diff options
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 /mt/bn_matmul/bn_matmul.c | |
parent | 4412b96c81ca09dcce6305579dd86d4bf3b808da (diff) | |
download | riscv-tests-60f056880ec6929c5f23af4d66aea0f0cb7b0245.zip riscv-tests-60f056880ec6929c5f23af4d66aea0f0cb7b0245.tar.gz riscv-tests-60f056880ec6929c5f23af4d66aea0f0cb7b0245.tar.bz2 |
multithreading tests from 152 lab 5
Diffstat (limited to 'mt/bn_matmul/bn_matmul.c')
-rwxr-xr-x | mt/bn_matmul/bn_matmul.c | 326 |
1 files changed, 326 insertions, 0 deletions
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); +} + |