atl_pttrscal.c
来自「基于Blas CLapck的.用过的人知道是干啥的」· C语言 代码 · 共 244 行
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/* --------------------------------------------------------------------- * * -- Automatically Tuned Linear Algebra Software (ATLAS) * (C) Copyright 2000 All Rights Reserved * * -- ATLAS routine -- Version 3.2 -- December 25, 2000 * * Author : Antoine P. Petitet * Originally developed at the University of Tennessee, * Innovative Computing Laboratory, Knoxville TN, 37996-1301, USA. * * --------------------------------------------------------------------- * * -- Copyright notice and Licensing terms: * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions * are met: * * 1. Redistributions of source code must retain the above copyright * notice, this list of conditions and the following disclaimer. * 2. Redistributions in binary form must reproduce the above copyright * notice, this list of conditions, and the following disclaimer in * the documentation and/or other materials provided with the distri- * bution. * 3. The name of the University, the ATLAS group, or the names of its * contributors may not be used to endorse or promote products deri- * ved from this software without specific written permission. * * -- Disclaimer: * * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS * ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR * A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE UNIVERSITY * OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPE- * CIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED * TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, * OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEO- * RY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (IN- * CLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF * THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * --------------------------------------------------------------------- *//* * Include files */#include "atlas_ptmisc.h"PT_FUN_ARG_T Mjoin( PATL, pttzscal0 )( PT_FUN_ARG_T ARGS ){/* * .. Local Variables .. */ PT_TREE_T root = (PT_TREE_T)(ARGS); PT_TZSCAL_ARGS_T * arg; int k, lda, m, n;/* .. * .. Executable Statements .. * */ ATL_wait_tree( root ); arg = (PT_TZSCAL_ARGS_T *)(root->arg);#ifdef TREAL#define _PT_ALPHA (SCALAR)(*((TYPE *)(arg->al)))#else#define _PT_ALPHA (SCALAR)(arg->al)#endif#define _PT_A ((TYPE *)(arg->a)) k = arg->k; lda = arg->la; m = arg->m; n = arg->n; if( arg->up == AtlasLower ) { Mjoin( PATL, gescal )( m + k, n, _PT_ALPHA, _PT_A, lda ); Mjoin( PATL, trscal )( AtlasLower, m + k, k, _PT_ALPHA, _PT_A + ((n * lda) SHIFT), lda ); } else { Mjoin( PATL, gescal )( m, n + k, _PT_ALPHA, _PT_A, lda ); Mjoin( PATL, trscal )( AtlasUpper, k, n + k, _PT_ALPHA, _PT_A + (m SHIFT), lda ); } ATL_signal_tree( root ); return( NULL );/* * End of Mjoin( PATL, pttzscal0 ) */}void Mjoin( PATL, pttrscal )( const enum ATLAS_UPLO UPLO, const int M, const int N, const SCALAR ALPHA, TYPE * A, const int LDA){/* * Purpose * ======= * * Mjoin( PATL, pttrscal ) scales a trapezoidal m-by-n matrix A by the * scalar alpha. * * This is a multi-threaded version of the algorithm. * * --------------------------------------------------------------------- *//* * .. Local Variables .. */ pthread_attr_t attr; PT_TREE_T root = NULL;#ifdef TREAL TYPE alpha0 = (TYPE)(ALPHA);#endif void * alpha;/* .. * .. Executable Statements .. * */ if( ( M <= 0 ) || ( N <= 0 ) || SCALAR_IS_ONE( ALPHA ) ) return;#ifdef TREAL alpha = (void *)(&alpha0);#else alpha = (void *)(ALPHA);#endif ATL_thread_init( &attr ); root = Mjoin( PATL, pttrscal_nt )( ATL_NTHREADS, &attr, UPLO, M, N, alpha, (void *)(A), LDA ); ATL_join_tree ( root ); ATL_free_tree ( root ); ATL_thread_exit( &attr );/* * End of Mjoin( PATL, pttrscal ) */}PT_TREE_T Mjoin( PATL, pttrscal_nt )( const unsigned int THREADS, pthread_attr_t * ATTR, const enum ATLAS_UPLO UPLO, const int M, const int N, const void * ALPHA, void * A, const int LDA){/* * Purpose * ======= * * Mjoin( PATL, pttrscal_nt ) scales a trapezoidal m-by-n matrix A by the * scalar alpha. * * This is a multi-threaded version of the algorithm. * * --------------------------------------------------------------------- *//* * .. Local Variables .. */ PT_TREE_T root = NULL; PT_MISC_TYPE_T type;#ifdef TREAL TYPE alpha;#else TYPE alpha[2];#endif double tblks, tmnblks; unsigned int nthreads; int mn, nb, nbm1;/* .. * .. Executable Statements .. * */#ifdef TREAL alpha = *((TYPE *)(ALPHA));#else alpha[0] = ((TYPE *)(ALPHA))[0]; alpha[1] = ((TYPE *)(ALPHA))[1];#endif/* * Make sure we don't thread this for the time being */ if( THREADS >= 1 ) { Mjoin( PATL, trscal )( UPLO, M, N, alpha, (TYPE *)(A), LDA ); return( root ); } nbm1 = ( nb = Mjoin( PATL, GetNB )() ) - 1; mn = Mmin( M, N ); tmnblks = (double)( (mn+nbm1) / nb ); tblks = tmnblks * tmnblks; if( UPLO == AtlasLower ) { tblks += (double)( (N+nbm1) / nb ) * (double)( (M-mn+nbm1) / nb ); } else { tblks += (double)( (M+nbm1) / nb ) * (double)( (N-mn+nbm1) / nb ); } if( ( tblks <= (double)(ATL_XOVER_MI_DEFAULT) ) || ( THREADS <= 1 ) ) { Mjoin( PATL, trscal )( UPLO, M, N, alpha, (TYPE *)(A), LDA ); return( root ); } if( tblks >= (double)(THREADS) ) { nthreads = ATL_NTHREADS; } else { nthreads = (unsigned int)floor( tblks + 0.5 ); }#ifdef TREAL type.size = sizeof( TYPE ); type.fun = Mjoin( PATL, pttzscal0 );#else type.size = sizeof( TYPE[2] ); type.fun = Mjoin( PATL, pttzscal0 );#endif if( UPLO == AtlasLower ) { root = ATL_Stzscal( &type, 0, nthreads, ATTR, nb, UPLO, M - mn, 0, mn, ALPHA, A, LDA ); } else { root = ATL_Stzscal( &type, 0, nthreads, ATTR, nb, UPLO, 0, N - mn, mn, ALPHA, A, LDA ); } ATL_thread_tree( root, ATTR ); return( root );/* * End of Mjoin( PATL, pttrscal_nt ) */}
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