| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227228229230231232233234235236237238239240241242243244245246247248249250251252253254255256257258259260261262263264265266267268269270271272273274275276277278279280281282283284285286287288289290291292293294295296297298299300301302303304305306307308309 | /* StarPU --- Runtime system for heterogeneous multicore architectures. * * Copyright (C) 2010-2012  Université de Bordeaux 1 * Copyright (C) 2010  Mehdi Juhoor <mjuhoor@gmail.com> * Copyright (C) 2010, 2011, 2012  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 "xlu.h"#include "xlu_kernels.h"static unsigned no_prio = 0;/* *	Construct the DAG */static int create_task_pivot(starpu_data_handle_t *dataAp, unsigned nblocks,			     struct piv_s *piv_description,			     unsigned k, unsigned i,			     starpu_data_handle_t (* get_block)(starpu_data_handle_t *, unsigned, unsigned, unsigned)){	int ret;	struct starpu_task *task = starpu_task_create();	task->cl = &cl_pivot;	/* which sub-data is manipulated ? */	task->handles[0] = get_block(dataAp, nblocks, k, i);	task->cl_arg = &piv_description[k];	/* this is an important task */	if (!no_prio && (i == k+1))		task->priority = STARPU_MAX_PRIO;	ret = starpu_task_submit(task);	if (ret != -ENODEV) STARPU_CHECK_RETURN_VALUE(ret, "starpu_task_submit");	return ret;}static int create_task_11_pivot(starpu_data_handle_t *dataAp, unsigned nblocks,				unsigned k, struct piv_s *piv_description,				starpu_data_handle_t (* get_block)(starpu_data_handle_t *, unsigned, unsigned, unsigned)){	int ret;	struct starpu_task *task = starpu_task_create();	task->cl = &cl11_pivot;	task->cl_arg = &piv_description[k];	/* which sub-data is manipulated ? */	task->handles[0] = get_block(dataAp, nblocks, k, k);	/* this is an important task */	if (!no_prio)		task->priority = STARPU_MAX_PRIO;	ret = starpu_task_submit(task);	if (ret != -ENODEV) STARPU_CHECK_RETURN_VALUE(ret, "starpu_task_submit");	return ret;}static int create_task_12(starpu_data_handle_t *dataAp, unsigned nblocks, unsigned k, unsigned j,			  starpu_data_handle_t (* get_block)(starpu_data_handle_t *, unsigned, unsigned, unsigned)){	int ret;	struct starpu_task *task = starpu_task_create();	task->cl = &cl12;	/* which sub-data is manipulated ? */	task->handles[0] = get_block(dataAp, nblocks, k, k);	task->handles[1] = get_block(dataAp, nblocks, j, k);	if (!no_prio && (j == k+1))		task->priority = STARPU_MAX_PRIO;	ret = starpu_task_submit(task);	if (ret != -ENODEV) STARPU_CHECK_RETURN_VALUE(ret, "starpu_task_submit");	return ret;}static int create_task_21(starpu_data_handle_t *dataAp, unsigned nblocks, unsigned k, unsigned i,			  starpu_data_handle_t (* get_block)(starpu_data_handle_t *, unsigned, unsigned, unsigned)){	int ret;	struct starpu_task *task = starpu_task_create();	task->cl = &cl21;	/* which sub-data is manipulated ? */	task->handles[0] = get_block(dataAp, nblocks, k, k);	task->handles[1] = get_block(dataAp, nblocks, k, i);	if (!no_prio && (i == k+1))		task->priority = STARPU_MAX_PRIO;	ret = starpu_task_submit(task);	if (ret != -ENODEV) STARPU_CHECK_RETURN_VALUE(ret, "starpu_task_submit");	return ret;}static int create_task_22(starpu_data_handle_t *dataAp, unsigned nblocks, unsigned k, unsigned i, unsigned j,			  starpu_data_handle_t (* get_block)(starpu_data_handle_t *, unsigned, unsigned, unsigned)){	int ret;	struct starpu_task *task = starpu_task_create();	task->cl = &cl22;	/* which sub-data is manipulated ? */	task->handles[0] = get_block(dataAp, nblocks, k, i);	task->handles[1] = get_block(dataAp, nblocks, j, k);	task->handles[2] = get_block(dataAp, nblocks, j, i);	if (!no_prio &&  (i == k + 1) && (j == k +1) )		task->priority = STARPU_MAX_PRIO;	ret = starpu_task_submit(task);	if (ret != -ENODEV) STARPU_CHECK_RETURN_VALUE(ret, "starpu_task_submit");	return ret;}/* *	code to bootstrap the factorization */static int dw_codelet_facto_pivot(starpu_data_handle_t *dataAp,				  struct piv_s *piv_description,				  unsigned nblocks,				  starpu_data_handle_t (* get_block)(starpu_data_handle_t *, unsigned, unsigned, unsigned),				  double *timing){	struct timeval start;	struct timeval end;	int ret;	gettimeofday(&start, NULL);	/* create all the DAG nodes */	unsigned i,j,k;	for (k = 0; k < nblocks; k++)	{	     ret = create_task_11_pivot(dataAp, nblocks, k, piv_description, get_block);	     if (ret == -ENODEV) return ret;		for (i = 0; i < nblocks; i++)		{			if (i != k)			{			     ret = create_task_pivot(dataAp, nblocks, piv_description, k, i, get_block);			     if (ret == -ENODEV) return ret;			}		}		for (i = k+1; i<nblocks; i++)		{		     ret = create_task_12(dataAp, nblocks, k, i, get_block);		     if (ret == -ENODEV) return ret;		     ret = create_task_21(dataAp, nblocks, k, i, get_block);		     if (ret == -ENODEV) return ret;		}		for (i = k+1; i<nblocks; i++)		     for (j = k+1; j<nblocks; j++)		     {			  ret = create_task_22(dataAp, nblocks, k, i, j, get_block);			  if (ret == -ENODEV) return ret;		     }	}	/* stall the application until the end of computations */	starpu_task_wait_for_all();	gettimeofday(&end, NULL);	*timing = (double)((end.tv_sec - start.tv_sec)*1000000 + (end.tv_usec - start.tv_usec));	return 0;}starpu_data_handle_t get_block_with_striding(starpu_data_handle_t *dataAp,			unsigned nblocks __attribute__((unused)), unsigned j, unsigned i){	/* we use filters */	return starpu_data_get_sub_data(*dataAp, 2, j, i);}int STARPU_LU(lu_decomposition_pivot)(TYPE *matA, unsigned *ipiv, unsigned size, unsigned ld, unsigned nblocks){	starpu_data_handle_t dataA;	/* monitor and partition the A matrix into blocks :	 * one block is now determined by 2 unsigned (i,j) */	starpu_matrix_data_register(&dataA, 0, (uintptr_t)matA, ld, size, size, sizeof(TYPE));	struct starpu_data_filter f =	{		.filter_func = starpu_vertical_block_filter_func,		.nchildren = nblocks	};	struct starpu_data_filter f2 =	{		.filter_func = starpu_block_filter_func,		.nchildren = nblocks	};	starpu_data_map_filters(dataA, 2, &f, &f2);	unsigned i;	for (i = 0; i < size; i++)		ipiv[i] = i;	struct piv_s *piv_description = malloc(nblocks*sizeof(struct piv_s));	unsigned block;	for (block = 0; block < nblocks; block++)	{		piv_description[block].piv = ipiv;		piv_description[block].first = block * (size / nblocks);		piv_description[block].last = (block + 1) * (size / nblocks);	}	double timing;	int ret = dw_codelet_facto_pivot(&dataA, piv_description, nblocks, get_block_with_striding, &timing);	FPRINTF(stderr, "Computation took (in ms)\n");	FPRINTF(stderr, "%2.2f\n", timing/1000);	unsigned n = starpu_matrix_get_nx(dataA);	double flop = (2.0f*n*n*n)/3.0f;	FPRINTF(stderr, "Synthetic GFlops : %2.2f\n", (flop/timing/1000.0f));	/* gather all the data */	starpu_data_unpartition(dataA, 0);	starpu_data_unregister(dataA);	free(piv_description);	return ret;}starpu_data_handle_t get_block_with_no_striding(starpu_data_handle_t *dataAp, unsigned nblocks, unsigned j, unsigned i){	/* dataAp is an array of data handle */	return dataAp[i+j*nblocks];}int STARPU_LU(lu_decomposition_pivot_no_stride)(TYPE **matA, unsigned *ipiv, unsigned size, unsigned ld, unsigned nblocks){	starpu_data_handle_t *dataAp = malloc(nblocks*nblocks*sizeof(starpu_data_handle_t));	/* monitor and partition the A matrix into blocks :	 * one block is now determined by 2 unsigned (i,j) */	unsigned bi, bj;	for (bj = 0; bj < nblocks; bj++)	for (bi = 0; bi < nblocks; bi++)	{		starpu_matrix_data_register(&dataAp[bi+nblocks*bj], 0,			(uintptr_t)matA[bi+nblocks*bj], size/nblocks,			size/nblocks, size/nblocks, sizeof(TYPE));	}	unsigned i;	for (i = 0; i < size; i++)		ipiv[i] = i;	struct piv_s *piv_description = malloc(nblocks*sizeof(struct piv_s));	unsigned block;	for (block = 0; block < nblocks; block++)	{		piv_description[block].piv = ipiv;		piv_description[block].first = block * (size / nblocks);		piv_description[block].last = (block + 1) * (size / nblocks);	}	double timing;	int ret = dw_codelet_facto_pivot(dataAp, piv_description, nblocks, get_block_with_no_striding, &timing);	FPRINTF(stderr, "Computation took (in ms)\n");	FPRINTF(stderr, "%2.2f\n", timing/1000);	unsigned n = starpu_matrix_get_nx(dataAp[0])*nblocks;	double flop = (2.0f*n*n*n)/3.0f;	FPRINTF(stderr, "Synthetic GFlops : %2.2f\n", (flop/timing/1000.0f));	for (bj = 0; bj < nblocks; bj++)	for (bi = 0; bi < nblocks; bi++)	{		starpu_data_unregister(dataAp[bi+nblocks*bj]);	}	free(dataAp);	return ret;}
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