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authorGravatar Desire NUENTSA <desire.nuentsa_wakam@inria.fr>2012-05-29 17:55:38 +0200
committerGravatar Desire NUENTSA <desire.nuentsa_wakam@inria.fr>2012-05-29 17:55:38 +0200
commit8ab820b5b8d7555ffcd95513b9ac6cd7fd7b6438 (patch)
tree80bb89eda622962567041037f18df12198026776 /Eigen/src/SparseLU
parentb6267507ea08bf572666bf634bc3a6fabe6aba11 (diff)
Symbolic and numeric update on a whole panel
Diffstat (limited to 'Eigen/src/SparseLU')
-rw-r--r--Eigen/src/SparseLU/SparseLU.h31
-rw-r--r--Eigen/src/SparseLU/SparseLU_panel_bmod.h178
-rw-r--r--Eigen/src/SparseLU/SparseLU_panel_dfs.h5
-rw-r--r--Eigen/src/SparseLU/SparseLU_snode_bmod.h26
4 files changed, 221 insertions, 19 deletions
diff --git a/Eigen/src/SparseLU/SparseLU.h b/Eigen/src/SparseLU/SparseLU.h
index f5a1c787e..f1c530b55 100644
--- a/Eigen/src/SparseLU/SparseLU.h
+++ b/Eigen/src/SparseLU/SparseLU.h
@@ -192,7 +192,7 @@ void SparseLU::analyzePattern(const MatrixType& mat)
* the estimated amount of space needed, plus A->ncol.
*/
template <typename MatrixType>
-int SparseLU::factorize(const MatrixType& matrix)
+void SparseLU::factorize(const MatrixType& matrix)
{
// Allocate storage common to the factor routines
@@ -256,7 +256,6 @@ int SparseLU::factorize(const MatrixType& matrix)
register int jcol,kcol;
int min_mn = std::min(m,n);
VectorXi panel_histo(n);
- bool ok = true;
Index nextu, nextlu, jsupno, fsupc, new_next;
int pivrow; // Pivotal row number in the original row matrix
int nseg1; // Number of segments in U-column above panel row jcol
@@ -272,8 +271,9 @@ int SparseLU::factorize(const MatrixType& matrix)
info = LU_snode_dfs(jcol, kcol, m_mat.innerIndexPtr(), m_mat.outerIndexPtr(), xprune, marker);
if ( !info )
{
- ok = false;
- break;
+ m_info = NumericalIssue;
+ m_factorizationIsOk = false;
+ return;
}
nextu = xusub(jcol); //starting location of column jcol in ucol
nextlu = xlusup(jcol); //Starting location of column jcol in lusup (rectangular supernodes)
@@ -322,17 +322,36 @@ int SparseLU::factorize(const MatrixType& matrix)
LU_panel_dfs(m, panel_size, jcol, m_mat, m_perm_r, nseg1, dense, panel_lsub, segrep, repfnz, xprune, marker, parent, xplore, m_Glu);
// Numeric sup-panel updates in topological order
- LU_panel_bmod(m, panel_size, jcol);
+ LU_panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_Glu);
// Sparse LU within the panel, and below the panel diagonal
for ( jj = jcol, j< jcol + panel_size; jj++)
{
k = (jj - jcol) * m; // Column index for w-wide arrays
+
+ nseg = nseg1; // begin after all the panel segments
+ //Depth-first-search for the current column
+ info = LU_column_dfs(m, jj, ... );
+ if ( !info )
+ {
+ m_info = NumericalIssue;
+ m_factorizationIsOk = false;
+ return;
+ }
+ // Numeric updates to this column
+ info = LU_column_bmod(jj, ... );
+ if ( !info )
+ {
+ m_info = NumericalIssue;
+ m_factorizationIsOk = false;
+ return;
+ }
+
} // end for
jcol += panel_size; // Move to the next panel
} // end else
} // end for -- end elimination
- m_info = ok ? Success : NumericalIssue;
+ m_info = Success;
m_factorizationIsOk = ok;
}
diff --git a/Eigen/src/SparseLU/SparseLU_panel_bmod.h b/Eigen/src/SparseLU/SparseLU_panel_bmod.h
new file mode 100644
index 000000000..29cc6d0f0
--- /dev/null
+++ b/Eigen/src/SparseLU/SparseLU_panel_bmod.h
@@ -0,0 +1,178 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2012 Désiré Nuentsa-Wakam <desire.nuentsa_wakam@inria.fr>
+//
+// Eigen 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 3 of the License, or (at your option) any later version.
+//
+// Alternatively, you can redistribute it and/or
+// modify it under the terms of the GNU General Public License as
+// published by the Free Software Foundation; either version 2 of
+// the License, or (at your option) any later version.
+//
+// Eigen 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 or the
+// GNU General Public License for more details.
+//
+// You should have received a copy of the GNU Lesser General Public
+// License and a copy of the GNU General Public License along with
+// Eigen. If not, see <http://www.gnu.org/licenses/>.
+
+/*
+
+ * NOTE: This file is the modified version of xpanel_dfs.c file in SuperLU
+
+ * -- SuperLU routine (version 3.0) --
+ * Univ. of California Berkeley, Xerox Palo Alto Research Center,
+ * and Lawrence Berkeley National Lab.
+ * October 15, 2003
+ *
+ * Copyright (c) 1994 by Xerox Corporation. All rights reserved.
+ *
+ * THIS MATERIAL IS PROVIDED AS IS, WITH ABSOLUTELY NO WARRANTY
+ * EXPRESSED OR IMPLIED. ANY USE IS AT YOUR OWN RISK.
+ *
+ * Permission is hereby granted to use or copy this program for any
+ * purpose, provided the above notices are retained on all copies.
+ * Permission to modify the code and to distribute modified code is
+ * granted, provided the above notices are retained, and a notice that
+ * the code was modified is included with the above copyright notice.
+ */
+#ifndef SPARSELU_PANEL_BMOD_H
+#define SPARSELU_PANEL_BMOD_H
+/**
+ * \brief Performs numeric block updates (sup-panel) in topological order.
+ *
+ * Before entering this routine, the original nonzeros in the panel
+ * were already copied i nto the spa[m,w] ... FIXME to be checked
+ *
+ * \param m number of rows in the matrix
+ * \param w Panel size
+ * \param jcol Starting column of the panel
+ * \param nseg Number of segments in the U part
+ * \param dense Store the full representation of the panel
+ * \param tempv working array
+ * \param segrep in ...
+ * \param repfnz in ...
+ * \param Glu Global LU data.
+ *
+ *
+ */
+template <typename VectorType>
+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)
+{
+ VectorXi& xsup = Glu.xsup;
+ VectorXi& supno = Glu.supno;
+ VectorXi& lsub = Glu.lsub;
+ VectorXi& xlsub = Glu.xlsub;
+ VectorXi& xlusup = Glu.xlusup;
+ VectorType& lusup = Glu.lusup;
+
+ int i,ksub,jj,nextl_col,irow;
+ int fsupc, nsupc, nsupr, nrow;
+ int krep, krep_ind;
+ int nrow;
+ int lptr; // points to the row subscripts of a supernode
+ int luptr; // ...
+ int segsze,no_zeros,irow ;
+ // For each nonz supernode segment of U[*,j] in topological order
+ int k = nseg - 1;
+ for (ksub = 0; ksub < nseg; ksub++)
+ { // For each updating supernode
+
+ /* krep = representative of current k-th supernode
+ * fsupc = first supernodal column
+ * nsupc = number of columns in a supernode
+ * nsupr = number of rows in a supernode
+ */
+ krep = segrep(k); k--;
+ fsupc = xsup(supno(krep));
+ nsupc = krep - fsupc + 1;
+ nsupr = xlsub(fsupc+1) - xlsub(fsupc);
+ nrow = nsupr - nsupc;
+ lptr = xlsub(fsupc);
+ krep_ind = lptr + nsupc - 1;
+
+ repfnz_col = repfnz;
+ dense_col = dense;
+
+ // NOTE : Unlike the original implementation in SuperLU, the present implementation
+ // does not include a 2-D block update.
+
+ // Sequence through each column in the panel
+ for (jj = jcol; jj < jcol + w; jj++)
+ {
+ nextl_col = (jj-jcol) * m;
+ VectorBlock<VectorXi> repfnz_col(repfnz.segment(nextl_col, m)); // First nonzero column index for each row
+ VectorBLock<VectorXi> dense_col(dense.segment(nextl_col, m)); // Scatter/gather entire matrix column from/to here
+
+ kfnz = repfnz_col(krep);
+ if ( kfnz == -1 )
+ continue; // skip any zero segment
+
+ segsize = krep - kfnz + 1;
+ luptr = xlusup(fsupc);
+
+ // NOTE : Unlike the original implementation in SuperLU,
+ // there is no update feature for col-col, 2col-col ...
+
+ // Perform a trianglar solve and block update,
+ // then scatter the result of sup-col update to dense[]
+ no_zeros = kfnz - fsupc;
+
+ // Copy U[*,j] segment from dense[*] to tempv[*] :
+ // The result of triangular solve is in tempv[*];
+ // The result of matric-vector update is in dense_col[*]
+ isub = lptr + no_zeros;
+ for (i = 0; i < segsize; ++i)
+ {
+ irow = lsub(isub);
+ tempv(i) = dense_col(irow); // Gather to a compact vector
+ ++isub;
+ }
+ // Start effective triangle
+ luptr += nsupr * no_zeros + no_zeros;
+ // triangular solve with Eigen
+ Map<Matrix<Scalar,Dynamic, Dynamic>, 0, OuterStride<> > A( &(lusup.data()[luptr]), segsize, segsize, OuterStride<>(nsupr) );
+ Map<Matrix<Scalar,Dynamic,1> > u( tempv.data(), segsize);
+ u = A.triangularView<Lower>().solve(u);
+
+ luptr += segsize;
+ // Dense Matrix vector product y <-- A*x;
+ new (&A) Map<Matrix<Scalar,Dynamic, Dynamic>, 0, OuterStride<> > ( &(lusup.data()[luptr]), segsize, segsize, OuterStride<>(nsupr) );
+ Map<VectorType> l( &(tempv.data()[segsize]), segsize);
+ l= A * u;
+
+ // Scatter tempv(*) into SPA dense(*) such that tempv(*)
+ // can be used for the triangular solve of the next
+ // column of the panel. The y will be copied into ucol(*)
+ // after the whole panel has been finished.
+
+ isub = lptr + no_zeros;
+ for (i = 0; i < segsize; i++)
+ {
+ irow = lsub(isub);
+ dense_col(irow) = tempv(i);
+ tempv(i) = zero;
+ isub++;
+ }
+
+ // Scatter the update from &tempv[segsize] into SPA dense(*)
+ // Start dense rectangular L
+ for (i = 0; i < nrow; i++)
+ {
+ irow = lsub(isub);
+ dense_col(irow) -= tempv(segsize + i);
+ tempv(segsize + i) = 0;
+ ++isub;
+ }
+
+ } // End for each column in the panel
+
+ } // End for each updating supernode
+}
+#endif \ No newline at end of file
diff --git a/Eigen/src/SparseLU/SparseLU_panel_dfs.h b/Eigen/src/SparseLU/SparseLU_panel_dfs.h
index 550544d05..7b85b6d7c 100644
--- a/Eigen/src/SparseLU/SparseLU_panel_dfs.h
+++ b/Eigen/src/SparseLU/SparseLU_panel_dfs.h
@@ -67,11 +67,12 @@
* \param jcol Starting column of the panel
* \param A Input matrix in column-major storage
* \param perm_r Row permutation
- * \param nseg
+ * \param nseg Number of U segments
+ * ...
*
*/
template <typename MatrixType, typename VectorType>
-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)
+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)
{
int jj; // Index through each column in the panel
diff --git a/Eigen/src/SparseLU/SparseLU_snode_bmod.h b/Eigen/src/SparseLU/SparseLU_snode_bmod.h
index fc6ffc320..e7146a262 100644
--- a/Eigen/src/SparseLU/SparseLU_snode_bmod.h
+++ b/Eigen/src/SparseLU/SparseLU_snode_bmod.h
@@ -46,12 +46,12 @@
#define SPARSELU_SNODE_BMOD_H
template <typename VectorType>
int SparseLU::LU_dsnode_bmod (const int jcol, const int jsupno, const int fsupc,
- VectorType& dense, VectorType& tempv)
+ VectorType& dense, VectorType& tempv, LU_GlobalLu_t& Glu)
{
- VectorXi& lsub = m_Glu.lsub; // Compressed row subscripts of ( rectangular supernodes ??)
- VectorXi& xlsub = m_Glu.xlsub; // xlsub[j] is the starting location of the j-th column in lsub(*)
- Scalar* lusup = m_Glu.lusup.data(); // Numerical values of the rectangular supernodes
- VectorXi& xlusup = m_Glu.xlusup; // xlusup[j] is the starting location of the j-th column in lusup(*)
+ VectorXi& lsub = Glu.lsub; // Compressed row subscripts of ( rectangular supernodes ??)
+ VectorXi& xlsub = Glu.xlsub; // xlsub[j] is the starting location of the j-th column in lsub(*)
+ VectorType& lusup = Glu.lusup; // Numerical values of the rectangular supernodes
+ VectorXi& xlusup = Glu.xlusup; // xlusup[j] is the starting location of the j-th column in lusup(*)
int nextlu = xlusup(jcol); // Starting location of the next column to add
int irow;
@@ -72,16 +72,20 @@ int SparseLU::LU_dsnode_bmod (const int jcol, const int jsupno, const int fsupc,
int ufirst = xlusup(jcol); // points to the beginning of column jcol in supernode L\U(jsupno)
int nrow = nsupr - nsupc; // Number of rows in the off-diagonal blocks
- int incx = 1, incy = 1;
- Scalar alpha = Scalar(-1.0);
- Scalar beta = Scalar(1.0);
+// int incx = 1, incy = 1;
+// Scalar alpha = Scalar(-1.0);
+// Scalar beta = Scalar(1.0);
+
// Solve the triangular system for U(fsupc:jcol, jcol) with L(fspuc..., fsupc:jcol)
//BLASFUNC(trsv)("L", "N", "U", &nsupc, &(lusup[luptr]), &nsupr, &(lusup[ufirst]), &incx);
- Map<Matrix<Scalar,Dynamic,Dynamic>, 0, OuterStride<> > A( &(lusup[luptr]), nsupc, nsupc, OuterStride<>(nsupr) );
- Map<Matrix<Scalar,Dynamic,1> > l(&(lusup[ufirst]), nsupc);
+ Map<Matrix<Scalar,Dynamic,Dynamic>, 0, OuterStride<> > A( &(lusup.data()[luptr]), nsupc, nsupc, OuterStride<>(nsupr) );
+ Map<Matrix<Scalar,Dynamic,1> > l(&(lusup.data()[ufirst]), nsupc);
l = A.triangularView<Lower>().solve(l);
+
// 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;
}