| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203 | /* StarPU --- Runtime system for heterogeneous multicore architectures. * * Copyright (C) 2011-2014  Université de Bordeaux * Copyright (C) 2011  Télécom-SudParis * Copyright (C) 2012 inria * * 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 <config.h>#include <starpu.h>#include <starpu_scheduler.h>#include "../helper.h"#ifdef STARPU_USE_CUDAstatic void memset_cuda(void *descr[], void *arg){	STARPU_SKIP_IF_VALGRIND;	int *ptr = (int *)STARPU_VECTOR_GET_PTR(descr[0]);	unsigned n = STARPU_VECTOR_GET_NX(descr[0]);	cudaMemsetAsync(ptr, 42, n * sizeof(*ptr), starpu_cuda_get_local_stream());}#endif#ifdef STARPU_USE_OPENCLextern void memset_opencl(void *buffers[], void *args);#endifvoid memset_cpu(void *descr[], void *arg){	STARPU_SKIP_IF_VALGRIND;	int *ptr = (int *)STARPU_VECTOR_GET_PTR(descr[0]);	unsigned n = STARPU_VECTOR_GET_NX(descr[0]);	memset(ptr, 42, n * sizeof(*ptr));}static struct starpu_perfmodel model ={	.type = STARPU_REGRESSION_BASED,	.symbol = "memset_regression_based"};static struct starpu_perfmodel nl_model ={	.type = STARPU_NL_REGRESSION_BASED,	.symbol = "non_linear_memset_regression_based"};static struct starpu_codelet memset_cl ={#ifdef STARPU_USE_CUDA	.cuda_funcs = {memset_cuda},	.cuda_flags = {STARPU_CUDA_ASYNC},#endif#ifdef STARPU_USE_OPENCL	.opencl_funcs = {memset_opencl},	.opencl_flags = {STARPU_OPENCL_ASYNC},#endif	.cpu_funcs = {memset_cpu},	.cpu_funcs_name = {"memset_cpu"},	.model = &model,	.nbuffers = 1,	.modes = {STARPU_W}};static struct starpu_codelet nl_memset_cl ={#ifdef STARPU_USE_CUDA	.cuda_funcs = {memset_cuda},	.cuda_flags = {STARPU_CUDA_ASYNC},#endif#ifdef STARPU_USE_OPENCL	.opencl_funcs = {memset_opencl},	.opencl_flags = {STARPU_OPENCL_ASYNC},#endif	.cpu_funcs = {memset_cpu},	.cpu_funcs_name = {"memset_cpu"},	.model = &nl_model,	.nbuffers = 1,	.modes = {STARPU_W}};static void test_memset(int nelems, struct starpu_codelet *codelet){	int nloops = 100;	int loop;	starpu_data_handle_t handle;        starpu_vector_data_register(&handle, -1, (uintptr_t)NULL, nelems, sizeof(int));	for (loop = 0; loop < nloops; loop++)	{		struct starpu_task *task = starpu_task_create();		task->cl = codelet;		task->handles[0] = handle;		int ret = starpu_task_submit(task);		if (ret == -ENODEV)			exit(STARPU_TEST_SKIPPED);		STARPU_CHECK_RETURN_VALUE(ret, "starpu_task_submit");	}        starpu_data_unregister(handle);}static void show_task_perfs(int size, struct starpu_task *task){	unsigned workerid;	for (workerid = 0; workerid < starpu_worker_get_count(); workerid++)	{		char name[16];		starpu_worker_get_name(workerid, name, sizeof(name));		unsigned nimpl;		for (nimpl = 0; nimpl < STARPU_MAXIMPLEMENTATIONS; nimpl++)		{			FPRINTF(stdout, "Expected time for %d on %s (impl %d):\t%f\n",				size, name, nimpl, starpu_task_expected_length(task, starpu_worker_get_perf_archtype(workerid, task->sched_ctx), nimpl));		}	}}#ifdef STARPU_USE_OPENCLstruct starpu_opencl_program opencl_program;#endifint main(int argc, char **argv){	struct starpu_conf conf;	starpu_data_handle_t handle;	int ret;	starpu_conf_init(&conf);	conf.sched_policy_name = "eager";	conf.calibrate = 2;	ret = starpu_initialize(&conf, &argc, &argv);	if (ret == -ENODEV) return STARPU_TEST_SKIPPED;	STARPU_CHECK_RETURN_VALUE(ret, "starpu_init");#ifdef STARPU_USE_OPENCL	ret = starpu_opencl_load_opencl_from_file("tests/perfmodels/opencl_memset_kernel.cl",						  &opencl_program, NULL);	STARPU_CHECK_RETURN_VALUE(ret, "starpu_opencl_load_opencl_from_file");#endif	int size;	for (size = 1024; size < 16777216; size *= 2)	{		/* Use a linear regression */		test_memset(size, &memset_cl);		/* Use a non-linear regression */		test_memset(size, &nl_memset_cl);	}	ret = starpu_task_wait_for_all();	STARPU_CHECK_RETURN_VALUE(ret, "starpu_task_wait_for_all");	/* Now create a dummy task just to estimate its duration according to the regression */	size = 12345;	starpu_vector_data_register(&handle, -1, (uintptr_t)NULL, size, sizeof(int));	struct starpu_task *task = starpu_task_create();	task->cl = &memset_cl;	task->handles[0] = handle;	task->destroy = 0;	show_task_perfs(size, task);	task->cl = &nl_memset_cl;	show_task_perfs(size, task);	starpu_task_destroy(task);	starpu_data_unregister(handle);#ifdef STARPU_USE_OPENCL        ret = starpu_opencl_unload_opencl(&opencl_program);        STARPU_CHECK_RETURN_VALUE(ret, "starpu_opencl_unload_opencl");#endif	starpu_shutdown();	return EXIT_SUCCESS;}
 |