atl_ptgescal.c

来自「基于Blas CLapck的.用过的人知道是干啥的」· C语言 代码 · 共 209 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, ptgescal0 )( PT_FUN_ARG_T ARGS ){/* * .. Local Variables .. */   PT_TREE_T                  root = (PT_TREE_T)(ARGS);   PT_GESCAL_ARGS_T           * arg;/* .. * .. Executable Statements .. * */   ATL_wait_tree( root );   arg = (PT_GESCAL_ARGS_T *)(root->arg);#define  _PT_M         (arg->m)#define  _PT_N         (arg->n)#ifdef TREAL#define  _PT_ALPHA     (SCALAR)(*((TYPE *)(arg->al)))#else#define  _PT_ALPHA     (SCALAR)(arg->al)#endif#define  _PT_A         ((TYPE *)(arg->a))#define  _PT_LDA       (arg->la)   Mjoin( PATL, gescal )( _PT_M, _PT_N, _PT_ALPHA, _PT_A, _PT_LDA );   ATL_signal_tree( root );   return( NULL );/* * End of Mjoin( PATL, ptgescal0 ) */}void Mjoin( PATL, ptgescal )(   const int                  M,   const int                  N,   const SCALAR               ALPHA,   TYPE                       * A,   const int                  LDA){/* * Purpose * ======= * * Mjoin( PATL, ptgescal ) scales an 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, ptgescal_nt )( ATL_NTHREADS, &attr, M, N, alpha,                                      (void *)(A), LDA );   ATL_join_tree  ( root );   ATL_free_tree  ( root );   ATL_thread_exit( &attr );/* * End of Mjoin( PATL, ptgescal ) */}PT_TREE_T Mjoin( PATL, ptgescal_nt )(   const unsigned int         THREADS,   pthread_attr_t             * ATTR,   const int                  M,   const int                  N,   const void                 * ALPHA,   void                       * A,   const int                  LDA){/* * Purpose * ======= * * Mjoin( PATL, ptgescal_nt ) scales an 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;   unsigned int               nthreads;   int                        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, gescal )( M, N, alpha, (TYPE *)(A), LDA ); return( root ); }   nbm1  = ( nb = Mjoin( PATL, GetNB )() ) - 1;   tblks = (double)( (M+nbm1) / nb ) * (double)( (N+nbm1) / nb );/* * When one or more dimension is less than nb, do not thread. */   if( ( M <= nb ) || ( N <= nb ) || ( THREADS <= 1 ) ||       ( tblks <= (double)(ATL_XOVER_MI_DEFAULT) ) )   { Mjoin( PATL, gescal )( M, N, alpha, (TYPE *)(A), LDA ); return( root ); }   if( tblks >= (double)(THREADS) ) { nthreads = THREADS; }   else    { nthreads = (unsigned int)floor( tblks + 0.5 ); }#ifdef TREAL   type.size = sizeof( TYPE    ); type.fun = Mjoin( PATL, ptgescal0 );#else   type.size = sizeof( TYPE[2] ); type.fun = Mjoin( PATL, ptgescal0 );#endif   root = ATL_Sgescal( &type, 0, nthreads, ATTR, nb, M, N, ALPHA, A, LDA );   ATL_thread_tree( root, ATTR );   return( root );/* * End of Mjoin( PATL, ptgescal_nt ) */}

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