#include "mat_mul.h" #include #include #include 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 int pid = * (int *) data; int slice = M / num_threads; int start = pid * slice; int end = (pid == num_threads - 1) ? M : (pid + 1) * slice; int j; int i; int k; int kk, kk_min; int bs = 32; int NM = (N/8)*8; float Aik; for (kk = 0; kk < K; kk += bs) { for (i = start; i < end; ++i) { kk_min = (kk+bs <= K) ? kk+bs : K; for (k = kk; k < kk_min; ++k) { Aik = A[i * K + k]; for (j = 0; j < NM; j+=8) { C[i * N + j ] += Aik * B[k * N + j ]; C[i * N + j+1] += Aik * B[k * N + j+1]; C[i * N + j+2] += Aik * B[k * N + j+2]; C[i * N + j+3] += Aik * B[k * N + j+3]; C[i * N + j+4] += Aik * B[k * N + j+4]; C[i * N + j+5] += Aik * B[k * N + j+5]; C[i * N + j+6] += Aik * B[k * N + j+6]; C[i * N + j+7] += Aik * B[k * N + j+7]; } for (j; j < N; j++) { C[i * N + j ] += Aik * B[k * 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; // 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); } }