root / src / pfact / HPL_pdpancrN.c @ 9
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/*
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* -- High Performance Computing Linpack Benchmark (HPL)
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* HPL - 2.0 - September 10, 2008
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* Antoine P. Petitet
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* University of Tennessee, Knoxville
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* Innovative Computing Laboratory
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* (C) Copyright 2000-2008 All Rights Reserved
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*
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* -- Copyright notice and Licensing terms:
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions
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* are met:
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*
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* 1. Redistributions of source code must retain the above copyright
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* notice, this list of conditions and the following disclaimer.
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*
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* 2. Redistributions in binary form must reproduce the above copyright
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* notice, this list of conditions, and the following disclaimer in the
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* documentation and/or other materials provided with the distribution.
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*
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* 3. All advertising materials mentioning features or use of this
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* software must display the following acknowledgement:
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* This product includes software developed at the University of
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* Tennessee, Knoxville, Innovative Computing Laboratory.
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*
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* 4. The name of the University, the name of the Laboratory, or the
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* names of its contributors may not be used to endorse or promote
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* products derived from this software without specific written
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* permission.
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*
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* -- Disclaimer:
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
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* ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
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* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
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* A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE UNIVERSITY
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* OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
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* SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
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* LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
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* DATA OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
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* THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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* ---------------------------------------------------------------------
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*/
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/*
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* Include files
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*/
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#include "hpl.h" |
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#ifdef STDC_HEADERS
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void HPL_pdpancrN
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( |
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HPL_T_panel * PANEL, |
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const int M, |
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const int N, |
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const int ICOFF, |
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double * WORK
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) |
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#else
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void HPL_pdpancrN
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( PANEL, M, N, ICOFF, WORK ) |
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HPL_T_panel * PANEL; |
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const int M; |
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const int N; |
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const int ICOFF; |
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double * WORK;
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#endif
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{ |
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/*
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* Purpose
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* =======
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*
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* HPL_pdpancrN factorizes a panel of columns that is a sub-array of a
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* larger one-dimensional panel A using the Crout variant of the usual
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* one-dimensional algorithm. The lower triangular N0-by-N0 upper block
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* of the panel is stored in no-transpose form (i.e. just like the input
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* matrix itself).
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*
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* Bi-directional exchange is used to perform the swap::broadcast
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* operations at once for one column in the panel. This results in a
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* lower number of slightly larger messages than usual. On P processes
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* and assuming bi-directional links, the running time of this function
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* can be approximated by (when N is equal to N0):
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*
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* N0 * log_2( P ) * ( lat + ( 2*N0 + 4 ) / bdwth ) +
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* N0^2 * ( M - N0/3 ) * gam2-3
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*
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* where M is the local number of rows of the panel, lat and bdwth are
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* the latency and bandwidth of the network for double precision real
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* words, and gam2-3 is an estimate of the Level 2 and Level 3 BLAS
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* rate of execution. The recursive algorithm allows indeed to almost
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* achieve Level 3 BLAS performance in the panel factorization. On a
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* large number of modern machines, this operation is however latency
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* bound, meaning that its cost can be estimated by only the latency
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* portion N0 * log_2(P) * lat. Mono-directional links will double this
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* communication cost.
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*
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* Note that one iteration of the the main loop is unrolled. The local
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* computation of the absolute value max of the next column is performed
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* just after its update by the current column. This allows to bring the
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* current column only once through cache at each step. The current
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* implementation does not perform any blocking for this sequence of
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* BLAS operations, however the design allows for plugging in an optimal
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* (machine-specific) specialized BLAS-like kernel. This idea has been
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* suggested to us by Fred Gustavson, IBM T.J. Watson Research Center.
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*
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* Arguments
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* =========
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*
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* PANEL (local input/output) HPL_T_panel *
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* On entry, PANEL points to the data structure containing the
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* panel information.
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*
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* M (local input) const int
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* On entry, M specifies the local number of rows of sub(A).
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*
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* N (local input) const int
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* On entry, N specifies the local number of columns of sub(A).
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*
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* ICOFF (global input) const int
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* On entry, ICOFF specifies the row and column offset of sub(A)
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* in A.
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*
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* WORK (local workspace) double *
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* On entry, WORK is a workarray of size at least 2*(4+2*N0).
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*
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* ---------------------------------------------------------------------
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*/
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/*
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* .. Local Variables ..
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*/
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double * A, * L1, * L1ptr;
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#ifdef HPL_CALL_VSIPL
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vsip_mview_d * Av0, * Av1, * Yv1, * Xv0, * Xv1; |
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#endif
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int Mm1, Nm1, curr, ii, iip1, jj, kk=0, lda, |
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m=M, n0; |
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/* ..
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* .. Executable Statements ..
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*/
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#ifdef HPL_DETAILED_TIMING
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HPL_ptimer( HPL_TIMING_PFACT ); |
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#endif
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A = PANEL->A; lda = PANEL->lda; |
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L1 = PANEL->L1; n0 = PANEL->jb; |
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curr = (int)( PANEL->grid->myrow == PANEL->prow );
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Nm1 = N - 1; jj = ICOFF;
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if( curr != 0 ) { ii = ICOFF; iip1 = ii+1; Mm1 = m-1; } |
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else { ii = 0; iip1 = ii; Mm1 = m; } |
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#ifdef HPL_CALL_VSIPL
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/*
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* Admit the blocks
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*/
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(void) vsip_blockadmit_d( PANEL->Ablock, VSIP_TRUE );
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(void) vsip_blockadmit_d( PANEL->L1block, VSIP_TRUE );
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/*
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* Create the matrix views
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*/
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Av0 = vsip_mbind_d( PANEL->Ablock, 0, 1, lda, lda, PANEL->pmat->nq ); |
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Xv0 = vsip_mbind_d( PANEL->L1block, 0, 1, PANEL->jb, PANEL->jb, PANEL->jb ); |
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#endif
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/*
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* Find local absolute value max in first column - initialize WORK[0:3]
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*/
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HPL_dlocmax( PANEL, m, ii, jj, WORK ); |
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while( Nm1 > 0 ) |
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{ |
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/*
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* Swap and broadcast the current row
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*/
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HPL_pdmxswp( PANEL, m, ii, jj, WORK ); |
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HPL_dlocswpN( PANEL, ii, jj, WORK ); |
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/*
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* Compute row (column) jj of L1
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*/
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if( kk > 0 ) |
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{ |
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L1ptr = Mptr( L1, jj, jj+1, n0 );
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#ifdef HPL_CALL_VSIPL
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/*
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* Create the matrix subviews
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*/
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Av1 = vsip_msubview_d( Xv0, ICOFF, jj+1, kk, Nm1 );
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Xv1 = vsip_msubview_d( Xv0, jj, ICOFF, 1, kk );
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Yv1 = vsip_msubview_d( Xv0, jj, jj+1, 1, Nm1 ); |
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vsip_gemp_d( -HPL_rone, Xv1, VSIP_MAT_NTRANS, Av1, VSIP_MAT_NTRANS, |
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HPL_rone, Yv1 ); |
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/*
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* Destroy the matrix subviews
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*/
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(void) vsip_mdestroy_d( Yv1 );
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(void) vsip_mdestroy_d( Xv1 );
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(void) vsip_mdestroy_d( Av1 );
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#else
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HPL_dgemv( HplColumnMajor, HplTrans, kk, Nm1, -HPL_rone, |
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Mptr( L1, ICOFF, jj+1, n0 ), n0, Mptr( L1, jj,
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ICOFF, n0 ), n0, HPL_rone, L1ptr, n0 ); |
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#endif
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if( curr != 0 ) |
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HPL_dcopy( Nm1, L1ptr, n0, Mptr( A, ii, jj+1, lda ), lda );
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} |
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/*
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* Scale current column by its absolute value max entry - Update dia-
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* diagonal and subdiagonal elements in column A(iip1:iip1+Mm1-1, jj+1)
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* and find local absolute value max in that column (Only one pass
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* through cache for each current column). This sequence of operations
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* could benefit from a specialized blocked implementation.
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*/
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if( WORK[0] != HPL_rzero ) |
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HPL_dscal( Mm1, HPL_rone / WORK[0], Mptr( A, iip1, jj, lda ), 1 ); |
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#ifdef HPL_CALL_VSIPL
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/*
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* Create the matrix subviews
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*/
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Av1 = vsip_msubview_d( Av0, PANEL->ii+iip1, PANEL->jj+ICOFF, Mm1, kk+1 );
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Xv1 = vsip_msubview_d( Xv0, ICOFF, jj+1, kk+1, 1 ); |
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Yv1 = vsip_msubview_d( Av0, PANEL->ii+iip1, PANEL->jj+jj+1, Mm1, 1 ); |
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vsip_gemp_d( -HPL_rone, Av1, VSIP_MAT_NTRANS, Xv1, VSIP_MAT_NTRANS, |
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HPL_rone, Yv1 ); |
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/*
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* Destroy the matrix subviews
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*/
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vsip_mdestroy_d( Yv1 ); |
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vsip_mdestroy_d( Xv1 ); |
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vsip_mdestroy_d( Av1 ); |
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#else
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HPL_dgemv( HplColumnMajor, HplNoTrans, Mm1, kk+1, -HPL_rone,
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Mptr( A, iip1, ICOFF, lda ), lda, Mptr( L1, ICOFF, |
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jj+1, n0 ), 1, HPL_rone, Mptr( A, iip1, jj+1, lda ), |
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1 );
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#endif
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HPL_dlocmax( PANEL, Mm1, iip1, jj+1, WORK );
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if( curr != 0 ) { ii = iip1; iip1++; m = Mm1; Mm1--; } |
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Nm1--; jj++; kk++; |
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} |
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/*
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* Swap and broadcast last row - Scale last column by its absolute value
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* max entry
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*/
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HPL_pdmxswp( PANEL, m, ii, jj, WORK ); |
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HPL_dlocswpN( PANEL, ii, jj, WORK ); |
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if( WORK[0] != HPL_rzero ) |
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HPL_dscal( Mm1, HPL_rone / WORK[0], Mptr( A, iip1, jj, lda ), 1 ); |
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#ifdef HPL_CALL_VSIPL
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/*
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* Release the blocks
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*/
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(void) vsip_blockrelease_d( vsip_mgetblock_d( Xv0 ), VSIP_TRUE );
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(void) vsip_blockrelease_d( vsip_mgetblock_d( Av0 ), VSIP_TRUE );
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/*
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* Destroy the matrix views
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*/
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(void) vsip_mdestroy_d( Xv0 );
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(void) vsip_mdestroy_d( Av0 );
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#endif
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#ifdef HPL_DETAILED_TIMING
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HPL_ptimer( HPL_TIMING_PFACT ); |
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#endif
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/*
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* End of HPL_pdpancrN
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*/
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} |