/* StarPU --- Runtime system for heterogeneous multicore architectures. * * Copyright (C) 2009-2012, 2014 Université de Bordeaux 1 * Copyright (C) 2010 Mehdi Juhoor * Copyright (C) 2010, 2011, 2012, 2013, 2014 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 "dw_block_spmv.h" #include "matrix_market/mm_to_bcsr.h" #define FPRINTF(ofile, fmt, ...) do { if (!getenv("STARPU_SSILENT")) {fprintf(ofile, fmt, ## __VA_ARGS__); }} while(0) static double start; static double end; static sem_t sem; static unsigned c = 256; static unsigned r = 256; static unsigned remainingtasks = -1; static starpu_data_handle_t sparse_matrix; static starpu_data_handle_t vector_in, vector_out; static uint32_t size; static char *inputfile; static bcsr_t *bcsr_matrix; static float *vector_in_ptr; static float *vector_out_ptr; void create_data(void) { /* read the input file */ bcsr_matrix = mm_file_to_bcsr(inputfile, c, r); /* declare the corresponding block CSR to the runtime */ starpu_bcsr_data_register(&sparse_matrix, STARPU_MAIN_RAM, bcsr_matrix->nnz_blocks, bcsr_matrix->nrows_blocks, (uintptr_t)bcsr_matrix->val, bcsr_matrix->colind, bcsr_matrix->rowptr, 0, bcsr_matrix->r, bcsr_matrix->c, sizeof(float)); size = c*r*starpu_bcsr_get_nnz(sparse_matrix); /* printf("size = %d \n ", size); */ /* initiate the 2 vectors */ vector_in_ptr = malloc(size*sizeof(float)); assert(vector_in_ptr); vector_out_ptr = malloc(size*sizeof(float)); assert(vector_out_ptr); /* fill those */ unsigned ind; for (ind = 0; ind < size; ind++) { vector_in_ptr[ind] = 2.0f; vector_out_ptr[ind] = 0.0f; } starpu_vector_data_register(&vector_in, STARPU_MAIN_RAM, (uintptr_t)vector_in_ptr, size, sizeof(float)); starpu_vector_data_register(&vector_out, STARPU_MAIN_RAM, (uintptr_t)vector_out_ptr, size, sizeof(float)); } void unregister_data(void) { starpu_data_unpartition(sparse_matrix, STARPU_MAIN_RAM); starpu_data_unregister(sparse_matrix); starpu_data_unpartition(vector_in, STARPU_MAIN_RAM); starpu_data_unregister(vector_in); starpu_data_unregister(vector_out); } void init_problem_callback(void *arg) { unsigned *remaining = arg; unsigned val = STARPU_ATOMIC_ADD(remaining, -1); /* if (val < 10) printf("callback %d remaining \n", val); */ if ( val == 0 ) { printf("DONE ...\n"); end = starpu_timing_now(); /* starpu_data_unpartition(sparse_matrix, STARPU_MAIN_RAM); */ starpu_data_unpartition(vector_out, STARPU_MAIN_RAM); sem_post(&sem); } } unsigned get_bcsr_nchildren(STARPU_ATTRIBUTE_UNUSED struct starpu_data_filter *f, starpu_data_handle_t handle) { return (unsigned)starpu_bcsr_get_nnz(handle); } struct starpu_data_interface_ops *get_bcsr_child_ops(STARPU_ATTRIBUTE_UNUSED struct starpu_data_filter *f, STARPU_ATTRIBUTE_UNUSED unsigned child) { return &starpu_interface_matrix_ops; } void call_filters(void) { struct starpu_data_filter bcsr_f; struct starpu_data_filter vector_in_f, vector_out_f; bcsr_f.filter_func = starpu_bcsr_filter_canonical_block; bcsr_f.get_nchildren = get_bcsr_nchildren; /* the children use a matrix interface ! */ bcsr_f.get_child_ops = get_bcsr_child_ops; vector_in_f.filter_func = starpu_vector_filter_block; vector_in_f.nchildren = size/c; vector_in_f.get_nchildren = NULL; vector_in_f.get_child_ops = NULL; vector_out_f.filter_func = starpu_vector_filter_block; vector_out_f.nchildren = size/r; vector_out_f.get_nchildren = NULL; vector_out_f.get_child_ops = NULL; starpu_data_partition(sparse_matrix, &bcsr_f); starpu_data_partition(vector_in, &vector_in_f); starpu_data_partition(vector_out, &vector_out_f); } #define NSPMV 32 unsigned totaltasks; struct starpu_codelet cl = { .cpu_funcs = { cpu_block_spmv, NULL}, #ifdef STARPU_USE_CUDA .cuda_funcs = {cublas_block_spmv, NULL}, #endif .nbuffers = 3, .modes = {STARPU_R, STARPU_R, STARPU_RW} }; void launch_spmv_codelets(void) { struct starpu_task *task_tab; uint8_t *is_entry_tab; int ret; /* we call one codelet per block */ unsigned nblocks = starpu_bcsr_get_nnz(sparse_matrix); unsigned nrows = starpu_bcsr_get_nrow(sparse_matrix); remainingtasks = NSPMV*nblocks; totaltasks = remainingtasks; unsigned taskid = 0; task_tab = calloc(totaltasks, sizeof(struct starpu_task)); STARPU_ASSERT(task_tab); is_entry_tab = calloc(totaltasks, sizeof(uint8_t)); STARPU_ASSERT(is_entry_tab); printf("there will be %d codelets\n", remainingtasks); uint32_t *rowptr = starpu_bcsr_get_local_rowptr(sparse_matrix); uint32_t *colind = starpu_bcsr_get_local_colind(sparse_matrix); start = starpu_timing_now(); unsigned loop; for (loop = 0; loop < NSPMV; loop++) { unsigned row; unsigned part = 0; for (row = 0; row < nrows; row++) { unsigned index; if (rowptr[row] == rowptr[row+1]) { continue; } for (index = rowptr[row]; index < rowptr[row+1]; index++, part++) { struct starpu_task *task = &task_tab[taskid]; starpu_task_init(task); task->use_tag = 1; task->tag_id = taskid; task->callback_func = init_problem_callback; task->callback_arg = &remainingtasks; task->cl = &cl; task->cl_arg = NULL; unsigned i = colind[index]; unsigned j = row; task->handles[0] = starpu_data_get_sub_data(sparse_matrix, 1, part); task->handles[1] = starpu_data_get_sub_data(vector_in, 1, i); task->handles[2] = starpu_data_get_sub_data(vector_out, 1, j); /* all tasks in the same row are dependant so that we don't wait too much for data * we need to wait on the previous task if we are not the first task of a row */ if (index != rowptr[row & ~0x3]) { /* this is not the first task in the row */ starpu_tag_declare_deps((starpu_tag_t)taskid, 1, (starpu_tag_t)(taskid-1)); is_entry_tab[taskid] = 0; } else { /* this is an entry task */ is_entry_tab[taskid] = 1; } taskid++; } } } printf("start submitting tasks !\n"); /* submit ALL tasks now */ unsigned nchains = 0; unsigned task; for (task = 0; task < totaltasks; task++) { if (is_entry_tab[task]) { nchains++; } ret = starpu_task_submit(&task_tab[task]); STARPU_CHECK_RETURN_VALUE(ret, "starpu_task_submit"); } printf("end of task submission (there was %d chains for %d tasks : ratio %d tasks per chain) !\n", nchains, totaltasks, totaltasks/nchains); } void init_problem(void) { /* create the sparse input matrix */ create_data(); /* create a new codelet that will perform a SpMV on it */ call_filters(); } void print_results(void) { unsigned row; for (row = 0; row < STARPU_MIN(size, 16); row++) { printf("%2.2f\t%2.2f\n", vector_in_ptr[row], vector_out_ptr[row]); } } int main(STARPU_ATTRIBUTE_UNUSED int argc, STARPU_ATTRIBUTE_UNUSED char **argv) { int ret; if (argc < 2) { FPRINTF(stderr, "usage : %s filename [tile size]\n", argv[0]); exit(-1); } if (argc == 3) { /* third argument is the tile size */ char *argptr; r = strtol(argv[2], &argptr, 10); c = r; } inputfile = argv[1]; /* start the runtime */ ret = starpu_init(NULL); if (ret == -ENODEV) return 77; STARPU_CHECK_RETURN_VALUE(ret, "starpu_init"); sem_init(&sem, 0, 0U); init_problem(); launch_spmv_codelets(); sem_wait(&sem); sem_destroy(&sem); unregister_data(); print_results(); double totalflop = 2.0*c*r*totaltasks; double timing = end - start; FPRINTF(stderr, "Computation took (in ms)\n"); FPRINTF(stdout, "%2.2f\n", timing/1000); FPRINTF(stderr, "Flop %e\n", totalflop); FPRINTF(stderr, "GFlops : %2.2f\n", totalflop/timing/1000); return 0; }