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#include "stdlib.h"
#include "util.h"
#include "dataset.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)
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, 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(nc); */
/* 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(nc);
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];
}
}
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