| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152 | /* StarPU --- Runtime system for heterogeneous multicore architectures. * * Copyright (C) 2009-2020  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 <starpu_mpi.h>#include "helper.h"#ifdef STARPU_QUICK_CHECK#  define NITER	32#elif !defined(STARPU_LONG_CHECK)#  define NITER	256#else#  define NITER	2048#endif#ifdef STARPU_USE_CUDAextern void increment_cuda(void *descr[], void *_args);#endifvoid increment_cpu(void *descr[], void *_args){	(void)_args;	int *tokenptr = (int *)STARPU_VECTOR_GET_PTR(descr[0]);	(*tokenptr)++;}static struct starpu_codelet increment_cl ={#ifdef STARPU_USE_CUDA	.cuda_funcs = {increment_cuda},#endif	.cpu_funcs = {increment_cpu},	.nbuffers = 1,	.modes = {STARPU_RW},	.model = &starpu_perfmodel_nop,};void increment_token(starpu_data_handle_t token_handle){	struct starpu_task *task = starpu_task_create();	task->cl = &increment_cl;	task->handles[0] = token_handle;	task->synchronous = 1;	int ret = starpu_task_submit(task);	STARPU_CHECK_RETURN_VALUE(ret, "starpu_task_submit");}int main(int argc, char **argv){	int ret, rank, size;	int mpi_init;	int token = 42;	starpu_data_handle_t token_handle;	MPI_INIT_THREAD(&argc, &argv, MPI_THREAD_SERIALIZED, &mpi_init);	ret = starpu_mpi_init_conf(&argc, &argv, mpi_init, MPI_COMM_WORLD, NULL);	STARPU_CHECK_RETURN_VALUE(ret, "starpu_mpi_init_conf");	starpu_mpi_comm_rank(MPI_COMM_WORLD, &rank);	starpu_mpi_comm_size(MPI_COMM_WORLD, &size);	if (size < 2 || (starpu_cpu_worker_get_count() + starpu_cuda_worker_get_count() == 0))	{		if (rank == 0)		{			if (size < 2)				FPRINTF(stderr, "We need at least 2 processes.\n");			else				FPRINTF(stderr, "We need at least 1 CPU or CUDA worker.\n");		}		starpu_mpi_shutdown();		if (!mpi_init)			MPI_Finalize();		return STARPU_TEST_SKIPPED;	}	starpu_vector_data_register(&token_handle, STARPU_MAIN_RAM, (uintptr_t)&token, 1, sizeof(token));	int nloops = NITER;	int loop;	int last_loop = nloops - 1;	int last_rank = size - 1;	for (loop = 0; loop < nloops; loop++)	{		starpu_mpi_tag_t tag = ((starpu_mpi_tag_t) loop)*size + rank;		if (loop == 0 && rank == 0)		{			starpu_data_acquire(token_handle, STARPU_W);			token = 0;			FPRINTF(stdout, "Start with token value %d\n", token);			starpu_data_release(token_handle);		}		else		{			MPI_Status status;			starpu_mpi_req req;			starpu_mpi_irecv(token_handle, &req, (rank+size-1)%size, tag, MPI_COMM_WORLD);			starpu_mpi_wait(&req, &status);		}		increment_token(token_handle);		if (loop == last_loop && rank == last_rank)		{			starpu_data_acquire(token_handle, STARPU_R);			FPRINTF(stdout, "Finished : token value %d\n", token);			starpu_data_release(token_handle);		}		else		{			starpu_mpi_req req;			MPI_Status status;			starpu_mpi_isend(token_handle, &req, (rank+1)%size, tag+1, MPI_COMM_WORLD);			starpu_mpi_wait(&req, &status);		}	}	starpu_data_unregister(token_handle);	starpu_mpi_shutdown();	if (!mpi_init)		MPI_Finalize();#ifndef STARPU_SIMGRID	if (rank == last_rank)	{		FPRINTF(stderr, "[%d] token = %d == %d * %d ?\n", rank, token, nloops, size);		STARPU_ASSERT(token == nloops*size);	}#endif	return 0;}
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