blob: 753a36dfcaac147f70f96709a6febca5e4e8f55a [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.
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;
}
}
}
}
}