blob: a1f97b2224b7040fe11e3ec5cd3dc4c2aac5884d [file] [log] [blame]
#include "stdlib.h"
#include "util.h"
#include "dataset.h"
void __attribute__((noinline)) matmul(const int coreid, const int ncores, 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
for ( k = 0; k < lda; k++) {
for ( i = coreid*(lda/ncores); i < (coreid+1)*(lda/ncores); i++ ) {
BB[i*lda + k] = B[k*lda + i];
}
barrier(ncores);
}
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;
barrier(ncores);
}
}
}