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Diffstat (limited to 'eigen/Eigen/src/SparseLU/SparseLU_panel_bmod.h')
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diff --git a/eigen/Eigen/src/SparseLU/SparseLU_panel_bmod.h b/eigen/Eigen/src/SparseLU/SparseLU_panel_bmod.h new file mode 100644 index 0000000..9d2ff29 --- /dev/null +++ b/eigen/Eigen/src/SparseLU/SparseLU_panel_bmod.h @@ -0,0 +1,223 @@ +// 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> +// Copyright (C) 2012 Gael Guennebaud <gael.guennebaud@inria.fr> +// +// This Source Code Form is subject to the terms of the Mozilla +// Public License v. 2.0. If a copy of the MPL was not distributed +// with this file, You can obtain one at http://mozilla.org/MPL/2.0/. + +/* + + * NOTE: This file is the modified version of [s,d,c,z]panel_bmod.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 + +namespace Eigen { +namespace internal { + +/** + * \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] + * + * \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 segment representative... first row in the segment + * \param repfnz First nonzero rows + * \param glu Global LU data. + * + * + */ +template <typename Scalar, typename Index> +void SparseLUImpl<Scalar,Index>::panel_bmod(const Index m, const Index w, const Index jcol, + const Index nseg, ScalarVector& dense, ScalarVector& tempv, + IndexVector& segrep, IndexVector& repfnz, GlobalLU_t& glu) +{ + + Index ksub,jj,nextl_col; + Index fsupc, nsupc, nsupr, nrow; + Index krep, kfnz; + Index lptr; // points to the row subscripts of a supernode + Index luptr; // ... + Index segsize,no_zeros ; + // For each nonz supernode segment of U[*,j] in topological order + Index k = nseg - 1; + const Index PacketSize = internal::packet_traits<Scalar>::size; + + 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 = glu.xsup(glu.supno(krep)); + nsupc = krep - fsupc + 1; + nsupr = glu.xlsub(fsupc+1) - glu.xlsub(fsupc); + nrow = nsupr - nsupc; + lptr = glu.xlsub(fsupc); + + // loop over the panel columns to detect the actual number of columns and rows + Index u_rows = 0; + Index u_cols = 0; + for (jj = jcol; jj < jcol + w; jj++) + { + nextl_col = (jj-jcol) * m; + VectorBlock<IndexVector> repfnz_col(repfnz, nextl_col, m); // First nonzero column index for each row + + kfnz = repfnz_col(krep); + if ( kfnz == emptyIdxLU ) + continue; // skip any zero segment + + segsize = krep - kfnz + 1; + u_cols++; + u_rows = (std::max)(segsize,u_rows); + } + + if(nsupc >= 2) + { + Index ldu = internal::first_multiple<Index>(u_rows, PacketSize); + Map<ScalarMatrix, Aligned, OuterStride<> > U(tempv.data(), u_rows, u_cols, OuterStride<>(ldu)); + + // gather U + Index u_col = 0; + for (jj = jcol; jj < jcol + w; jj++) + { + nextl_col = (jj-jcol) * m; + VectorBlock<IndexVector> repfnz_col(repfnz, nextl_col, m); // First nonzero column index for each row + VectorBlock<ScalarVector> dense_col(dense, nextl_col, m); // Scatter/gather entire matrix column from/to here + + kfnz = repfnz_col(krep); + if ( kfnz == emptyIdxLU ) + continue; // skip any zero segment + + segsize = krep - kfnz + 1; + luptr = glu.xlusup(fsupc); + no_zeros = kfnz - fsupc; + + Index isub = lptr + no_zeros; + Index off = u_rows-segsize; + for (Index i = 0; i < off; i++) U(i,u_col) = 0; + for (Index i = 0; i < segsize; i++) + { + Index irow = glu.lsub(isub); + U(i+off,u_col) = dense_col(irow); + ++isub; + } + u_col++; + } + // solve U = A^-1 U + luptr = glu.xlusup(fsupc); + Index lda = glu.xlusup(fsupc+1) - glu.xlusup(fsupc); + no_zeros = (krep - u_rows + 1) - fsupc; + luptr += lda * no_zeros + no_zeros; + MappedMatrixBlock A(glu.lusup.data()+luptr, u_rows, u_rows, OuterStride<>(lda) ); + U = A.template triangularView<UnitLower>().solve(U); + + // update + luptr += u_rows; + MappedMatrixBlock B(glu.lusup.data()+luptr, nrow, u_rows, OuterStride<>(lda) ); + eigen_assert(tempv.size()>w*ldu + nrow*w + 1); + + Index ldl = internal::first_multiple<Index>(nrow, PacketSize); + Index offset = (PacketSize-internal::first_aligned(B.data(), PacketSize)) % PacketSize; + MappedMatrixBlock L(tempv.data()+w*ldu+offset, nrow, u_cols, OuterStride<>(ldl)); + + L.setZero(); + internal::sparselu_gemm<Scalar>(L.rows(), L.cols(), B.cols(), B.data(), B.outerStride(), U.data(), U.outerStride(), L.data(), L.outerStride()); + + // scatter U and L + u_col = 0; + for (jj = jcol; jj < jcol + w; jj++) + { + nextl_col = (jj-jcol) * m; + VectorBlock<IndexVector> repfnz_col(repfnz, nextl_col, m); // First nonzero column index for each row + VectorBlock<ScalarVector> dense_col(dense, nextl_col, m); // Scatter/gather entire matrix column from/to here + + kfnz = repfnz_col(krep); + if ( kfnz == emptyIdxLU ) + continue; // skip any zero segment + + segsize = krep - kfnz + 1; + no_zeros = kfnz - fsupc; + Index isub = lptr + no_zeros; + + Index off = u_rows-segsize; + for (Index i = 0; i < segsize; i++) + { + Index irow = glu.lsub(isub++); + dense_col(irow) = U.coeff(i+off,u_col); + U.coeffRef(i+off,u_col) = 0; + } + + // Scatter l into SPA dense[] + for (Index i = 0; i < nrow; i++) + { + Index irow = glu.lsub(isub++); + dense_col(irow) -= L.coeff(i,u_col); + L.coeffRef(i,u_col) = 0; + } + u_col++; + } + } + else // level 2 only + { + // Sequence through each column in the panel + for (jj = jcol; jj < jcol + w; jj++) + { + nextl_col = (jj-jcol) * m; + VectorBlock<IndexVector> repfnz_col(repfnz, nextl_col, m); // First nonzero column index for each row + VectorBlock<ScalarVector> dense_col(dense, nextl_col, m); // Scatter/gather entire matrix column from/to here + + kfnz = repfnz_col(krep); + if ( kfnz == emptyIdxLU ) + continue; // skip any zero segment + + segsize = krep - kfnz + 1; + luptr = glu.xlusup(fsupc); + + Index lda = glu.xlusup(fsupc+1)-glu.xlusup(fsupc);// nsupr + + // Perform a trianglar solve and block update, + // then scatter the result of sup-col update to dense[] + no_zeros = kfnz - fsupc; + if(segsize==1) LU_kernel_bmod<1>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); + else if(segsize==2) LU_kernel_bmod<2>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); + else if(segsize==3) LU_kernel_bmod<3>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); + else LU_kernel_bmod<Dynamic>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); + } // End for each column in the panel + } + + } // End for each updating supernode +} // end panel bmod + +} // end namespace internal + +} // end namespace Eigen + +#endif // SPARSELU_PANEL_BMOD_H |