chundoong-lab-ta/SamsungDS22/submissions/HW2/gyehyung.kim/mat_mul.cpp

66 lines
1.6 KiB
C++

#include "mat_mul.h"
#include <cstdlib>
#include <cstdio>
#include <pthread.h>
#include <algorithm>
static float *A, *B, *C;
static int M, N, K;
static int num_threads;
static int M_div,K_div;
static int M_remain;
static void* mat_mul_thread(void *data) {
// TODO: parallelize & optimize matrix multiplication
int me = *(int *)data;
//int bs = 4096;
int bs = 2048;
//int inum = M_div+M_remain;
if(me==(num_threads-1))
M_remain = M % num_threads;
else
M_remain = 0;
int inum = M_div+M_remain;
for (int kk = 0; kk < K; kk=std::min(kk+K_div,K)) {
for (int i = 0; i < inum; ++i) {
for (int jj = 0; jj < N; jj+=bs) {
for (int k = kk; k < std::min(kk+K_div,K); ++k) {
//for (int k = kk; k < std::min(kk+K_div,K); k=k+2) {
for (int j = jj; j < std::min(jj+bs,N); ++j) {
C[(i + me*M_div) * N + j ] += A[(i+me*M_div) * K + k ] * B[k * N + j];
// C[(i + me*M_div) * N + j ] += A[(i+me*M_div) * K + k+1 ] * B[(k+1) * N + j];
}
}
}
}
}
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;
M_div = M / num_threads;
K_div = 32; //or 64;
M_remain = M % num_threads;
// TODO: create '_num_threads' pthreads
pthread_t *thread;
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);
}