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Symbolic and numeric update on a whole panel
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@ -192,7 +192,7 @@ void SparseLU::analyzePattern(const MatrixType& mat)
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* the estimated amount of space needed, plus A->ncol.
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* the estimated amount of space needed, plus A->ncol.
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*/
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*/
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template <typename MatrixType>
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template <typename MatrixType>
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int SparseLU::factorize(const MatrixType& matrix)
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void SparseLU::factorize(const MatrixType& matrix)
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{
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{
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// Allocate storage common to the factor routines
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// Allocate storage common to the factor routines
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@ -256,7 +256,6 @@ int SparseLU::factorize(const MatrixType& matrix)
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register int jcol,kcol;
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register int jcol,kcol;
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int min_mn = std::min(m,n);
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int min_mn = std::min(m,n);
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VectorXi panel_histo(n);
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VectorXi panel_histo(n);
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bool ok = true;
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Index nextu, nextlu, jsupno, fsupc, new_next;
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Index nextu, nextlu, jsupno, fsupc, new_next;
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int pivrow; // Pivotal row number in the original row matrix
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int pivrow; // Pivotal row number in the original row matrix
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int nseg1; // Number of segments in U-column above panel row jcol
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int nseg1; // Number of segments in U-column above panel row jcol
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@ -272,8 +271,9 @@ int SparseLU::factorize(const MatrixType& matrix)
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info = LU_snode_dfs(jcol, kcol, m_mat.innerIndexPtr(), m_mat.outerIndexPtr(), xprune, marker);
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info = LU_snode_dfs(jcol, kcol, m_mat.innerIndexPtr(), m_mat.outerIndexPtr(), xprune, marker);
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if ( !info )
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if ( !info )
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{
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{
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ok = false;
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m_info = NumericalIssue;
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break;
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m_factorizationIsOk = false;
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return;
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}
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}
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nextu = xusub(jcol); //starting location of column jcol in ucol
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nextu = xusub(jcol); //starting location of column jcol in ucol
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nextlu = xlusup(jcol); //Starting location of column jcol in lusup (rectangular supernodes)
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nextlu = xlusup(jcol); //Starting location of column jcol in lusup (rectangular supernodes)
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@ -322,17 +322,36 @@ int SparseLU::factorize(const MatrixType& matrix)
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LU_panel_dfs(m, panel_size, jcol, m_mat, m_perm_r, nseg1, dense, panel_lsub, segrep, repfnz, xprune, marker, parent, xplore, m_Glu);
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LU_panel_dfs(m, panel_size, jcol, m_mat, m_perm_r, nseg1, dense, panel_lsub, segrep, repfnz, xprune, marker, parent, xplore, m_Glu);
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// Numeric sup-panel updates in topological order
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// Numeric sup-panel updates in topological order
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LU_panel_bmod(m, panel_size, jcol);
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LU_panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_Glu);
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// Sparse LU within the panel, and below the panel diagonal
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// Sparse LU within the panel, and below the panel diagonal
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for ( jj = jcol, j< jcol + panel_size; jj++)
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for ( jj = jcol, j< jcol + panel_size; jj++)
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{
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{
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k = (jj - jcol) * m; // Column index for w-wide arrays
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k = (jj - jcol) * m; // Column index for w-wide arrays
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nseg = nseg1; // begin after all the panel segments
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//Depth-first-search for the current column
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info = LU_column_dfs(m, jj, ... );
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if ( !info )
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{
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m_info = NumericalIssue;
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m_factorizationIsOk = false;
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return;
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}
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// Numeric updates to this column
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info = LU_column_bmod(jj, ... );
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if ( !info )
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{
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m_info = NumericalIssue;
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m_factorizationIsOk = false;
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return;
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}
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} // end for
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} // end for
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jcol += panel_size; // Move to the next panel
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jcol += panel_size; // Move to the next panel
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} // end else
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} // end else
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} // end for -- end elimination
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} // end for -- end elimination
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m_info = ok ? Success : NumericalIssue;
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m_info = Success;
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m_factorizationIsOk = ok;
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m_factorizationIsOk = ok;
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}
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}
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178
Eigen/src/SparseLU/SparseLU_panel_bmod.h
Normal file
178
Eigen/src/SparseLU/SparseLU_panel_bmod.h
Normal file
@ -0,0 +1,178 @@
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// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra.
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//
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// Copyright (C) 2012 Désiré Nuentsa-Wakam <desire.nuentsa_wakam@inria.fr>
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//
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// Eigen is free software; you can redistribute it and/or
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// modify it under the terms of the GNU Lesser General Public
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// License as published by the Free Software Foundation; either
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// version 3 of the License, or (at your option) any later version.
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//
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// Alternatively, you can redistribute it and/or
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// modify it under the terms of the GNU General Public License as
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// published by the Free Software Foundation; either version 2 of
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// the License, or (at your option) any later version.
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//
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// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
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// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
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// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
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// GNU General Public License for more details.
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//
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// You should have received a copy of the GNU Lesser General Public
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// License and a copy of the GNU General Public License along with
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// Eigen. If not, see <http://www.gnu.org/licenses/>.
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/*
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* NOTE: This file is the modified version of xpanel_dfs.c file in SuperLU
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* -- SuperLU routine (version 3.0) --
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* Univ. of California Berkeley, Xerox Palo Alto Research Center,
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* and Lawrence Berkeley National Lab.
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* October 15, 2003
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*
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* Copyright (c) 1994 by Xerox Corporation. All rights reserved.
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*
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* THIS MATERIAL IS PROVIDED AS IS, WITH ABSOLUTELY NO WARRANTY
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* EXPRESSED OR IMPLIED. ANY USE IS AT YOUR OWN RISK.
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*
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* Permission is hereby granted to use or copy this program for any
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* purpose, provided the above notices are retained on all copies.
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* Permission to modify the code and to distribute modified code is
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* granted, provided the above notices are retained, and a notice that
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* the code was modified is included with the above copyright notice.
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*/
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#ifndef SPARSELU_PANEL_BMOD_H
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#define SPARSELU_PANEL_BMOD_H
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/**
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* \brief Performs numeric block updates (sup-panel) in topological order.
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*
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* Before entering this routine, the original nonzeros in the panel
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* were already copied i nto the spa[m,w] ... FIXME to be checked
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*
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* \param m number of rows in the matrix
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* \param w Panel size
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* \param jcol Starting column of the panel
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* \param nseg Number of segments in the U part
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* \param dense Store the full representation of the panel
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* \param tempv working array
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* \param segrep in ...
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* \param repfnz in ...
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* \param Glu Global LU data.
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*
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*
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*/
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template <typename VectorType>
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void SparseLU::LU_panel_bmod(const int m, const int w, const int jcol, const int nseg, VectorType& dense, VectorType& tempv, VectorXi& segrep, VectorXi& repfnz, LU_GlobalLu_t& Glu)
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{
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VectorXi& xsup = Glu.xsup;
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VectorXi& supno = Glu.supno;
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VectorXi& lsub = Glu.lsub;
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VectorXi& xlsub = Glu.xlsub;
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VectorXi& xlusup = Glu.xlusup;
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VectorType& lusup = Glu.lusup;
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int i,ksub,jj,nextl_col,irow;
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int fsupc, nsupc, nsupr, nrow;
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int krep, krep_ind;
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int nrow;
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int lptr; // points to the row subscripts of a supernode
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int luptr; // ...
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int segsze,no_zeros,irow ;
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// For each nonz supernode segment of U[*,j] in topological order
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int k = nseg - 1;
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for (ksub = 0; ksub < nseg; ksub++)
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{ // For each updating supernode
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/* krep = representative of current k-th supernode
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* fsupc = first supernodal column
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* nsupc = number of columns in a supernode
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* nsupr = number of rows in a supernode
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*/
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krep = segrep(k); k--;
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fsupc = xsup(supno(krep));
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nsupc = krep - fsupc + 1;
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nsupr = xlsub(fsupc+1) - xlsub(fsupc);
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nrow = nsupr - nsupc;
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lptr = xlsub(fsupc);
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krep_ind = lptr + nsupc - 1;
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repfnz_col = repfnz;
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dense_col = dense;
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// NOTE : Unlike the original implementation in SuperLU, the present implementation
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// does not include a 2-D block update.
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// Sequence through each column in the panel
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for (jj = jcol; jj < jcol + w; jj++)
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{
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nextl_col = (jj-jcol) * m;
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VectorBlock<VectorXi> repfnz_col(repfnz.segment(nextl_col, m)); // First nonzero column index for each row
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VectorBLock<VectorXi> dense_col(dense.segment(nextl_col, m)); // Scatter/gather entire matrix column from/to here
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kfnz = repfnz_col(krep);
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if ( kfnz == -1 )
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continue; // skip any zero segment
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segsize = krep - kfnz + 1;
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luptr = xlusup(fsupc);
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// NOTE : Unlike the original implementation in SuperLU,
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// there is no update feature for col-col, 2col-col ...
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// Perform a trianglar solve and block update,
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// then scatter the result of sup-col update to dense[]
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no_zeros = kfnz - fsupc;
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// Copy U[*,j] segment from dense[*] to tempv[*] :
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// The result of triangular solve is in tempv[*];
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// The result of matric-vector update is in dense_col[*]
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isub = lptr + no_zeros;
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for (i = 0; i < segsize; ++i)
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{
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irow = lsub(isub);
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tempv(i) = dense_col(irow); // Gather to a compact vector
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++isub;
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}
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// Start effective triangle
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luptr += nsupr * no_zeros + no_zeros;
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// triangular solve with Eigen
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Map<Matrix<Scalar,Dynamic, Dynamic>, 0, OuterStride<> > A( &(lusup.data()[luptr]), segsize, segsize, OuterStride<>(nsupr) );
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Map<Matrix<Scalar,Dynamic,1> > u( tempv.data(), segsize);
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u = A.triangularView<Lower>().solve(u);
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luptr += segsize;
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// Dense Matrix vector product y <-- A*x;
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new (&A) Map<Matrix<Scalar,Dynamic, Dynamic>, 0, OuterStride<> > ( &(lusup.data()[luptr]), segsize, segsize, OuterStride<>(nsupr) );
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Map<VectorType> l( &(tempv.data()[segsize]), segsize);
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l= A * u;
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// Scatter tempv(*) into SPA dense(*) such that tempv(*)
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// can be used for the triangular solve of the next
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// column of the panel. The y will be copied into ucol(*)
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// after the whole panel has been finished.
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isub = lptr + no_zeros;
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for (i = 0; i < segsize; i++)
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{
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irow = lsub(isub);
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dense_col(irow) = tempv(i);
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tempv(i) = zero;
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isub++;
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}
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// Scatter the update from &tempv[segsize] into SPA dense(*)
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// Start dense rectangular L
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for (i = 0; i < nrow; i++)
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{
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irow = lsub(isub);
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dense_col(irow) -= tempv(segsize + i);
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tempv(segsize + i) = 0;
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++isub;
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}
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} // End for each column in the panel
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} // End for each updating supernode
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}
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#endif
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@ -67,11 +67,12 @@
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* \param jcol Starting column of the panel
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* \param jcol Starting column of the panel
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* \param A Input matrix in column-major storage
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* \param A Input matrix in column-major storage
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* \param perm_r Row permutation
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* \param perm_r Row permutation
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* \param nseg
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* \param nseg Number of U segments
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* ...
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*
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*
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*/
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*/
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template <typename MatrixType, typename VectorType>
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template <typename MatrixType, typename VectorType>
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int SparseLU::LU_panel_dfs(const int m, const int w, const int jcol, MatrixType& A, VectorXi& perm_r, VectorXi& nseg, int& nseg, VectorType& dense, VectorXi& panel_lsub, VectorXi& segrep, VectorXi& repfnz, VectorXi& xprune, VectorXi& marker, VectorXi& parent, VectorXi& xplore, LU_GlobalLu_t& Glu)
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void SparseLU::LU_panel_dfs(const int m, const int w, const int jcol, MatrixType& A, VectorXi& perm_r, VectorXi& nseg, int& nseg, VectorType& dense, VectorXi& panel_lsub, VectorXi& segrep, VectorXi& repfnz, VectorXi& xprune, VectorXi& marker, VectorXi& parent, VectorXi& xplore, LU_GlobalLu_t& Glu)
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{
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{
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int jj; // Index through each column in the panel
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int jj; // Index through each column in the panel
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@ -46,12 +46,12 @@
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#define SPARSELU_SNODE_BMOD_H
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#define SPARSELU_SNODE_BMOD_H
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template <typename VectorType>
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template <typename VectorType>
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int SparseLU::LU_dsnode_bmod (const int jcol, const int jsupno, const int fsupc,
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int SparseLU::LU_dsnode_bmod (const int jcol, const int jsupno, const int fsupc,
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VectorType& dense, VectorType& tempv)
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VectorType& dense, VectorType& tempv, LU_GlobalLu_t& Glu)
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{
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{
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VectorXi& lsub = m_Glu.lsub; // Compressed row subscripts of ( rectangular supernodes ??)
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VectorXi& lsub = Glu.lsub; // Compressed row subscripts of ( rectangular supernodes ??)
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VectorXi& xlsub = m_Glu.xlsub; // xlsub[j] is the starting location of the j-th column in lsub(*)
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VectorXi& xlsub = Glu.xlsub; // xlsub[j] is the starting location of the j-th column in lsub(*)
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Scalar* lusup = m_Glu.lusup.data(); // Numerical values of the rectangular supernodes
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VectorType& lusup = Glu.lusup; // Numerical values of the rectangular supernodes
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VectorXi& xlusup = m_Glu.xlusup; // xlusup[j] is the starting location of the j-th column in lusup(*)
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VectorXi& xlusup = Glu.xlusup; // xlusup[j] is the starting location of the j-th column in lusup(*)
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int nextlu = xlusup(jcol); // Starting location of the next column to add
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int nextlu = xlusup(jcol); // Starting location of the next column to add
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int irow;
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int irow;
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@ -72,16 +72,20 @@ int SparseLU::LU_dsnode_bmod (const int jcol, const int jsupno, const int fsupc,
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int ufirst = xlusup(jcol); // points to the beginning of column jcol in supernode L\U(jsupno)
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int ufirst = xlusup(jcol); // points to the beginning of column jcol in supernode L\U(jsupno)
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int nrow = nsupr - nsupc; // Number of rows in the off-diagonal blocks
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int nrow = nsupr - nsupc; // Number of rows in the off-diagonal blocks
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int incx = 1, incy = 1;
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// int incx = 1, incy = 1;
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Scalar alpha = Scalar(-1.0);
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// Scalar alpha = Scalar(-1.0);
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Scalar beta = Scalar(1.0);
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// Scalar beta = Scalar(1.0);
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// Solve the triangular system for U(fsupc:jcol, jcol) with L(fspuc..., fsupc:jcol)
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// Solve the triangular system for U(fsupc:jcol, jcol) with L(fspuc..., fsupc:jcol)
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//BLASFUNC(trsv)("L", "N", "U", &nsupc, &(lusup[luptr]), &nsupr, &(lusup[ufirst]), &incx);
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//BLASFUNC(trsv)("L", "N", "U", &nsupc, &(lusup[luptr]), &nsupr, &(lusup[ufirst]), &incx);
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Map<Matrix<Scalar,Dynamic,Dynamic>, 0, OuterStride<> > A( &(lusup[luptr]), nsupc, nsupc, OuterStride<>(nsupr) );
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Map<Matrix<Scalar,Dynamic,Dynamic>, 0, OuterStride<> > A( &(lusup.data()[luptr]), nsupc, nsupc, OuterStride<>(nsupr) );
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Map<Matrix<Scalar,Dynamic,1> > l(&(lusup[ufirst]), nsupc);
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Map<Matrix<Scalar,Dynamic,1> > l(&(lusup.data()[ufirst]), nsupc);
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l = A.triangularView<Lower>().solve(l);
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l = A.triangularView<Lower>().solve(l);
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// Update the trailing part of the column jcol U(jcol:jcol+nrow, jcol) using L(jcol:jcol+nrow, fsupc:jcol) and U(fsupc:jcol)
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// Update the trailing part of the column jcol U(jcol:jcol+nrow, jcol) using L(jcol:jcol+nrow, fsupc:jcol) and U(fsupc:jcol)
|
||||||
BLASFUNC(gemv)("N", &nrow, &nsupc, &alpha, &lusup[luptr+nsupc], &nsupr, &lusup[ufirst], &incx, &beta, &lusup[ufirst+nsupc], &incy);
|
Map<Matrix<Scalar,Dynamic,1> > u(&(lusup.data()[ufirst+nsupc], nsupc);
|
||||||
|
u = A * l;
|
||||||
|
// BLASFUNC(gemv)("N", &nrow, &nsupc, &alpha, &lusup[luptr+nsupc], &nsupr, &lusup[ufirst], &incx, &beta, &lusup[ufirst+nsupc], &incy);
|
||||||
|
|
||||||
return 0;
|
return 0;
|
||||||
}
|
}
|
||||||
|
Loading…
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Reference in New Issue
Block a user