/* StarPU --- Runtime system for heterogeneous multicore architectures. * * Copyright (C) 2009-2013 Université de Bordeaux 1 * Copyright (C) 2010 Mehdi Juhoor * Copyright (C) 2010, 2011, 2012, 2013 Centre National de la Recherche Scientifique * * StarPU is free software; you can redistribute it and/or modify * it under the terms of the GNU Lesser General Public License as published by * the Free Software Foundation; either version 2.1 of the License, or (at * your option) any later version. * * StarPU is distributed in the hope that it will be useful, but * WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. * * See the GNU Lesser General Public License in COPYING.LGPL for more details. */ #include #include #include #include #include #include #include #ifdef STARPU_USE_CUDA #include #include #endif static unsigned niter = 10; static unsigned nslicesx = 4; static unsigned nslicesy = 4; #ifdef STARPU_QUICK_CHECK static unsigned xdim = 256; static unsigned ydim = 256; static unsigned zdim = 64; #else static unsigned xdim = 1024; static unsigned ydim = 1024; static unsigned zdim = 1024; #endif static unsigned check = 0; static TYPE *A, *B, *C; static starpu_data_handle_t A_handle, B_handle, C_handle; #define FPRINTF(ofile, fmt, ...) do { if (!getenv("STARPU_SSILENT")) {fprintf(ofile, fmt, ## __VA_ARGS__); }} while(0) static void check_output(void) { /* compute C = C - AB */ CPU_GEMM("N", "N", ydim, xdim, zdim, (TYPE)-1.0f, A, ydim, B, zdim, (TYPE)1.0f, C, ydim); /* make sure C = 0 */ TYPE err; err = CPU_ASUM(xdim*ydim, C, 1); if (err < xdim*ydim*0.001) { FPRINTF(stderr, "Results are OK\n"); } else { int max; max = CPU_IAMAX(xdim*ydim, C, 1); FPRINTF(stderr, "There were errors ... err = %f\n", err); FPRINTF(stderr, "Max error : %e\n", C[max]); } } static void init_problem_data(void) { unsigned i,j; #ifndef STARPU_SIMGRID starpu_malloc((void **)&A, zdim*ydim*sizeof(TYPE)); starpu_malloc((void **)&B, xdim*zdim*sizeof(TYPE)); starpu_malloc((void **)&C, xdim*ydim*sizeof(TYPE)); /* fill the A and B matrices */ for (j=0; j < ydim; j++) { for (i=0; i < zdim; i++) { A[j+i*ydim] = (TYPE)(starpu_drand48()); } } for (j=0; j < zdim; j++) { for (i=0; i < xdim; i++) { B[j+i*zdim] = (TYPE)(starpu_drand48()); } } for (j=0; j < ydim; j++) { for (i=0; i < xdim; i++) { C[j+i*ydim] = (TYPE)(0); } } #endif } static void partition_mult_data(void) { starpu_matrix_data_register(&A_handle, STARPU_MAIN_RAM, (uintptr_t)A, ydim, ydim, zdim, sizeof(TYPE)); starpu_matrix_data_register(&B_handle, STARPU_MAIN_RAM, (uintptr_t)B, zdim, zdim, xdim, sizeof(TYPE)); starpu_matrix_data_register(&C_handle, STARPU_MAIN_RAM, (uintptr_t)C, ydim, ydim, xdim, sizeof(TYPE)); struct starpu_data_filter vert; memset(&vert, 0, sizeof(vert)); vert.filter_func = starpu_matrix_filter_vertical_block; vert.nchildren = nslicesx; struct starpu_data_filter horiz; memset(&horiz, 0, sizeof(horiz)); horiz.filter_func = starpu_matrix_filter_block; horiz.nchildren = nslicesy; starpu_data_partition(B_handle, &vert); starpu_data_partition(A_handle, &horiz); starpu_data_map_filters(C_handle, 2, &vert, &horiz); } static void mult_kernel_common(void *descr[], int type) { TYPE *subA = (TYPE *)STARPU_MATRIX_GET_PTR(descr[0]); TYPE *subB = (TYPE *)STARPU_MATRIX_GET_PTR(descr[1]); TYPE *subC = (TYPE *)STARPU_MATRIX_GET_PTR(descr[2]); unsigned nxC = STARPU_MATRIX_GET_NX(descr[2]); unsigned nyC = STARPU_MATRIX_GET_NY(descr[2]); unsigned nyA = STARPU_MATRIX_GET_NY(descr[0]); unsigned ldA = STARPU_MATRIX_GET_LD(descr[0]); unsigned ldB = STARPU_MATRIX_GET_LD(descr[1]); unsigned ldC = STARPU_MATRIX_GET_LD(descr[2]); if (type == STARPU_CPU) { int worker_size = starpu_combined_worker_get_size(); if (worker_size == 1) { /* Sequential CPU task */ CPU_GEMM("N", "N", nxC, nyC, nyA, (TYPE)1.0, subA, ldA, subB, ldB, (TYPE)0.0, subC, ldC); } else { /* Parallel CPU task */ int rank = starpu_combined_worker_get_rank(); int block_size = (nyC + worker_size - 1)/worker_size; int new_nyC = STARPU_MIN(nyC, block_size*(rank+1)) - block_size*rank; STARPU_ASSERT(nyC = STARPU_MATRIX_GET_NY(descr[1])); TYPE *new_subB = &subB[block_size*rank]; TYPE *new_subC = &subC[block_size*rank]; CPU_GEMM("N", "N", nxC, new_nyC, nyA, (TYPE)1.0, subA, ldA, new_subB, ldB, (TYPE)0.0, new_subC, ldC); } } #ifdef STARPU_USE_CUDA else { CUBLAS_GEMM('n', 'n', nxC, nyC, nyA, (TYPE)1.0, subA, ldA, subB, ldB, (TYPE)0.0, subC, ldC); cudaStreamSynchronize(starpu_cuda_get_local_stream()); } #endif } #ifdef STARPU_USE_CUDA static void cublas_mult(void *descr[], STARPU_ATTRIBUTE_UNUSED void *arg) { mult_kernel_common(descr, STARPU_CUDA); } #endif static void cpu_mult(void *descr[], STARPU_ATTRIBUTE_UNUSED void *arg) { mult_kernel_common(descr, STARPU_CPU); } static struct starpu_perfmodel starpu_gemm_model = { .type = STARPU_HISTORY_BASED, .symbol = STARPU_GEMM_STR(gemm) }; static struct starpu_codelet cl = { .type = STARPU_SEQ, /* changed to STARPU_SPMD if -spmd is passed */ .max_parallelism = INT_MAX, .cpu_funcs = {cpu_mult, NULL}, #ifdef STARPU_USE_CUDA .cuda_funcs = {cublas_mult, NULL}, #endif .nbuffers = 3, .modes = {STARPU_R, STARPU_R, STARPU_RW}, .model = &starpu_gemm_model }; static void parse_args(int argc, char **argv) { int i; for (i = 1; i < argc; i++) { if (strcmp(argv[i], "-nblocks") == 0) { char *argptr; nslicesx = strtol(argv[++i], &argptr, 10); nslicesy = nslicesx; } else if (strcmp(argv[i], "-nblocksx") == 0) { char *argptr; nslicesx = strtol(argv[++i], &argptr, 10); } else if (strcmp(argv[i], "-nblocksy") == 0) { char *argptr; nslicesy = strtol(argv[++i], &argptr, 10); } else if (strcmp(argv[i], "-x") == 0) { char *argptr; xdim = strtol(argv[++i], &argptr, 10); } else if (strcmp(argv[i], "-y") == 0) { char *argptr; ydim = strtol(argv[++i], &argptr, 10); } else if (strcmp(argv[i], "-z") == 0) { char *argptr; zdim = strtol(argv[++i], &argptr, 10); } else if (strcmp(argv[i], "-iter") == 0) { char *argptr; niter = strtol(argv[++i], &argptr, 10); } else if (strcmp(argv[i], "-check") == 0) { check = 1; } else if (strcmp(argv[i], "-spmd") == 0) { cl.type = STARPU_SPMD; } else if (strcmp(argv[i], "-help") == 0 || strcmp(argv[i], "--help") == 0 || strcmp(argv[i], "-h") == 0) { fprintf(stderr,"Usage: %s [-nblocks n] [-nblocksx x] [-nblocksy y] [-x x] [-y y] [-z z] [-iter iter] [-check] [-spmd]\n", argv[0]); fprintf(stderr,"Currently selected: %ux%u * %ux%u and %ux%u blocks, %u iterations\n", zdim, ydim, xdim, zdim, nslicesx, nslicesy, niter); exit(EXIT_SUCCESS); } else { fprintf(stderr,"Unrecognized option %s", argv[i]); exit(EXIT_FAILURE); } } } int main(int argc, char **argv) { double start, end; int ret; parse_args(argc, argv); #ifdef STARPU_QUICK_CHECK niter /= 10; #endif ret = starpu_init(NULL); if (ret == -ENODEV) return 77; STARPU_CHECK_RETURN_VALUE(ret, "starpu_init"); starpu_cublas_init(); init_problem_data(); partition_mult_data(); start = starpu_timing_now(); unsigned x, y, iter; for (iter = 0; iter < niter; iter++) { for (x = 0; x < nslicesx; x++) for (y = 0; y < nslicesy; y++) { struct starpu_task *task = starpu_task_create(); task->cl = &cl; task->handles[0] = starpu_data_get_sub_data(A_handle, 1, y); task->handles[1] = starpu_data_get_sub_data(B_handle, 1, x); task->handles[2] = starpu_data_get_sub_data(C_handle, 2, x, y); ret = starpu_task_submit(task); if (ret == -ENODEV) { ret = 77; goto enodev; } STARPU_CHECK_RETURN_VALUE(ret, "starpu_task_submit"); } starpu_task_wait_for_all(); } end = starpu_timing_now(); double timing = end - start; FPRINTF(stderr, "Time: %2.2f ms\n", timing/1000.0); double flops = 2.0*((unsigned long)niter)*((unsigned long)xdim) *((unsigned long)ydim)*((unsigned long)zdim); FPRINTF(stderr, "GFlop/s: %.2f\n", flops/timing/1000.0); enodev: starpu_data_unpartition(C_handle, STARPU_MAIN_RAM); starpu_data_unpartition(B_handle, STARPU_MAIN_RAM); starpu_data_unpartition(A_handle, STARPU_MAIN_RAM); starpu_data_unregister(A_handle); starpu_data_unregister(B_handle); starpu_data_unregister(C_handle); if (check) check_output(); starpu_free(A); starpu_free(B); starpu_free(C); starpu_cublas_shutdown(); starpu_shutdown(); return ret; }