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							- /* StarPU --- Runtime system for heterogeneous multicore architectures.
 
-  *
 
-  * Copyright (C) 2018                                     Alexis Juven
 
-  * Copyright (C) 2012,2013                                Inria
 
-  * Copyright (C) 2009-2011,2013-2015                      Université de Bordeaux
 
-  * Copyright (C) 2010                                     Mehdi Juhoor
 
-  * Copyright (C) 2010-2013,2015,2017                      CNRS
 
-  *
 
-  * 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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