.00, 11.00, 11.00, 7.00, 6.00, 8.00, 5.00, 6.00, 6.00, 11.00, 1.00, 18.00, 7.00, 6.00, 9.00, 10.00, 17.00, 14.00, 4.00, + 14.00, 11.00, 2.00, 0.00, 2.00, 17.00, 17.00, 15.00, 10.00, 8.00, 12.00, 18.00, 5.00, 0.00, 0.00, 1.00, 1.00, 8.00, 11.00, 11.00, + 7.00, 5.00, 15.00, 18.00, 15.00, 6.00, 8.00, 9.00, 18.00, 6.00, 15.00, 16.00, 10.00, 18.00, 13.00, 6.00, 10.00, 16.00, 0.00, 10.00, + 12.00, 8.00, 8.00, 3.00, 0.00, 1.00, 4.00, 0.00, 8.00, 15.00, 16.00, 9.00, 7.00, 7.00, 10.00, 9.00, 16.00, 12.00, 5.00, 5.00, + 9.00, 5.00, 17.00, 4.00, 13.00, 13.00, 4.00, 14.00, 10.00, 5.00, 10.00, 10.00, 6.00, 18.00, 5.00, 15.00, 5.00, 15.00, 13.00, 18.00, + 6.00, 13.00, 5.00, 18.00, 12.00, 14.00, 1.00, 7.00, 2.00, 1.00, 7.00, 12.00, 15.00, 15.00, 6.00, 2.00, 1.00, 2.00, 18.00, 6.00, + 10.00, 14.00, 9.00, 15.00, 11.00, 0.00, 3.00, 1.00, 2.00, 2.00, 14.00, 7.00, 18.00, 0.00, 2.00, 2.00, 16.00, 8.00, 4.00, 5.00, + 7.00, 11.00, 7.00, 10.00, 14.00, 10.00, 3.00, 0.00, 13.00, 9.00, 14.00, 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12.00, 11.00, 17.00, 4.00, 13.00, 7.00, 16.00, 12.00, 7.00, 18.00 +}; + +static data_t input2_data[DATA_SIZE] = +{ + 8.00, 6.00, 0.00, 18.00, 6.00, 10.00, 1.00, 2.00, 4.00, 2.00, 4.00, 10.00, 6.00, 11.00, 17.00, 4.00, 0.00, 16.00, 14.00, 12.00, + 9.00, 8.00, 13.00, 15.00, 18.00, 2.00, 13.00, 10.00, 5.00, 4.00, 12.00, 9.00, 1.00, 13.00, 12.00, 7.00, 10.00, 17.00, 11.00, 10.00, + 18.00, 15.00, 11.00, 12.00, 7.00, 9.00, 6.00, 5.00, 11.00, 7.00, 10.00, 12.00, 18.00, 18.00, 15.00, 1.00, 3.00, 18.00, 11.00, 16.00, + 13.00, 18.00, 4.00, 13.00, 8.00, 7.00, 10.00, 13.00, 0.00, 9.00, 1.00, 16.00, 13.00, 7.00, 5.00, 5.00, 11.00, 1.00, 6.00, 10.00, + 12.00, 3.00, 10.00, 5.00, 15.00, 15.00, 13.00, 14.00, 14.00, 1.00, 18.00, 5.00, 16.00, 14.00, 10.00, 4.00, 8.00, 4.00, 6.00, 6.00, + 13.00, 14.00, 8.00, 5.00, 14.00, 10.00, 9.00, 10.00, 17.00, 15.00, 6.00, 16.00, 12.00, 9.00, 10.00, 16.00, 16.00, 8.00, 1.00, 12.00, + 7.00, 0.00, 0.00, 3.00, 5.00, 7.00, 10.00, 3.00, 17.00, 10.00, 18.00, 16.00, 1.00, 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22.00, 10.00, + 24.00, 2.00, 17.00, 9.00, 22.00, 30.00, 24.00, 33.00, 25.00, 17.00, 23.00, 9.00, 13.00, 15.00, 23.00, 10.00, 1.00, 22.00, 17.00, 10.00, + 32.00, 24.00, 26.00, 4.00, 15.00, 0.00, 27.00, 23.00, 28.00, 23.00, 30.00, 7.00, 16.00, 33.00, 20.00, 14.00, 23.00, 14.00, 20.00, 14.00, + 7.00, 25.00, 24.00, 12.00, 29.00, 16.00, 17.00, 20.00, 29.00, 16.00, 13.00, 18.00, 26.00, 18.00, 18.00, 17.00, 13.00, 29.00, 14.00, 17.00, + 24.00, 16.00, 21.00, 14.00, 26.00, 9.00, 11.00, 28.00, 25.00, 15.00, 15.00, 12.00, 6.00, 14.00, 27.00, 14.00, 24.00, 18.00, 18.00, 14.00, + 32.00, 21.00, 26.00, 13.00, 6.00, 24.00, 22.00, 27.00, 17.00, 26.00, 19.00, 21.00, 19.00, 9.00, 21.00, 25.00, 17.00, 27.00, 15.00, 18.00 +}; + diff --git a/mt/br_vvadd/vvadd_gendata.pl b/mt/br_vvadd/vvadd_gendata.pl new file mode 100755 index 0000000..a9fceac --- /dev/null +++ b/mt/br_vvadd/vvadd_gendata.pl @@ -0,0 +1,139 @@ +#!/usr/bin/perl -w +#========================================================================== +# vvadd_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the vvadd benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: vvadd_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[DATA_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3.2f",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + my @values1; + my @values2; + my @sum; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + my $value1 = int(rand(19)); + my $value2 = int(rand(19)); + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @sum, $value1 + $value2 ); + } + + + print "\n\#define DATA_SIZE ".$opts{"size"}." \n\n"; + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@sum ); + +} + +main(); + diff --git a/mt/bs_matmul/bs_matmul.c b/mt/bs_matmul/bs_matmul.c new file mode 100755 index 0000000..f382a42 --- /dev/null +++ b/mt/bs_matmul/bs_matmul.c @@ -0,0 +1,184 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: Ryan Ricks +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i,j,k,a,b,a1,a2,a3,c; + for (j=coreid; j<lda; j+=8){ + a=j*lda; + a1=(j+2)*lda; + a2=(j+4)*lda; + a3=(j+6)*lda; + for (k=0;k<lda; k++) + { + b = k*lda; + for (i=0;i<lda;i++){ + c = B[b+i]; + C[i+a]+=A[a+k]*c; + C[i+a1]+=A[a1+k]*c; + C[i+a2]+=A[a2+k]*c; + C[i+a3]+=A[a3+k]*c; +} +} +} +// ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + +// // Execute the provided, naive matmul +// barrier(); +// stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); +// +// +// // verify +// verify(ARRAY_SIZE, results_data, verify_data); +// +// // clear results from the first trial +// size_t i; +// if (coreid == 0) +// for (i=0; i < ARRAY_SIZE; i++) +// results_data[i] = 0; +// barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/bs_matmul/dataset.h b/mt/bs_matmul/dataset.h new file mode 100755 index 0000000..dde3ee4 --- /dev/null +++ b/mt/bs_matmul/dataset.h @@ -0,0 +1,174 @@ + +#define ARRAY_SIZE 1024 + + +#define DIM_SIZE 32 + +static data_t input1_data[ARRAY_SIZE] = +{ + 0, 3, 2, 0, 3, 1, 0, 3, 2, 3, 2, 0, 3, 3, 1, 2, 3, 0, 0, 1, + 1, 1, 2, 3, 1, 2, 3, 1, 1, 3, 2, 2, 0, 1, 3, 2, 2, 2, 0, 0, + 1, 0, 1, 3, 3, 0, 3, 3, 3, 3, 0, 3, 2, 1, 2, 2, 0, 0, 3, 0, + 1, 1, 0, 3, 3, 1, 2, 3, 3, 0, 1, 2, 1, 0, 1, 2, 2, 1, 0, 3, + 1, 0, 2, 2, 1, 1, 1, 1, 1, 1, 2, 0, 3, 1, 1, 2, 2, 3, 3, 1, + 3, 2, 0, 0, 0, 3, 3, 3, 2, 1, 2, 3, 1, 0, 0, 0, 0, 1, 2, 2, + 1, 1, 3, 3, 3, 1, 1, 2, 3, 1, 3, 3, 2, 3, 2, 1, 2, 3, 0, 2, + 2, 1, 1, 0, 0, 0, 0, 0, 1, 3, 3, 1, 1, 1, 2, 2, 3, 2, 1, 1, + 1, 1, 3, 0, 2, 2, 1, 3, 2, 1, 2, 2, 1, 3, 1, 3, 1, 3, 2, 3, + 1, 2, 1, 3, 2, 2, 0, 1, 0, 0, 1, 2, 3, 3, 1, 0, 0, 0, 3, 1, + 2, 3, 2, 3, 2, 0, 0, 0, 0, 0, 3, 1, 3, 0, 0, 0, 3, 1, 1, 1, + 1, 2, 1, 2, 3, 2, 0, 0, 2, 2, 3, 0, 3, 0, 0, 3, 0, 3, 1, 3, + 3, 1, 1, 1, 2, 2, 1, 3, 0, 3, 3, 1, 0, 0, 3, 2, 1, 3, 3, 3, + 1, 0, 1, 1, 2, 1, 0, 1, 1, 2, 2, 3, 1, 2, 2, 2, 0, 1, 3, 3, + 3, 2, 2, 1, 0, 1, 2, 0, 1, 1, 1, 1, 2, 3, 2, 2, 3, 3, 0, 0, + 2, 0, 0, 0, 3, 0, 1, 0, 3, 0, 0, 0, 3, 0, 0, 2, 0, 2, 0, 0, + 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 0, 2, 0, 0, 3, 3, 2, 3, 3, 0, + 1, 0, 2, 2, 0, 3, 3, 1, 1, 0, 2, 3, 2, 1, 1, 0, 1, 2, 1, 2, + 2, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 3, 3, 2, 0, 0, 1, 3, 0, 3, + 3, 0, 0, 0, 0, 3, 3, 1, 0, 0, 3, 3, 2, 1, 2, 1, 3, 3, 0, 1, + 3, 0, 2, 3, 1, 3, 3, 3, 3, 3, 0, 1, 1, 3, 0, 2, 2, 3, 1, 2, + 2, 2, 1, 3, 3, 0, 3, 0, 0, 2, 0, 2, 3, 0, 1, 3, 2, 2, 0, 0, + 2, 3, 0, 2, 2, 2, 3, 1, 0, 3, 3, 3, 3, 1, 0, 3, 3, 2, 0, 3, + 2, 0, 3, 0, 2, 0, 0, 2, 2, 1, 0, 2, 3, 1, 1, 1, 1, 2, 3, 3, + 3, 0, 0, 3, 3, 3, 2, 3, 3, 1, 2, 2, 3, 1, 2, 1, 1, 3, 0, 1, + 2, 0, 2, 0, 0, 1, 3, 2, 0, 1, 3, 2, 3, 3, 0, 0, 0, 1, 0, 3, + 3, 2, 2, 2, 1, 1, 2, 2, 1, 3, 2, 0, 1, 3, 2, 0, 2, 1, 3, 0, + 0, 0, 1, 3, 3, 2, 2, 2, 3, 1, 0, 0, 1, 1, 2, 1, 3, 1, 1, 2, + 2, 3, 2, 3, 0, 2, 3, 3, 0, 3, 0, 0, 1, 0, 0, 0, 1, 3, 1, 1, + 2, 3, 2, 1, 1, 2, 2, 2, 3, 0, 1, 1, 2, 1, 2, 0, 2, 3, 1, 3, + 0, 1, 1, 3, 0, 2, 3, 0, 1, 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 2, + 3, 0, 1, 1, 1, 1, 2, 0, 1, 2, 0, 1, 1, 1, 0, 1, 3, 2, 3, 1, + 0, 2, 1, 2, 1, 3, 3, 1, 0, 2, 2, 3, 1, 3, 1, 3, 0, 1, 0, 3, + 0, 3, 2, 0, 3, 3, 3, 0, 3, 2, 2, 2, 1, 3, 0, 0, 1, 1, 3, 0, + 1, 2, 1, 0, 0, 0, 3, 2, 2, 0, 0, 2, 1, 3, 0, 0, 3, 0, 0, 2, + 1, 1, 2, 2, 1, 3, 2, 2, 1, 1, 2, 1, 3, 2, 1, 1, 3, 0, 1, 3, + 3, 2, 2, 1, 0, 3, 2, 2, 2, 3, 0, 1, 3, 3, 2, 3, 0, 3, 2, 3, + 1, 1, 0, 0, 0, 2, 3, 0, 3, 0, 1, 1, 3, 1, 3, 2, 1, 1, 2, 1, + 3, 2, 0, 2, 1, 0, 2, 3, 2, 3, 2, 1, 2, 3, 0, 0, 1, 1, 0, 0, + 2, 1, 0, 1, 2, 2, 2, 2, 0, 3, 3, 1, 0, 0, 0, 0, 3, 1, 1, 0, + 0, 0, 0, 1, 2, 2, 1, 3, 0, 2, 3, 2, 3, 2, 2, 1, 2, 2, 3, 3, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 2, 2, 3, 1, 1, 1, 0, 0, 0, 3, 0, + 1, 0, 3, 1, 1, 3, 0, 1, 2, 2, 0, 0, 3, 3, 3, 3, 2, 1, 0, 0, + 1, 0, 2, 0, 1, 1, 0, 0, 3, 3, 2, 1, 1, 1, 0, 1, 1, 2, 2, 1, + 1, 2, 0, 3, 1, 3, 1, 0, 3, 0, 3, 1, 1, 1, 0, 2, 0, 3, 1, 0, + 1, 0, 2, 0, 2, 3, 3, 3, 1, 2, 3, 2, 2, 0, 1, 1, 0, 3, 3, 1, + 3, 3, 2, 0, 2, 0, 2, 2, 3, 3, 3, 0, 2, 3, 3, 1, 3, 2, 2, 2, + 0, 2, 3, 0, 2, 0, 3, 2, 2, 1, 1, 0, 2, 2, 2, 0, 2, 2, 0, 1, + 3, 2, 1, 3, 2, 2, 0, 3, 3, 1, 2, 2, 0, 0, 3, 2, 1, 2, 2, 1, + 3, 1, 2, 0, 0, 1, 1, 2, 1, 3, 2, 2, 3, 0, 2, 1, 3, 2, 1, 3, + 2, 3, 3, 1, 2, 1, 2, 2, 0, 0, 0, 3, 0, 2, 3, 1, 0, 0, 2, 3, + 3, 2, 2, 1 +}; + +static data_t input2_data[ARRAY_SIZE] = +{ + 1, 1, 0, 3, 1, 2, 0, 0, 0, 0, 0, 2, 1, 2, 3, 0, 0, 3, 3, 2, + 2, 1, 2, 3, 3, 0, 2, 2, 1, 1, 2, 2, 0, 2, 2, 1, 2, 3, 2, 2, + 3, 3, 2, 2, 1, 1, 1, 1, 2, 1, 2, 2, 3, 3, 3, 0, 0, 3, 2, 3, + 2, 3, 1, 2, 1, 1, 2, 2, 0, 1, 0, 3, 2, 1, 1, 1, 2, 0, 1, 2, + 2, 0, 2, 1, 3, 3, 2, 3, 2, 0, 3, 1, 3, 3, 2, 0, 1, 0, 1, 1, + 2, 2, 1, 1, 2, 2, 1, 2, 3, 3, 1, 3, 2, 2, 2, 3, 3, 1, 0, 2, + 1, 0, 0, 0, 1, 1, 2, 0, 3, 2, 3, 3, 0, 2, 3, 1, 0, 0, 2, 1, + 2, 0, 2, 1, 1, 2, 3, 1, 3, 2, 1, 0, 0, 0, 0, 0, 2, 2, 0, 2, + 1, 2, 0, 3, 2, 2, 0, 0, 3, 2, 1, 1, 3, 0, 2, 0, 0, 1, 0, 2, + 3, 3, 1, 3, 3, 0, 0, 2, 2, 0, 0, 0, 1, 0, 0, 1, 3, 0, 2, 1, + 3, 2, 2, 1, 3, 2, 0, 1, 2, 2, 3, 2, 1, 1, 1, 1, 3, 0, 1, 3, + 2, 2, 3, 1, 1, 2, 0, 2, 1, 1, 2, 3, 1, 0, 1, 0, 1, 1, 0, 0, + 2, 0, 3, 0, 3, 0, 3, 2, 2, 3, 3, 2, 1, 0, 2, 2, 1, 1, 0, 3, + 3, 2, 2, 0, 0, 3, 0, 1, 0, 0, 1, 2, 0, 1, 3, 0, 1, 2, 2, 0, + 0, 3, 0, 3, 0, 1, 1, 2, 0, 0, 0, 3, 0, 0, 2, 1, 1, 1, 0, 2, + 1, 3, 1, 2, 0, 3, 0, 3, 1, 3, 0, 0, 2, 2, 2, 2, 3, 3, 2, 1, + 2, 2, 1, 1, 2, 2, 2, 2, 0, 3, 0, 0, 2, 0, 1, 2, 0, 3, 2, 3, + 2, 0, 2, 1, 2, 1, 0, 2, 1, 1, 3, 2, 2, 3, 1, 0, 3, 3, 1, 0, + 3, 2, 2, 0, 0, 3, 0, 0, 2, 0, 3, 2, 3, 1, 1, 0, 0, 2, 3, 0, + 0, 1, 1, 1, 2, 1, 3, 2, 1, 3, 0, 1, 3, 3, 1, 1, 1, 1, 1, 1, + 0, 0, 2, 3, 2, 2, 2, 3, 2, 3, 1, 2, 3, 2, 2, 2, 0, 1, 3, 0, + 1, 1, 0, 1, 0, 1, 1, 3, 3, 1, 2, 2, 3, 2, 0, 2, 2, 0, 1, 3, + 0, 1, 3, 2, 1, 3, 3, 2, 0, 1, 3, 2, 0, 2, 1, 1, 0, 3, 0, 1, + 1, 1, 1, 1, 3, 0, 0, 1, 0, 2, 3, 1, 3, 0, 2, 1, 3, 0, 3, 0, + 3, 2, 2, 0, 0, 2, 1, 3, 3, 2, 3, 2, 2, 1, 2, 2, 3, 0, 3, 2, + 2, 0, 3, 2, 3, 2, 0, 0, 1, 2, 0, 0, 2, 0, 0, 3, 3, 2, 0, 0, + 3, 3, 0, 2, 3, 1, 0, 1, 0, 2, 1, 0, 2, 1, 0, 1, 0, 3, 0, 2, + 2, 3, 0, 0, 2, 1, 0, 1, 0, 0, 0, 2, 2, 3, 2, 0, 3, 3, 2, 1, + 0, 0, 3, 1, 2, 3, 3, 1, 0, 3, 1, 1, 0, 3, 3, 3, 2, 2, 2, 0, + 1, 2, 0, 3, 0, 1, 0, 1, 1, 0, 1, 2, 0, 3, 2, 0, 1, 2, 2, 0, + 2, 0, 0, 1, 0, 3, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 1, 1, 1, 0, + 2, 1, 1, 3, 2, 0, 2, 1, 1, 0, 2, 2, 1, 3, 0, 2, 1, 0, 1, 2, + 0, 1, 3, 2, 3, 2, 1, 0, 2, 0, 2, 2, 3, 1, 1, 3, 2, 3, 2, 2, + 0, 2, 0, 0, 0, 3, 2, 0, 2, 2, 3, 3, 3, 2, 1, 2, 0, 0, 3, 0, + 2, 0, 3, 2, 2, 3, 0, 3, 2, 1, 2, 2, 1, 2, 0, 0, 3, 1, 2, 0, + 2, 3, 2, 2, 1, 1, 1, 3, 3, 3, 3, 3, 1, 3, 0, 1, 3, 2, 2, 1, + 0, 1, 1, 2, 1, 2, 3, 1, 2, 2, 1, 2, 1, 1, 0, 3, 3, 1, 1, 3, + 2, 0, 0, 1, 2, 0, 1, 3, 1, 0, 0, 2, 2, 3, 3, 0, 2, 3, 2, 1, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 3, 3, 3, 1, 3, 0, 3, 1, 1, 2, 2, + 2, 1, 0, 3, 2, 3, 0, 2, 3, 2, 3, 1, 2, 3, 3, 1, 2, 1, 0, 0, + 0, 3, 3, 3, 3, 0, 3, 3, 3, 3, 2, 1, 0, 3, 0, 3, 2, 3, 1, 0, + 0, 1, 3, 1, 0, 2, 2, 3, 1, 0, 2, 1, 1, 3, 1, 1, 3, 1, 2, 1, + 0, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 3, 3, 1, 0, 3, 1, 1, 2, 0, + 0, 0, 2, 3, 3, 2, 2, 3, 0, 2, 3, 1, 3, 3, 0, 2, 1, 2, 2, 2, + 1, 0, 1, 3, 2, 3, 1, 1, 2, 1, 1, 0, 0, 2, 3, 2, 1, 0, 3, 1, + 3, 0, 1, 1, 2, 2, 1, 3, 3, 1, 1, 0, 0, 3, 3, 0, 0, 0, 0, 0, + 3, 1, 3, 0, 0, 0, 3, 3, 2, 1, 3, 0, 1, 3, 1, 1, 1, 0, 1, 0, + 1, 2, 2, 2, 3, 3, 0, 2, 3, 2, 1, 3, 3, 1, 1, 3, 0, 3, 3, 2, + 1, 1, 2, 0, 3, 0, 1, 2, 1, 1, 0, 0, 1, 2, 2, 0, 3, 1, 1, 1, + 3, 3, 3, 1, 0, 3, 3, 2, 2, 2, 1, 2, 0, 1, 1, 3, 0, 3, 1, 0, + 2, 2, 0, 1, 2, 3, 2, 1, 2, 0, 3, 2, 1, 3, 0, 1, 2, 0, 3, 0, + 1, 1, 2, 1 +}; + +static data_t verify_data[ARRAY_SIZE] = +{ + 72, 75, 88, 101, 80, 88, 73, 75, 80, 81, 58, 75, 86, 65, 60, 80, 84, 83, 87, 83, + 108, 93, 85, 76, 72, 98, 79, 86, 80, 96, 91, 85, 72, 64, 70, 83, 68, 92, 51, 54, + 85, 85, 60, 58, 90, 64, 55, 69, 72, 48, 94, 77, 91, 83, 70, 69, 67, 77, 59, 50, + 67, 74, 77, 67, 67, 62, 72, 71, 68, 79, 54, 61, 67, 61, 55, 62, 78, 60, 53, 64, + 67, 69, 99, 68, 88, 60, 66, 63, 70, 62, 65, 50, 53, 66, 70, 72, 75, 78, 85, 95, + 71, 89, 70, 68, 86, 88, 58, 77, 84, 70, 65, 68, 73, 75, 91, 96, 105, 92, 76, 68, + 86, 69, 80, 59, 73, 83, 88, 75, 64, 63, 71, 99, 77, 77, 69, 55, 80, 73, 54, 73, + 87, 78, 60, 69, 65, 78, 86, 89, 95, 92, 63, 69, 89, 61, 80, 65, 70, 77, 89, 77, + 79, 79, 73, 92, 64, 81, 60, 78, 81, 80, 61, 63, 89, 65, 56, 83, 77, 65, 102, 70, + 98, 86, 96, 68, 72, 89, 73, 73, 70, 89, 84, 76, 48, 61, 63, 70, 70, 79, 50, 53, + 64, 63, 43, 51, 59, 62, 43, 63, 55, 77, 79, 74, 75, 74, 64, 44, 65, 69, 72, 66, + 54, 71, 74, 72, 69, 76, 68, 89, 94, 75, 65, 53, 85, 79, 65, 74, 82, 73, 58, 70, + 84, 77, 99, 72, 92, 84, 78, 62, 59, 83, 71, 74, 63, 85, 80, 78, 71, 72, 79, 83, + 73, 82, 60, 85, 76, 82, 60, 70, 82, 68, 54, 85, 84, 70, 86, 74, 100, 88, 98, 68, + 67, 87, 69, 73, 68, 88, 76, 71, 47, 43, 47, 80, 54, 65, 40, 37, 59, 53, 33, 48, + 62, 40, 36, 55, 36, 62, 53, 57, 70, 69, 45, 43, 53, 61, 42, 57, 56, 63, 51, 47, + 59, 75, 64, 89, 83, 75, 59, 75, 91, 92, 58, 64, 83, 74, 58, 60, 76, 66, 97, 69, + 90, 95, 92, 64, 78, 75, 77, 73, 65, 78, 82, 75, 47, 54, 59, 71, 59, 56, 53, 42, + 60, 55, 40, 51, 60, 46, 36, 59, 46, 57, 67, 43, 51, 53, 53, 38, 54, 56, 55, 48, + 41, 46, 63, 63, 80, 77, 89, 102, 89, 98, 74, 86, 98, 93, 63, 76, 98, 77, 48, 101, + 86, 88, 100, 82, 102, 90, 95, 75, 86, 103, 83, 98, 80, 104, 98, 86, 71, 74, 80, 90, + 86, 87, 73, 70, 81, 83, 55, 66, 90, 66, 58, 84, 77, 84, 93, 72, 99, 75, 85, 65, + 70, 89, 71, 82, 64, 79, 82, 80, 67, 73, 86, 101, 78, 97, 66, 64, 84, 80, 55, 64, + 79, 73, 51, 79, 89, 68, 94, 77, 109, 102, 82, 61, 66, 93, 88, 70, 82, 82, 85, 69, + 69, 72, 66, 97, 85, 90, 70, 59, 76, 89, 53, 56, 90, 79, 71, 64, 70, 67, 100, 92, + 106, 89, 83, 78, 73, 80, 70, 72, 65, 70, 92, 88, 57, 76, 55, 85, 66, 80, 61, 63, + 63, 78, 54, 58, 71, 73, 54, 63, 63, 62, 89, 76, 86, 81, 83, 54, 70, 81, 78, 64, + 56, 72, 74, 81, 75, 63, 68, 89, 65, 77, 58, 68, 75, 83, 52, 62, 82, 63, 55, 75, + 51, 70, 95, 66, 83, 77, 86, 61, 64, 77, 48, 70, 66, 82, 72, 75, 79, 71, 72, 89, + 78, 78, 66, 59, 91, 80, 55, 64, 79, 68, 54, 71, 67, 75, 87, 84, 100, 101, 76, 58, + 74, 82, 61, 74, 75, 97, 85, 79, 61, 55, 69, 68, 72, 65, 52, 64, 80, 73, 48, 54, + 71, 66, 42, 61, 66, 63, 92, 64, 85, 77, 73, 54, 74, 73, 76, 66, 62, 79, 85, 70, + 71, 84, 87, 81, 88, 86, 77, 77, 93, 88, 78, 71, 101, 89, 58, 84, 95, 81, 89, 97, + 104, 79, 83, 76, 90, 81, 91, 74, 70, 76, 91, 80, 51, 48, 56, 69, 47, 63, 54, 42, + 63, 63, 42, 52, 66, 56, 39, 59, 61, 52, 59, 63, 62, 68, 57, 35, 67, 58, 56, 52, + 61, 63, 60, 47, 85, 75, 89, 106, 88, 95, 74, 82, 107, 107, 64, 78, 98, 90, 62, 91, + 79, 87, 111, 84, 104, 106, 96, 68, 94, 99, 81, 89, 79, 105, 95, 86, 65, 63, 77, 89, + 66, 88, 56, 73, 82, 92, 41, 62, 85, 66, 50, 81, 57, 71, 77, 78, 86, 89, 77, 53, + 67, 78, 61, 63, 72, 82, 69, 66, 59, 46, 55, 70, 56, 64, 45, 50, 65, 64, 42, 56, + 78, 49, 51, 52, 38, 56, 72, 55, 73, 72, 61, 50, 63, 60, 47, 57, 55, 73, 53, 68, + 85, 88, 91, 96, 82, 89, 73, 76, 87, 86, 67, 69, 96, 84, 57, 89, 87, 89, 99, 88, + 104, 90, 85, 75, 88, 92, 85, 75, 74, 87, 103, 94, 55, 48, 56, 65, 72, 50, 45, 51, + 63, 62, 47, 57, 79, 53, 36, 63, 54, 68, 71, 59, 63, 61, 63, 41, 50, 73, 57, 59, + 56, 76, 73, 65, 61, 64, 61, 79, 53, 73, 57, 44, 61, 59, 59, 56, 81, 59, 49, 62, + 65, 55, 69, 72, 79, 70, 58, 57, 68, 61, 62, 50, 57, 60, 66, 66, 63, 77, 81, 89, + 85, 81, 76, 73, 78, 95, 59, 70, 81, 77, 46, 79, 78, 79, 83, 81, 84, 82, 85, 48, + 74, 85, 85, 74, 74, 80, 80, 74, 60, 76, 80, 97, 88, 93, 66, 66, 73, 84, 56, 70, + 90, 63, 58, 78, 73, 93, 90, 78, 94, 88, 82, 67, 85, 70, 81, 86, 74, 82, 88, 82, + 68, 73, 75, 91, 78, 97, 71, 66, 74, 85, 50, 59, 86, 77, 70, 74, 75, 74, 99, 82, + 99, 91, 86, 65, 80, 77, 72, 69, 60, 78, 90, 87, 79, 69, 74, 98, 70, 86, 81, 67, + 69, 78, 48, 65, 88, 70, 70, 70, 69, 72, 96, 90, 99, 82, 81, 76, 98, 73, 74, 71, + 69, 73, 94, 89 +}; + diff --git a/mt/bs_matmul/matmul_gendata.pl b/mt/bs_matmul/matmul_gendata.pl new file mode 100755 index 0000000..f21bb46 --- /dev/null +++ b/mt/bs_matmul/matmul_gendata.pl @@ -0,0 +1,200 @@ +#!/usr/bin/perl -w +#========================================================================== +# matmul_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the matmul benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: matmul_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[ARRAY_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3d",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + + + +#-------------------------------------------------------------------------- +# Matmul +#-------------------------------------------------------------------------- + +# http://answers.oreilly.com/topic/418-how-to-multiply-matrices-in-perl/ + +sub mmult { + my ($m1,$m2) = @_; + my ($m1rows,$m1cols) = matdim($m1); + my ($m2rows,$m2cols) = matdim($m2); + + my $result = [ ]; + my ($i, $j, $k); + + for $i (range($m1rows)) { + for $j (range($m2cols)) { + for $k (range($m1cols)) { + $result->[$i][$j] += $m1->[$i][$k] * $m2->[$k][$j]; + } + } + } + return $result; +} + +sub range { 0 .. ($_[0] - 1) } + + +sub veclen { + my $ary_ref = $_[0]; + my $type = ref $ary_ref; + if ($type ne "ARRAY") { die "$type is bad array ref for $ary_ref" } + return scalar(@$ary_ref); +} + +sub matdim { + my $matrix = $_[0]; + my $rows = veclen($matrix); + my $cols = veclen($matrix->[0]); + return ($rows, $cols); +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + # create random input arrays + my $mat_values1; + my $mat_values2; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + $mat_values1->[$i][$j] = int(rand(4)); + $mat_values2->[$i][$j] = int(rand(4)); + } + } + + # perform matmul + my $mat_results = mmult( $mat_values1, $mat_values2 ); + + # translate 2d arrays to 1d-somethings (I don't know how to code in perl - Chris) + my @values1; + my @values2; + my @results; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + my $value1 = $mat_values1->[$i][$j]; + my $value2 = $mat_values2->[$i][$j]; + my $result = $mat_results->[$i][$j]; + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @results, $result ); + } + } + + print "\n\#define ARRAY_SIZE ".($opts{"size"}*$opts{"size"})." \n\n"; + print "\n\#define DIM_SIZE ".$opts{"size"}." \n\n"; + + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@results); + +} + +main(); + diff --git a/mt/bs_matmul/matmul_mi.c b/mt/bs_matmul/matmul_mi.c new file mode 100644 index 0000000..d1500d2 --- /dev/null +++ b/mt/bs_matmul/matmul_mi.c @@ -0,0 +1,190 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ +int i,j,k,a,b,b1,a1,a2,a3,c,c1,c2,c3,b2,b3; + for (j=coreid*4; j<lda; j+=8){ + a=j*lda; + a1=(j+1)*lda; + a2=(j+2)*lda; + a3=(j+3)*lda; + for (k=0;k<lda; k+=2) + { + b = k*lda; + b1 = (k+1)*lda; + for (i=0;i<lda;i++){ + c = B[b+i]; + c1 = B[b1+i]; + C[i+a]+=A[a+k]*c; + C[i+a1]+=A[a1+k]*c; + C[i+a2]+=A[a2+k]*c; + C[i+a3]+=A[a3+k]*c; + C[i+a]+=A[a+k+1]*c1; + C[i+a1]+=A[a1+k+1]*c1; + C[i+a2]+=A[a2+k+1]*c1; + C[i+a3]+=A[a3+k+1]*c1; +} +} +} + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + +// // Execute the provided, naive matmul +// barrier(); +// stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); +// +// +// // verify +// verify(ARRAY_SIZE, results_data, verify_data); +// +// // clear results from the first trial +// size_t i; +// if (coreid == 0) +// for (i=0; i < ARRAY_SIZE; i++) +// results_data[i] = 0; +// barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/bs_matmul/matmul_mi.c~ b/mt/bs_matmul/matmul_mi.c~ new file mode 100644 index 0000000..e69de29 --- /dev/null +++ b/mt/bs_matmul/matmul_mi.c~ diff --git a/mt/bs_vvadd/bs_vvadd.c b/mt/bs_vvadd/bs_vvadd.c new file mode 100755 index 0000000..01d708b --- /dev/null +++ b/mt/bs_vvadd/bs_vvadd.c @@ -0,0 +1,179 @@ +//************************************************************************** +// Vector-vector add benchmark +//-------------------------------------------------------------------------- +// Author : Andrew Waterman +// TA : Christopher Celio +// Student : +// +// This benchmark adds two vectors and writes the results to a +// third vector. The input data (and reference data) should be +// generated using the vvadd_gendata.pl perl script and dumped +// to a file named dataset.h + +// to print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DATA_SIZE, 10*_c/DATA_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %4ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %4ld, correct[%d]= %4ld\n", + i, (long) test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// vvadd function + +//perform in-place vvadd +void __attribute__((noinline)) vvadd(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + size_t i; + + // interleave accesses + for (i = coreid; i < n; i+=ncores) + { + x[i] = x[i] + y[i]; + } +} + +void __attribute__((noinline)) vvadd_opt(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + size_t i; + for (i = coreid*8; i<n/16*16; i+=16){ + x[i]=x[i]+y[i]; + x[i+1]=x[i+1]+y[i+1]; + x[i+2]=x[i+2]+y[i+2]; + x[i+3]=x[i+3]+y[i+3]; + x[i+4]=x[i+4]+y[i+4]; + x[i+5]=x[i+5]+y[i+5]; + x[i+6]=x[i+6]+y[i+6]; + x[i+7]=x[i+7]+y[i+7]; + } + for (i = coreid+n/16*16; i < n; i+=ncores) + { + x[i] = x[i] + y[i]; } +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[DATA_SIZE]; + + // because we're going to perform an in-place vvadd (and we're going to run + // it a couple of times) let's copy the input data to a temporary results + // array + + size_t i; + if (coreid == 0) + { + for (i = 0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + + + // Execute the provided, terrible vvadd + barrier(); + stats(vvadd(DATA_SIZE, results_data, input2_data); barrier()); + + + // verify + verify(DATA_SIZE, results_data, verify_data); + + // reset results from the first trial + if (coreid == 0) + { + for (i=0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + barrier(); + + + // Execute your faster vvadd + barrier(); + stats(vvadd_opt(DATA_SIZE, results_data, input2_data); barrier()); + +#ifdef DEBUG + printArray("results: ", DATA_SIZE, results_data); + printArray("verify : ", DATA_SIZE, verify_data); +#endif + + // verify + verify(DATA_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/bs_vvadd/dataset.h b/mt/bs_vvadd/dataset.h new file mode 100755 index 0000000..ce9f936 --- /dev/null +++ b/mt/bs_vvadd/dataset.h @@ -0,0 +1,165 @@ + +#define DATA_SIZE 1000 + +static data_t input1_data[DATA_SIZE] = +{ + 0.00, 15.00, 10.00, 3.00, 14.00, 6.00, 2.00, 18.00, 11.00, 15.00, 11.00, 0.00, 17.00, 16.00, 7.00, 13.00, 18.00, 2.00, 2.00, 5.00, + 8.00, 5.00, 12.00, 14.00, 6.00, 12.00, 16.00, 7.00, 9.00, 17.00, 10.00, 10.00, 3.00, 5.00, 14.00, 11.00, 9.00, 12.00, 3.00, 1.00, + 5.00, 4.00, 6.00, 17.00, 17.00, 4.00, 17.00, 15.00, 17.00, 18.00, 3.00, 18.00, 10.00, 6.00, 12.00, 12.00, 3.00, 2.00, 16.00, 1.00, + 5.00, 6.00, 2.00, 17.00, 16.00, 5.00, 10.00, 18.00, 14.00, 4.00, 9.00, 9.00, 7.00, 4.00, 8.00, 13.00, 12.00, 6.00, 4.00, 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12.00, 11.00, 17.00, 4.00, 13.00, 7.00, 16.00, 12.00, 7.00, 18.00 +}; + +static data_t input2_data[DATA_SIZE] = +{ + 8.00, 6.00, 0.00, 18.00, 6.00, 10.00, 1.00, 2.00, 4.00, 2.00, 4.00, 10.00, 6.00, 11.00, 17.00, 4.00, 0.00, 16.00, 14.00, 12.00, + 9.00, 8.00, 13.00, 15.00, 18.00, 2.00, 13.00, 10.00, 5.00, 4.00, 12.00, 9.00, 1.00, 13.00, 12.00, 7.00, 10.00, 17.00, 11.00, 10.00, + 18.00, 15.00, 11.00, 12.00, 7.00, 9.00, 6.00, 5.00, 11.00, 7.00, 10.00, 12.00, 18.00, 18.00, 15.00, 1.00, 3.00, 18.00, 11.00, 16.00, + 13.00, 18.00, 4.00, 13.00, 8.00, 7.00, 10.00, 13.00, 0.00, 9.00, 1.00, 16.00, 13.00, 7.00, 5.00, 5.00, 11.00, 1.00, 6.00, 10.00, + 12.00, 3.00, 10.00, 5.00, 15.00, 15.00, 13.00, 14.00, 14.00, 1.00, 18.00, 5.00, 16.00, 14.00, 10.00, 4.00, 8.00, 4.00, 6.00, 6.00, + 13.00, 14.00, 8.00, 5.00, 14.00, 10.00, 9.00, 10.00, 17.00, 15.00, 6.00, 16.00, 12.00, 9.00, 10.00, 16.00, 16.00, 8.00, 1.00, 12.00, + 7.00, 0.00, 0.00, 3.00, 5.00, 7.00, 10.00, 3.00, 17.00, 10.00, 18.00, 16.00, 1.00, 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30.00, 12.00, 21.00, 21.00, 27.00, 14.00, + 21.00, 31.00, 3.00, 21.00, 14.00, 20.00, 30.00, 20.00, 21.00, 32.00, 27.00, 24.00, 16.00, 31.00, 5.00, 20.00, 14.00, 17.00, 15.00, 16.00, + 19.00, 13.00, 4.00, 21.00, 20.00, 29.00, 10.00, 22.00, 19.00, 24.00, 29.00, 14.00, 10.00, 15.00, 18.00, 7.00, 28.00, 17.00, 7.00, 2.00, + 1.00, 19.00, 17.00, 23.00, 31.00, 13.00, 20.00, 36.00, 17.00, 27.00, 28.00, 18.00, 20.00, 29.00, 17.00, 23.00, 24.00, 23.00, 26.00, 17.00, + 9.00, 26.00, 16.00, 18.00, 10.00, 28.00, 32.00, 20.00, 19.00, 14.00, 22.00, 23.00, 13.00, 22.00, 14.00, 7.00, 20.00, 10.00, 25.00, 9.00, + 7.00, 2.00, 31.00, 16.00, 16.00, 22.00, 5.00, 15.00, 26.00, 23.00, 10.00, 18.00, 32.00, 24.00, 15.00, 30.00, 16.00, 13.00, 15.00, 7.00, + 11.00, 6.00, 21.00, 14.00, 25.00, 21.00, 11.00, 16.00, 14.00, 26.00, 25.00, 15.00, 22.00, 24.00, 4.00, 19.00, 14.00, 26.00, 22.00, 17.00, + 13.00, 14.00, 7.00, 32.00, 20.00, 33.00, 13.00, 7.00, 29.00, 8.00, 26.00, 6.00, 9.00, 13.00, 22.00, 23.00, 8.00, 22.00, 22.00, 10.00, + 24.00, 2.00, 17.00, 9.00, 22.00, 30.00, 24.00, 33.00, 25.00, 17.00, 23.00, 9.00, 13.00, 15.00, 23.00, 10.00, 1.00, 22.00, 17.00, 10.00, + 32.00, 24.00, 26.00, 4.00, 15.00, 0.00, 27.00, 23.00, 28.00, 23.00, 30.00, 7.00, 16.00, 33.00, 20.00, 14.00, 23.00, 14.00, 20.00, 14.00, + 7.00, 25.00, 24.00, 12.00, 29.00, 16.00, 17.00, 20.00, 29.00, 16.00, 13.00, 18.00, 26.00, 18.00, 18.00, 17.00, 13.00, 29.00, 14.00, 17.00, + 24.00, 16.00, 21.00, 14.00, 26.00, 9.00, 11.00, 28.00, 25.00, 15.00, 15.00, 12.00, 6.00, 14.00, 27.00, 14.00, 24.00, 18.00, 18.00, 14.00, + 32.00, 21.00, 26.00, 13.00, 6.00, 24.00, 22.00, 27.00, 17.00, 26.00, 19.00, 21.00, 19.00, 9.00, 21.00, 25.00, 17.00, 27.00, 15.00, 18.00 +}; + diff --git a/mt/bs_vvadd/vvadd_gendata.pl b/mt/bs_vvadd/vvadd_gendata.pl new file mode 100755 index 0000000..a9fceac --- /dev/null +++ b/mt/bs_vvadd/vvadd_gendata.pl @@ -0,0 +1,139 @@ +#!/usr/bin/perl -w +#========================================================================== +# vvadd_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the vvadd benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: vvadd_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[DATA_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3.2f",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + my @values1; + my @values2; + my @sum; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + my $value1 = int(rand(19)); + my $value2 = int(rand(19)); + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @sum, $value1 + $value2 ); + } + + + print "\n\#define DATA_SIZE ".$opts{"size"}." \n\n"; + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@sum ); + +} + +main(); + diff --git a/mt/bt_matmul/bt_matmul.c b/mt/bt_matmul/bt_matmul.c new file mode 100755 index 0000000..0215491 --- /dev/null +++ b/mt/bt_matmul/bt_matmul.c @@ -0,0 +1,296 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + + int i, j, k , jj , kk; + int start_i = coreid*lda/2; + int end_i = start_i + lda/2; + int step_j, step_k; + int start_k, end_k, start_j, end_j; + int j_lda; + int pos_A , pos_B, pos_C; + data_t temp00, temp01,temp02,temp03,temp04,temp05,temp06,temp07; + data_t temp10, temp11,temp12,temp13,temp14,temp15,temp16,temp17; + data_t temp_A0, temp_A1, temp_A2, temp_A3, temp_A4, temp_A5, temp_A6, temp_A7; + + if (coreid == 0) + { + step_k = 1; + start_k= 0; + end_k = lda; + + step_j = 2; + start_j= 0; + end_j = lda; + + }else + { + + step_k = -1; + start_k = lda-1; + end_k = -1; + + step_j = -2; + start_j= lda-2; + end_j = -2; + } + + for( kk = start_k ; kk!= end_k ; kk+=(step_k*16) ) + { + for( jj = start_j ; jj!= end_j ; jj+=(step_j*8) ) + { + for ( i = start_i; i < end_i; i+=8 ) + { + //pos_C = i + jj*lda; + for ( j = jj; j != (jj+(step_j*8)) ; j+=step_j ) + { + + pos_C = i + j*lda; + temp00 = C[(pos_C + 0)]; + temp01 = C[(pos_C + 1)]; + temp02 = C[(pos_C + 2)]; + temp03 = C[(pos_C + 3)]; + temp04 = C[(pos_C + 4)]; + temp05 = C[(pos_C + 5)]; + temp06 = C[(pos_C + 6)]; + temp07 = C[(pos_C + 7)]; + + //pos_C += lda; + pos_C = i + (j+1)*lda; + + temp10 = C[(pos_C + 0)]; + temp11 = C[(pos_C + 1)]; + temp12 = C[(pos_C + 2)]; + temp13 = C[(pos_C + 3)]; + temp14 = C[(pos_C + 4)]; + temp15 = C[(pos_C + 5)]; + temp16 = C[(pos_C + 6)]; + temp17 = C[(pos_C + 7)]; + + pos_B = kk*lda + i; + pos_A = j*lda + kk; + for ( k = kk; k != (kk+(step_k*16)) ; k+=step_k ) + { + temp_A0 = A[ pos_A ] ; + temp_A1 = A[pos_A +lda]; + + temp00 += temp_A0 * B[(pos_B + 0)]; + temp01 += temp_A0 * B[(pos_B + 1)]; + temp02 += temp_A0 * B[(pos_B + 2)]; + temp03 += temp_A0 * B[(pos_B + 3)]; + temp04 += temp_A0 * B[(pos_B + 4)]; + temp05 += temp_A0 * B[(pos_B + 5)]; + temp06 += temp_A0 * B[(pos_B + 6)]; + temp07 += temp_A0 * B[(pos_B + 7)]; + + temp10 += temp_A1 * B[(pos_B + 0)]; + temp11 += temp_A1 * B[(pos_B + 1)]; + temp12 += temp_A1 * B[(pos_B + 2)]; + temp13 += temp_A1 * B[(pos_B + 3)]; + temp14 += temp_A1 * B[(pos_B + 4)]; + temp15 += temp_A1 * B[(pos_B + 5)]; + temp16 += temp_A1 * B[(pos_B + 6)]; + temp17 += temp_A1 * B[(pos_B + 7)]; + + pos_B += (lda*step_k) ; + pos_A += step_k; + } + //barrier(); + + C[(pos_C + 0)] = temp10; + C[(pos_C + 1)] = temp11; + C[(pos_C + 2)] = temp12; + C[(pos_C + 3)] = temp13; + C[(pos_C + 4)] = temp14; + C[(pos_C + 5)] = temp15; + C[(pos_C + 6)] = temp16; + C[(pos_C + 7)] = temp17; + //barrier(); + + pos_C = i + j*lda; + //pos_C -= lda; + C[(pos_C + 0)] = temp00; + C[(pos_C + 1)] = temp01; + C[(pos_C + 2)] = temp02; + C[(pos_C + 3)] = temp03; + C[(pos_C + 4)] = temp04; + C[(pos_C + 5)] = temp05; + C[(pos_C + 6)] = temp06; + C[(pos_C + 7)] = temp07; + //barrier(); + //pos_C += step_j * lda; + } + //barrier(); + } + //barrier(); + + } + //barrier(); + } +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + /* + // Execute the provided, naive matmul + barrier(); + stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + + // clear results from the first trial + size_t i; + if (coreid == 0) + for (i=0; i < ARRAY_SIZE; i++) + results_data[i] = 0; + barrier(); + + */ + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + + + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + + //printf("input1_data"); +exit(0); + +} diff --git a/mt/bt_matmul/dataset.h b/mt/bt_matmul/dataset.h new file mode 100755 index 0000000..dde3ee4 --- /dev/null +++ b/mt/bt_matmul/dataset.h @@ -0,0 +1,174 @@ + +#define ARRAY_SIZE 1024 + + +#define DIM_SIZE 32 + +static data_t input1_data[ARRAY_SIZE] = +{ + 0, 3, 2, 0, 3, 1, 0, 3, 2, 3, 2, 0, 3, 3, 1, 2, 3, 0, 0, 1, + 1, 1, 2, 3, 1, 2, 3, 1, 1, 3, 2, 2, 0, 1, 3, 2, 2, 2, 0, 0, + 1, 0, 1, 3, 3, 0, 3, 3, 3, 3, 0, 3, 2, 1, 2, 2, 0, 0, 3, 0, + 1, 1, 0, 3, 3, 1, 2, 3, 3, 0, 1, 2, 1, 0, 1, 2, 2, 1, 0, 3, + 1, 0, 2, 2, 1, 1, 1, 1, 1, 1, 2, 0, 3, 1, 1, 2, 2, 3, 3, 1, + 3, 2, 0, 0, 0, 3, 3, 3, 2, 1, 2, 3, 1, 0, 0, 0, 0, 1, 2, 2, + 1, 1, 3, 3, 3, 1, 1, 2, 3, 1, 3, 3, 2, 3, 2, 1, 2, 3, 0, 2, + 2, 1, 1, 0, 0, 0, 0, 0, 1, 3, 3, 1, 1, 1, 2, 2, 3, 2, 1, 1, + 1, 1, 3, 0, 2, 2, 1, 3, 2, 1, 2, 2, 1, 3, 1, 3, 1, 3, 2, 3, + 1, 2, 1, 3, 2, 2, 0, 1, 0, 0, 1, 2, 3, 3, 1, 0, 0, 0, 3, 1, + 2, 3, 2, 3, 2, 0, 0, 0, 0, 0, 3, 1, 3, 0, 0, 0, 3, 1, 1, 1, + 1, 2, 1, 2, 3, 2, 0, 0, 2, 2, 3, 0, 3, 0, 0, 3, 0, 3, 1, 3, + 3, 1, 1, 1, 2, 2, 1, 3, 0, 3, 3, 1, 0, 0, 3, 2, 1, 3, 3, 3, + 1, 0, 1, 1, 2, 1, 0, 1, 1, 2, 2, 3, 1, 2, 2, 2, 0, 1, 3, 3, + 3, 2, 2, 1, 0, 1, 2, 0, 1, 1, 1, 1, 2, 3, 2, 2, 3, 3, 0, 0, + 2, 0, 0, 0, 3, 0, 1, 0, 3, 0, 0, 0, 3, 0, 0, 2, 0, 2, 0, 0, + 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 0, 2, 0, 0, 3, 3, 2, 3, 3, 0, + 1, 0, 2, 2, 0, 3, 3, 1, 1, 0, 2, 3, 2, 1, 1, 0, 1, 2, 1, 2, + 2, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 3, 3, 2, 0, 0, 1, 3, 0, 3, + 3, 0, 0, 0, 0, 3, 3, 1, 0, 0, 3, 3, 2, 1, 2, 1, 3, 3, 0, 1, + 3, 0, 2, 3, 1, 3, 3, 3, 3, 3, 0, 1, 1, 3, 0, 2, 2, 3, 1, 2, + 2, 2, 1, 3, 3, 0, 3, 0, 0, 2, 0, 2, 3, 0, 1, 3, 2, 2, 0, 0, + 2, 3, 0, 2, 2, 2, 3, 1, 0, 3, 3, 3, 3, 1, 0, 3, 3, 2, 0, 3, + 2, 0, 3, 0, 2, 0, 0, 2, 2, 1, 0, 2, 3, 1, 1, 1, 1, 2, 3, 3, + 3, 0, 0, 3, 3, 3, 2, 3, 3, 1, 2, 2, 3, 1, 2, 1, 1, 3, 0, 1, + 2, 0, 2, 0, 0, 1, 3, 2, 0, 1, 3, 2, 3, 3, 0, 0, 0, 1, 0, 3, + 3, 2, 2, 2, 1, 1, 2, 2, 1, 3, 2, 0, 1, 3, 2, 0, 2, 1, 3, 0, + 0, 0, 1, 3, 3, 2, 2, 2, 3, 1, 0, 0, 1, 1, 2, 1, 3, 1, 1, 2, + 2, 3, 2, 3, 0, 2, 3, 3, 0, 3, 0, 0, 1, 0, 0, 0, 1, 3, 1, 1, + 2, 3, 2, 1, 1, 2, 2, 2, 3, 0, 1, 1, 2, 1, 2, 0, 2, 3, 1, 3, + 0, 1, 1, 3, 0, 2, 3, 0, 1, 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 2, + 3, 0, 1, 1, 1, 1, 2, 0, 1, 2, 0, 1, 1, 1, 0, 1, 3, 2, 3, 1, + 0, 2, 1, 2, 1, 3, 3, 1, 0, 2, 2, 3, 1, 3, 1, 3, 0, 1, 0, 3, + 0, 3, 2, 0, 3, 3, 3, 0, 3, 2, 2, 2, 1, 3, 0, 0, 1, 1, 3, 0, + 1, 2, 1, 0, 0, 0, 3, 2, 2, 0, 0, 2, 1, 3, 0, 0, 3, 0, 0, 2, + 1, 1, 2, 2, 1, 3, 2, 2, 1, 1, 2, 1, 3, 2, 1, 1, 3, 0, 1, 3, + 3, 2, 2, 1, 0, 3, 2, 2, 2, 3, 0, 1, 3, 3, 2, 3, 0, 3, 2, 3, + 1, 1, 0, 0, 0, 2, 3, 0, 3, 0, 1, 1, 3, 1, 3, 2, 1, 1, 2, 1, + 3, 2, 0, 2, 1, 0, 2, 3, 2, 3, 2, 1, 2, 3, 0, 0, 1, 1, 0, 0, + 2, 1, 0, 1, 2, 2, 2, 2, 0, 3, 3, 1, 0, 0, 0, 0, 3, 1, 1, 0, + 0, 0, 0, 1, 2, 2, 1, 3, 0, 2, 3, 2, 3, 2, 2, 1, 2, 2, 3, 3, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 2, 2, 3, 1, 1, 1, 0, 0, 0, 3, 0, + 1, 0, 3, 1, 1, 3, 0, 1, 2, 2, 0, 0, 3, 3, 3, 3, 2, 1, 0, 0, + 1, 0, 2, 0, 1, 1, 0, 0, 3, 3, 2, 1, 1, 1, 0, 1, 1, 2, 2, 1, + 1, 2, 0, 3, 1, 3, 1, 0, 3, 0, 3, 1, 1, 1, 0, 2, 0, 3, 1, 0, + 1, 0, 2, 0, 2, 3, 3, 3, 1, 2, 3, 2, 2, 0, 1, 1, 0, 3, 3, 1, + 3, 3, 2, 0, 2, 0, 2, 2, 3, 3, 3, 0, 2, 3, 3, 1, 3, 2, 2, 2, + 0, 2, 3, 0, 2, 0, 3, 2, 2, 1, 1, 0, 2, 2, 2, 0, 2, 2, 0, 1, + 3, 2, 1, 3, 2, 2, 0, 3, 3, 1, 2, 2, 0, 0, 3, 2, 1, 2, 2, 1, + 3, 1, 2, 0, 0, 1, 1, 2, 1, 3, 2, 2, 3, 0, 2, 1, 3, 2, 1, 3, + 2, 3, 3, 1, 2, 1, 2, 2, 0, 0, 0, 3, 0, 2, 3, 1, 0, 0, 2, 3, + 3, 2, 2, 1 +}; + +static data_t input2_data[ARRAY_SIZE] = +{ + 1, 1, 0, 3, 1, 2, 0, 0, 0, 0, 0, 2, 1, 2, 3, 0, 0, 3, 3, 2, + 2, 1, 2, 3, 3, 0, 2, 2, 1, 1, 2, 2, 0, 2, 2, 1, 2, 3, 2, 2, + 3, 3, 2, 2, 1, 1, 1, 1, 2, 1, 2, 2, 3, 3, 3, 0, 0, 3, 2, 3, + 2, 3, 1, 2, 1, 1, 2, 2, 0, 1, 0, 3, 2, 1, 1, 1, 2, 0, 1, 2, + 2, 0, 2, 1, 3, 3, 2, 3, 2, 0, 3, 1, 3, 3, 2, 0, 1, 0, 1, 1, + 2, 2, 1, 1, 2, 2, 1, 2, 3, 3, 1, 3, 2, 2, 2, 3, 3, 1, 0, 2, + 1, 0, 0, 0, 1, 1, 2, 0, 3, 2, 3, 3, 0, 2, 3, 1, 0, 0, 2, 1, + 2, 0, 2, 1, 1, 2, 3, 1, 3, 2, 1, 0, 0, 0, 0, 0, 2, 2, 0, 2, + 1, 2, 0, 3, 2, 2, 0, 0, 3, 2, 1, 1, 3, 0, 2, 0, 0, 1, 0, 2, + 3, 3, 1, 3, 3, 0, 0, 2, 2, 0, 0, 0, 1, 0, 0, 1, 3, 0, 2, 1, + 3, 2, 2, 1, 3, 2, 0, 1, 2, 2, 3, 2, 1, 1, 1, 1, 3, 0, 1, 3, + 2, 2, 3, 1, 1, 2, 0, 2, 1, 1, 2, 3, 1, 0, 1, 0, 1, 1, 0, 0, + 2, 0, 3, 0, 3, 0, 3, 2, 2, 3, 3, 2, 1, 0, 2, 2, 1, 1, 0, 3, + 3, 2, 2, 0, 0, 3, 0, 1, 0, 0, 1, 2, 0, 1, 3, 0, 1, 2, 2, 0, + 0, 3, 0, 3, 0, 1, 1, 2, 0, 0, 0, 3, 0, 0, 2, 1, 1, 1, 0, 2, + 1, 3, 1, 2, 0, 3, 0, 3, 1, 3, 0, 0, 2, 2, 2, 2, 3, 3, 2, 1, + 2, 2, 1, 1, 2, 2, 2, 2, 0, 3, 0, 0, 2, 0, 1, 2, 0, 3, 2, 3, + 2, 0, 2, 1, 2, 1, 0, 2, 1, 1, 3, 2, 2, 3, 1, 0, 3, 3, 1, 0, + 3, 2, 2, 0, 0, 3, 0, 0, 2, 0, 3, 2, 3, 1, 1, 0, 0, 2, 3, 0, + 0, 1, 1, 1, 2, 1, 3, 2, 1, 3, 0, 1, 3, 3, 1, 1, 1, 1, 1, 1, + 0, 0, 2, 3, 2, 2, 2, 3, 2, 3, 1, 2, 3, 2, 2, 2, 0, 1, 3, 0, + 1, 1, 0, 1, 0, 1, 1, 3, 3, 1, 2, 2, 3, 2, 0, 2, 2, 0, 1, 3, + 0, 1, 3, 2, 1, 3, 3, 2, 0, 1, 3, 2, 0, 2, 1, 1, 0, 3, 0, 1, + 1, 1, 1, 1, 3, 0, 0, 1, 0, 2, 3, 1, 3, 0, 2, 1, 3, 0, 3, 0, + 3, 2, 2, 0, 0, 2, 1, 3, 3, 2, 3, 2, 2, 1, 2, 2, 3, 0, 3, 2, + 2, 0, 3, 2, 3, 2, 0, 0, 1, 2, 0, 0, 2, 0, 0, 3, 3, 2, 0, 0, + 3, 3, 0, 2, 3, 1, 0, 1, 0, 2, 1, 0, 2, 1, 0, 1, 0, 3, 0, 2, + 2, 3, 0, 0, 2, 1, 0, 1, 0, 0, 0, 2, 2, 3, 2, 0, 3, 3, 2, 1, + 0, 0, 3, 1, 2, 3, 3, 1, 0, 3, 1, 1, 0, 3, 3, 3, 2, 2, 2, 0, + 1, 2, 0, 3, 0, 1, 0, 1, 1, 0, 1, 2, 0, 3, 2, 0, 1, 2, 2, 0, + 2, 0, 0, 1, 0, 3, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 1, 1, 1, 0, + 2, 1, 1, 3, 2, 0, 2, 1, 1, 0, 2, 2, 1, 3, 0, 2, 1, 0, 1, 2, + 0, 1, 3, 2, 3, 2, 1, 0, 2, 0, 2, 2, 3, 1, 1, 3, 2, 3, 2, 2, + 0, 2, 0, 0, 0, 3, 2, 0, 2, 2, 3, 3, 3, 2, 1, 2, 0, 0, 3, 0, + 2, 0, 3, 2, 2, 3, 0, 3, 2, 1, 2, 2, 1, 2, 0, 0, 3, 1, 2, 0, + 2, 3, 2, 2, 1, 1, 1, 3, 3, 3, 3, 3, 1, 3, 0, 1, 3, 2, 2, 1, + 0, 1, 1, 2, 1, 2, 3, 1, 2, 2, 1, 2, 1, 1, 0, 3, 3, 1, 1, 3, + 2, 0, 0, 1, 2, 0, 1, 3, 1, 0, 0, 2, 2, 3, 3, 0, 2, 3, 2, 1, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 3, 3, 3, 1, 3, 0, 3, 1, 1, 2, 2, + 2, 1, 0, 3, 2, 3, 0, 2, 3, 2, 3, 1, 2, 3, 3, 1, 2, 1, 0, 0, + 0, 3, 3, 3, 3, 0, 3, 3, 3, 3, 2, 1, 0, 3, 0, 3, 2, 3, 1, 0, + 0, 1, 3, 1, 0, 2, 2, 3, 1, 0, 2, 1, 1, 3, 1, 1, 3, 1, 2, 1, + 0, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 3, 3, 1, 0, 3, 1, 1, 2, 0, + 0, 0, 2, 3, 3, 2, 2, 3, 0, 2, 3, 1, 3, 3, 0, 2, 1, 2, 2, 2, + 1, 0, 1, 3, 2, 3, 1, 1, 2, 1, 1, 0, 0, 2, 3, 2, 1, 0, 3, 1, + 3, 0, 1, 1, 2, 2, 1, 3, 3, 1, 1, 0, 0, 3, 3, 0, 0, 0, 0, 0, + 3, 1, 3, 0, 0, 0, 3, 3, 2, 1, 3, 0, 1, 3, 1, 1, 1, 0, 1, 0, + 1, 2, 2, 2, 3, 3, 0, 2, 3, 2, 1, 3, 3, 1, 1, 3, 0, 3, 3, 2, + 1, 1, 2, 0, 3, 0, 1, 2, 1, 1, 0, 0, 1, 2, 2, 0, 3, 1, 1, 1, + 3, 3, 3, 1, 0, 3, 3, 2, 2, 2, 1, 2, 0, 1, 1, 3, 0, 3, 1, 0, + 2, 2, 0, 1, 2, 3, 2, 1, 2, 0, 3, 2, 1, 3, 0, 1, 2, 0, 3, 0, + 1, 1, 2, 1 +}; + +static data_t verify_data[ARRAY_SIZE] = +{ + 72, 75, 88, 101, 80, 88, 73, 75, 80, 81, 58, 75, 86, 65, 60, 80, 84, 83, 87, 83, + 108, 93, 85, 76, 72, 98, 79, 86, 80, 96, 91, 85, 72, 64, 70, 83, 68, 92, 51, 54, + 85, 85, 60, 58, 90, 64, 55, 69, 72, 48, 94, 77, 91, 83, 70, 69, 67, 77, 59, 50, + 67, 74, 77, 67, 67, 62, 72, 71, 68, 79, 54, 61, 67, 61, 55, 62, 78, 60, 53, 64, + 67, 69, 99, 68, 88, 60, 66, 63, 70, 62, 65, 50, 53, 66, 70, 72, 75, 78, 85, 95, + 71, 89, 70, 68, 86, 88, 58, 77, 84, 70, 65, 68, 73, 75, 91, 96, 105, 92, 76, 68, + 86, 69, 80, 59, 73, 83, 88, 75, 64, 63, 71, 99, 77, 77, 69, 55, 80, 73, 54, 73, + 87, 78, 60, 69, 65, 78, 86, 89, 95, 92, 63, 69, 89, 61, 80, 65, 70, 77, 89, 77, + 79, 79, 73, 92, 64, 81, 60, 78, 81, 80, 61, 63, 89, 65, 56, 83, 77, 65, 102, 70, + 98, 86, 96, 68, 72, 89, 73, 73, 70, 89, 84, 76, 48, 61, 63, 70, 70, 79, 50, 53, + 64, 63, 43, 51, 59, 62, 43, 63, 55, 77, 79, 74, 75, 74, 64, 44, 65, 69, 72, 66, + 54, 71, 74, 72, 69, 76, 68, 89, 94, 75, 65, 53, 85, 79, 65, 74, 82, 73, 58, 70, + 84, 77, 99, 72, 92, 84, 78, 62, 59, 83, 71, 74, 63, 85, 80, 78, 71, 72, 79, 83, + 73, 82, 60, 85, 76, 82, 60, 70, 82, 68, 54, 85, 84, 70, 86, 74, 100, 88, 98, 68, + 67, 87, 69, 73, 68, 88, 76, 71, 47, 43, 47, 80, 54, 65, 40, 37, 59, 53, 33, 48, + 62, 40, 36, 55, 36, 62, 53, 57, 70, 69, 45, 43, 53, 61, 42, 57, 56, 63, 51, 47, + 59, 75, 64, 89, 83, 75, 59, 75, 91, 92, 58, 64, 83, 74, 58, 60, 76, 66, 97, 69, + 90, 95, 92, 64, 78, 75, 77, 73, 65, 78, 82, 75, 47, 54, 59, 71, 59, 56, 53, 42, + 60, 55, 40, 51, 60, 46, 36, 59, 46, 57, 67, 43, 51, 53, 53, 38, 54, 56, 55, 48, + 41, 46, 63, 63, 80, 77, 89, 102, 89, 98, 74, 86, 98, 93, 63, 76, 98, 77, 48, 101, + 86, 88, 100, 82, 102, 90, 95, 75, 86, 103, 83, 98, 80, 104, 98, 86, 71, 74, 80, 90, + 86, 87, 73, 70, 81, 83, 55, 66, 90, 66, 58, 84, 77, 84, 93, 72, 99, 75, 85, 65, + 70, 89, 71, 82, 64, 79, 82, 80, 67, 73, 86, 101, 78, 97, 66, 64, 84, 80, 55, 64, + 79, 73, 51, 79, 89, 68, 94, 77, 109, 102, 82, 61, 66, 93, 88, 70, 82, 82, 85, 69, + 69, 72, 66, 97, 85, 90, 70, 59, 76, 89, 53, 56, 90, 79, 71, 64, 70, 67, 100, 92, + 106, 89, 83, 78, 73, 80, 70, 72, 65, 70, 92, 88, 57, 76, 55, 85, 66, 80, 61, 63, + 63, 78, 54, 58, 71, 73, 54, 63, 63, 62, 89, 76, 86, 81, 83, 54, 70, 81, 78, 64, + 56, 72, 74, 81, 75, 63, 68, 89, 65, 77, 58, 68, 75, 83, 52, 62, 82, 63, 55, 75, + 51, 70, 95, 66, 83, 77, 86, 61, 64, 77, 48, 70, 66, 82, 72, 75, 79, 71, 72, 89, + 78, 78, 66, 59, 91, 80, 55, 64, 79, 68, 54, 71, 67, 75, 87, 84, 100, 101, 76, 58, + 74, 82, 61, 74, 75, 97, 85, 79, 61, 55, 69, 68, 72, 65, 52, 64, 80, 73, 48, 54, + 71, 66, 42, 61, 66, 63, 92, 64, 85, 77, 73, 54, 74, 73, 76, 66, 62, 79, 85, 70, + 71, 84, 87, 81, 88, 86, 77, 77, 93, 88, 78, 71, 101, 89, 58, 84, 95, 81, 89, 97, + 104, 79, 83, 76, 90, 81, 91, 74, 70, 76, 91, 80, 51, 48, 56, 69, 47, 63, 54, 42, + 63, 63, 42, 52, 66, 56, 39, 59, 61, 52, 59, 63, 62, 68, 57, 35, 67, 58, 56, 52, + 61, 63, 60, 47, 85, 75, 89, 106, 88, 95, 74, 82, 107, 107, 64, 78, 98, 90, 62, 91, + 79, 87, 111, 84, 104, 106, 96, 68, 94, 99, 81, 89, 79, 105, 95, 86, 65, 63, 77, 89, + 66, 88, 56, 73, 82, 92, 41, 62, 85, 66, 50, 81, 57, 71, 77, 78, 86, 89, 77, 53, + 67, 78, 61, 63, 72, 82, 69, 66, 59, 46, 55, 70, 56, 64, 45, 50, 65, 64, 42, 56, + 78, 49, 51, 52, 38, 56, 72, 55, 73, 72, 61, 50, 63, 60, 47, 57, 55, 73, 53, 68, + 85, 88, 91, 96, 82, 89, 73, 76, 87, 86, 67, 69, 96, 84, 57, 89, 87, 89, 99, 88, + 104, 90, 85, 75, 88, 92, 85, 75, 74, 87, 103, 94, 55, 48, 56, 65, 72, 50, 45, 51, + 63, 62, 47, 57, 79, 53, 36, 63, 54, 68, 71, 59, 63, 61, 63, 41, 50, 73, 57, 59, + 56, 76, 73, 65, 61, 64, 61, 79, 53, 73, 57, 44, 61, 59, 59, 56, 81, 59, 49, 62, + 65, 55, 69, 72, 79, 70, 58, 57, 68, 61, 62, 50, 57, 60, 66, 66, 63, 77, 81, 89, + 85, 81, 76, 73, 78, 95, 59, 70, 81, 77, 46, 79, 78, 79, 83, 81, 84, 82, 85, 48, + 74, 85, 85, 74, 74, 80, 80, 74, 60, 76, 80, 97, 88, 93, 66, 66, 73, 84, 56, 70, + 90, 63, 58, 78, 73, 93, 90, 78, 94, 88, 82, 67, 85, 70, 81, 86, 74, 82, 88, 82, + 68, 73, 75, 91, 78, 97, 71, 66, 74, 85, 50, 59, 86, 77, 70, 74, 75, 74, 99, 82, + 99, 91, 86, 65, 80, 77, 72, 69, 60, 78, 90, 87, 79, 69, 74, 98, 70, 86, 81, 67, + 69, 78, 48, 65, 88, 70, 70, 70, 69, 72, 96, 90, 99, 82, 81, 76, 98, 73, 74, 71, + 69, 73, 94, 89 +}; + diff --git a/mt/bt_matmul/matmul.c~ b/mt/bt_matmul/matmul.c~ new file mode 100644 index 0000000..99ac845 --- /dev/null +++ b/mt/bt_matmul/matmul.c~ @@ -0,0 +1,260 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + int i, j, k; + int temp0, temp1,temp2,temp3,temp4,temp5,temp6,temp7; + int start = coreid*lda/2; + int end = start + lda/2; + int j_lda; + int temp_i; + int temp_A0, temp_A1, temp_A2, temp_A3 ; + + for ( i = start; i < end; i+=8){ + for ( j = 0; j < lda; j++) + { + j_lda = j*lda; + temp0 = C[(i+0) + j_lda]; + temp1 = C[(i+1) + j_lda]; + temp2 = C[(i+2) + j_lda]; + temp3 = C[(i+3) + j_lda]; + temp4 = C[(i+4) + j_lda]; + temp5 = C[(i+5) + j_lda]; + temp6 = C[(i+6) + j_lda]; + temp7 = C[(i+7) + j_lda]; + + + + for ( k = 0; k < lda; k+=4) + { + temp_i = i; + temp_A0 = A[j_lda + (k+0)] ; + temp_A1 = A[j_lda + (k+1)] ; + temp_A2 = A[j_lda + (k+2)] ; + temp_A3 = A[j_lda + (k+3)] ; + + + temp0 += temp_A0 * B[(k+0)*lda + temp_i]; + temp0 += temp_A1 * B[(k+1)*lda + temp_i]; + temp0 += temp_A2 * B[(k+2)*lda + temp_i]; + temp0 += temp_A3 * B[(k+3)*lda + temp_i]; + temp_i++; + + temp1 += temp_A0 * B[(k+0)*lda + temp_i]; + temp1 += temp_A1 * B[(k+1)*lda + temp_i]; + temp1 += temp_A2 * B[(k+2)*lda + temp_i]; + temp1 += temp_A3 * B[(k+3)*lda + temp_i]; + temp_i++; + + temp2 += temp_A0 * B[(k+0)*lda + temp_i]; + temp2 += temp_A1 * B[(k+1)*lda + temp_i]; + temp2 += temp_A2 * B[(k+2)*lda + temp_i]; + temp2 += temp_A3 * B[(k+3)*lda + temp_i]; + temp_i++; + + + temp3 += temp_A0 * B[(k+0)*lda + temp_i]; + temp3 += temp_A1 * B[(k+1)*lda + temp_i]; + temp3 += temp_A2 * B[(k+2)*lda + temp_i]; + temp3 += temp_A3 * B[(k+3)*lda + temp_i]; + temp_i++; + + temp4 += temp_A0 * B[(k+0)*lda + temp_i]; + temp4 += temp_A1 * B[(k+1)*lda + temp_i]; + temp4 += temp_A2 * B[(k+2)*lda + temp_i]; + temp4 += temp_A3 * B[(k+3)*lda + temp_i]; + temp_i++; + + temp5 += temp_A0 * B[(k+0)*lda + temp_i]; + temp5 += temp_A1 * B[(k+1)*lda + temp_i]; + temp5 += temp_A2 * B[(k+2)*lda + temp_i]; + temp5 += temp_A3 * B[(k+3)*lda + temp_i]; + temp_i++; + + temp6 += temp_A0 * B[(k+0)*lda + temp_i]; + temp6 += temp_A1 * B[(k+1)*lda + temp_i]; + temp6 += temp_A2 * B[(k+2)*lda + temp_i]; + temp6 += temp_A3 * B[(k+3)*lda + temp_i]; + temp_i++; + + + temp7 += temp_A0 * B[(k+0)*lda + temp_i]; + temp7 += temp_A1 * B[(k+1)*lda + temp_i]; + temp7 += temp_A2 * B[(k+2)*lda + temp_i]; + temp7 += temp_A3 * B[(k+3)*lda + temp_i]; + temp_i++; + + } + + C[i + j*lda] = temp0; + C[(i+1) + j*lda] = temp1; + C[(i+2) + j*lda] = temp2; + C[(i+3) + j*lda] = temp3; + C[(i+4) + j*lda] = temp4; + C[(i+5) + j*lda] = temp5; + C[(i+6) + j*lda] = temp6; + C[(i+7) + j*lda] = temp7; + + } + } +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + /* + // Execute the provided, naive matmul + barrier(); + stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + + // clear results from the first trial + size_t i; + if (coreid == 0) + for (i=0; i < ARRAY_SIZE; i++) + results_data[i] = 0; + barrier(); + + */ + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} diff --git a/mt/bt_matmul/matmul_gendata.pl b/mt/bt_matmul/matmul_gendata.pl new file mode 100755 index 0000000..f21bb46 --- /dev/null +++ b/mt/bt_matmul/matmul_gendata.pl @@ -0,0 +1,200 @@ +#!/usr/bin/perl -w +#========================================================================== +# matmul_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the matmul benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: matmul_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[ARRAY_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3d",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + + + +#-------------------------------------------------------------------------- +# Matmul +#-------------------------------------------------------------------------- + +# http://answers.oreilly.com/topic/418-how-to-multiply-matrices-in-perl/ + +sub mmult { + my ($m1,$m2) = @_; + my ($m1rows,$m1cols) = matdim($m1); + my ($m2rows,$m2cols) = matdim($m2); + + my $result = [ ]; + my ($i, $j, $k); + + for $i (range($m1rows)) { + for $j (range($m2cols)) { + for $k (range($m1cols)) { + $result->[$i][$j] += $m1->[$i][$k] * $m2->[$k][$j]; + } + } + } + return $result; +} + +sub range { 0 .. ($_[0] - 1) } + + +sub veclen { + my $ary_ref = $_[0]; + my $type = ref $ary_ref; + if ($type ne "ARRAY") { die "$type is bad array ref for $ary_ref" } + return scalar(@$ary_ref); +} + +sub matdim { + my $matrix = $_[0]; + my $rows = veclen($matrix); + my $cols = veclen($matrix->[0]); + return ($rows, $cols); +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + # create random input arrays + my $mat_values1; + my $mat_values2; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + $mat_values1->[$i][$j] = int(rand(4)); + $mat_values2->[$i][$j] = int(rand(4)); + } + } + + # perform matmul + my $mat_results = mmult( $mat_values1, $mat_values2 ); + + # translate 2d arrays to 1d-somethings (I don't know how to code in perl - Chris) + my @values1; + my @values2; + my @results; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + my $value1 = $mat_values1->[$i][$j]; + my $value2 = $mat_values2->[$i][$j]; + my $result = $mat_results->[$i][$j]; + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @results, $result ); + } + } + + print "\n\#define ARRAY_SIZE ".($opts{"size"}*$opts{"size"})." \n\n"; + print "\n\#define DIM_SIZE ".$opts{"size"}." \n\n"; + + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@results); + +} + +main(); + diff --git a/mt/bt_matmul/matmul_mi.c b/mt/bt_matmul/matmul_mi.c new file mode 100755 index 0000000..dc9ae1b --- /dev/null +++ b/mt/bt_matmul/matmul_mi.c @@ -0,0 +1,297 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + + int i, j, k , jj , kk; + int start_i = coreid*lda/2; + int end_i = start_i + lda/2; + int step_j, step_k; + int start_k, end_k, start_j, end_j; + int j_lda; + int pos_A , pos_B, pos_C; + data_t temp00, temp01,temp02,temp03,temp04,temp05,temp06,temp07; + data_t temp10, temp11,temp12,temp13,temp14,temp15,temp16,temp17; + data_t temp_A0, temp_A1, temp_A2, temp_A3, temp_A4, temp_A5, temp_A6, temp_A7; + + + if (coreid == 0) + { + step_k = 1; + start_k= 0; + end_k = lda; + + step_j = 2; + start_j= 0; + end_j = lda; + + }else + { + + step_k = -1; + start_k = lda-1; + end_k = -1; + + step_j = -2; + start_j= lda-2; + end_j = -2; + } + + for( kk = start_k ; kk!= end_k ; kk+=(step_k*16) ) + { + for( jj = start_j ; jj!= end_j ; jj+=(step_j*8) ) + { + for ( i = start_i; i < end_i; i+=8 ) + { + //pos_C = i + jj*lda; + for ( j = jj; j != (jj+(step_j*8)) ; j+=step_j ) + { + + pos_C = i + j*lda; + temp00 = C[(pos_C + 0)]; + temp01 = C[(pos_C + 1)]; + temp02 = C[(pos_C + 2)]; + temp03 = C[(pos_C + 3)]; + temp04 = C[(pos_C + 4)]; + temp05 = C[(pos_C + 5)]; + temp06 = C[(pos_C + 6)]; + temp07 = C[(pos_C + 7)]; + + //pos_C += lda; + pos_C = i + (j+1)*lda; + + temp10 = C[(pos_C + 0)]; + temp11 = C[(pos_C + 1)]; + temp12 = C[(pos_C + 2)]; + temp13 = C[(pos_C + 3)]; + temp14 = C[(pos_C + 4)]; + temp15 = C[(pos_C + 5)]; + temp16 = C[(pos_C + 6)]; + temp17 = C[(pos_C + 7)]; + + pos_B = kk*lda + i; + pos_A = j*lda + kk; + for ( k = kk; k != (kk+(step_k*16)) ; k+=step_k ) + { + temp_A0 = A[ pos_A ] ; + temp_A1 = A[pos_A +lda]; + + temp00 += temp_A0 * B[(pos_B + 0)]; + temp01 += temp_A0 * B[(pos_B + 1)]; + temp02 += temp_A0 * B[(pos_B + 2)]; + temp03 += temp_A0 * B[(pos_B + 3)]; + temp04 += temp_A0 * B[(pos_B + 4)]; + temp05 += temp_A0 * B[(pos_B + 5)]; + temp06 += temp_A0 * B[(pos_B + 6)]; + temp07 += temp_A0 * B[(pos_B + 7)]; + + temp10 += temp_A1 * B[(pos_B + 0)]; + temp11 += temp_A1 * B[(pos_B + 1)]; + temp12 += temp_A1 * B[(pos_B + 2)]; + temp13 += temp_A1 * B[(pos_B + 3)]; + temp14 += temp_A1 * B[(pos_B + 4)]; + temp15 += temp_A1 * B[(pos_B + 5)]; + temp16 += temp_A1 * B[(pos_B + 6)]; + temp17 += temp_A1 * B[(pos_B + 7)]; + + pos_B += (lda*step_k) ; + pos_A += step_k; + } + //barrier(); + + C[(pos_C + 0)] = temp10; + C[(pos_C + 1)] = temp11; + C[(pos_C + 2)] = temp12; + C[(pos_C + 3)] = temp13; + C[(pos_C + 4)] = temp14; + C[(pos_C + 5)] = temp15; + C[(pos_C + 6)] = temp16; + C[(pos_C + 7)] = temp17; + //barrier(); + + pos_C = i + j*lda; + //pos_C -= lda; + C[(pos_C + 0)] = temp00; + C[(pos_C + 1)] = temp01; + C[(pos_C + 2)] = temp02; + C[(pos_C + 3)] = temp03; + C[(pos_C + 4)] = temp04; + C[(pos_C + 5)] = temp05; + C[(pos_C + 6)] = temp06; + C[(pos_C + 7)] = temp07; + //barrier(); + //pos_C += step_j * lda; + } + //barrier(); + } + //barrier(); + + } + //barrier(); + } +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + /* + // Execute the provided, naive matmul + barrier(); + stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + + // clear results from the first trial + size_t i; + if (coreid == 0) + for (i=0; i < ARRAY_SIZE; i++) + results_data[i] = 0; + barrier(); + + */ + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + + + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + + //printf("input1_data"); +exit(0); + +} diff --git a/mt/bt_vvadd/bt_vvadd.c b/mt/bt_vvadd/bt_vvadd.c new file mode 100755 index 0000000..d2a01c4 --- /dev/null +++ b/mt/bt_vvadd/bt_vvadd.c @@ -0,0 +1,173 @@ +//************************************************************************** +// Vector-vector add benchmark +//-------------------------------------------------------------------------- +// Author : Andrew Waterman +// TA : Christopher Celio +// Student : +// +// This benchmark adds two vectors and writes the results to a +// third vector. The input data (and reference data) should be +// generated using the vvadd_gendata.pl perl script and dumped +// to a file named dataset.h + +// to print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DATA_SIZE, 10*_c/DATA_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %4ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %4ld, correct[%d]= %4ld\n", + i, (long) test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// vvadd function + +//perform in-place vvadd +void __attribute__((noinline)) vvadd(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + size_t i; + + // interleave accesses + for (i = coreid; i < n; i+=ncores) + { + x[i] = x[i] + y[i]; + } +} + +void __attribute__((noinline)) vvadd_opt(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + // ***************************** // + size_t i; + size_t chunk_size = n/ncores; + size_t start = chunk_size * coreid; + size_t end = start + chunk_size; + + for( i = start ; i < end; i++ ) + { + x[i]=x[i]+y[i]; + } + // ***************************** // +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[DATA_SIZE]; + + // because we're going to perform an in-place vvadd (and we're going to run + // it a couple of times) let's copy the input data to a temporary results + // array + + size_t i; + if (coreid == 0) + { + for (i = 0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + + + // Execute the provided, terrible vvadd + barrier(); + stats(vvadd(DATA_SIZE, results_data, input2_data); barrier()); + + + // verify + verify(DATA_SIZE, results_data, verify_data); + + // reset results from the first trial + if (coreid == 0) + { + for (i=0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + barrier(); + + + // Execute your faster vvadd + barrier(); + stats(vvadd_opt(DATA_SIZE, results_data, input2_data); barrier()); + +#ifdef DEBUG + printArray("results: ", DATA_SIZE, results_data); + printArray("verify : ", DATA_SIZE, verify_data); +#endif + + // verify + verify(DATA_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/bt_vvadd/dataset.h b/mt/bt_vvadd/dataset.h new file mode 100755 index 0000000..ce9f936 --- /dev/null +++ b/mt/bt_vvadd/dataset.h @@ -0,0 +1,165 @@ + +#define DATA_SIZE 1000 + +static data_t input1_data[DATA_SIZE] = +{ + 0.00, 15.00, 10.00, 3.00, 14.00, 6.00, 2.00, 18.00, 11.00, 15.00, 11.00, 0.00, 17.00, 16.00, 7.00, 13.00, 18.00, 2.00, 2.00, 5.00, + 8.00, 5.00, 12.00, 14.00, 6.00, 12.00, 16.00, 7.00, 9.00, 17.00, 10.00, 10.00, 3.00, 5.00, 14.00, 11.00, 9.00, 12.00, 3.00, 1.00, + 5.00, 4.00, 6.00, 17.00, 17.00, 4.00, 17.00, 15.00, 17.00, 18.00, 3.00, 18.00, 10.00, 6.00, 12.00, 12.00, 3.00, 2.00, 16.00, 1.00, + 5.00, 6.00, 2.00, 17.00, 16.00, 5.00, 10.00, 18.00, 14.00, 4.00, 9.00, 9.00, 7.00, 4.00, 8.00, 13.00, 12.00, 6.00, 4.00, 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vvadd_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the vvadd benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: vvadd_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[DATA_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3.2f",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + my @values1; + my @values2; + my @sum; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + my $value1 = int(rand(19)); + my $value2 = int(rand(19)); + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @sum, $value1 + $value2 ); + } + + + print "\n\#define DATA_SIZE ".$opts{"size"}." \n\n"; + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@sum ); + +} + +main(); + diff --git a/mt/common/crt-mt.S b/mt/common/crt-mt.S new file mode 100644 index 0000000..283b3bf --- /dev/null +++ b/mt/common/crt-mt.S @@ -0,0 +1,116 @@ + .data + .globl _heapend + .globl environ +_heapend: + .word 0 +environ: + .word 0 + + .text + .globl _start + +_start: + li x1, 0 + li x2, 0 + li x3, 0 + li x4, 0 + li x5, 0 + li x6, 0 + li x7, 0 + li x8, 0 + li x9, 0 + li x10,0 + li x11,0 + li x12,0 + li x13,0 + li x14,0 + li x15,0 + li x16,0 + li x17,0 + li x18,0 + li x19,0 + li x20,0 + li x21,0 + li x22,0 + li x23,0 + li x24,0 + li x25,0 + li x26,0 + li x27,0 + li x28,0 + li x29,0 + li x30,0 + li x31,0 + + # enable fp + mfpcr x1,cr0 + ori x1,x1,0x2 + mtpcr x1,cr0 + + # enable vec + mfpcr x1,cr0 + ori x1,x1,0x4 + mtpcr x1,cr0 + + ## if that didn't stick, we don't have an FPU, so don't initialize it + mfpcr x1,cr0 + andi x1,x1,0x2 + beqz x1,1f + + mtfsr x0 + mxtf.s f0, x0 + mxtf.s f1, x0 + mxtf.s f2, x0 + mxtf.s f3, x0 + mxtf.s f4, x0 + mxtf.s f5, x0 + mxtf.s f6, x0 + mxtf.s f7, x0 + mxtf.s f8, x0 + mxtf.s f9, x0 + mxtf.s f10,x0 + mxtf.s f11,x0 + mxtf.s f12,x0 + mxtf.s f13,x0 + mxtf.s f14,x0 + mxtf.s f15,x0 + mxtf.s f16,x0 + mxtf.s f17,x0 + mxtf.s f18,x0 + mxtf.s f19,x0 + mxtf.s f20,x0 + mxtf.s f21,x0 + mxtf.s f22,x0 + mxtf.s f23,x0 + mxtf.s f24,x0 + mxtf.s f25,x0 + mxtf.s f26,x0 + mxtf.s f27,x0 + mxtf.s f28,x0 + mxtf.s f29,x0 + mxtf.s f30,x0 + mxtf.s f31,x0 +1: + + # get core id and number of cores + mfpcr a0,cr10 + lw a1, 4(zero) + + slli a2, a0, 13 + la sp, stacktop + sub sp, sp, a2 + + la tp, tlstop + sub tp, tp, a2 + + jal thread_entry + + .bss + .globl stacktop + .globl tlstop + + .align 4 + .skip 32768 +stacktop: + .skip 65536 +tlstop: diff --git a/mt/common/crt.S b/mt/common/crt.S new file mode 100755 index 0000000..d153210 --- /dev/null +++ b/mt/common/crt.S @@ -0,0 +1,108 @@ + .data + .globl _heapend + .globl environ +_heapend: + .word 0 +environ: + .word 0 + + .text + .globl _start + +_start: + li x1, 0 + li x2, 0 + li x3, 0 + li x4, 0 + li x5, 0 + li x6, 0 + li x7, 0 + li x8, 0 + li x9, 0 + li x10,0 + li x11,0 + li x12,0 + li x13,0 + li x14,0 + li x15,0 + li x16,0 + li x17,0 + li x18,0 + li x19,0 + li x20,0 + li x21,0 + li x22,0 + li x23,0 + li x24,0 + li x25,0 + li x26,0 + li x27,0 + li x28,0 + li x29,0 + li x30,0 + li x31,0 + + # enable fp + mfpcr x1,cr0 + ori x1,x1,0x2 + mtpcr x1,cr0 + + # enable vec + mfpcr x1,cr0 + ori x1,x1,0x4 + mtpcr x1,cr0 + + ## if that didn't stick, we don't have an FPU, so don't initialize it + mfpcr x1,cr0 + andi x1,x1,0x2 + beqz x1,1f + + mtfsr x0 + mxtf.s f0, x0 + mxtf.s f1, x0 + mxtf.s f2, x0 + mxtf.s f3, x0 + mxtf.s f4, x0 + mxtf.s f5, x0 + mxtf.s f6, x0 + mxtf.s f7, x0 + mxtf.s f8, x0 + mxtf.s f9, x0 + mxtf.s f10,x0 + mxtf.s f11,x0 + mxtf.s f12,x0 + mxtf.s f13,x0 + mxtf.s f14,x0 + mxtf.s f15,x0 + mxtf.s f16,x0 + mxtf.s f17,x0 + mxtf.s f18,x0 + mxtf.s f19,x0 + mxtf.s f20,x0 + mxtf.s f21,x0 + mxtf.s f22,x0 + mxtf.s f23,x0 + mxtf.s f24,x0 + mxtf.s f25,x0 + mxtf.s f26,x0 + mxtf.s f27,x0 + mxtf.s f28,x0 + mxtf.s f29,x0 + mxtf.s f30,x0 + mxtf.s f31,x0 +1: + + # only allow core 0 to proceed +1:mfpcr a0, cr10 + bnez a0, 1b + + la sp,stacktop + jal main +1:b 1b + + .bss + .globl stacktop + + .align 4 + .skip 131072 +stacktop: diff --git a/mt/common/pcr.h b/mt/common/pcr.h new file mode 100755 index 0000000..7659a97 --- /dev/null +++ b/mt/common/pcr.h @@ -0,0 +1,90 @@ +#ifndef _RISCV_PCR_H +#define _RISCV_PCR_H + +#define SR_ET 0x00000001 +#define SR_EF 0x00000002 +#define SR_EV 0x00000004 +#define SR_EC 0x00000008 +#define SR_PS 0x00000010 +#define SR_S 0x00000020 +#define SR_U64 0x00000040 +#define SR_S64 0x00000080 +#define SR_VM 0x00000100 +#define SR_IM 0x00FF0000 +#define SR_ZERO ~(SR_ET|SR_EF|SR_EV|SR_EC|SR_PS|SR_S|SR_U64|SR_S64|SR_VM|SR_IM) +#define SR_IM_SHIFT 16 + +#define PCR_SR 0 +#define PCR_EPC 1 +#define PCR_BADVADDR 2 +#define PCR_EVEC 3 +#define PCR_COUNT 4 +#define PCR_COMPARE 5 +#define PCR_CAUSE 6 +#define PCR_PTBR 7 +#define PCR_SEND_IPI 8 +#define PCR_CLR_IPI 9 +#define PCR_COREID 10 +#define PCR_IMPL 11 +#define PCR_K0 12 +#define PCR_K1 13 +#define PCR_VECBANK 18 +#define PCR_VECCFG 19 +#define PCR_RESET 29 +#define PCR_TOHOST 30 +#define PCR_FROMHOST 31 + +#define IRQ_IPI 5 +#define IRQ_TIMER 7 + +#define CAUSE_MISALIGNED_FETCH 0 +#define CAUSE_FAULT_FETCH 1 +#define CAUSE_ILLEGAL_INSTRUCTION 2 +#define CAUSE_PRIVILEGED_INSTRUCTION 3 +#define CAUSE_FP_DISABLED 4 +#define CAUSE_SYSCALL 6 +#define CAUSE_BREAKPOINT 7 +#define CAUSE_MISALIGNED_LOAD 8 +#define CAUSE_MISALIGNED_STORE 9 +#define CAUSE_FAULT_LOAD 10 +#define CAUSE_FAULT_STORE 11 +#define CAUSE_VECTOR_DISABLED 12 +#define CAUSE_VECTOR_BANK 13 + +#define CAUSE_VECTOR_MISALIGNED_FETCH 24 +#define CAUSE_VECTOR_FAULT_FETCH 25 +#define CAUSE_VECTOR_ILLEGAL_INSTRUCTION 26 +#define CAUSE_VECTOR_ILLEGAL_COMMAND 27 +#define CAUSE_VECTOR_MISALIGNED_LOAD 28 +#define CAUSE_VECTOR_MISALIGNED_STORE 29 +#define CAUSE_VECTOR_FAULT_LOAD 30 +#define CAUSE_VECTOR_FAULT_STORE 31 + +#ifdef __riscv + +#define ASM_CR(r) _ASM_CR(r) +#define _ASM_CR(r) cr##r + +#ifndef __ASSEMBLER__ + +#define mtpcr(reg,val) ({ long __tmp = (long)(val), __tmp2; \ + asm volatile ("mtpcr %0,%1,cr%2" : "=r"(__tmp2) : "r"(__tmp),"i"(reg)); \ + __tmp2; }) + +#define mfpcr(reg) ({ long __tmp; \ + asm volatile ("mfpcr %0,cr%1" : "=r"(__tmp) : "i"(reg)); \ + __tmp; }) + +#define setpcr(reg,val) ({ long __tmp; \ + asm volatile ("setpcr %0,cr%2,%1" : "=r"(__tmp) : "i"(val), "i"(reg)); \ + __tmp; }) + +#define clearpcr(reg,val) ({ long __tmp; \ + asm volatile ("clearpcr %0,cr%2,%1" : "=r"(__tmp) : "i"(val), "i"(reg)); \ + __tmp; }) + +#endif + +#endif + +#endif diff --git a/mt/common/syscalls.S b/mt/common/syscalls.S new file mode 100755 index 0000000..a0cdf6e --- /dev/null +++ b/mt/common/syscalls.S @@ -0,0 +1,678 @@ + .file 1 "syscalls.c" + .section .mdebug.abi64 + .previous + .section .rodata.str1.8,"aMS",@progbits,1 + .align 3 +$LC0: + .ascii "0123456789abcdef\000" + .text + .align 2 + .ent printnum + .type printnum, @function +printnum: + .frame x30,64,x1 # vars= 0, regs= 7/0, args= 0 + .mask 0x03f00002,-8 + .fmask 0x00000000,0 + add x30,x30,-64 + sd x22,32(x30) + sll x22,x7,32 + srl x22,x22,32 + sd x24,48(x30) + sd x23,40(x30) + sd x21,24(x30) + sd x20,16(x30) + sd x25,56(x30) + sd x1,8(x30) + move x23,x6 + move x20,x4 + move x21,x5 + move x24,x9 + bleu x22,x6,$L2 + addw x8,x8,-1 + move x25,x8 + ble x8,x0,$L4 +$L6: + addw x25,x25,-1 + move x4,x24 + move x5,x21 + jalr x20 + bne x25,x0,$L6 +$L4: + lui x2,%hi($LC0) + add x2,x2,%lo($LC0) + remu x22,x23,x22 + add x22,x22,x2 + lb x4,0(x22) + move x5,x21 + move x19,x20 + ld x25,56(x30) + ld x24,48(x30) + ld x23,40(x30) + ld x22,32(x30) + ld x21,24(x30) + ld x20,16(x30) + ld x1,8(x30) + add x30,x30,64 + jr x19 +$L2: + addw x8,x8,-1 + divu x6,x6,x22 + jal printnum + j $L4 + .end printnum + .size printnum, .-printnum + .align 2 + .ent getuint + .type getuint, @function +getuint: + .frame x30,0,x1 # vars= 0, regs= 0/0, args= 0 + .mask 0x00000000,0 + .fmask 0x00000000,0 + slt x2,x5,2 + bne x2,x0,$L10 +$L13: + ld x2,0(x4) + add x3,x2,8 + sd x3,0(x4) + ld x2,0(x2) + ret +$L10: + bne x5,x0,$L13 + ld x3,0(x4) + lwu x2,0(x3) + add x3,x3,8 + sd x3,0(x4) + ret + .end getuint + .size getuint, .-getuint + .align 2 + .globl putchar + .ent putchar + .type putchar, @function +putchar: + .frame x30,64,x1 # vars= 64, regs= 0/0, args= 0 + .mask 0x00000000,0 + .fmask 0x00000000,0 + li x2,-1 # 0xffffffffffffffff + add x30,x30,-64 + lui x3,%hi(buflen.1596) + beq x4,x2,$L21 + lw x5,%lo(buflen.1596)(x3) + lui x2,%hi(buf.1595) + add x2,x2,%lo(buf.1595) + add x6,x2,x5 + sb x4,0(x6) + addw x5,x5,1 + li x4,64 # 0x40 + sw x5,%lo(buflen.1596)(x3) + beq x5,x4,$L15 + move x2,x0 + add x30,x30,64 + j x1 +$L21: + lui x2,%hi(buf.1595) + add x2,x2,%lo(buf.1595) +$L15: + lw x4,%lo(buflen.1596)(x3) + li x5,4 # 0x4 + sd x0,0(x30) + sd x0,8(x30) + sd x0,16(x30) + sd x0,24(x30) + sd x0,32(x30) + sd x0,40(x30) + sd x0,48(x30) + sd x0,56(x30) + sd x5,0(x30) + li x5,1 # 0x1 + sd x5,8(x30) + sd x2,16(x30) + sd x4,24(x30) + fence + #APP + # 45 "syscalls.c" 1 + mtpcr x2,x30,cr30 + # 0 "" 2 + #NO_APP +$L17: + #APP + # 46 "syscalls.c" 1 + mfpcr x2,cr31 + # 0 "" 2 + #NO_APP + beq x2,x0,$L17 + move x2,x0 + sw x0,%lo(buflen.1596)(x3) + add x30,x30,64 + j x1 + .end putchar + .size putchar, .-putchar + .align 2 + .globl exit + .ent exit + .type exit, @function +exit: + .frame x30,64,x1 # vars= 64, regs= 0/0, args= 0 + .mask 0x00000000,0 + .fmask 0x00000000,0 + add x30,x30,-64 + li x2,1 # 0x1 + sd x0,0(x30) + sd x0,8(x30) + sd x0,16(x30) + sd x0,24(x30) + sd x0,32(x30) + sd x0,40(x30) + sd x0,48(x30) + sd x0,56(x30) + sd x2,0(x30) + sd x4,8(x30) + fence + #APP + # 12 "syscalls.c" 1 + mtpcr x2,x30,cr30 + # 0 "" 2 + #NO_APP +$L23: + j $L23 + .end exit + .size exit, .-exit + .align 2 + .globl printstr + .ent printstr + .type printstr, @function +printstr: + .frame x30,80,x1 # vars= 64, regs= 1/0, args= 0 + .mask 0x00000002,-8 + .fmask 0x00000000,0 + add x30,x30,-80 + li x3,4 # 0x4 + sd x0,0(x30) + sd x0,8(x30) + sd x0,16(x30) + sd x0,24(x30) + sd x0,32(x30) + sd x0,40(x30) + sd x0,48(x30) + sd x0,56(x30) + sd x3,0(x30) + li x3,1 # 0x1 + sd x3,8(x30) + sd x1,72(x30) + sd x4,16(x30) + jal strlen + sd x2,24(x30) + fence + #APP + # 24 "syscalls.c" 1 + mtpcr x2,x30,cr30 + # 0 "" 2 + #NO_APP +$L25: + #APP + # 25 "syscalls.c" 1 + mfpcr x2,cr31 + # 0 "" 2 + #NO_APP + beq x2,x0,$L25 + ld x1,72(x30) + add x30,x30,80 + j x1 + .end printstr + .size printstr, .-printstr + .align 2 + .globl printhex + .ent printhex + .type printhex, @function +printhex: + .frame x30,48,x1 # vars= 32, regs= 1/0, args= 0 + .mask 0x00000002,-8 + .fmask 0x00000000,0 + add x30,x30,-48 + sd x1,40(x30) + add x2,x30,15 + add x7,x30,-1 +$L29: + and x3,x4,15 + sltu x6,x3,10 + li x5,87 # 0x57 + beq x6,x0,$L28 + li x5,48 # 0x30 +$L28: + add x3,x5,x3 + sb x3,0(x2) + add x2,x2,-1 + srl x4,x4,4 + bne x2,x7,$L29 + move x4,x30 + sb x0,16(x30) + jal printstr + ld x1,40(x30) + add x30,x30,48 + j x1 + .end printhex + .size printhex, .-printhex + .section .rodata.str1.8 + .align 3 +$LC1: + .ascii "(null)\000" + .text + .align 2 + .globl vprintfmt + .ent vprintfmt + .type vprintfmt, @function +vprintfmt: + .frame x30,112,x1 # vars= 32, regs= 10/0, args= 0 + .mask 0x2ff00002,-8 + .fmask 0x00000000,0 + add x30,x30,-112 + sd x25,80(x30) + lui x25,%hi($L53) + sd x26,88(x30) + sd x24,72(x30) + sd x23,64(x30) + sd x22,56(x30) + sd x21,48(x30) + sd x20,40(x30) + sd x29,104(x30) + sd x27,96(x30) + sd x1,32(x30) + move x21,x4 + move x20,x5 + move x23,x6 + sd x7,0(x30) + li x22,37 # 0x25 + add x25,x25,%lo($L53) + li x24,-1 # 0xffffffffffffffff + lui x26,%hi($LC1) + j $L84 +$L35: + beq x2,x0,$L32 + move x5,x20 + add x23,x23,1 + jalr x21 +$L84: + lbu x4,0(x23) + move x2,x4 + bne x4,x22,$L35 + ld x2,0(x30) + add x6,x23,1 + move x7,x6 + li x27,32 # 0x20 + sd x0,8(x30) + li x3,-1 # 0xffffffffffffffff + li x29,-1 # 0xffffffffffffffff + move x5,x0 +$L85: + lbu x4,0(x7) + add x23,x7,1 + addw x8,x4,-35 + and x9,x8,0xff + sltu x9,x9,86 + bne x9,x0,$L90 +$L38: + li x4,37 # 0x25 + move x5,x20 + sd x2,0(x30) + move x23,x6 + jalr x21 + j $L84 +$L32: + ld x1,32(x30) + ld x29,104(x30) + ld x27,96(x30) + ld x26,88(x30) + ld x25,80(x30) + ld x24,72(x30) + ld x23,64(x30) + ld x22,56(x30) + ld x21,48(x30) + ld x20,40(x30) + add x30,x30,112 + j x1 +$L90: + and x8,x8,0xff + sll x8,x8,3 + add x8,x25,x8 + ld x8,0(x8) + j x8 + .section .rodata + .align 3 + .align 2 +$L53: + .dword $L39 + .dword $L38 + .dword $L40 + .dword $L38 + .dword $L38 + .dword $L38 + .dword $L38 + .dword $L41 + .dword $L38 + .dword $L38 + .dword $L42 + .dword $L43 + .dword $L38 + .dword $L74 + .dword $L44 + .dword $L44 + .dword $L44 + .dword $L44 + .dword $L44 + .dword $L44 + .dword $L44 + .dword $L44 + .dword $L44 + .dword $L38 + .dword $L38 + .dword $L38 + .dword $L38 + .dword $L38 + .dword $L38 + .dword $L38 + .dword $L38 + .dword $L38 + .dword $L38 + .dword $L38 + .dword $L38 + .dword $L38 + .dword $L38 + .dword $L38 + .dword $L38 + .dword $L38 + .dword $L38 + .dword $L38 + .dword $L38 + .dword $L38 + .dword $L38 + .dword $L38 + .dword $L38 + .dword $L38 + .dword $L38 + .dword $L38 + .dword $L38 + .dword $L38 + .dword $L38 + .dword $L38 + .dword $L38 + .dword $L38 + .dword $L38 + .dword $L38 + .dword $L38 + .dword $L38 + .dword $L38 + .dword $L38 + .dword $L38 + .dword $L38 + .dword $L45 + .dword $L46 + .dword $L38 + .dword $L38 + .dword $L38 + .dword $L38 + .dword $L38 + .dword $L38 + .dword $L38 + .dword $L47 + .dword $L38 + .dword $L38 + .dword $L48 + .dword $L49 + .dword $L38 + .dword $L38 + .dword $L50 + .dword $L38 + .dword $L51 + .dword $L38 + .dword $L38 + .dword $L52 + .text +$L52: + move x4,x30 + sd x2,0(x30) + jal getuint + move x6,x2 + li x7,16 # 0x10 +$L73: + move x4,x21 + move x5,x20 + move x8,x29 + move x9,x27 + jal printnum + j $L84 +$L39: + li x4,1 # 0x1 + move x7,x23 + sd x4,8(x30) + j $L85 +$L40: + move x5,x20 + sd x2,0(x30) + jalr x21 + j $L84 +$L41: + lw x3,0(x2) + move x7,x23 + add x2,x2,8 +$L54: + bge x29,x0,$L85 + move x29,x3 + li x3,-1 # 0xffffffffffffffff + j $L85 +$L42: + move x7,x23 + li x27,45 # 0x2d + j $L85 +$L43: + blt x29,x0,$L91 + move x7,x23 + j $L85 +$L74: + move x7,x23 + li x27,48 # 0x30 + j $L85 +$L44: + lb x8,1(x7) + addw x3,x4,-48 + move x7,x23 + addw x4,x8,-48 + sltu x4,x4,10 + beq x4,x0,$L54 +$L55: + add x7,x7,1 + lb x4,0(x7) + sllw x9,x3,1 + sllw x3,x3,3 + addw x3,x9,x3 + addw x9,x4,-48 + addw x3,x3,x8 + sltu x9,x9,10 + addw x3,x3,-48 + move x8,x4 + bne x9,x0,$L55 + j $L54 +$L45: + lw x4,0(x2) + add x2,x2,8 + move x5,x20 + sd x2,0(x30) + jalr x21 + j $L84 +$L46: + slt x3,x5,2 + bne x3,x0,$L69 +$L88: + add x3,x2,8 + sd x3,0(x30) + ld x6,0(x2) + blt x6,x0,$L72 +$L89: + li x7,10 # 0xa + j $L73 +$L47: + addw x5,x5,1 + move x7,x23 + j $L85 +$L48: + move x4,x30 + sd x2,0(x30) + jal getuint + move x6,x2 + li x7,8 # 0x8 + j $L73 +$L49: + sd x2,0(x30) + li x4,48 # 0x30 + move x5,x20 + jalr x21 + li x4,120 # 0x78 + move x5,x20 + jalr x21 + ld x2,0(x30) + li x7,16 # 0x10 + add x3,x2,8 + sd x3,0(x30) + ld x6,0(x2) + j $L73 +$L50: + add x4,x2,8 + sd x4,0(x30) + ld x2,0(x2) + sd x2,16(x30) + beq x2,x0,$L92 +$L58: + ble x29,x0,$L59 + li x2,45 # 0x2d + beq x27,x2,$L59 + ld x4,16(x30) + move x5,x3 + sd x3,24(x30) + jal strnlen + sllw x2,x2,0 + subw x2,x29,x2 + move x29,x2 + ld x3,24(x30) + ble x2,x0,$L59 + move x29,x2 +$L60: + sd x3,24(x30) + move x4,x27 + move x5,x20 + addw x29,x29,-1 + jalr x21 + ld x3,24(x30) + bne x29,x0,$L60 +$L59: + ld x2,16(x30) + lb x4,0(x2) + add x27,x2,1 + beq x4,x0,$L62 +$L80: + blt x3,x0,$L67 + addw x2,x3,-1 + move x3,x2 + beq x2,x24,$L62 +$L67: + ld x2,8(x30) + beq x2,x0,$L63 + addw x2,x4,-32 + sltu x2,x2,95 + beq x2,x0,$L93 +$L63: + sd x3,24(x30) + move x5,x20 + jalr x21 + ld x3,24(x30) +$L64: + lb x4,0(x27) + addw x29,x29,-1 + add x27,x27,1 + bne x4,x0,$L80 +$L62: + ble x29,x0,$L84 +$L79: + addw x29,x29,-1 + li x4,32 # 0x20 + move x5,x20 + jalr x21 + bne x29,x0,$L79 + j $L84 +$L51: + move x4,x30 + sd x2,0(x30) + jal getuint + move x6,x2 + li x7,10 # 0xa + j $L73 +$L93: + sd x3,24(x30) + li x4,63 # 0x3f + move x5,x20 + jalr x21 + ld x3,24(x30) + j $L64 +$L91: + move x7,x23 + move x29,x0 + j $L85 +$L92: + add x2,x26,%lo($LC1) + sd x2,16(x30) + j $L58 +$L72: + sd x6,24(x30) + li x4,45 # 0x2d + move x5,x20 + jalr x21 + ld x6,24(x30) + li x7,10 # 0xa + sub x6,zero,x6 + j $L73 +$L69: + bne x5,x0,$L88 + lw x6,0(x2) + add x2,x2,8 + sd x2,0(x30) + bge x6,x0,$L89 + j $L72 + .end vprintfmt + .size vprintfmt, .-vprintfmt + .align 2 + .globl printf + .ent printf + .type printf, @function +printf: + .frame x30,96,x1 # vars= 16, regs= 1/0, args= 0 + .mask 0x00000002,-72 + .fmask 0x00000000,0 + add x30,x30,-96 + add x2,x30,40 + move x3,x4 + lui x4,%hi(putchar) + sd x5,40(x30) + sd x6,48(x30) + sd x7,56(x30) + add x4,x4,%lo(putchar) + move x5,x0 + move x6,x3 + move x7,x2 + sd x1,24(x30) + sd x8,64(x30) + sd x9,72(x30) + sd x10,80(x30) + sd x11,88(x30) + sd x2,0(x30) + jal vprintfmt + li x4,-1 # 0xffffffffffffffff + jal putchar + ld x1,24(x30) + move x2,x0 + add x30,x30,96 + j x1 + .end printf + .size printf, .-printf + .local buflen.1596 + .comm buflen.1596,4,4 + .local buf.1595 + .comm buf.1595,64,8 + .ident "GCC: (GNU) 4.6.1" diff --git a/mt/common/syscalls.c b/mt/common/syscalls.c new file mode 100755 index 0000000..f95dde4 --- /dev/null +++ b/mt/common/syscalls.c @@ -0,0 +1,265 @@ +#include <stdint.h> +#include <string.h> +#include <stdarg.h> +#include "pcr.h" + +void exit(int code) +{ + volatile uint64_t magic_mem[8] = {0}; + magic_mem[0] = 1; + magic_mem[1] = code; + __sync_synchronize(); + mtpcr(PCR_TOHOST, (long)magic_mem); + while(1); +} + +void printstr(const char* s) +{ + volatile uint64_t magic_mem[8] = {0}; + magic_mem[0] = 4; + magic_mem[1] = 1; + magic_mem[2] = (unsigned long)s; + magic_mem[3] = strlen(s); + __sync_synchronize(); + mtpcr(PCR_TOHOST, (long)magic_mem); + while(mtpcr(PCR_FROMHOST, 0) == 0); +} + +int putchar(int ch) +{ + #define buffered_putch_bufsize 64 + static char buf[buffered_putch_bufsize]; + static int buflen = 0; + + if(ch != -1) + buf[buflen++] = ch; + + if(ch == -1 || buflen == buffered_putch_bufsize) + { + volatile uint64_t magic_mem[8] = {0}; + magic_mem[0] = 4; + magic_mem[1] = 1; + magic_mem[2] = (long)buf; + magic_mem[3] = buflen; + __sync_synchronize(); + mtpcr(PCR_TOHOST, (long)magic_mem); + while(mtpcr(PCR_FROMHOST, 0) == 0); + + buflen = 0; + } + + return 0; +} + +void printhex(uint64_t x) +{ + char str[17]; + int i; + for (i = 0; i < 16; i++) + { + str[15-i] = (x & 0xF) + ((x & 0xF) < 10 ? '0' : 'a'-10); + x >>= 4; + } + str[16] = 0; + + printstr(str); +} + +static void printnum(void (*putch)(int, void**), void **putdat, + unsigned long long num, unsigned base, int width, int padc) +{ + if (num >= base) + printnum(putch, putdat, num / base, base, width - 1, padc); + else while (--width > 0) + putch(padc, putdat); + + putch("0123456789abcdef"[num % base], putdat); +} + +static unsigned long long getuint(va_list *ap, int lflag) +{ + if (lflag >= 2) + return va_arg(*ap, unsigned long long); + else if (lflag) + return va_arg(*ap, unsigned long); + else + return va_arg(*ap, unsigned int); +} + +static long long getint(va_list *ap, int lflag) +{ + if (lflag >= 2) + return va_arg(*ap, long long); + else if (lflag) + return va_arg(*ap, long); + else + return va_arg(*ap, int); +} + +void vprintfmt(void (*putch)(int, void**), void **putdat, const char *fmt, va_list ap) +{ + register const char* p; + const char* last_fmt; + register int ch, err; + unsigned long long num; + int base, lflag, width, precision, altflag; + char padc; + + while (1) { + while ((ch = *(unsigned char *) fmt) != '%') { + if (ch == '\0') + return; + fmt++; + putch(ch, putdat); + } + fmt++; + + // Process a %-escape sequence + last_fmt = fmt; + padc = ' '; + width = -1; + precision = -1; + lflag = 0; + altflag = 0; + reswitch: + switch (ch = *(unsigned char *) fmt++) { + + // flag to pad on the right + case '-': + padc = '-'; + goto reswitch; + + // flag to pad with 0's instead of spaces + case '0': + padc = '0'; + goto reswitch; + + // width field + case '1': + case '2': + case '3': + case '4': + case '5': + case '6': + case '7': + case '8': + case '9': + for (precision = 0; ; ++fmt) { + precision = precision * 10 + ch - '0'; + ch = *fmt; + if (ch < '0' || ch > '9') + break; + } + goto process_precision; + + case '*': + precision = va_arg(ap, int); + goto process_precision; + + case '.': + if (width < 0) + width = 0; + goto reswitch; + + case '#': + altflag = 1; + goto reswitch; + + process_precision: + if (width < 0) + width = precision, precision = -1; + goto reswitch; + + // long flag (doubled for long long) + case 'l': + lflag++; + goto reswitch; + + // character + case 'c': + putch(va_arg(ap, int), putdat); + break; + + // string + case 's': + if ((p = va_arg(ap, char *)) == NULL) + p = "(null)"; + if (width > 0 && padc != '-') + for (width -= strnlen(p, precision); width > 0; width--) + putch(padc, putdat); + for (; (ch = *p) != '\0' && (precision < 0 || --precision >= 0); width--) { + if (altflag && (ch < ' ' || ch > '~')) + putch('?', putdat); + else + putch(ch, putdat); + p++; + } + for (; width > 0; width--) + putch(' ', putdat); + break; + + // (signed) decimal + case 'd': + num = getint(&ap, lflag); + if ((long long) num < 0) { + putch('-', putdat); + num = -(long long) num; + } + base = 10; + goto number; + + // unsigned decimal + case 'u': + num = getuint(&ap, lflag); + base = 10; + goto number; + + // (unsigned) octal + case 'o': + // should do something with padding so it's always 3 octits + num = getuint(&ap, lflag); + base = 8; + goto number; + + // pointer + case 'p': + putch('0', putdat); + putch('x', putdat); + num = (unsigned long long) + (uintptr_t) va_arg(ap, void *); + base = 16; + goto number; + + // (unsigned) hexadecimal + case 'x': + num = getuint(&ap, lflag); + base = 16; + number: + printnum(putch, putdat, num, base, width, padc); + break; + + // escaped '%' character + case '%': + putch(ch, putdat); + break; + + // unrecognized escape sequence - just print it literally + default: + putch('%', putdat); + fmt = last_fmt; + break; + } + } +} + +int printf(const char* fmt, ...) +{ + va_list ap; + va_start(ap, fmt); + + vprintfmt((void*)putchar, 0, fmt, ap); + putchar(-1); + + va_end(ap); + return 0; // incorrect return value, but who cares, anyway? +} diff --git a/mt/common/test-mt.ld b/mt/common/test-mt.ld new file mode 100644 index 0000000..5523032 --- /dev/null +++ b/mt/common/test-mt.ld @@ -0,0 +1,45 @@ +/*======================================================================*/ +/* Proxy kernel linker script */ +/*======================================================================*/ +/* This is the linker script used when building the proxy kernel. */ + +/*----------------------------------------------------------------------*/ +/* Setup */ +/*----------------------------------------------------------------------*/ + +/* The OUTPUT_ARCH command specifies the machine architecture where the + argument is one of the names used in the BFD library. More + specifically one of the entires in bfd/cpu-mips.c */ + +OUTPUT_ARCH( "riscv" ) + +/* The ENTRY command specifies the entry point (ie. first instruction + to execute). The symbol _start should be defined in each test. */ + +ENTRY( _start ) + +/*----------------------------------------------------------------------*/ +/* Sections */ +/*----------------------------------------------------------------------*/ + +SECTIONS +{ + + /* text: test code section */ + . = 0x00002000; + .text : + { + crt-mt.o(.text) + *(.text) + } + + /* data: Initialized data segment */ + .data : + { + *(.data) + } + + /* End of uninitalized data segement */ + _end = .; +} + diff --git a/mt/common/test.ld b/mt/common/test.ld new file mode 100755 index 0000000..952bf53 --- /dev/null +++ b/mt/common/test.ld @@ -0,0 +1,45 @@ +/*======================================================================*/ +/* Proxy kernel linker script */ +/*======================================================================*/ +/* This is the linker script used when building the proxy kernel. */ + +/*----------------------------------------------------------------------*/ +/* Setup */ +/*----------------------------------------------------------------------*/ + +/* The OUTPUT_ARCH command specifies the machine architecture where the + argument is one of the names used in the BFD library. More + specifically one of the entires in bfd/cpu-mips.c */ + +OUTPUT_ARCH( "riscv" ) + +/* The ENTRY command specifies the entry point (ie. first instruction + to execute). The symbol _start should be defined in each test. */ + +ENTRY( _start ) + +/*----------------------------------------------------------------------*/ +/* Sections */ +/*----------------------------------------------------------------------*/ + +SECTIONS +{ + + /* text: test code section */ + . = 0x00002000; + .text : + { + crt.o(.text) + *(.text) + } + + /* data: Initialized data segment */ + .data : + { + *(.data) + } + + /* End of uninitalized data segement */ + _end = .; +} + diff --git a/mt/common/util.h b/mt/common/util.h new file mode 100755 index 0000000..83b2b6c --- /dev/null +++ b/mt/common/util.h @@ -0,0 +1,32 @@ +// helpful utility and synch functions + +// relies on defining "ncores" before including this file... + +#ifndef __UTIL_H +#define __UTIL_H + +#define rdcycle() ({ unsigned long _c; asm volatile ("rdcycle %0" : "=r"(_c) :: "memory"); _c; }) +#define rdinstret() ({ unsigned long _c; asm volatile ("rdinstret %0" : "=r"(_c) :: "memory"); _c; }) + +void __attribute__((noinline)) barrier() +{ + static volatile int sense; + static volatile int count; + static __thread int threadsense; + + __sync_synchronize(); + + threadsense = !threadsense; + if (__sync_fetch_and_add(&count, 1) == ncores-1) + { + count = 0; + sense = threadsense; + } + else while(sense != threadsense) + ; + + __sync_synchronize(); +} + +#endif //__UTIL_H + diff --git a/mt/matmul/dataset.h b/mt/matmul/dataset.h new file mode 100755 index 0000000..dde3ee4 --- /dev/null +++ b/mt/matmul/dataset.h @@ -0,0 +1,174 @@ + +#define ARRAY_SIZE 1024 + + +#define DIM_SIZE 32 + +static data_t input1_data[ARRAY_SIZE] = +{ + 0, 3, 2, 0, 3, 1, 0, 3, 2, 3, 2, 0, 3, 3, 1, 2, 3, 0, 0, 1, + 1, 1, 2, 3, 1, 2, 3, 1, 1, 3, 2, 2, 0, 1, 3, 2, 2, 2, 0, 0, + 1, 0, 1, 3, 3, 0, 3, 3, 3, 3, 0, 3, 2, 1, 2, 2, 0, 0, 3, 0, + 1, 1, 0, 3, 3, 1, 2, 3, 3, 0, 1, 2, 1, 0, 1, 2, 2, 1, 0, 3, + 1, 0, 2, 2, 1, 1, 1, 1, 1, 1, 2, 0, 3, 1, 1, 2, 2, 3, 3, 1, + 3, 2, 0, 0, 0, 3, 3, 3, 2, 1, 2, 3, 1, 0, 0, 0, 0, 1, 2, 2, + 1, 1, 3, 3, 3, 1, 1, 2, 3, 1, 3, 3, 2, 3, 2, 1, 2, 3, 0, 2, + 2, 1, 1, 0, 0, 0, 0, 0, 1, 3, 3, 1, 1, 1, 2, 2, 3, 2, 1, 1, + 1, 1, 3, 0, 2, 2, 1, 3, 2, 1, 2, 2, 1, 3, 1, 3, 1, 3, 2, 3, + 1, 2, 1, 3, 2, 2, 0, 1, 0, 0, 1, 2, 3, 3, 1, 0, 0, 0, 3, 1, + 2, 3, 2, 3, 2, 0, 0, 0, 0, 0, 3, 1, 3, 0, 0, 0, 3, 1, 1, 1, + 1, 2, 1, 2, 3, 2, 0, 0, 2, 2, 3, 0, 3, 0, 0, 3, 0, 3, 1, 3, + 3, 1, 1, 1, 2, 2, 1, 3, 0, 3, 3, 1, 0, 0, 3, 2, 1, 3, 3, 3, + 1, 0, 1, 1, 2, 1, 0, 1, 1, 2, 2, 3, 1, 2, 2, 2, 0, 1, 3, 3, + 3, 2, 2, 1, 0, 1, 2, 0, 1, 1, 1, 1, 2, 3, 2, 2, 3, 3, 0, 0, + 2, 0, 0, 0, 3, 0, 1, 0, 3, 0, 0, 0, 3, 0, 0, 2, 0, 2, 0, 0, + 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 0, 2, 0, 0, 3, 3, 2, 3, 3, 0, + 1, 0, 2, 2, 0, 3, 3, 1, 1, 0, 2, 3, 2, 1, 1, 0, 1, 2, 1, 2, + 2, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 3, 3, 2, 0, 0, 1, 3, 0, 3, + 3, 0, 0, 0, 0, 3, 3, 1, 0, 0, 3, 3, 2, 1, 2, 1, 3, 3, 0, 1, + 3, 0, 2, 3, 1, 3, 3, 3, 3, 3, 0, 1, 1, 3, 0, 2, 2, 3, 1, 2, + 2, 2, 1, 3, 3, 0, 3, 0, 0, 2, 0, 2, 3, 0, 1, 3, 2, 2, 0, 0, + 2, 3, 0, 2, 2, 2, 3, 1, 0, 3, 3, 3, 3, 1, 0, 3, 3, 2, 0, 3, + 2, 0, 3, 0, 2, 0, 0, 2, 2, 1, 0, 2, 3, 1, 1, 1, 1, 2, 3, 3, + 3, 0, 0, 3, 3, 3, 2, 3, 3, 1, 2, 2, 3, 1, 2, 1, 1, 3, 0, 1, + 2, 0, 2, 0, 0, 1, 3, 2, 0, 1, 3, 2, 3, 3, 0, 0, 0, 1, 0, 3, + 3, 2, 2, 2, 1, 1, 2, 2, 1, 3, 2, 0, 1, 3, 2, 0, 2, 1, 3, 0, + 0, 0, 1, 3, 3, 2, 2, 2, 3, 1, 0, 0, 1, 1, 2, 1, 3, 1, 1, 2, + 2, 3, 2, 3, 0, 2, 3, 3, 0, 3, 0, 0, 1, 0, 0, 0, 1, 3, 1, 1, + 2, 3, 2, 1, 1, 2, 2, 2, 3, 0, 1, 1, 2, 1, 2, 0, 2, 3, 1, 3, + 0, 1, 1, 3, 0, 2, 3, 0, 1, 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 2, + 3, 0, 1, 1, 1, 1, 2, 0, 1, 2, 0, 1, 1, 1, 0, 1, 3, 2, 3, 1, + 0, 2, 1, 2, 1, 3, 3, 1, 0, 2, 2, 3, 1, 3, 1, 3, 0, 1, 0, 3, + 0, 3, 2, 0, 3, 3, 3, 0, 3, 2, 2, 2, 1, 3, 0, 0, 1, 1, 3, 0, + 1, 2, 1, 0, 0, 0, 3, 2, 2, 0, 0, 2, 1, 3, 0, 0, 3, 0, 0, 2, + 1, 1, 2, 2, 1, 3, 2, 2, 1, 1, 2, 1, 3, 2, 1, 1, 3, 0, 1, 3, + 3, 2, 2, 1, 0, 3, 2, 2, 2, 3, 0, 1, 3, 3, 2, 3, 0, 3, 2, 3, + 1, 1, 0, 0, 0, 2, 3, 0, 3, 0, 1, 1, 3, 1, 3, 2, 1, 1, 2, 1, + 3, 2, 0, 2, 1, 0, 2, 3, 2, 3, 2, 1, 2, 3, 0, 0, 1, 1, 0, 0, + 2, 1, 0, 1, 2, 2, 2, 2, 0, 3, 3, 1, 0, 0, 0, 0, 3, 1, 1, 0, + 0, 0, 0, 1, 2, 2, 1, 3, 0, 2, 3, 2, 3, 2, 2, 1, 2, 2, 3, 3, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 2, 2, 3, 1, 1, 1, 0, 0, 0, 3, 0, + 1, 0, 3, 1, 1, 3, 0, 1, 2, 2, 0, 0, 3, 3, 3, 3, 2, 1, 0, 0, + 1, 0, 2, 0, 1, 1, 0, 0, 3, 3, 2, 1, 1, 1, 0, 1, 1, 2, 2, 1, + 1, 2, 0, 3, 1, 3, 1, 0, 3, 0, 3, 1, 1, 1, 0, 2, 0, 3, 1, 0, + 1, 0, 2, 0, 2, 3, 3, 3, 1, 2, 3, 2, 2, 0, 1, 1, 0, 3, 3, 1, + 3, 3, 2, 0, 2, 0, 2, 2, 3, 3, 3, 0, 2, 3, 3, 1, 3, 2, 2, 2, + 0, 2, 3, 0, 2, 0, 3, 2, 2, 1, 1, 0, 2, 2, 2, 0, 2, 2, 0, 1, + 3, 2, 1, 3, 2, 2, 0, 3, 3, 1, 2, 2, 0, 0, 3, 2, 1, 2, 2, 1, + 3, 1, 2, 0, 0, 1, 1, 2, 1, 3, 2, 2, 3, 0, 2, 1, 3, 2, 1, 3, + 2, 3, 3, 1, 2, 1, 2, 2, 0, 0, 0, 3, 0, 2, 3, 1, 0, 0, 2, 3, + 3, 2, 2, 1 +}; + +static data_t input2_data[ARRAY_SIZE] = +{ + 1, 1, 0, 3, 1, 2, 0, 0, 0, 0, 0, 2, 1, 2, 3, 0, 0, 3, 3, 2, + 2, 1, 2, 3, 3, 0, 2, 2, 1, 1, 2, 2, 0, 2, 2, 1, 2, 3, 2, 2, + 3, 3, 2, 2, 1, 1, 1, 1, 2, 1, 2, 2, 3, 3, 3, 0, 0, 3, 2, 3, + 2, 3, 1, 2, 1, 1, 2, 2, 0, 1, 0, 3, 2, 1, 1, 1, 2, 0, 1, 2, + 2, 0, 2, 1, 3, 3, 2, 3, 2, 0, 3, 1, 3, 3, 2, 0, 1, 0, 1, 1, + 2, 2, 1, 1, 2, 2, 1, 2, 3, 3, 1, 3, 2, 2, 2, 3, 3, 1, 0, 2, + 1, 0, 0, 0, 1, 1, 2, 0, 3, 2, 3, 3, 0, 2, 3, 1, 0, 0, 2, 1, + 2, 0, 2, 1, 1, 2, 3, 1, 3, 2, 1, 0, 0, 0, 0, 0, 2, 2, 0, 2, + 1, 2, 0, 3, 2, 2, 0, 0, 3, 2, 1, 1, 3, 0, 2, 0, 0, 1, 0, 2, + 3, 3, 1, 3, 3, 0, 0, 2, 2, 0, 0, 0, 1, 0, 0, 1, 3, 0, 2, 1, + 3, 2, 2, 1, 3, 2, 0, 1, 2, 2, 3, 2, 1, 1, 1, 1, 3, 0, 1, 3, + 2, 2, 3, 1, 1, 2, 0, 2, 1, 1, 2, 3, 1, 0, 1, 0, 1, 1, 0, 0, + 2, 0, 3, 0, 3, 0, 3, 2, 2, 3, 3, 2, 1, 0, 2, 2, 1, 1, 0, 3, + 3, 2, 2, 0, 0, 3, 0, 1, 0, 0, 1, 2, 0, 1, 3, 0, 1, 2, 2, 0, + 0, 3, 0, 3, 0, 1, 1, 2, 0, 0, 0, 3, 0, 0, 2, 1, 1, 1, 0, 2, + 1, 3, 1, 2, 0, 3, 0, 3, 1, 3, 0, 0, 2, 2, 2, 2, 3, 3, 2, 1, + 2, 2, 1, 1, 2, 2, 2, 2, 0, 3, 0, 0, 2, 0, 1, 2, 0, 3, 2, 3, + 2, 0, 2, 1, 2, 1, 0, 2, 1, 1, 3, 2, 2, 3, 1, 0, 3, 3, 1, 0, + 3, 2, 2, 0, 0, 3, 0, 0, 2, 0, 3, 2, 3, 1, 1, 0, 0, 2, 3, 0, + 0, 1, 1, 1, 2, 1, 3, 2, 1, 3, 0, 1, 3, 3, 1, 1, 1, 1, 1, 1, + 0, 0, 2, 3, 2, 2, 2, 3, 2, 3, 1, 2, 3, 2, 2, 2, 0, 1, 3, 0, + 1, 1, 0, 1, 0, 1, 1, 3, 3, 1, 2, 2, 3, 2, 0, 2, 2, 0, 1, 3, + 0, 1, 3, 2, 1, 3, 3, 2, 0, 1, 3, 2, 0, 2, 1, 1, 0, 3, 0, 1, + 1, 1, 1, 1, 3, 0, 0, 1, 0, 2, 3, 1, 3, 0, 2, 1, 3, 0, 3, 0, + 3, 2, 2, 0, 0, 2, 1, 3, 3, 2, 3, 2, 2, 1, 2, 2, 3, 0, 3, 2, + 2, 0, 3, 2, 3, 2, 0, 0, 1, 2, 0, 0, 2, 0, 0, 3, 3, 2, 0, 0, + 3, 3, 0, 2, 3, 1, 0, 1, 0, 2, 1, 0, 2, 1, 0, 1, 0, 3, 0, 2, + 2, 3, 0, 0, 2, 1, 0, 1, 0, 0, 0, 2, 2, 3, 2, 0, 3, 3, 2, 1, + 0, 0, 3, 1, 2, 3, 3, 1, 0, 3, 1, 1, 0, 3, 3, 3, 2, 2, 2, 0, + 1, 2, 0, 3, 0, 1, 0, 1, 1, 0, 1, 2, 0, 3, 2, 0, 1, 2, 2, 0, + 2, 0, 0, 1, 0, 3, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 1, 1, 1, 0, + 2, 1, 1, 3, 2, 0, 2, 1, 1, 0, 2, 2, 1, 3, 0, 2, 1, 0, 1, 2, + 0, 1, 3, 2, 3, 2, 1, 0, 2, 0, 2, 2, 3, 1, 1, 3, 2, 3, 2, 2, + 0, 2, 0, 0, 0, 3, 2, 0, 2, 2, 3, 3, 3, 2, 1, 2, 0, 0, 3, 0, + 2, 0, 3, 2, 2, 3, 0, 3, 2, 1, 2, 2, 1, 2, 0, 0, 3, 1, 2, 0, + 2, 3, 2, 2, 1, 1, 1, 3, 3, 3, 3, 3, 1, 3, 0, 1, 3, 2, 2, 1, + 0, 1, 1, 2, 1, 2, 3, 1, 2, 2, 1, 2, 1, 1, 0, 3, 3, 1, 1, 3, + 2, 0, 0, 1, 2, 0, 1, 3, 1, 0, 0, 2, 2, 3, 3, 0, 2, 3, 2, 1, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 3, 3, 3, 1, 3, 0, 3, 1, 1, 2, 2, + 2, 1, 0, 3, 2, 3, 0, 2, 3, 2, 3, 1, 2, 3, 3, 1, 2, 1, 0, 0, + 0, 3, 3, 3, 3, 0, 3, 3, 3, 3, 2, 1, 0, 3, 0, 3, 2, 3, 1, 0, + 0, 1, 3, 1, 0, 2, 2, 3, 1, 0, 2, 1, 1, 3, 1, 1, 3, 1, 2, 1, + 0, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 3, 3, 1, 0, 3, 1, 1, 2, 0, + 0, 0, 2, 3, 3, 2, 2, 3, 0, 2, 3, 1, 3, 3, 0, 2, 1, 2, 2, 2, + 1, 0, 1, 3, 2, 3, 1, 1, 2, 1, 1, 0, 0, 2, 3, 2, 1, 0, 3, 1, + 3, 0, 1, 1, 2, 2, 1, 3, 3, 1, 1, 0, 0, 3, 3, 0, 0, 0, 0, 0, + 3, 1, 3, 0, 0, 0, 3, 3, 2, 1, 3, 0, 1, 3, 1, 1, 1, 0, 1, 0, + 1, 2, 2, 2, 3, 3, 0, 2, 3, 2, 1, 3, 3, 1, 1, 3, 0, 3, 3, 2, + 1, 1, 2, 0, 3, 0, 1, 2, 1, 1, 0, 0, 1, 2, 2, 0, 3, 1, 1, 1, + 3, 3, 3, 1, 0, 3, 3, 2, 2, 2, 1, 2, 0, 1, 1, 3, 0, 3, 1, 0, + 2, 2, 0, 1, 2, 3, 2, 1, 2, 0, 3, 2, 1, 3, 0, 1, 2, 0, 3, 0, + 1, 1, 2, 1 +}; + +static data_t verify_data[ARRAY_SIZE] = +{ + 72, 75, 88, 101, 80, 88, 73, 75, 80, 81, 58, 75, 86, 65, 60, 80, 84, 83, 87, 83, + 108, 93, 85, 76, 72, 98, 79, 86, 80, 96, 91, 85, 72, 64, 70, 83, 68, 92, 51, 54, + 85, 85, 60, 58, 90, 64, 55, 69, 72, 48, 94, 77, 91, 83, 70, 69, 67, 77, 59, 50, + 67, 74, 77, 67, 67, 62, 72, 71, 68, 79, 54, 61, 67, 61, 55, 62, 78, 60, 53, 64, + 67, 69, 99, 68, 88, 60, 66, 63, 70, 62, 65, 50, 53, 66, 70, 72, 75, 78, 85, 95, + 71, 89, 70, 68, 86, 88, 58, 77, 84, 70, 65, 68, 73, 75, 91, 96, 105, 92, 76, 68, + 86, 69, 80, 59, 73, 83, 88, 75, 64, 63, 71, 99, 77, 77, 69, 55, 80, 73, 54, 73, + 87, 78, 60, 69, 65, 78, 86, 89, 95, 92, 63, 69, 89, 61, 80, 65, 70, 77, 89, 77, + 79, 79, 73, 92, 64, 81, 60, 78, 81, 80, 61, 63, 89, 65, 56, 83, 77, 65, 102, 70, + 98, 86, 96, 68, 72, 89, 73, 73, 70, 89, 84, 76, 48, 61, 63, 70, 70, 79, 50, 53, + 64, 63, 43, 51, 59, 62, 43, 63, 55, 77, 79, 74, 75, 74, 64, 44, 65, 69, 72, 66, + 54, 71, 74, 72, 69, 76, 68, 89, 94, 75, 65, 53, 85, 79, 65, 74, 82, 73, 58, 70, + 84, 77, 99, 72, 92, 84, 78, 62, 59, 83, 71, 74, 63, 85, 80, 78, 71, 72, 79, 83, + 73, 82, 60, 85, 76, 82, 60, 70, 82, 68, 54, 85, 84, 70, 86, 74, 100, 88, 98, 68, + 67, 87, 69, 73, 68, 88, 76, 71, 47, 43, 47, 80, 54, 65, 40, 37, 59, 53, 33, 48, + 62, 40, 36, 55, 36, 62, 53, 57, 70, 69, 45, 43, 53, 61, 42, 57, 56, 63, 51, 47, + 59, 75, 64, 89, 83, 75, 59, 75, 91, 92, 58, 64, 83, 74, 58, 60, 76, 66, 97, 69, + 90, 95, 92, 64, 78, 75, 77, 73, 65, 78, 82, 75, 47, 54, 59, 71, 59, 56, 53, 42, + 60, 55, 40, 51, 60, 46, 36, 59, 46, 57, 67, 43, 51, 53, 53, 38, 54, 56, 55, 48, + 41, 46, 63, 63, 80, 77, 89, 102, 89, 98, 74, 86, 98, 93, 63, 76, 98, 77, 48, 101, + 86, 88, 100, 82, 102, 90, 95, 75, 86, 103, 83, 98, 80, 104, 98, 86, 71, 74, 80, 90, + 86, 87, 73, 70, 81, 83, 55, 66, 90, 66, 58, 84, 77, 84, 93, 72, 99, 75, 85, 65, + 70, 89, 71, 82, 64, 79, 82, 80, 67, 73, 86, 101, 78, 97, 66, 64, 84, 80, 55, 64, + 79, 73, 51, 79, 89, 68, 94, 77, 109, 102, 82, 61, 66, 93, 88, 70, 82, 82, 85, 69, + 69, 72, 66, 97, 85, 90, 70, 59, 76, 89, 53, 56, 90, 79, 71, 64, 70, 67, 100, 92, + 106, 89, 83, 78, 73, 80, 70, 72, 65, 70, 92, 88, 57, 76, 55, 85, 66, 80, 61, 63, + 63, 78, 54, 58, 71, 73, 54, 63, 63, 62, 89, 76, 86, 81, 83, 54, 70, 81, 78, 64, + 56, 72, 74, 81, 75, 63, 68, 89, 65, 77, 58, 68, 75, 83, 52, 62, 82, 63, 55, 75, + 51, 70, 95, 66, 83, 77, 86, 61, 64, 77, 48, 70, 66, 82, 72, 75, 79, 71, 72, 89, + 78, 78, 66, 59, 91, 80, 55, 64, 79, 68, 54, 71, 67, 75, 87, 84, 100, 101, 76, 58, + 74, 82, 61, 74, 75, 97, 85, 79, 61, 55, 69, 68, 72, 65, 52, 64, 80, 73, 48, 54, + 71, 66, 42, 61, 66, 63, 92, 64, 85, 77, 73, 54, 74, 73, 76, 66, 62, 79, 85, 70, + 71, 84, 87, 81, 88, 86, 77, 77, 93, 88, 78, 71, 101, 89, 58, 84, 95, 81, 89, 97, + 104, 79, 83, 76, 90, 81, 91, 74, 70, 76, 91, 80, 51, 48, 56, 69, 47, 63, 54, 42, + 63, 63, 42, 52, 66, 56, 39, 59, 61, 52, 59, 63, 62, 68, 57, 35, 67, 58, 56, 52, + 61, 63, 60, 47, 85, 75, 89, 106, 88, 95, 74, 82, 107, 107, 64, 78, 98, 90, 62, 91, + 79, 87, 111, 84, 104, 106, 96, 68, 94, 99, 81, 89, 79, 105, 95, 86, 65, 63, 77, 89, + 66, 88, 56, 73, 82, 92, 41, 62, 85, 66, 50, 81, 57, 71, 77, 78, 86, 89, 77, 53, + 67, 78, 61, 63, 72, 82, 69, 66, 59, 46, 55, 70, 56, 64, 45, 50, 65, 64, 42, 56, + 78, 49, 51, 52, 38, 56, 72, 55, 73, 72, 61, 50, 63, 60, 47, 57, 55, 73, 53, 68, + 85, 88, 91, 96, 82, 89, 73, 76, 87, 86, 67, 69, 96, 84, 57, 89, 87, 89, 99, 88, + 104, 90, 85, 75, 88, 92, 85, 75, 74, 87, 103, 94, 55, 48, 56, 65, 72, 50, 45, 51, + 63, 62, 47, 57, 79, 53, 36, 63, 54, 68, 71, 59, 63, 61, 63, 41, 50, 73, 57, 59, + 56, 76, 73, 65, 61, 64, 61, 79, 53, 73, 57, 44, 61, 59, 59, 56, 81, 59, 49, 62, + 65, 55, 69, 72, 79, 70, 58, 57, 68, 61, 62, 50, 57, 60, 66, 66, 63, 77, 81, 89, + 85, 81, 76, 73, 78, 95, 59, 70, 81, 77, 46, 79, 78, 79, 83, 81, 84, 82, 85, 48, + 74, 85, 85, 74, 74, 80, 80, 74, 60, 76, 80, 97, 88, 93, 66, 66, 73, 84, 56, 70, + 90, 63, 58, 78, 73, 93, 90, 78, 94, 88, 82, 67, 85, 70, 81, 86, 74, 82, 88, 82, + 68, 73, 75, 91, 78, 97, 71, 66, 74, 85, 50, 59, 86, 77, 70, 74, 75, 74, 99, 82, + 99, 91, 86, 65, 80, 77, 72, 69, 60, 78, 90, 87, 79, 69, 74, 98, 70, 86, 81, 67, + 69, 78, 48, 65, 88, 70, 70, 70, 69, 72, 96, 90, 99, 82, 81, 76, 98, 73, 74, 71, + 69, 73, 94, 89 +}; + diff --git a/mt/matmul/matmul.c b/mt/matmul/matmul.c new file mode 100755 index 0000000..93f8ea9 --- /dev/null +++ b/mt/matmul/matmul.c @@ -0,0 +1,167 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + + // Execute the provided, naive matmul + barrier(); + stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + + // clear results from the first trial + size_t i; + if (coreid == 0) + for (i=0; i < ARRAY_SIZE; i++) + results_data[i] = 0; + barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/matmul/matmul_gendata.pl b/mt/matmul/matmul_gendata.pl new file mode 100755 index 0000000..f21bb46 --- /dev/null +++ b/mt/matmul/matmul_gendata.pl @@ -0,0 +1,200 @@ +#!/usr/bin/perl -w +#========================================================================== +# matmul_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the matmul benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: matmul_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[ARRAY_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3d",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + + + +#-------------------------------------------------------------------------- +# Matmul +#-------------------------------------------------------------------------- + +# http://answers.oreilly.com/topic/418-how-to-multiply-matrices-in-perl/ + +sub mmult { + my ($m1,$m2) = @_; + my ($m1rows,$m1cols) = matdim($m1); + my ($m2rows,$m2cols) = matdim($m2); + + my $result = [ ]; + my ($i, $j, $k); + + for $i (range($m1rows)) { + for $j (range($m2cols)) { + for $k (range($m1cols)) { + $result->[$i][$j] += $m1->[$i][$k] * $m2->[$k][$j]; + } + } + } + return $result; +} + +sub range { 0 .. ($_[0] - 1) } + + +sub veclen { + my $ary_ref = $_[0]; + my $type = ref $ary_ref; + if ($type ne "ARRAY") { die "$type is bad array ref for $ary_ref" } + return scalar(@$ary_ref); +} + +sub matdim { + my $matrix = $_[0]; + my $rows = veclen($matrix); + my $cols = veclen($matrix->[0]); + return ($rows, $cols); +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + # create random input arrays + my $mat_values1; + my $mat_values2; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + $mat_values1->[$i][$j] = int(rand(4)); + $mat_values2->[$i][$j] = int(rand(4)); + } + } + + # perform matmul + my $mat_results = mmult( $mat_values1, $mat_values2 ); + + # translate 2d arrays to 1d-somethings (I don't know how to code in perl - Chris) + my @values1; + my @values2; + my @results; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + my $value1 = $mat_values1->[$i][$j]; + my $value2 = $mat_values2->[$i][$j]; + my $result = $mat_results->[$i][$j]; + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @results, $result ); + } + } + + print "\n\#define ARRAY_SIZE ".($opts{"size"}*$opts{"size"})." \n\n"; + print "\n\#define DIM_SIZE ".$opts{"size"}." \n\n"; + + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@results); + +} + +main(); + diff --git a/mt/mt-matmul/bmark.mk b/mt/mt-matmul/bmark.mk new file mode 100644 index 0000000..67d6af3 --- /dev/null +++ b/mt/mt-matmul/bmark.mk @@ -0,0 +1,29 @@ +#======================================================================= +# UCB CS250 Makefile fragment for benchmarks +#----------------------------------------------------------------------- +# +# Each benchmark directory should have its own fragment which +# essentially lists what the source files are and how to link them +# into an riscv and/or host executable. All variables should include +# the benchmark name as a prefix so that they are unique. +# + +mt_matmul_c_src = \ + mt-matmul.c \ + +mt_matmul_riscv_src = \ + crt-mt.S \ + +mt_matmul_c_objs = $(patsubst %.c, %.o, $(mt_matmul_c_src)) +mt_matmul_riscv_objs = $(patsubst %.S, %.o, $(mt_matmul_riscv_src)) + +mt_matmul_host_bin = mt-matmul.host +$(mt_matmul_host_bin) : $(mt_matmul_c_src) + $(HOST_COMP) $^ -o $(mt_matmul_host_bin) + +mt_matmul_riscv_bin = mt-matmul.riscv +$(mt_matmul_riscv_bin) : $(mt_matmul_c_objs) $(mt_matmul_riscv_objs) + $(RISCV_LINK_MT) $(RISCV_LINK_SYSCALL) $(mt_matmul_c_objs) $(mt_matmul_riscv_objs) -o $(mt_matmul_riscv_bin) + +junk += $(mt_matmul_c_objs) $(mt_matmul_riscv_objs) \ + $(mt_matmul_host_bin) $(mt_matmul_riscv_bin) diff --git a/mt/mt-matmul/dataset.h b/mt/mt-matmul/dataset.h new file mode 100644 index 0000000..dde3ee4 --- /dev/null +++ b/mt/mt-matmul/dataset.h @@ -0,0 +1,174 @@ + +#define ARRAY_SIZE 1024 + + +#define DIM_SIZE 32 + +static data_t input1_data[ARRAY_SIZE] = +{ + 0, 3, 2, 0, 3, 1, 0, 3, 2, 3, 2, 0, 3, 3, 1, 2, 3, 0, 0, 1, + 1, 1, 2, 3, 1, 2, 3, 1, 1, 3, 2, 2, 0, 1, 3, 2, 2, 2, 0, 0, + 1, 0, 1, 3, 3, 0, 3, 3, 3, 3, 0, 3, 2, 1, 2, 2, 0, 0, 3, 0, + 1, 1, 0, 3, 3, 1, 2, 3, 3, 0, 1, 2, 1, 0, 1, 2, 2, 1, 0, 3, + 1, 0, 2, 2, 1, 1, 1, 1, 1, 1, 2, 0, 3, 1, 1, 2, 2, 3, 3, 1, + 3, 2, 0, 0, 0, 3, 3, 3, 2, 1, 2, 3, 1, 0, 0, 0, 0, 1, 2, 2, + 1, 1, 3, 3, 3, 1, 1, 2, 3, 1, 3, 3, 2, 3, 2, 1, 2, 3, 0, 2, + 2, 1, 1, 0, 0, 0, 0, 0, 1, 3, 3, 1, 1, 1, 2, 2, 3, 2, 1, 1, + 1, 1, 3, 0, 2, 2, 1, 3, 2, 1, 2, 2, 1, 3, 1, 3, 1, 3, 2, 3, + 1, 2, 1, 3, 2, 2, 0, 1, 0, 0, 1, 2, 3, 3, 1, 0, 0, 0, 3, 1, + 2, 3, 2, 3, 2, 0, 0, 0, 0, 0, 3, 1, 3, 0, 0, 0, 3, 1, 1, 1, + 1, 2, 1, 2, 3, 2, 0, 0, 2, 2, 3, 0, 3, 0, 0, 3, 0, 3, 1, 3, + 3, 1, 1, 1, 2, 2, 1, 3, 0, 3, 3, 1, 0, 0, 3, 2, 1, 3, 3, 3, + 1, 0, 1, 1, 2, 1, 0, 1, 1, 2, 2, 3, 1, 2, 2, 2, 0, 1, 3, 3, + 3, 2, 2, 1, 0, 1, 2, 0, 1, 1, 1, 1, 2, 3, 2, 2, 3, 3, 0, 0, + 2, 0, 0, 0, 3, 0, 1, 0, 3, 0, 0, 0, 3, 0, 0, 2, 0, 2, 0, 0, + 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 0, 2, 0, 0, 3, 3, 2, 3, 3, 0, + 1, 0, 2, 2, 0, 3, 3, 1, 1, 0, 2, 3, 2, 1, 1, 0, 1, 2, 1, 2, + 2, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 3, 3, 2, 0, 0, 1, 3, 0, 3, + 3, 0, 0, 0, 0, 3, 3, 1, 0, 0, 3, 3, 2, 1, 2, 1, 3, 3, 0, 1, + 3, 0, 2, 3, 1, 3, 3, 3, 3, 3, 0, 1, 1, 3, 0, 2, 2, 3, 1, 2, + 2, 2, 1, 3, 3, 0, 3, 0, 0, 2, 0, 2, 3, 0, 1, 3, 2, 2, 0, 0, + 2, 3, 0, 2, 2, 2, 3, 1, 0, 3, 3, 3, 3, 1, 0, 3, 3, 2, 0, 3, + 2, 0, 3, 0, 2, 0, 0, 2, 2, 1, 0, 2, 3, 1, 1, 1, 1, 2, 3, 3, + 3, 0, 0, 3, 3, 3, 2, 3, 3, 1, 2, 2, 3, 1, 2, 1, 1, 3, 0, 1, + 2, 0, 2, 0, 0, 1, 3, 2, 0, 1, 3, 2, 3, 3, 0, 0, 0, 1, 0, 3, + 3, 2, 2, 2, 1, 1, 2, 2, 1, 3, 2, 0, 1, 3, 2, 0, 2, 1, 3, 0, + 0, 0, 1, 3, 3, 2, 2, 2, 3, 1, 0, 0, 1, 1, 2, 1, 3, 1, 1, 2, + 2, 3, 2, 3, 0, 2, 3, 3, 0, 3, 0, 0, 1, 0, 0, 0, 1, 3, 1, 1, + 2, 3, 2, 1, 1, 2, 2, 2, 3, 0, 1, 1, 2, 1, 2, 0, 2, 3, 1, 3, + 0, 1, 1, 3, 0, 2, 3, 0, 1, 2, 3, 2, 0, 0, 3, 3, 2, 1, 1, 2, + 3, 0, 1, 1, 1, 1, 2, 0, 1, 2, 0, 1, 1, 1, 0, 1, 3, 2, 3, 1, + 0, 2, 1, 2, 1, 3, 3, 1, 0, 2, 2, 3, 1, 3, 1, 3, 0, 1, 0, 3, + 0, 3, 2, 0, 3, 3, 3, 0, 3, 2, 2, 2, 1, 3, 0, 0, 1, 1, 3, 0, + 1, 2, 1, 0, 0, 0, 3, 2, 2, 0, 0, 2, 1, 3, 0, 0, 3, 0, 0, 2, + 1, 1, 2, 2, 1, 3, 2, 2, 1, 1, 2, 1, 3, 2, 1, 1, 3, 0, 1, 3, + 3, 2, 2, 1, 0, 3, 2, 2, 2, 3, 0, 1, 3, 3, 2, 3, 0, 3, 2, 3, + 1, 1, 0, 0, 0, 2, 3, 0, 3, 0, 1, 1, 3, 1, 3, 2, 1, 1, 2, 1, + 3, 2, 0, 2, 1, 0, 2, 3, 2, 3, 2, 1, 2, 3, 0, 0, 1, 1, 0, 0, + 2, 1, 0, 1, 2, 2, 2, 2, 0, 3, 3, 1, 0, 0, 0, 0, 3, 1, 1, 0, + 0, 0, 0, 1, 2, 2, 1, 3, 0, 2, 3, 2, 3, 2, 2, 1, 2, 2, 3, 3, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 2, 2, 3, 1, 1, 1, 0, 0, 0, 3, 0, + 1, 0, 3, 1, 1, 3, 0, 1, 2, 2, 0, 0, 3, 3, 3, 3, 2, 1, 0, 0, + 1, 0, 2, 0, 1, 1, 0, 0, 3, 3, 2, 1, 1, 1, 0, 1, 1, 2, 2, 1, + 1, 2, 0, 3, 1, 3, 1, 0, 3, 0, 3, 1, 1, 1, 0, 2, 0, 3, 1, 0, + 1, 0, 2, 0, 2, 3, 3, 3, 1, 2, 3, 2, 2, 0, 1, 1, 0, 3, 3, 1, + 3, 3, 2, 0, 2, 0, 2, 2, 3, 3, 3, 0, 2, 3, 3, 1, 3, 2, 2, 2, + 0, 2, 3, 0, 2, 0, 3, 2, 2, 1, 1, 0, 2, 2, 2, 0, 2, 2, 0, 1, + 3, 2, 1, 3, 2, 2, 0, 3, 3, 1, 2, 2, 0, 0, 3, 2, 1, 2, 2, 1, + 3, 1, 2, 0, 0, 1, 1, 2, 1, 3, 2, 2, 3, 0, 2, 1, 3, 2, 1, 3, + 2, 3, 3, 1, 2, 1, 2, 2, 0, 0, 0, 3, 0, 2, 3, 1, 0, 0, 2, 3, + 3, 2, 2, 1 +}; + +static data_t input2_data[ARRAY_SIZE] = +{ + 1, 1, 0, 3, 1, 2, 0, 0, 0, 0, 0, 2, 1, 2, 3, 0, 0, 3, 3, 2, + 2, 1, 2, 3, 3, 0, 2, 2, 1, 1, 2, 2, 0, 2, 2, 1, 2, 3, 2, 2, + 3, 3, 2, 2, 1, 1, 1, 1, 2, 1, 2, 2, 3, 3, 3, 0, 0, 3, 2, 3, + 2, 3, 1, 2, 1, 1, 2, 2, 0, 1, 0, 3, 2, 1, 1, 1, 2, 0, 1, 2, + 2, 0, 2, 1, 3, 3, 2, 3, 2, 0, 3, 1, 3, 3, 2, 0, 1, 0, 1, 1, + 2, 2, 1, 1, 2, 2, 1, 2, 3, 3, 1, 3, 2, 2, 2, 3, 3, 1, 0, 2, + 1, 0, 0, 0, 1, 1, 2, 0, 3, 2, 3, 3, 0, 2, 3, 1, 0, 0, 2, 1, + 2, 0, 2, 1, 1, 2, 3, 1, 3, 2, 1, 0, 0, 0, 0, 0, 2, 2, 0, 2, + 1, 2, 0, 3, 2, 2, 0, 0, 3, 2, 1, 1, 3, 0, 2, 0, 0, 1, 0, 2, + 3, 3, 1, 3, 3, 0, 0, 2, 2, 0, 0, 0, 1, 0, 0, 1, 3, 0, 2, 1, + 3, 2, 2, 1, 3, 2, 0, 1, 2, 2, 3, 2, 1, 1, 1, 1, 3, 0, 1, 3, + 2, 2, 3, 1, 1, 2, 0, 2, 1, 1, 2, 3, 1, 0, 1, 0, 1, 1, 0, 0, + 2, 0, 3, 0, 3, 0, 3, 2, 2, 3, 3, 2, 1, 0, 2, 2, 1, 1, 0, 3, + 3, 2, 2, 0, 0, 3, 0, 1, 0, 0, 1, 2, 0, 1, 3, 0, 1, 2, 2, 0, + 0, 3, 0, 3, 0, 1, 1, 2, 0, 0, 0, 3, 0, 0, 2, 1, 1, 1, 0, 2, + 1, 3, 1, 2, 0, 3, 0, 3, 1, 3, 0, 0, 2, 2, 2, 2, 3, 3, 2, 1, + 2, 2, 1, 1, 2, 2, 2, 2, 0, 3, 0, 0, 2, 0, 1, 2, 0, 3, 2, 3, + 2, 0, 2, 1, 2, 1, 0, 2, 1, 1, 3, 2, 2, 3, 1, 0, 3, 3, 1, 0, + 3, 2, 2, 0, 0, 3, 0, 0, 2, 0, 3, 2, 3, 1, 1, 0, 0, 2, 3, 0, + 0, 1, 1, 1, 2, 1, 3, 2, 1, 3, 0, 1, 3, 3, 1, 1, 1, 1, 1, 1, + 0, 0, 2, 3, 2, 2, 2, 3, 2, 3, 1, 2, 3, 2, 2, 2, 0, 1, 3, 0, + 1, 1, 0, 1, 0, 1, 1, 3, 3, 1, 2, 2, 3, 2, 0, 2, 2, 0, 1, 3, + 0, 1, 3, 2, 1, 3, 3, 2, 0, 1, 3, 2, 0, 2, 1, 1, 0, 3, 0, 1, + 1, 1, 1, 1, 3, 0, 0, 1, 0, 2, 3, 1, 3, 0, 2, 1, 3, 0, 3, 0, + 3, 2, 2, 0, 0, 2, 1, 3, 3, 2, 3, 2, 2, 1, 2, 2, 3, 0, 3, 2, + 2, 0, 3, 2, 3, 2, 0, 0, 1, 2, 0, 0, 2, 0, 0, 3, 3, 2, 0, 0, + 3, 3, 0, 2, 3, 1, 0, 1, 0, 2, 1, 0, 2, 1, 0, 1, 0, 3, 0, 2, + 2, 3, 0, 0, 2, 1, 0, 1, 0, 0, 0, 2, 2, 3, 2, 0, 3, 3, 2, 1, + 0, 0, 3, 1, 2, 3, 3, 1, 0, 3, 1, 1, 0, 3, 3, 3, 2, 2, 2, 0, + 1, 2, 0, 3, 0, 1, 0, 1, 1, 0, 1, 2, 0, 3, 2, 0, 1, 2, 2, 0, + 2, 0, 0, 1, 0, 3, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 1, 1, 1, 0, + 2, 1, 1, 3, 2, 0, 2, 1, 1, 0, 2, 2, 1, 3, 0, 2, 1, 0, 1, 2, + 0, 1, 3, 2, 3, 2, 1, 0, 2, 0, 2, 2, 3, 1, 1, 3, 2, 3, 2, 2, + 0, 2, 0, 0, 0, 3, 2, 0, 2, 2, 3, 3, 3, 2, 1, 2, 0, 0, 3, 0, + 2, 0, 3, 2, 2, 3, 0, 3, 2, 1, 2, 2, 1, 2, 0, 0, 3, 1, 2, 0, + 2, 3, 2, 2, 1, 1, 1, 3, 3, 3, 3, 3, 1, 3, 0, 1, 3, 2, 2, 1, + 0, 1, 1, 2, 1, 2, 3, 1, 2, 2, 1, 2, 1, 1, 0, 3, 3, 1, 1, 3, + 2, 0, 0, 1, 2, 0, 1, 3, 1, 0, 0, 2, 2, 3, 3, 0, 2, 3, 2, 1, + 1, 3, 0, 2, 2, 3, 3, 1, 2, 3, 3, 3, 1, 3, 0, 3, 1, 1, 2, 2, + 2, 1, 0, 3, 2, 3, 0, 2, 3, 2, 3, 1, 2, 3, 3, 1, 2, 1, 0, 0, + 0, 3, 3, 3, 3, 0, 3, 3, 3, 3, 2, 1, 0, 3, 0, 3, 2, 3, 1, 0, + 0, 1, 3, 1, 0, 2, 2, 3, 1, 0, 2, 1, 1, 3, 1, 1, 3, 1, 2, 1, + 0, 0, 3, 2, 1, 1, 1, 1, 3, 2, 1, 3, 3, 1, 0, 3, 1, 1, 2, 0, + 0, 0, 2, 3, 3, 2, 2, 3, 0, 2, 3, 1, 3, 3, 0, 2, 1, 2, 2, 2, + 1, 0, 1, 3, 2, 3, 1, 1, 2, 1, 1, 0, 0, 2, 3, 2, 1, 0, 3, 1, + 3, 0, 1, 1, 2, 2, 1, 3, 3, 1, 1, 0, 0, 3, 3, 0, 0, 0, 0, 0, + 3, 1, 3, 0, 0, 0, 3, 3, 2, 1, 3, 0, 1, 3, 1, 1, 1, 0, 1, 0, + 1, 2, 2, 2, 3, 3, 0, 2, 3, 2, 1, 3, 3, 1, 1, 3, 0, 3, 3, 2, + 1, 1, 2, 0, 3, 0, 1, 2, 1, 1, 0, 0, 1, 2, 2, 0, 3, 1, 1, 1, + 3, 3, 3, 1, 0, 3, 3, 2, 2, 2, 1, 2, 0, 1, 1, 3, 0, 3, 1, 0, + 2, 2, 0, 1, 2, 3, 2, 1, 2, 0, 3, 2, 1, 3, 0, 1, 2, 0, 3, 0, + 1, 1, 2, 1 +}; + +static data_t verify_data[ARRAY_SIZE] = +{ + 72, 75, 88, 101, 80, 88, 73, 75, 80, 81, 58, 75, 86, 65, 60, 80, 84, 83, 87, 83, + 108, 93, 85, 76, 72, 98, 79, 86, 80, 96, 91, 85, 72, 64, 70, 83, 68, 92, 51, 54, + 85, 85, 60, 58, 90, 64, 55, 69, 72, 48, 94, 77, 91, 83, 70, 69, 67, 77, 59, 50, + 67, 74, 77, 67, 67, 62, 72, 71, 68, 79, 54, 61, 67, 61, 55, 62, 78, 60, 53, 64, + 67, 69, 99, 68, 88, 60, 66, 63, 70, 62, 65, 50, 53, 66, 70, 72, 75, 78, 85, 95, + 71, 89, 70, 68, 86, 88, 58, 77, 84, 70, 65, 68, 73, 75, 91, 96, 105, 92, 76, 68, + 86, 69, 80, 59, 73, 83, 88, 75, 64, 63, 71, 99, 77, 77, 69, 55, 80, 73, 54, 73, + 87, 78, 60, 69, 65, 78, 86, 89, 95, 92, 63, 69, 89, 61, 80, 65, 70, 77, 89, 77, + 79, 79, 73, 92, 64, 81, 60, 78, 81, 80, 61, 63, 89, 65, 56, 83, 77, 65, 102, 70, + 98, 86, 96, 68, 72, 89, 73, 73, 70, 89, 84, 76, 48, 61, 63, 70, 70, 79, 50, 53, + 64, 63, 43, 51, 59, 62, 43, 63, 55, 77, 79, 74, 75, 74, 64, 44, 65, 69, 72, 66, + 54, 71, 74, 72, 69, 76, 68, 89, 94, 75, 65, 53, 85, 79, 65, 74, 82, 73, 58, 70, + 84, 77, 99, 72, 92, 84, 78, 62, 59, 83, 71, 74, 63, 85, 80, 78, 71, 72, 79, 83, + 73, 82, 60, 85, 76, 82, 60, 70, 82, 68, 54, 85, 84, 70, 86, 74, 100, 88, 98, 68, + 67, 87, 69, 73, 68, 88, 76, 71, 47, 43, 47, 80, 54, 65, 40, 37, 59, 53, 33, 48, + 62, 40, 36, 55, 36, 62, 53, 57, 70, 69, 45, 43, 53, 61, 42, 57, 56, 63, 51, 47, + 59, 75, 64, 89, 83, 75, 59, 75, 91, 92, 58, 64, 83, 74, 58, 60, 76, 66, 97, 69, + 90, 95, 92, 64, 78, 75, 77, 73, 65, 78, 82, 75, 47, 54, 59, 71, 59, 56, 53, 42, + 60, 55, 40, 51, 60, 46, 36, 59, 46, 57, 67, 43, 51, 53, 53, 38, 54, 56, 55, 48, + 41, 46, 63, 63, 80, 77, 89, 102, 89, 98, 74, 86, 98, 93, 63, 76, 98, 77, 48, 101, + 86, 88, 100, 82, 102, 90, 95, 75, 86, 103, 83, 98, 80, 104, 98, 86, 71, 74, 80, 90, + 86, 87, 73, 70, 81, 83, 55, 66, 90, 66, 58, 84, 77, 84, 93, 72, 99, 75, 85, 65, + 70, 89, 71, 82, 64, 79, 82, 80, 67, 73, 86, 101, 78, 97, 66, 64, 84, 80, 55, 64, + 79, 73, 51, 79, 89, 68, 94, 77, 109, 102, 82, 61, 66, 93, 88, 70, 82, 82, 85, 69, + 69, 72, 66, 97, 85, 90, 70, 59, 76, 89, 53, 56, 90, 79, 71, 64, 70, 67, 100, 92, + 106, 89, 83, 78, 73, 80, 70, 72, 65, 70, 92, 88, 57, 76, 55, 85, 66, 80, 61, 63, + 63, 78, 54, 58, 71, 73, 54, 63, 63, 62, 89, 76, 86, 81, 83, 54, 70, 81, 78, 64, + 56, 72, 74, 81, 75, 63, 68, 89, 65, 77, 58, 68, 75, 83, 52, 62, 82, 63, 55, 75, + 51, 70, 95, 66, 83, 77, 86, 61, 64, 77, 48, 70, 66, 82, 72, 75, 79, 71, 72, 89, + 78, 78, 66, 59, 91, 80, 55, 64, 79, 68, 54, 71, 67, 75, 87, 84, 100, 101, 76, 58, + 74, 82, 61, 74, 75, 97, 85, 79, 61, 55, 69, 68, 72, 65, 52, 64, 80, 73, 48, 54, + 71, 66, 42, 61, 66, 63, 92, 64, 85, 77, 73, 54, 74, 73, 76, 66, 62, 79, 85, 70, + 71, 84, 87, 81, 88, 86, 77, 77, 93, 88, 78, 71, 101, 89, 58, 84, 95, 81, 89, 97, + 104, 79, 83, 76, 90, 81, 91, 74, 70, 76, 91, 80, 51, 48, 56, 69, 47, 63, 54, 42, + 63, 63, 42, 52, 66, 56, 39, 59, 61, 52, 59, 63, 62, 68, 57, 35, 67, 58, 56, 52, + 61, 63, 60, 47, 85, 75, 89, 106, 88, 95, 74, 82, 107, 107, 64, 78, 98, 90, 62, 91, + 79, 87, 111, 84, 104, 106, 96, 68, 94, 99, 81, 89, 79, 105, 95, 86, 65, 63, 77, 89, + 66, 88, 56, 73, 82, 92, 41, 62, 85, 66, 50, 81, 57, 71, 77, 78, 86, 89, 77, 53, + 67, 78, 61, 63, 72, 82, 69, 66, 59, 46, 55, 70, 56, 64, 45, 50, 65, 64, 42, 56, + 78, 49, 51, 52, 38, 56, 72, 55, 73, 72, 61, 50, 63, 60, 47, 57, 55, 73, 53, 68, + 85, 88, 91, 96, 82, 89, 73, 76, 87, 86, 67, 69, 96, 84, 57, 89, 87, 89, 99, 88, + 104, 90, 85, 75, 88, 92, 85, 75, 74, 87, 103, 94, 55, 48, 56, 65, 72, 50, 45, 51, + 63, 62, 47, 57, 79, 53, 36, 63, 54, 68, 71, 59, 63, 61, 63, 41, 50, 73, 57, 59, + 56, 76, 73, 65, 61, 64, 61, 79, 53, 73, 57, 44, 61, 59, 59, 56, 81, 59, 49, 62, + 65, 55, 69, 72, 79, 70, 58, 57, 68, 61, 62, 50, 57, 60, 66, 66, 63, 77, 81, 89, + 85, 81, 76, 73, 78, 95, 59, 70, 81, 77, 46, 79, 78, 79, 83, 81, 84, 82, 85, 48, + 74, 85, 85, 74, 74, 80, 80, 74, 60, 76, 80, 97, 88, 93, 66, 66, 73, 84, 56, 70, + 90, 63, 58, 78, 73, 93, 90, 78, 94, 88, 82, 67, 85, 70, 81, 86, 74, 82, 88, 82, + 68, 73, 75, 91, 78, 97, 71, 66, 74, 85, 50, 59, 86, 77, 70, 74, 75, 74, 99, 82, + 99, 91, 86, 65, 80, 77, 72, 69, 60, 78, 90, 87, 79, 69, 74, 98, 70, 86, 81, 67, + 69, 78, 48, 65, 88, 70, 70, 70, 69, 72, 96, 90, 99, 82, 81, 76, 98, 73, 74, 71, + 69, 73, 94, 89 +}; + diff --git a/mt/mt-matmul/matmul_gendata.pl b/mt/mt-matmul/matmul_gendata.pl new file mode 100755 index 0000000..f21bb46 --- /dev/null +++ b/mt/mt-matmul/matmul_gendata.pl @@ -0,0 +1,200 @@ +#!/usr/bin/perl -w +#========================================================================== +# matmul_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the matmul benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: matmul_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[ARRAY_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3d",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3d",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + + + +#-------------------------------------------------------------------------- +# Matmul +#-------------------------------------------------------------------------- + +# http://answers.oreilly.com/topic/418-how-to-multiply-matrices-in-perl/ + +sub mmult { + my ($m1,$m2) = @_; + my ($m1rows,$m1cols) = matdim($m1); + my ($m2rows,$m2cols) = matdim($m2); + + my $result = [ ]; + my ($i, $j, $k); + + for $i (range($m1rows)) { + for $j (range($m2cols)) { + for $k (range($m1cols)) { + $result->[$i][$j] += $m1->[$i][$k] * $m2->[$k][$j]; + } + } + } + return $result; +} + +sub range { 0 .. ($_[0] - 1) } + + +sub veclen { + my $ary_ref = $_[0]; + my $type = ref $ary_ref; + if ($type ne "ARRAY") { die "$type is bad array ref for $ary_ref" } + return scalar(@$ary_ref); +} + +sub matdim { + my $matrix = $_[0]; + my $rows = veclen($matrix); + my $cols = veclen($matrix->[0]); + return ($rows, $cols); +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + # create random input arrays + my $mat_values1; + my $mat_values2; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + $mat_values1->[$i][$j] = int(rand(4)); + $mat_values2->[$i][$j] = int(rand(4)); + } + } + + # perform matmul + my $mat_results = mmult( $mat_values1, $mat_values2 ); + + # translate 2d arrays to 1d-somethings (I don't know how to code in perl - Chris) + my @values1; + my @values2; + my @results; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + for ( my $j = 0; $j < $opts{"size"}; $j++ ) { + my $value1 = $mat_values1->[$i][$j]; + my $value2 = $mat_values2->[$i][$j]; + my $result = $mat_results->[$i][$j]; + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @results, $result ); + } + } + + print "\n\#define ARRAY_SIZE ".($opts{"size"}*$opts{"size"})." \n\n"; + print "\n\#define DIM_SIZE ".$opts{"size"}." \n\n"; + + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@results); + +} + +main(); + diff --git a/mt/mt-matmul/mt-matmul.c b/mt/mt-matmul/mt-matmul.c new file mode 100644 index 0000000..93f8ea9 --- /dev/null +++ b/mt/mt-matmul/mt-matmul.c @@ -0,0 +1,167 @@ +//************************************************************************** +// Multi-threaded Matrix Multiply benchmark +//-------------------------------------------------------------------------- +// TA : Christopher Celio +// Student: +// +// +// This benchmark multiplies two 2-D arrays together and writes the results to +// a third vector. The input data (and reference data) should be generated +// using the matmul_gendata.pl perl script and dumped to a file named +// dataset.h. + + +// print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %3ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n", + i, (long)test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// matmul function + +// single-thread, naive version +void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + int i, j, k; + + if (coreid > 0) + return; + + for ( i = 0; i < lda; i++ ) + for ( j = 0; j < lda; j++ ) + { + for ( k = 0; k < lda; k++ ) + { + C[i + j*lda] += A[j*lda + k] * B[k*lda + i]; + } + } + +} + + + +void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] ) +{ + + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // + // + // feel free to make a separate function for MI and MSI versions. + +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[ARRAY_SIZE]; + + + // Execute the provided, naive matmul + barrier(); + stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + + // clear results from the first trial + size_t i; + if (coreid == 0) + for (i=0; i < ARRAY_SIZE; i++) + results_data[i] = 0; + barrier(); + + + // Execute your faster matmul + barrier(); + stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier()); + +#ifdef DEBUG + printArray("results:", ARRAY_SIZE, results_data); + printArray("verify :", ARRAY_SIZE, verify_data); +#endif + + // verify + verify(ARRAY_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/mt-vvadd/bmark.mk b/mt/mt-vvadd/bmark.mk new file mode 100644 index 0000000..0ab2504 --- /dev/null +++ b/mt/mt-vvadd/bmark.mk @@ -0,0 +1,29 @@ +#======================================================================= +# UCB CS250 Makefile fragment for benchmarks +#----------------------------------------------------------------------- +# +# Each benchmark directory should have its own fragment which +# essentially lists what the source files are and how to link them +# into an riscv and/or host executable. All variables should include +# the benchmark name as a prefix so that they are unique. +# + +mt_vvadd_c_src = \ + mt-vvadd.c \ + +mt_vvadd_riscv_src = \ + crt-mt.S \ + +mt_vvadd_c_objs = $(patsubst %.c, %.o, $(mt_vvadd_c_src)) +mt_vvadd_riscv_objs = $(patsubst %.S, %.o, $(mt_vvadd_riscv_src)) + +mt_vvadd_host_bin = mt-vvadd.host +$(mt_vvadd_host_bin) : $(mt_vvadd_c_src) + $(HOST_COMP) $^ -o $(mt_vvadd_host_bin) + +mt_vvadd_riscv_bin = mt-vvadd.riscv +$(mt_vvadd_riscv_bin) : $(mt_vvadd_c_objs) $(mt_vvadd_riscv_objs) + $(RISCV_LINK_MT) $(RISCV_LINK_SYSCALL) $(mt_vvadd_c_objs) $(mt_vvadd_riscv_objs) -o $(mt_vvadd_riscv_bin) + +junk += $(mt_vvadd_c_objs) $(mt_vvadd_riscv_objs) \ + $(mt_vvadd_host_bin) $(mt_vvadd_riscv_bin) diff --git a/mt/mt-vvadd/dataset.h b/mt/mt-vvadd/dataset.h new file mode 100644 index 0000000..ce9f936 --- /dev/null +++ b/mt/mt-vvadd/dataset.h @@ -0,0 +1,165 @@ + +#define DATA_SIZE 1000 + +static data_t input1_data[DATA_SIZE] = +{ + 0.00, 15.00, 10.00, 3.00, 14.00, 6.00, 2.00, 18.00, 11.00, 15.00, 11.00, 0.00, 17.00, 16.00, 7.00, 13.00, 18.00, 2.00, 2.00, 5.00, + 8.00, 5.00, 12.00, 14.00, 6.00, 12.00, 16.00, 7.00, 9.00, 17.00, 10.00, 10.00, 3.00, 5.00, 14.00, 11.00, 9.00, 12.00, 3.00, 1.00, + 5.00, 4.00, 6.00, 17.00, 17.00, 4.00, 17.00, 15.00, 17.00, 18.00, 3.00, 18.00, 10.00, 6.00, 12.00, 12.00, 3.00, 2.00, 16.00, 1.00, + 5.00, 6.00, 2.00, 17.00, 16.00, 5.00, 10.00, 18.00, 14.00, 4.00, 9.00, 9.00, 7.00, 4.00, 8.00, 13.00, 12.00, 6.00, 4.00, 17.00, + 5.00, 2.00, 11.00, 11.00, 7.00, 6.00, 8.00, 5.00, 6.00, 6.00, 11.00, 1.00, 18.00, 7.00, 6.00, 9.00, 10.00, 17.00, 14.00, 4.00, + 14.00, 11.00, 2.00, 0.00, 2.00, 17.00, 17.00, 15.00, 10.00, 8.00, 12.00, 18.00, 5.00, 0.00, 0.00, 1.00, 1.00, 8.00, 11.00, 11.00, + 7.00, 5.00, 15.00, 18.00, 15.00, 6.00, 8.00, 9.00, 18.00, 6.00, 15.00, 16.00, 10.00, 18.00, 13.00, 6.00, 10.00, 16.00, 0.00, 10.00, + 12.00, 8.00, 8.00, 3.00, 0.00, 1.00, 4.00, 0.00, 8.00, 15.00, 16.00, 9.00, 7.00, 7.00, 10.00, 9.00, 16.00, 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20.00, 19.00, 14.00, 22.00, 23.00, 13.00, 22.00, 14.00, 7.00, 20.00, 10.00, 25.00, 9.00, + 7.00, 2.00, 31.00, 16.00, 16.00, 22.00, 5.00, 15.00, 26.00, 23.00, 10.00, 18.00, 32.00, 24.00, 15.00, 30.00, 16.00, 13.00, 15.00, 7.00, + 11.00, 6.00, 21.00, 14.00, 25.00, 21.00, 11.00, 16.00, 14.00, 26.00, 25.00, 15.00, 22.00, 24.00, 4.00, 19.00, 14.00, 26.00, 22.00, 17.00, + 13.00, 14.00, 7.00, 32.00, 20.00, 33.00, 13.00, 7.00, 29.00, 8.00, 26.00, 6.00, 9.00, 13.00, 22.00, 23.00, 8.00, 22.00, 22.00, 10.00, + 24.00, 2.00, 17.00, 9.00, 22.00, 30.00, 24.00, 33.00, 25.00, 17.00, 23.00, 9.00, 13.00, 15.00, 23.00, 10.00, 1.00, 22.00, 17.00, 10.00, + 32.00, 24.00, 26.00, 4.00, 15.00, 0.00, 27.00, 23.00, 28.00, 23.00, 30.00, 7.00, 16.00, 33.00, 20.00, 14.00, 23.00, 14.00, 20.00, 14.00, + 7.00, 25.00, 24.00, 12.00, 29.00, 16.00, 17.00, 20.00, 29.00, 16.00, 13.00, 18.00, 26.00, 18.00, 18.00, 17.00, 13.00, 29.00, 14.00, 17.00, + 24.00, 16.00, 21.00, 14.00, 26.00, 9.00, 11.00, 28.00, 25.00, 15.00, 15.00, 12.00, 6.00, 14.00, 27.00, 14.00, 24.00, 18.00, 18.00, 14.00, + 32.00, 21.00, 26.00, 13.00, 6.00, 24.00, 22.00, 27.00, 17.00, 26.00, 19.00, 21.00, 19.00, 9.00, 21.00, 25.00, 17.00, 27.00, 15.00, 18.00 +}; + diff --git a/mt/mt-vvadd/mt-vvadd.c b/mt/mt-vvadd/mt-vvadd.c new file mode 100644 index 0000000..497b9bb --- /dev/null +++ b/mt/mt-vvadd/mt-vvadd.c @@ -0,0 +1,165 @@ +//************************************************************************** +// Vector-vector add benchmark +//-------------------------------------------------------------------------- +// Author : Andrew Waterman +// TA : Christopher Celio +// Student : +// +// This benchmark adds two vectors and writes the results to a +// third vector. The input data (and reference data) should be +// generated using the vvadd_gendata.pl perl script and dumped +// to a file named dataset.h + +// to print out arrays, etc. +//#define DEBUG + +//-------------------------------------------------------------------------- +// Includes + +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + + +//-------------------------------------------------------------------------- +// Input/Reference Data + +typedef float data_t; +#include "dataset.h" + + +//-------------------------------------------------------------------------- +// Basic Utilities and Multi-thread Support + +__thread unsigned long coreid; +unsigned long ncores; + +#include "util.h" + +#define stringify_1(s) #s +#define stringify(s) stringify_1(s) +#define stats(code) do { \ + unsigned long _c = -rdcycle(), _i = -rdinstret(); \ + code; \ + _c += rdcycle(), _i += rdinstret(); \ + if (coreid == 0) \ + printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \ + stringify(code), _c, _c/DATA_SIZE, 10*_c/DATA_SIZE%10, _c/_i, 10*_c/_i%10); \ + } while(0) + + +//-------------------------------------------------------------------------- +// Helper functions + +void printArray( char name[], int n, data_t arr[] ) +{ + int i; + if (coreid != 0) + return; + + printf( " %10s :", name ); + for ( i = 0; i < n; i++ ) + printf( " %4ld ", (long) arr[i] ); + printf( "\n" ); +} + +void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct) +{ + if (coreid != 0) + return; + + size_t i; + for (i = 0; i < n; i++) + { + if (test[i] != correct[i]) + { + printf("FAILED test[%d]= %4ld, correct[%d]= %4ld\n", + i, (long) test[i], i, (long)correct[i]); + exit(-1); + } + } + + return; +} + +//-------------------------------------------------------------------------- +// vvadd function + +//perform in-place vvadd +void __attribute__((noinline)) vvadd(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + size_t i; + + // interleave accesses + for (i = coreid; i < n; i+=ncores) + { + x[i] = x[i] + y[i]; + } +} + +void __attribute__((noinline)) vvadd_opt(size_t n, data_t* __restrict__ x, const data_t* __restrict__ y) +{ + // ***************************** // + // **** ADD YOUR CODE HERE ***** // + // ***************************** // +} + +//-------------------------------------------------------------------------- +// Main +// +// all threads start executing thread_entry(). Use their "coreid" to +// differentiate between threads (each thread is running on a separate core). + +void thread_entry(int cid, int nc) +{ + coreid = cid; + ncores = nc; + + // static allocates data in the binary, which is visible to both threads + static data_t results_data[DATA_SIZE]; + + // because we're going to perform an in-place vvadd (and we're going to run + // it a couple of times) let's copy the input data to a temporary results + // array + + size_t i; + if (coreid == 0) + { + for (i = 0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + + + // Execute the provided, terrible vvadd + barrier(); + stats(vvadd(DATA_SIZE, results_data, input2_data); barrier()); + + + // verify + verify(DATA_SIZE, results_data, verify_data); + + // reset results from the first trial + if (coreid == 0) + { + for (i=0; i < DATA_SIZE; i++) + results_data[i] = input1_data[i]; + } + barrier(); + + + // Execute your faster vvadd + barrier(); + stats(vvadd_opt(DATA_SIZE, results_data, input2_data); barrier()); + +#ifdef DEBUG + printArray("results: ", DATA_SIZE, results_data); + printArray("verify : ", DATA_SIZE, verify_data); +#endif + + // verify + verify(DATA_SIZE, results_data, verify_data); + barrier(); + + exit(0); +} + diff --git a/mt/mt-vvadd/vvadd_gendata.pl b/mt/mt-vvadd/vvadd_gendata.pl new file mode 100755 index 0000000..a9fceac --- /dev/null +++ b/mt/mt-vvadd/vvadd_gendata.pl @@ -0,0 +1,139 @@ +#!/usr/bin/perl -w +#========================================================================== +# vvadd_gendata.pl +# +# Author : Christopher Batten (cbatten@mit.edu) +# Date : April 29, 2005 +# +(our $usageMsg = <<'ENDMSG') =~ s/^\#//gm; +# +# Simple script which creates an input data set and the reference data +# for the vvadd benchmark. +# +ENDMSG + +use strict "vars"; +use warnings; +no warnings("once"); +use Getopt::Long; + +#-------------------------------------------------------------------------- +# Command line processing +#-------------------------------------------------------------------------- + +our %opts; + +sub usage() +{ + + print "\n"; + print " Usage: vvadd_gendata.pl [options] \n"; + print "\n"; + print " Options:\n"; + print " --help print this message\n"; + print " --size size of input data [1000]\n"; + print " --seed random seed [1]\n"; + print "$usageMsg"; + + exit(); +} + +sub processCommandLine() +{ + + $opts{"help"} = 0; + $opts{"size"} = 1000; + $opts{"seed"} = 1; + Getopt::Long::GetOptions( \%opts, 'help|?', 'size:i', 'seed:i' ) or usage(); + $opts{"help"} and usage(); + +} + +#-------------------------------------------------------------------------- +# Helper Functions +#-------------------------------------------------------------------------- + +sub printArray +{ + my $arrayName = $_[0]; + my $arrayRef = $_[1]; + + my $numCols = 20; + my $arrayLen = scalar(@{$arrayRef}); + + print "static data_t ".$arrayName."[DATA_SIZE] = \n"; + print "{\n"; + + if ( $arrayLen <= $numCols ) { + print " "; + for ( my $i = 0; $i < $arrayLen; $i++ ) { + print sprintf("%3.2f",$arrayRef->[$i]); + if ( $i != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + else { + my $numRows = int($arrayLen/$numCols); + for ( my $j = 0; $j < $numRows; $j++ ) { + print " "; + for ( my $i = 0; $i < $numCols; $i++ ) { + my $index = $j*$numCols + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + if ( $arrayLen > ($numRows*$numCols) ) { + print " "; + for ( my $i = 0; $i < ($arrayLen-($numRows*$numCols)); $i++ ) { + my $index = $numCols*$numRows + $i; + print sprintf("%3.2f",$arrayRef->[$index]); + if ( $index != $arrayLen-1 ) { + print ", "; + } + } + print "\n"; + } + + } + + print "};\n\n"; +} + +#-------------------------------------------------------------------------- +# Main +#-------------------------------------------------------------------------- + +sub main() +{ + + processCommandLine(); + srand($opts{"seed"}); + + my @values1; + my @values2; + my @sum; + for ( my $i = 0; $i < $opts{"size"}; $i++ ) { + my $value1 = int(rand(19)); + my $value2 = int(rand(19)); + push( @values1, $value1 ); + push( @values2, $value2 ); + push( @sum, $value1 + $value2 ); + } + + + print "\n\#define DATA_SIZE ".$opts{"size"}." \n\n"; + printArray( "input1_data", \@values1 ); + printArray( "input2_data", \@values2 ); + printArray( "verify_data", \@sum ); + +} + +main(); + |