| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163 | /* StarPU --- Runtime system for heterogeneous multicore architectures. * * Copyright (C) 2010, 2011  Centre National de la Recherche Scientifique * Copyright (C) 2010, 2011  Université de Bordeaux 1 * * 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 demonstrates how to use StarPU to scale an array by a factor. * It shows how to manipulate data with StarPU's data management library. *  1- how to declare a piece of data to StarPU (starpu_vector_data_register) *  2- how to describe which data are accessed by a task (task->buffers[0]) *  3- how a kernel can manipulate the data (buffers[0].vector.ptr) */#include <starpu.h>#include <starpu_opencl.h>#include <stdio.h>#define	NX	2048000#define FPRINTF(ofile, fmt, args ...) do { if (!getenv("STARPU_SSILENT")) {fprintf(ofile, fmt, ##args); }} while(0)extern void scal_cpu_func(void *buffers[], void *_args);extern void scal_cpu_func_icc(void *buffers[], void *_args);extern void scal_sse_func(void *buffers[], void *_args);extern void scal_sse_func_icc(void *buffers[], void *_args);extern void scal_cuda_func(void *buffers[], void *_args);extern void scal_opencl_func(void *buffers[], void *_args);static struct starpu_perfmodel vector_scal_model = {	.type = STARPU_HISTORY_BASED,	.symbol = "vector_scale"};static struct starpu_perfmodel vector_scal_power_model = {	.type = STARPU_HISTORY_BASED,	.symbol = "vector_scale_power"};static struct starpu_codelet cl = {	.where = STARPU_CPU | STARPU_CUDA | STARPU_OPENCL,	/* CPU implementation of the codelet */	.cpu_funcs = {STARPU_MULTIPLE_CPU_IMPLEMENTATIONS, NULL},	.cpu_funcs = {		scal_cpu_func#ifdef STARPU_HAVE_ICC		, scal_cpu_func_icc#endif#ifdef __SSE__		, scal_sse_func#ifdef STARPU_HAVE_ICC		, scal_sse_func_icc#endif#endif	},#ifdef STARPU_USE_CUDA	/* CUDA implementation of the codelet */	.cuda_funcs = {scal_cuda_func, NULL},#endif#ifdef STARPU_USE_OPENCL	/* OpenCL implementation of the codelet */	.opencl_funcs = {scal_opencl_func, NULL},#endif	.nbuffers = 1,	.model = &vector_scal_model,	.power_model = &vector_scal_power_model};#ifdef STARPU_USE_OPENCLstruct starpu_opencl_program opencl_program;#endifint main(int argc, char **argv){	/* We consider a vector of float that is initialized just as any of C 	 * data */	float vector[NX];	unsigned i;	for (i = 0; i < NX; i++)                vector[i] = (i+1.0f);	/* Initialize StarPU with default configuration */	int ret = starpu_init(NULL);	if (ret == -ENODEV) goto enodev;	FPRINTF(stderr, "BEFORE: First element was %f\n", vector[0]);	FPRINTF(stderr, "BEFORE: Last element was %f\n", vector[NX-1]);#ifdef STARPU_USE_OPENCL	starpu_opencl_load_opencl_from_file("examples/basic_examples/vector_scal_opencl_kernel.cl",					    &opencl_program, NULL);#endif	/* Tell StaPU to associate the "vector" vector with the "vector_handle"	 * identifier. When a task needs to access a piece of data, it should	 * refer to the handle that is associated to it.	 * In the case of the "vector" data interface:	 *  - the first argument of the registration method is a pointer to the	 *    handle that should describe the data	 *  - the second argument is the memory node where the data (ie. "vector")	 *    resides initially: 0 stands for an address in main memory, as	 *    opposed to an adress on a GPU for instance.	 *  - the third argument is the adress of the vector in RAM	 *  - the fourth argument is the number of elements in the vector	 *  - the fifth argument is the size of each element.	 */	starpu_data_handle_t vector_handle;	starpu_vector_data_register(&vector_handle, 0, (uintptr_t)vector, NX, sizeof(vector[0]));	float factor = 3.14;	/* create a synchronous task: any call to starpu_task_submit will block 	 * until it is terminated */	struct starpu_task *task = starpu_task_create();	task->synchronous = 1;	task->cl = &cl;	/* the codelet manipulates one buffer in RW mode */	task->buffers[0].handle = vector_handle;	task->buffers[0].mode = STARPU_RW;	/* an argument is passed to the codelet, beware that this is a	 * READ-ONLY buffer and that the codelet may be given a pointer to a	 * COPY of the argument */	task->cl_arg = &factor;	task->cl_arg_size = sizeof(factor);	/* execute the task on any eligible computational ressource */	starpu_task_submit(task);	/* StarPU does not need to manipulate the array anymore so we can stop 	 * monitoring it */	starpu_data_unregister(vector_handle);	starpu_task_destroy(task);#ifdef STARPU_USE_OPENCL        starpu_opencl_unload_opencl(&opencl_program);#endif	/* terminate StarPU, no task can be submitted after */	starpu_shutdown();	FPRINTF(stderr, "AFTER: First element is %f\n", vector[0]);	FPRINTF(stderr, "AFTER: Last element is %f\n", vector[NX-1]);	return 0;enodev:	return 77;}
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