| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205 | /* StarPU --- Runtime system for heterogeneous multicore architectures. * * Copyright (C) 2014-2020  Université de Bordeaux, CNRS (LaBRI UMR 5800), 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 <pthread.h>#include <starpu.h>#include "../helper.h"#include <stdio.h>/* * Check executing a CUDA target task. */#if !defined(STARPU_OPENMP) || !defined(STARPU_USE_CUDA)int main(void){	return STARPU_TEST_SKIPPED;}#else#define	NX	64int global_vector_1[NX];int global_vector_2[NX];__attribute__((constructor))static void omp_constructor(void){	int ret = starpu_omp_init();	if (ret == -EINVAL) exit(STARPU_TEST_SKIPPED);	STARPU_CHECK_RETURN_VALUE(ret, "starpu_omp_init");}__attribute__((destructor))static void omp_destructor(void){	starpu_omp_shutdown();}void task_region_g(void *buffers[], void *args){	struct starpu_vector_interface *_vector_1 = buffers[0];	int nx1 = STARPU_VECTOR_GET_NX(_vector_1);	int *v1 = (int *)STARPU_VECTOR_GET_PTR(_vector_1);	struct starpu_vector_interface *_vector_2 = buffers[1];	int nx2 = STARPU_VECTOR_GET_NX(_vector_2);	int *v2 = (int *)STARPU_VECTOR_GET_PTR(_vector_2);	int f = (int)(intptr_t)args;	STARPU_ASSERT(nx1 == nx2);	printf("depth 1 task, entry: vector_1 ptr = %p\n", v1);	printf("depth 1 task, entry: vector_2 ptr = %p\n", v2);	printf("depth 1 task, entry: f = %d\n", f);	fprintf(stderr, "cudaMemcpy: -->\n");	cudaMemcpyAsync(v2,v1,nx1*sizeof(*_vector_1), cudaMemcpyDeviceToDevice, starpu_cuda_get_local_stream());	fprintf(stderr, "cudaMemcpy: <--\n");	cudaStreamSynchronize(starpu_cuda_get_local_stream());}void master_g1(void *arg){	(void)arg;	{		starpu_data_handle_t region_vector_handle;		int i;		printf("master_g1: vector ptr = %p\n", global_vector_1);		for (i = 0; i < NX; i++)		{			global_vector_1[i] = 1;		}		starpu_vector_data_register(®ion_vector_handle, STARPU_MAIN_RAM, (uintptr_t)global_vector_1, NX, sizeof(global_vector_1[0]));		printf("master_g1: region_vector_handle = %p\n", region_vector_handle);	}	{		starpu_data_handle_t region_vector_handle;		int i;		printf("master_g1: vector ptr = %p\n", global_vector_2);		for (i = 0; i < NX; i++)		{			global_vector_2[i] = 0;		}		starpu_vector_data_register(®ion_vector_handle, STARPU_MAIN_RAM, (uintptr_t)global_vector_2, NX, sizeof(global_vector_2[0]));		printf("master_g1: region_vector_handle = %p\n", region_vector_handle);	}}void master_g2(void *arg){	(void)arg;	starpu_data_handle_t region_vector_handles[2];	struct starpu_omp_task_region_attr attr;	int i;	region_vector_handles[0] = starpu_data_lookup(global_vector_1);	printf("master_g2: region_vector_handles[0] = %p\n", region_vector_handles[0]);	region_vector_handles[1] = starpu_data_lookup(global_vector_2);	printf("master_g2: region_vector_handles[1] = %p\n", region_vector_handles[1]);	memset(&attr, 0, sizeof(attr));#ifdef STARPU_SIMGRID	attr.cl.model         = &starpu_perfmodel_nop;	attr.cl.flags         = STARPU_CODELET_SIMGRID_EXECUTE;#endif	attr.cl.cpu_funcs[0]  = NULL;	attr.cl.cuda_funcs[0] = task_region_g;	attr.cl.where         = STARPU_CUDA;	attr.cl.nbuffers      = 2;	attr.cl.modes[0]      = STARPU_R;	attr.cl.modes[1]      = STARPU_W;	attr.handles          = region_vector_handles;	attr.cl_arg_size      = sizeof(void *);	attr.cl_arg_free      = 0;	attr.if_clause        = 1;	attr.final_clause     = 0;	attr.untied_clause    = 1;	attr.mergeable_clause = 0;	i = 0;	attr.cl_arg = (void *)(intptr_t)i;	starpu_omp_task_region(&attr);}void parallel_region_f(void *buffers[], void *args){	(void)buffers;	(void)args;	starpu_omp_master(master_g1, NULL);	starpu_omp_barrier();	{		starpu_data_handle_t region_vector_handle_1;		region_vector_handle_1 = starpu_data_lookup(global_vector_1);		printf("parallel_region block 1: region_vector_handle_1 = %p\n", region_vector_handle_1);	}	{		starpu_data_handle_t region_vector_handle_2;		region_vector_handle_2 = starpu_data_lookup(global_vector_2);		printf("parallel_region block 1: region_vector_handle_2 = %p\n", region_vector_handle_2);	}	starpu_omp_barrier();	starpu_omp_master(master_g2, NULL);	starpu_omp_barrier();	{		starpu_data_handle_t region_vector_handle_1;		region_vector_handle_1 = starpu_data_lookup(global_vector_1);		printf("parallel_region block 2: region_vector_handle_1 = %p\n", region_vector_handle_1);	}	{		starpu_data_handle_t region_vector_handle_2;		region_vector_handle_2 = starpu_data_lookup(global_vector_2);		printf("parallel_region block 2: region_vector_handle_2 = %p\n", region_vector_handle_2);	}}intmain (void){	struct starpu_omp_parallel_region_attr attr;	if (starpu_cuda_worker_get_count() < 1)	{		return STARPU_TEST_SKIPPED;	}	memset(&attr, 0, sizeof(attr));#ifdef STARPU_SIMGRID	attr.cl.model        = &starpu_perfmodel_nop;#endif	attr.cl.flags        = STARPU_CODELET_SIMGRID_EXECUTE;	attr.cl.cpu_funcs[0] = parallel_region_f;	attr.cl.where        = STARPU_CPU;	attr.if_clause       = 1;	starpu_omp_parallel_region(&attr);	int i;	for (i = 0; i < NX; i++)	{		if (global_vector_1[i] != global_vector_2[i])		{			fprintf(stderr, "check failed: global_vector_1[%d] = %d, global_vector_2[%d] = %d\n", i, global_vector_1[i], i, global_vector_2[i]);			return EXIT_FAILURE;		}	}	return 0;}#endif
 |