// single: clang -O2 -march=native gemm.c // multi: clang -O2 -march=native gemm.c -DNTHREADS=32 -lpthread #define _GNU_SOURCE // https://en.wikichip.org/wiki/amd/microarchitectures/zen_2 #include #include #include #include #include #include #include #include #include #include #include //#define DEBUG #ifdef DEBUG #define N 8 #endif #ifndef N // NOTE: if you change this you have to rerun gemm.py #define N 512 #endif #ifndef NTHREADS #define NTHREADS 1 #endif // aligned? float A[N*N] __attribute__ ((aligned (64))); float B[N*N] __attribute__ ((aligned (64))); float C[N*N] __attribute__ ((aligned (64))); float val[N*N] __attribute__ ((aligned (64))); __m256 *Am = (__m256*)A; __m256 *Bm = (__m256*)B; __m256 *Cm = (__m256*)C; uint64_t nanos() { struct timespec start; clock_gettime(CLOCK_MONOTONIC_RAW, &start); return (uint64_t)start.tv_sec*1000000000 + (uint64_t)start.tv_nsec; } float Bf[N*N] __attribute__ ((aligned (64))); __m256 *Bfm = (__m256*)Bf; #define BLOCK 8 #define BLOCK_Y 4 #define BLOCK_X 2 void matmul(int sy, int ey) { // 136.77 GFLOPS on single core numpy // 4.9 GHz is max boost for 5950X // 32 FLOPS/cycle (16 FMAs, aka 2x 8 single wide / 32 byte FMAs) // theoretical max is 156.8 GFLOPS, we see 150 // multicore theo max = 2508.8 GFLOPS, we see 1501.434299 // Bf = (y/8, k, 8) for (int y = sy; y < ey; y+=BLOCK_Y) { for (int x = 0; x < N; x+=BLOCK*BLOCK_X) { __m256 acc[BLOCK_Y][BLOCK_X] = {}; for (int k = 0; k < N; k++) { for (int iy = 0; iy < BLOCK_Y; iy++) { __m256 ta = _mm256_broadcast_ss(&A[(y+iy)*N + k]); for (int ix = 0; ix < BLOCK_X; ix++) { acc[iy][ix] = _mm256_fmadd_ps(ta, Bfm[((x+ix*BLOCK)*N + k*8)/8], acc[iy][ix]); } } } for (int iy = 0; iy < BLOCK_Y; iy++) { for (int ix = 0; ix < BLOCK_X; ix++) { Cm[((y+iy)*N + x + ix * BLOCK)/8] = acc[iy][ix]; } } } } } pthread_mutex_t lock = PTHREAD_MUTEX_INITIALIZER; atomic_int nready = 0; atomic_int ndone = 0; void *matmul_thread(void *n) { int k = (int)(int64_t)n; int sy = (N/NTHREADS) * k; int ey = (N/NTHREADS) * (k+1); cpu_set_t set; CPU_ZERO(&set); CPU_SET(k,&set); pthread_setaffinity_np(pthread_self(), sizeof(cpu_set_t), &set); nready++; // gotta have main lock once to signal start pthread_mutex_lock(&lock); pthread_mutex_unlock(&lock); matmul(sy, ey); // we done ndone++; return NULL; } int main() { printf("hello with %d threads\n", NTHREADS); #ifdef DEBUG for (int i = 0; i < N*N; i++) A[i] = i; for (int i = 0; i < N*N; i++) B[i] = i; #else FILE *f = fopen("/tmp/matmul", "rb"); if (f == NULL) { printf("please pregenerate python /tmp/matmul file\n"); return -1; } fread(A, 1, sizeof(float)*N*N, f); fread(B, 1, sizeof(float)*N*N, f); fread(val, 1, sizeof(float)*N*N, f); fclose(f); #endif // preswizzle for (int y = 0; y < N; y+=8) { for (int x = 0; x < N; x++) { for (int iy = 0; iy < 8; iy++) { Bf[y*N + x*8 + iy] = B[(y+iy)*N + x]; } } } for (int i = 0; i < 10; i++) { memset(C, 0, N*N*sizeof(float)); #if NTHREADS != 1 nready = 0; ndone = 0; pthread_mutex_lock(&lock); pthread_t threads[NTHREADS]; for (int j = 0; j < NTHREADS; j++) { pthread_create(&threads[j], NULL, matmul_thread, (void *)(uint64_t)j); } while (nready != NTHREADS) usleep(1); #endif uint64_t start = nanos(); #if NTHREADS == 1 matmul(0, N); #else // unlocking mutex starts threads pthread_mutex_unlock(&lock); while (ndone != NTHREADS) usleep(1); #endif uint64_t end = nanos(); #if NTHREADS != 1 for (int j = 0; j < NTHREADS; j++) { pthread_join(threads[j], NULL); } #endif double gflop = (2.0*N*N*N)*1e-9; double s = (end-start)*1e-9; printf("%f GFLOP/S -- %.2f ms\n", gflop/s, s*1e3); // hack around throttling //if (i%4 == 0) sleep(1); } #ifdef DEBUG for (int i = 0; i < N*N; i++) { if (i%N == 0 && i != 0) printf("\n"); printf("%f ", C[i]); } printf("\n"); #else for (int k = 0; k < N*N; k++) { if (fabsf(C[k] - val[k]) > 1e-3) { printf("MISMATCH AT %d, %f != %f\n", k, C[k], val[k]); return -1; } } printf("match\n"); #endif return 0; }