GitHub-Proxy/eigen
1
0
Fork 0
mirror of https://gitlab.com/libeigen/eigen.git synced 2025-08-03 02:30:38 +08:00
Code Issues Packages Projects Releases Wiki Activity

Fixes for PARDISO: warnings, and defaults to metis+ in-core mode.

Browse Source
This commit is contained in:
Gael Guennebaud 2016-06-08 18:31:19 +02:00
parent 538bc98b33
commit 4c8f0cbc1f
1 changed files with 16 additions and 5 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

21
Eigen/src/PardisoSupport/PardisoSupport.h
View File

@ -221,11 +221,11 @@ class PardisoImpl
m_type = type;
bool symmetric = std::abs(m_type) < 10;
m_iparm[0] = 1; // No solver default
m_iparm[1] = 3; // use Metis for the ordering
m_iparm[2] = 1; // Numbers of processors, value of OMP_NUM_THREADS
m_iparm[1] = 2; // use Metis for the ordering
m_iparm[2] = 0; // Reserved. Set to zero. (??Numbers of processors, value of OMP_NUM_THREADS??)
m_iparm[3] = 0; // No iterative-direct algorithm
m_iparm[4] = 0; // No user fill-in reducing permutation
m_iparm[5] = 0; // Write solution into x
m_iparm[5] = 0; // Write solution into x, b is left unchanged
m_iparm[6] = 0; // Not in use
m_iparm[7] = 2; // Max numbers of iterative refinement steps
m_iparm[8] = 0; // Not in use
@ -246,7 +246,10 @@ class PardisoImpl
m_iparm[26] = 0; // No matrix checker
m_iparm[27] = (sizeof(RealScalar) == 4) ? 1 : 0;
m_iparm[34] = 1; // C indexing
m_iparm[59] = 1; // Automatic switch between In-Core and Out-of-Core modes
m_iparm[36] = 0; // CSR
m_iparm[59] = 0; // 0 - In-Core ; 1 - Automatic switch between In-Core and Out-of-Core modes ; 2 - Out-of-Core
memset(m_pt, 0, sizeof(m_pt));
}
protected:
@ -384,7 +387,6 @@ bool PardisoImpl<Base>::_solve(const MatrixBase<BDerived> &b, MatrixBase<XDerive
m_matrix.valuePtr(), m_matrix.outerIndexPtr(), m_matrix.innerIndexPtr(),
m_perm.data(), nrhs, m_iparm.data(), m_msglvl,
rhs_ptr, x.derived().data());
return error==0;
}
@ -397,6 +399,9 @@ bool PardisoImpl<Base>::_solve(const MatrixBase<BDerived> &b, MatrixBase<XDerive
* using the Intel MKL PARDISO library. The sparse matrix A must be squared and invertible.
* The vectors or matrices X and B can be either dense or sparse.
*
* By default, it runs in in-core mode. To enable PARDISO's out-of-core feature, set:
* \code solver.pardisoParameterArray()[59] = 1; \endcode
*
* \tparam _MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
*
* \sa \ref TutorialSparseDirectSolvers
@ -447,6 +452,9 @@ class PardisoLU : public PardisoImpl< PardisoLU<MatrixType> >
* using the Intel MKL PARDISO library. The sparse matrix A must be selfajoint and positive definite.
* The vectors or matrices X and B can be either dense or sparse.
*
* By default, it runs in in-core mode. To enable PARDISO's out-of-core feature, set:
* \code solver.pardisoParameterArray()[59] = 1; \endcode
*
* \tparam MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
* \tparam UpLo can be any bitwise combination of Upper, Lower. The default is Upper, meaning only the upper triangular part has to be used.
* Upper|Lower can be used to tell both triangular parts can be used as input.
@ -507,6 +515,9 @@ class PardisoLLT : public PardisoImpl< PardisoLLT<MatrixType,_UpLo> >
* For complex matrices, A can also be symmetric only, see the \a Options template parameter.
* The vectors or matrices X and B can be either dense or sparse.
*
* By default, it runs in in-core mode. To enable PARDISO's out-of-core feature, set:
* \code solver.pardisoParameterArray()[59] = 1; \endcode
*
* \tparam MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
* \tparam Options can be any bitwise combination of Upper, Lower, and Symmetric. The default is Upper, meaning only the upper triangular part has to be used.
* Symmetric can be used for symmetric, non-selfadjoint complex matrices, the default being to assume a selfadjoint matrix.