#include "mat_mul.h" #include #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; float Aik; // int bs = BLOCKSIZE; int bs = 45; for (int klm = 0; klm < K; klm += bs) { for (int i = start; i < end; ++i) { for (int k = klm; k < std::min(klm + bs, K); ++k) { Aik = A[i * K + k]; for (int j = 0 ; 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 * threads; //threads = (pthread_t*)malloc(sizeof(pthread_t) * num_threads); threads = (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, NULL); pthread_create(&threads[i], NULL, mat_mul_thread, pid); } for (int k = 0; k < num_threads; k++) { pthread_join(threads[k], NULL); } }