| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227228229230231232233234235236237238239240241242243244245246247248249250251252253254255256257258259260261262263264265266267268269270271272273274275276277278 | /* StarPU --- Runtime system for heterogeneous multicore architectures. * * Copyright (C) 2009-2020  Université de Bordeaux, CNRS (LaBRI UMR 5800), Inria * Copyright (C) 2010       Mehdi Juhoor * Copyright (C) 2018       Alexis Juven * * 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. *//* * This example shows a simple implementation of a blocked matrix * multiplication. Note that this is NOT intended to be an efficient * implementation of sgemm! In this example, we show: *  - how to declare dense matrices (starpu_matrix_data_register) *  - how to manipulate matrices within codelets (eg. descr[0].blas.ld) *  - how to use filters to partition the matrices into blocks *    (starpu_data_partition and starpu_data_map_filters) *  - how to unpartition data (starpu_data_unpartition) and how to stop *    monitoring data (starpu_data_unregister) *  - how to manipulate subsets of data (starpu_data_get_sub_data) *  - how to construct an autocalibrated performance model (starpu_perfmodel) *  - how to submit asynchronous tasks */#include <string.h>#include <math.h>#include <sys/types.h>#include <signal.h>#include <starpu.h>/* * That program should compute C = A * B * *   A of size (z,y) *   B of size (x,z) *   C of size (x,y)              |---------------|            z |       B       |              |---------------|       z              x     |----|   |---------------|     |    |   |               |     |    |   |               |     | A  | y |       C       |     |    |   |               |     |    |   |               |     |----|   |---------------| */void gpu_mult(void **, void *);void cpu_mult(void **, void *);static struct starpu_perfmodel model ={		.type = STARPU_HISTORY_BASED,		.symbol = "history_perf"};static struct starpu_codelet cl ={		.cpu_funcs = {cpu_mult},		.cpu_funcs_name = {"cpu_mult"},		.cuda_funcs = {gpu_mult},		.nbuffers = 3,		.modes = {STARPU_R, STARPU_R, STARPU_W},		.model = &model};void multiply_with_starpu(float *A, float *B, float *C,  unsigned xdim,  unsigned ydim,  unsigned zdim, unsigned nslicesx, unsigned nslicesy){	starpu_data_handle_t A_handle, B_handle, C_handle;	starpu_matrix_data_register(&A_handle, STARPU_MAIN_RAM, (uintptr_t)A,			ydim, ydim, zdim, sizeof(float));	starpu_matrix_data_register(&B_handle, STARPU_MAIN_RAM, (uintptr_t)B,			zdim, zdim, xdim, sizeof(float));	starpu_matrix_data_register(&C_handle, STARPU_MAIN_RAM, (uintptr_t)C,			ydim, ydim, xdim, sizeof(float));	struct starpu_data_filter vert =	{			.filter_func = starpu_matrix_filter_vertical_block,			.nchildren = nslicesx	};	struct starpu_data_filter horiz =	{			.filter_func = starpu_matrix_filter_block,			.nchildren = nslicesy	};	starpu_data_partition(B_handle, &vert);	starpu_data_partition(A_handle, &horiz);	starpu_data_map_filters(C_handle, 2, &vert, &horiz);	unsigned taskx, tasky;	for (taskx = 0; taskx < nslicesx; taskx++){		for (tasky = 0; tasky < nslicesy; tasky++){			struct starpu_task *task = starpu_task_create();			task->cl = &cl;			task->handles[0] = starpu_data_get_sub_data(A_handle, 1, tasky);			task->handles[1] = starpu_data_get_sub_data(B_handle, 1, taskx);			task->handles[2] = starpu_data_get_sub_data(C_handle, 2, taskx, tasky);			starpu_task_submit(task);		}	}	starpu_task_wait_for_all();	starpu_data_unpartition(A_handle, STARPU_MAIN_RAM);	starpu_data_unpartition(B_handle, STARPU_MAIN_RAM);	starpu_data_unpartition(C_handle, STARPU_MAIN_RAM);	starpu_data_unregister(A_handle);	starpu_data_unregister(B_handle);	starpu_data_unregister(C_handle);}void init_rand(float * m, unsigned width, unsigned height){	unsigned i,j;	for (j = 0 ; j < height ; j++){		for (i = 0 ; i < width ; i++){			m[j+i*height] = (float)(starpu_drand48());		}	}}void init_zero(float * m, unsigned width, unsigned height){	memset(m, 0, sizeof(float) * width * height);}void sort(unsigned int size, double t[]){	unsigned int j;	int is_sort = 0;	while(!is_sort){		is_sort = 1;		for (j = 0 ; j < size - 1 ; j++){			if (t[j] > t[j+1]){				double tmp = t[j];				t[j] = t[j+1];				t[j+1] = tmp;				is_sort = 0;			}		}	}}double median_time(unsigned nb_test, unsigned xdim, unsigned ydim, unsigned zdim, unsigned nsclicesx, unsigned nsclicesy){	unsigned i;	float * A = (float *) malloc(zdim*ydim*sizeof(float));	float * B = (float *) malloc(xdim*zdim*sizeof(float));	float * C = (float *) malloc(xdim*ydim*sizeof(float));	double exec_times[nb_test];	for (i = 0 ; i < nb_test ; i++){		double start, stop, exec_t;		init_rand(A, zdim, ydim);		init_rand(B, xdim, zdim);		init_zero(C, xdim, ydim);		start = starpu_timing_now();		multiply_with_starpu(A, B, C, xdim, ydim, zdim, nsclicesx, nsclicesy);		stop = starpu_timing_now();		exec_t = (stop - start)/1.e6;		exec_times[i] = exec_t;	}	sort(nb_test, exec_times);	free(A);	free(B);	free(C);	return exec_times[nb_test/2];}void display_times(unsigned start_dim, unsigned step_dim, unsigned stop_dim, unsigned nb_tests, unsigned nsclicesx, unsigned nsclicesy){	unsigned dim;	for (dim = start_dim ; dim <= stop_dim ; dim += step_dim){		double t = median_time(nb_tests, dim, dim, dim, nsclicesx, nsclicesy);		printf("%u ; %f\n", dim, t);	}}int main(int argc, char * argv[]){	if (argc != 7){		printf("Usage : %s start_dim step_dim stop_dim nb_tests nsclicesx nsclicesy\n", argv[0]);		return 1;	}	if (starpu_init(NULL) != EXIT_SUCCESS){		fprintf(stderr, "ERROR\n");		return 77;	}	unsigned start_dim = (unsigned) atoi(argv[1]);	unsigned step_dim = (unsigned) atoi(argv[2]);	unsigned stop_dim = (unsigned) atoi(argv[3]);	unsigned nb_tests = (unsigned) atoi(argv[4]);	unsigned nsclicesx = (unsigned) atoi(argv[5]);	unsigned nsclicesy = (unsigned) atoi(argv[6]);	display_times(start_dim, step_dim, stop_dim, nb_tests, nsclicesx, nsclicesy);	starpu_shutdown();	return 0;}
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