SparseLU_kernel_bmod.h
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1 // This file is part of Eigen, a lightweight C++ template library
2 // for linear algebra.
3 //
4 // Copyright (C) 2012 Désiré Nuentsa-Wakam <desire.nuentsa_wakam@inria.fr>
5 // Copyright (C) 2012 Gael Guennebaud <gael.guennebaud@inria.fr>
6 //
7 // This Source Code Form is subject to the terms of the Mozilla
8 // Public License v. 2.0. If a copy of the MPL was not distributed
9 // with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
10 
11 #ifndef SPARSELU_KERNEL_BMOD_H
12 #define SPARSELU_KERNEL_BMOD_H
13 
14 namespace Eigen {
15 namespace internal {
16 
17 template <int SegSizeAtCompileTime> struct LU_kernel_bmod
18 {
32  template <typename BlockScalarVector, typename ScalarVector, typename IndexVector>
33  static EIGEN_DONT_INLINE void run(const Index segsize, BlockScalarVector& dense, ScalarVector& tempv, ScalarVector& lusup, Index& luptr, const Index lda,
34  const Index nrow, IndexVector& lsub, const Index lptr, const Index no_zeros);
35 };
36 
37 template <int SegSizeAtCompileTime>
38 template <typename BlockScalarVector, typename ScalarVector, typename IndexVector>
39 EIGEN_DONT_INLINE void LU_kernel_bmod<SegSizeAtCompileTime>::run(const Index segsize, BlockScalarVector& dense, ScalarVector& tempv, ScalarVector& lusup, Index& luptr, const Index lda,
40  const Index nrow, IndexVector& lsub, const Index lptr, const Index no_zeros)
41 {
42  typedef typename ScalarVector::Scalar Scalar;
43  // First, copy U[*,j] segment from dense(*) to tempv(*)
44  // The result of triangular solve is in tempv[*];
45  // The result of matric-vector update is in dense[*]
46  Index isub = lptr + no_zeros;
47  Index i;
48  Index irow;
49  for (i = 0; i < ((SegSizeAtCompileTime==Dynamic)?segsize:SegSizeAtCompileTime); i++)
50  {
51  irow = lsub(isub);
52  tempv(i) = dense(irow);
53  ++isub;
54  }
55  // Dense triangular solve -- start effective triangle
56  luptr += lda * no_zeros + no_zeros;
57  // Form Eigen matrix and vector
58  Map<Matrix<Scalar,SegSizeAtCompileTime,SegSizeAtCompileTime, ColMajor>, 0, OuterStride<> > A( &(lusup.data()[luptr]), segsize, segsize, OuterStride<>(lda) );
59  Map<Matrix<Scalar,SegSizeAtCompileTime,1> > u(tempv.data(), segsize);
60 
61  u = A.template triangularView<UnitLower>().solve(u);
62 
63  // Dense matrix-vector product y <-- B*x
64  luptr += segsize;
66  Index ldl = internal::first_multiple(nrow, PacketSize);
67  Map<Matrix<Scalar,Dynamic,SegSizeAtCompileTime, ColMajor>, 0, OuterStride<> > B( &(lusup.data()[luptr]), nrow, segsize, OuterStride<>(lda) );
68  Index aligned_offset = internal::first_default_aligned(tempv.data()+segsize, PacketSize);
69  Index aligned_with_B_offset = (PacketSize-internal::first_default_aligned(B.data(), PacketSize))%PacketSize;
70  Map<Matrix<Scalar,Dynamic,1>, 0, OuterStride<> > l(tempv.data()+segsize+aligned_offset+aligned_with_B_offset, nrow, OuterStride<>(ldl) );
71 
72  l.setZero();
73  internal::sparselu_gemm<Scalar>(l.rows(), l.cols(), B.cols(), B.data(), B.outerStride(), u.data(), u.outerStride(), l.data(), l.outerStride());
74 
75  // Scatter tempv[] into SPA dense[] as a temporary storage
76  isub = lptr + no_zeros;
77  for (i = 0; i < ((SegSizeAtCompileTime==Dynamic)?segsize:SegSizeAtCompileTime); i++)
78  {
79  irow = lsub(isub++);
80  dense(irow) = tempv(i);
81  }
82 
83  // Scatter l into SPA dense[]
84  for (i = 0; i < nrow; i++)
85  {
86  irow = lsub(isub++);
87  dense(irow) -= l(i);
88  }
89 }
90 
91 template <> struct LU_kernel_bmod<1>
92 {
93  template <typename BlockScalarVector, typename ScalarVector, typename IndexVector>
94  static EIGEN_DONT_INLINE void run(const Index /*segsize*/, BlockScalarVector& dense, ScalarVector& /*tempv*/, ScalarVector& lusup, Index& luptr,
95  const Index lda, const Index nrow, IndexVector& lsub, const Index lptr, const Index no_zeros);
96 };
97 
98 
99 template <typename BlockScalarVector, typename ScalarVector, typename IndexVector>
100 EIGEN_DONT_INLINE void LU_kernel_bmod<1>::run(const Index /*segsize*/, BlockScalarVector& dense, ScalarVector& /*tempv*/, ScalarVector& lusup, Index& luptr,
101  const Index lda, const Index nrow, IndexVector& lsub, const Index lptr, const Index no_zeros)
102 {
103  typedef typename ScalarVector::Scalar Scalar;
104  typedef typename IndexVector::Scalar StorageIndex;
105  Scalar f = dense(lsub(lptr + no_zeros));
106  luptr += lda * no_zeros + no_zeros + 1;
107  const Scalar* a(lusup.data() + luptr);
108  const StorageIndex* irow(lsub.data()+lptr + no_zeros + 1);
109  Index i = 0;
110  for (; i+1 < nrow; i+=2)
111  {
112  Index i0 = *(irow++);
113  Index i1 = *(irow++);
114  Scalar a0 = *(a++);
115  Scalar a1 = *(a++);
116  Scalar d0 = dense.coeff(i0);
117  Scalar d1 = dense.coeff(i1);
118  d0 -= f*a0;
119  d1 -= f*a1;
120  dense.coeffRef(i0) = d0;
121  dense.coeffRef(i1) = d1;
122  }
123  if(i<nrow)
124  dense.coeffRef(*(irow++)) -= f * *(a++);
125 }
126 
127 } // end namespace internal
128 
129 } // end namespace Eigen
130 #endif // SPARSELU_KERNEL_BMOD_H
A matrix or vector expression mapping an existing array of data.
Definition: Map.h:88
static int f(const TensorMap< Tensor< int, 3 > > &tensor)
Definition: LDLT.h:16
static EIGEN_DONT_INLINE void run(const Index segsize, BlockScalarVector &dense, ScalarVector &tempv, ScalarVector &lusup, Index &luptr, const Index lda, const Index nrow, IndexVector &lsub, const Index lptr, const Index no_zeros)
#define EIGEN_DONT_INLINE
Definition: Macros.h:515
static Index first_default_aligned(const DenseBase< Derived > &m)
Index first_multiple(Index size, Index base)
Definition: Memory.h:476
EIGEN_DEFAULT_DENSE_INDEX_TYPE Index
The Index type as used for the API.
Definition: Meta.h:33
EIGEN_DEVICE_FUNC Index outerStride() const
Definition: Map.h:108
const int Dynamic
Definition: Constants.h:21
Convenience specialization of Stride to specify only an outer stride See class Map for some examples...
Definition: Stride.h:101


hebiros
Author(s): Xavier Artache , Matthew Tesch
autogenerated on Thu Sep 3 2020 04:08:54