| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227228229230231232233234235236237238239240241242243244245246247248249250251252253254255256257258259260261262263264265266267268269270271272273274275276277278279280281282283284285286287288289290291292293294295296297298299300301302303304305306307308309310311312313314315316317318319320321322323324325326327328329330331332333334335336337338339340341342343344345346347348349350351352353354355356357358359360361362363364365366367368369370371372373374375376377378379380381382383384385386387388389390391392393394 | /* StarPU --- Runtime system for heterogeneous multicore architectures. * * Copyright (C) 2010  Université de Bordeaux * 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 <starpu.h>#include <math.h>#include "pxlu.h"/* *	Various useful functions */static double frobenius_norm(TYPE *v, unsigned n){	double sum2 = 0.0;	/* compute sqrt(Sum(|x|^2)) */	unsigned i,j;	for (j = 0; j < n; j++)		for (i = 0; i < n; i++)		{			double a = fabsl((double)v[i+n*j]);			sum2 += a*a;		}	return sqrt(sum2);}void STARPU_PLU(display_data_content)(TYPE *data, unsigned blocksize){	if (!STARPU_PLU(display_flag)())		return;	fprintf(stderr, "DISPLAY BLOCK\n");	unsigned i, j;	for (j = 0; j < blocksize; j++)	{		for (i = 0; i < blocksize; i++)		{			fprintf(stderr, "%f ", data[j+i*blocksize]);		}		fprintf(stderr, "\n");	}	fprintf(stderr, "****\n");}void STARPU_PLU(extract_upper)(unsigned block_size, TYPE *inblock, TYPE *outblock){	unsigned li, lj;	for (lj = 0; lj < block_size; lj++)	{		/* Upper block diag is 1 */		outblock[lj*(block_size + 1)] = (TYPE)1.0;		for (li = lj + 1; li < block_size; li++)		{			outblock[lj + li*block_size] = inblock[lj + li*block_size];		}	}}void STARPU_PLU(extract_lower)(unsigned block_size, TYPE *inblock, TYPE *outblock){	unsigned li, lj;	for (lj = 0; lj < block_size; lj++)	{		for (li = 0; li <= lj; li++)		{			outblock[lj + li*block_size] = inblock[lj + li*block_size];		}	}}/* *	Compute Ax = y */static void STARPU_PLU(compute_ax_block)(unsigned block_size, TYPE *block_data, TYPE *sub_x, TYPE *sub_y){	fprintf(stderr, "block data %p sub x %p sub y %p\n", block_data, sub_x, sub_y);	CPU_GEMV("N", block_size, block_size, 1.0, block_data, block_size, sub_x, 1, 1.0, sub_y, 1);}static void STARPU_PLU(compute_ax_block_upper)(unsigned size, unsigned nblocks,				 TYPE *block_data, TYPE *sub_x, TYPE *sub_y){	unsigned block_size = size/nblocks;	/* Take a copy of the upper part of the diagonal block */	TYPE *upper_block_copy = calloc((block_size)*(block_size), sizeof(TYPE));	STARPU_PLU(extract_upper)(block_size, block_data, upper_block_copy);	STARPU_PLU(compute_ax_block)(block_size, upper_block_copy, sub_x, sub_y);	free(upper_block_copy);}static void STARPU_PLU(compute_ax_block_lower)(unsigned size, unsigned nblocks,				 TYPE *block_data, TYPE *sub_x, TYPE *sub_y){	unsigned block_size = size/nblocks;	/* Take a copy of the upper part of the diagonal block */	TYPE *lower_block_copy = calloc((block_size)*(block_size), sizeof(TYPE));	STARPU_PLU(extract_lower)(block_size, block_data, lower_block_copy);	STARPU_PLU(compute_ax_block)(size/nblocks, lower_block_copy, sub_x, sub_y);	free(lower_block_copy);}void STARPU_PLU(compute_lux)(unsigned size, TYPE *x, TYPE *y, unsigned nblocks, int rank){	/* Create temporary buffers where all MPI processes are going to	 * compute Ui x = yi where Ai is the matrix containing the blocks of U	 * affected to process i, and 0 everywhere else. We then have y as the	 * sum of all yi. */	TYPE *yi = calloc(size, sizeof(TYPE));	fprintf(stderr, "Compute LU\n");	unsigned block_size = size/nblocks;	/* Compute UiX = Yi */	unsigned long i,j;	for (j = 0; j < nblocks; j++)	{		if (get_block_rank(j, j) == rank)		{			TYPE *block_data = STARPU_PLU(get_block)(j, j);			TYPE *sub_x = &x[j*(block_size)];			TYPE *sub_yi = &yi[j*(block_size)];			STARPU_PLU(compute_ax_block_upper)(size, nblocks, block_data, sub_x, sub_yi);		}		for (i = j + 1; i < nblocks; i++)		{			if (get_block_rank(i, j) == rank)			{				/* That block belongs to the current MPI process */				TYPE *block_data = STARPU_PLU(get_block)(i, j);				TYPE *sub_x = &x[i*(block_size)];				TYPE *sub_yi = &yi[j*(block_size)];				STARPU_PLU(compute_ax_block)(size/nblocks, block_data, sub_x, sub_yi);			}		}	}	/* Grab Sum Yi in X */	MPI_Reduce(yi, x, size, MPI_TYPE, MPI_SUM, 0, MPI_COMM_WORLD);	memset(yi, 0, size*sizeof(TYPE));//	unsigned ind;//	if (rank == 0)//	{//		fprintf(stderr, "INTERMEDIATE\n");//		for (ind = 0; ind < STARPU_MIN(10, size); ind++)//		{//			fprintf(stderr, "x[%d] = %f\n", ind, (float)x[ind]);//		}//		fprintf(stderr, "****\n");//	}	/* Everyone needs x */	int bcst_ret;	bcst_ret = MPI_Bcast(&x, size, MPI_TYPE, 0, MPI_COMM_WORLD);	STARPU_ASSERT(bcst_ret == MPI_SUCCESS);	/* Compute LiX = Yi (with X = UX) */	for (j = 0; j < nblocks; j++)	{		if (j > 0)		for (i = 0; i < j; i++)		{			if (get_block_rank(i, j) == rank)			{				/* That block belongs to the current MPI process */				TYPE *block_data = STARPU_PLU(get_block)(i, j);				TYPE *sub_x = &x[i*(block_size)];				TYPE *sub_yi = &yi[j*(block_size)];				STARPU_PLU(compute_ax_block)(size/nblocks, block_data, sub_x, sub_yi);			}		}		if (get_block_rank(j, j) == rank)		{			TYPE *block_data = STARPU_PLU(get_block)(j, j);			TYPE *sub_x = &x[j*(block_size)];			TYPE *sub_yi = &yi[j*(block_size)];			STARPU_PLU(compute_ax_block_lower)(size, nblocks, block_data, sub_x, sub_yi);		}	}	/* Grab Sum Yi in Y */	MPI_Reduce(yi, y, size, MPI_TYPE, MPI_SUM, 0, MPI_COMM_WORLD);	free(yi);}/* *	Allocate a contiguous matrix on node 0 and fill it with the whole *	content of the matrix distributed accross all nodes. */TYPE *STARPU_PLU(reconstruct_matrix)(unsigned size, unsigned nblocks){//	fprintf(stderr, "RECONSTRUCT MATRIX size %d nblocks %d\n", size, nblocks);	TYPE *bigmatrix = calloc(size*size, sizeof(TYPE));	unsigned block_size = size/nblocks;	int rank;	MPI_Comm_rank(MPI_COMM_WORLD, &rank);	unsigned bi, bj;	for (bj = 0; bj < nblocks; bj++)	for (bi = 0; bi < nblocks; bi++)	{		TYPE *block;		int block_rank = get_block_rank(bi, bj);		if (block_rank == 0)		{			block = STARPU_PLU(get_block)(bi, bj);		}		else {			MPI_Status status;			if (rank == 0)			{				block = calloc(block_size*block_size, sizeof(TYPE));				int ret = MPI_Recv(block, block_size*block_size, MPI_TYPE, block_rank, 0, MPI_COMM_WORLD, &status);				STARPU_ASSERT(ret == MPI_SUCCESS);			}			else if (rank == block_rank) {				block = STARPU_PLU(get_block)(bi, bj);				int ret = MPI_Send(block, block_size*block_size, MPI_TYPE, 0, 0, MPI_COMM_WORLD);				STARPU_ASSERT(ret == MPI_SUCCESS);			}		}		if (rank == 0)		{			unsigned j, i;			for (j = 0; j < block_size; j++)			for (i = 0; i < block_size; i++)			{				bigmatrix[(j + bj*block_size)+(i+bi*block_size)*size] =									block[j+i*block_size];			}			if (get_block_rank(bi, bj) != 0)				free(block);		}	}	return bigmatrix;}/* x and y must be valid (at least) on 0 */void STARPU_PLU(compute_ax)(unsigned size, TYPE *x, TYPE *y, unsigned nblocks, int rank){	unsigned block_size = size/nblocks;	/* Send x to everyone */	int bcst_ret;	bcst_ret = MPI_Bcast(&x, size, MPI_TYPE, 0, MPI_COMM_WORLD);	STARPU_ASSERT(bcst_ret == MPI_SUCCESS);	/* Create temporary buffers where all MPI processes are going to	 * compute Ai x = yi where Ai is the matrix containing the blocks of A	 * affected to process i, and 0 everywhere else. We then have y as the	 * sum of all yi. */	TYPE *yi = calloc(size, sizeof(TYPE));	/* Compute Aix = yi */	unsigned long i,j;	for (j = 0; j < nblocks; j++)	{		for (i = 0; i < nblocks; i++)		{			if (get_block_rank(i, j) == rank)			{				/* That block belongs to the current MPI process */				TYPE *block_data = STARPU_PLU(get_block)(i, j);				TYPE *sub_x = &x[i*block_size];				TYPE *sub_yi = &yi[j*block_size];				STARPU_PLU(compute_ax_block)(block_size, block_data, sub_x, sub_yi);			}		}	}	/* Compute the Sum of all yi = y */	MPI_Reduce(yi, y, size, MPI_TYPE, MPI_SUM, 0, MPI_COMM_WORLD);	fprintf(stderr, "RANK %d - FOO 1 y[0] %f\n", rank, y[0]);	free(yi);}void STARPU_PLU(compute_lu_matrix)(unsigned size, unsigned nblocks, TYPE *Asaved){	TYPE *all_r = STARPU_PLU(reconstruct_matrix)(size, nblocks);	unsigned display = STARPU_PLU(display_flag)();	int rank;	MPI_Comm_rank(MPI_COMM_WORLD, &rank);	if (rank == 0)	{		TYPE *L = malloc((size_t)size*size*sizeof(TYPE));		TYPE *U = malloc((size_t)size*size*sizeof(TYPE));		memset(L, 0, size*size*sizeof(TYPE));		memset(U, 0, size*size*sizeof(TYPE));		/* only keep the lower part */		unsigned i, j;		for (j = 0; j < size; j++)		{			for (i = 0; i < j; i++)			{				L[j+i*size] = all_r[j+i*size];			}			/* diag i = j */			L[j+j*size] = all_r[j+j*size];			U[j+j*size] = 1.0;			for (i = j+1; i < size; i++)			{				U[j+i*size] = all_r[j+i*size];			}		}		STARPU_PLU(display_data_content)(L, size);		STARPU_PLU(display_data_content)(U, size);		/* now A_err = L, compute L*U */		CPU_TRMM("R", "U", "N", "U", size, size, 1.0f, U, size, L, size);		if (display)			fprintf(stderr, "\nLU\n");		STARPU_PLU(display_data_content)(L, size);		/* compute "LU - A" in L*/		CPU_AXPY(size*size, -1.0, Asaved, 1, L, 1);		TYPE err = CPU_ASUM(size*size, L, 1);		int max = CPU_IAMAX(size*size, L, 1);		if (display)			fprintf(stderr, "DISPLAY ERROR\n");		STARPU_PLU(display_data_content)(L, size);		fprintf(stderr, "(A - LU) Avg error : %e\n", err/(size*size));		fprintf(stderr, "(A - LU) Max error : %e\n", L[max]);		double residual = frobenius_norm(L, size);		double matnorm = frobenius_norm(Asaved, size);		fprintf(stderr, "||A-LU|| / (||A||*N) : %e\n", residual/(matnorm*size));	}}
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