chundoong-lab-ta/SamsungDS22/submissions/HW2/inseok.bae/mat_mul.cpp

64 lines
1.7 KiB
C++

#include "mat_mul.h"
#include <cstdlib>
#include <cstdio>
#include <pthread.h>
static float *A, *B, *C;
static int M, N, K;
static int num_threads;
static void* mat_mul_thread(void *data) {
// TODO: parallelize & optimize matrix multiplication
//printf("thread #: %d\n", *(int*)data); fflush(stdout);
int pid = *(int*)data;
int slice = M / num_threads;
int start = pid * slice;
int end = pid == num_threads -1 ? M : (pid + 1) * slice;
int ROW_BLOCK = 64;
int COL_BLOCK = 1;
//register float A_reg;
//for (int kk = 0; kk < K; kk += BLOCK){
for (int kk = 0; kk < K; kk += ROW_BLOCK){
//for (int jj = 0; jj < N; jj += BLOCK){
//for (int jj = 0; jj < N; jj += COL_BLOCK){
for (int i = start; i < end; ++i) {
for(int k = kk; k < (kk+ROW_BLOCK < K ? kk+ROW_BLOCK : K); ++k) {
//A_reg = A[i * K + k];
//for (int j = jj; j < (jj+COL_BLOCK < N ? jj+COL_BLOCK : N); ++j) {
for (int j = 0; j < N; ++j) {
C[i * N + j] += A[i * K + k] * B[k * N + j];
//C[i * N + j] += A_reg * B[k * N + j];
//if(i==0 && j==640) {
// printf("val c : %f\n",C[i*N+j]);
// fflush(stdout);
// }
}
}
}
//}
}
return NULL;
}
void mat_mul(float *_A, float *_B, float *_C, int _M, int _N, int _K, int _num_threads) {
A = _A, B = _B, C = _C;
M = _M, N = _N, K = _K;
num_threads = _num_threads;
// TODO: create '_num_threads' pthreads
pthread_t* thread = (pthread_t*)malloc(sizeof(pthread_t) * num_threads);
for(int i=0; i<num_threads; i++) {
int* pid = (int*)malloc(sizeof(int));
*(pid) = i;
pthread_create(&thread[i], NULL, mat_mul_thread, pid);
}
for (int i = 0; i< num_threads; i++) {
pthread_join(thread[i], NULL);
}
}