| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227228229230231232233234235236237238239240241242243244245246247248249250251252253254255256257258259260261262263264265266267268269270271272273274275276277278279280281282283284285286287288289290291292293294295296297298299300301302303304305306307308309310311312313314 | /* StarPU --- Runtime system for heterogeneous multicore architectures. * * Copyright (C) 2009, 2010  Université de Bordeaux 1 * Copyright (C) 2010  Centre National de la Recherche Scientifique * * 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 "dw_cholesky.h"#include "dw_cholesky_models.h"/* A [ y ] [ x ] */float *A[NMAXBLOCKS][NMAXBLOCKS];starpu_data_handle A_state[NMAXBLOCKS][NMAXBLOCKS];/* *	Some useful functions */static struct starpu_task *create_task(starpu_tag_t id){	struct starpu_task *task = starpu_task_create();		task->cl_arg = NULL;		task->use_tag = 1;		task->tag_id = id;	return task;}/* *	Create the codelets */static starpu_codelet cl11 ={	.where = STARPU_CPU|STARPU_CUDA|STARPU_GORDON,	.cpu_func = chol_cpu_codelet_update_u11,#ifdef STARPU_USE_CUDA	.cuda_func = chol_cublas_codelet_update_u11,#endif#ifdef STARPU_USE_GORDON#ifdef SPU_FUNC_POTRF	.gordon_func = SPU_FUNC_POTRF,#else#warning SPU_FUNC_POTRF is not available#endif#endif	.nbuffers = 1,	.model = &chol_model_11};static struct starpu_task * create_task_11(unsigned k, unsigned nblocks){//	printf("task 11 k = %d TAG = %llx\n", k, (TAG11(k)));	struct starpu_task *task = create_task(TAG11(k));		task->cl = &cl11;	/* which sub-data is manipulated ? */	task->buffers[0].handle = A_state[k][k];	task->buffers[0].mode = STARPU_RW;	/* this is an important task */	task->priority = STARPU_MAX_PRIO;	/* enforce dependencies ... */	if (k > 0) {		starpu_tag_declare_deps(TAG11(k), 1, TAG22(k-1, k, k));	}	return task;}static starpu_codelet cl21 ={	.where = STARPU_CPU|STARPU_CUDA|STARPU_GORDON,	.cpu_func = chol_cpu_codelet_update_u21,#ifdef STARPU_USE_CUDA	.cuda_func = chol_cublas_codelet_update_u21,#endif#ifdef STARPU_USE_GORDON#ifdef SPU_FUNC_STRSM	.gordon_func = SPU_FUNC_STRSM,#else#warning SPU_FUNC_STRSM is not available#endif#endif	.nbuffers = 2,	.model = &chol_model_21};static void create_task_21(unsigned k, unsigned j){	struct starpu_task *task = create_task(TAG21(k, j));	task->cl = &cl21;		/* which sub-data is manipulated ? */	task->buffers[0].handle = A_state[k][k]; 	task->buffers[0].mode = STARPU_R;	task->buffers[1].handle = A_state[j][k]; 	task->buffers[1].mode = STARPU_RW;	if (j == k+1) {		task->priority = STARPU_MAX_PRIO;	}	/* enforce dependencies ... */	if (k > 0) {		starpu_tag_declare_deps(TAG21(k, j), 2, TAG11(k), TAG22(k-1, k, j));	}	else {		starpu_tag_declare_deps(TAG21(k, j), 1, TAG11(k));	}	starpu_task_submit(task);}static starpu_codelet cl22 ={	.where = STARPU_CPU|STARPU_CUDA|STARPU_GORDON,	.cpu_func = chol_cpu_codelet_update_u22,#ifdef STARPU_USE_CUDA	.cuda_func = chol_cublas_codelet_update_u22,#endif#ifdef STARPU_USE_GORDON#ifdef SPU_FUNC_SGEMM	.gordon_func = SPU_FUNC_SGEMM,#else#warning SPU_FUNC_SGEMM is not available#endif#endif	.nbuffers = 3,	.model = &chol_model_22};static void create_task_22(unsigned k, unsigned i, unsigned j){//	printf("task 22 k,i,j = %d,%d,%d TAG = %llx\n", k,i,j, TAG22(k,i,j));	struct starpu_task *task = create_task(TAG22(k, i, j));	task->cl = &cl22;	/* which sub-data is manipulated ? */	task->buffers[0].handle = A_state[i][k]; 	task->buffers[0].mode = STARPU_R;	task->buffers[1].handle = A_state[j][k]; 	task->buffers[1].mode = STARPU_R;	task->buffers[2].handle = A_state[j][i]; 	task->buffers[2].mode = STARPU_RW;	if ( (i == k + 1) && (j == k +1) ) {		task->priority = STARPU_MAX_PRIO;	}	/* enforce dependencies ... */	if (k > 0) {		starpu_tag_declare_deps(TAG22(k, i, j), 3, TAG22(k-1, i, j), TAG21(k, i), TAG21(k, j));	}	else {		starpu_tag_declare_deps(TAG22(k, i, j), 2, TAG21(k, i), TAG21(k, j));	}	starpu_task_submit(task);}/* *	code to bootstrap the factorization  *	and construct the DAG */static void dw_cholesky_no_stride(void){	struct timeval start;	struct timeval end;	struct starpu_task *entry_task = NULL;	/* create all the DAG nodes */	unsigned i,j,k;	for (k = 0; k < nblocks; k++)	{		struct starpu_task *task = create_task_11(k, nblocks);		/* we defer the launch of the first task */		if (k == 0) {			entry_task = task;		}		else {			starpu_task_submit(task);		}				for (j = k+1; j<nblocks; j++)		{			create_task_21(k, j);			for (i = k+1; i<nblocks; i++)			{				if (i <= j)					create_task_22(k, i, j);			}		}	}	/* schedule the codelet */	gettimeofday(&start, NULL);	starpu_task_submit(entry_task);	/* stall the application until the end of computations */	starpu_tag_wait(TAG11(nblocks-1));	gettimeofday(&end, NULL);	double timing = (double)((end.tv_sec - start.tv_sec)*1000000 + (end.tv_usec - start.tv_usec));	fprintf(stderr, "Computation took (in ms)\n");	printf("%2.2f\n", timing/1000);	double flop = (1.0f*size*size*size)/3.0f;	fprintf(stderr, "Synthetic GFlops : %2.2f\n", (flop/timing/1000.0f));}int main(int argc, char **argv){	unsigned x, y;	unsigned i, j;	parse_args(argc, argv);	assert(nblocks <= NMAXBLOCKS);	fprintf(stderr, "BLOCK SIZE = %d\n", size / nblocks);	starpu_init(NULL);	/* Disable sequential consistency */	starpu_data_set_default_sequential_consistency_flag(0);	starpu_helper_cublas_init();	for (y = 0; y < nblocks; y++)	for (x = 0; x < nblocks; x++)	{		if (x <= y) {			A[y][x] = malloc(BLOCKSIZE*BLOCKSIZE*sizeof(float));			assert(A[y][x]);		}	}	for (y = 0; y < nblocks; y++)	for (x = 0; x < nblocks; x++)	{		if (x <= y) {#ifdef STARPU_HAVE_POSIX_MEMALIGN			posix_memalign((void **)&A[y][x], 128, BLOCKSIZE*BLOCKSIZE*sizeof(float));#else			A[y][x] = malloc(BLOCKSIZE*BLOCKSIZE*sizeof(float));#endif			assert(A[y][x]);		}	}	/* create a simple definite positive symetric matrix example	 *	 *	Hilbert matrix : h(i,j) = 1/(i+j+1) ( + n In to make is stable ) 	 * */	for (y = 0; y < nblocks; y++)	for (x = 0; x < nblocks; x++)	if (x <= y) {		for (i = 0; i < BLOCKSIZE; i++)		for (j = 0; j < BLOCKSIZE; j++)		{			A[y][x][i*BLOCKSIZE + j] =				(float)(1.0f/((float) (1.0+(x*BLOCKSIZE+i)+(y*BLOCKSIZE+j))));			/* make it a little more numerically stable ... ;) */			if ((x == y) && (i == j))				A[y][x][i*BLOCKSIZE + j] += (float)(2*size);		}	}	for (y = 0; y < nblocks; y++)	for (x = 0; x < nblocks; x++)	{		if (x <= y) {			starpu_matrix_data_register(&A_state[y][x], 0, (uintptr_t)A[y][x], 				BLOCKSIZE, BLOCKSIZE, BLOCKSIZE, sizeof(float));		}	}	dw_cholesky_no_stride();	starpu_helper_cublas_shutdown();	starpu_shutdown();	return 0;}
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