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//**************************************************************************
// 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);
}
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