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Description:

PaStiX (Parallel Sparse matriX package) is a scientific library that provides a high performance parallel solver for very large sparse linear systems based on direct methods. Numerical algorithms are implemented in single or double precision (real or complex) using LLt, LDLt and LU with static pivoting (for non symmetric matrices having a symmetric pattern). This solver provides also an adaptive blockwise iLU(k) factorization that can be used as a parallel preconditioner using approximated supernodes to build a coarser block structure of the incomplete factors.

Homepage:

https://solverstack.gitlabpages.inria.fr/pastix/ https://gitlab.inria.fr/solverstack/pastix

License:

CeCILL-C

Versions

Metadata

Description

• PaStiX (Parallel Sparse matriX package) is a scientific library that provides a high performance parallel solver for very large sparse linear systems based on direct methods. Numerical algorithms are implemented in single or double precision (real or complex) using LLt, LDLt and LU with static pivoting (for non symmetric matrices having a symmetric pattern). This solver provides also an adaptive blockwise iLU(k) factorization that can be used as a parallel preconditioner using approximated supernodes to build a coarser block structure of the incomplete factors.

Maintainers

• Gentoo Science Project (sci@gentoo.org) - Type: project

<pkgmetadata>
	<maintainer type="project">
		<email>sci@gentoo.org</email>
		<name>Gentoo Science Project</name>
	</maintainer>
	<longdescription lang="en">
  PaStiX (Parallel Sparse matriX package) is a scientific library that
  provides a high performance parallel solver for very large sparse
  linear systems based on direct methods.  Numerical algorithms are
  implemented in single or double precision (real or complex) using
  LLt, LDLt and LU with static pivoting (for non symmetric matrices
  having a symmetric pattern).  This solver provides also an adaptive
  blockwise iLU(k) factorization that can be used as a parallel
  preconditioner using approximated supernodes to build a coarser
  block structure of the incomplete factors.
  </longdescription>
	<use>
		<flag name="fortran">Install the Fortran interface</flag>
		<flag name="int64">Use 64- rather than 32-bit integer representation</flag>
		<flag name="metis">Enable matrix ordering with <pkg>sci-libs/metis</pkg></flag>
		<flag name="scotch">Enable matrix ordering with <pkg>sci-libs/scotch</pkg></flag>
		<flag name="starpu">Enable support for ther <pkg>dev-libs/starpu</pkg> runtime</flag>
	</use>
</pkgmetadata>

Lint Warnings

• [Warning] Ebuild 6.0.3 uses IUSE flag 'cuda' which is not documented in metadata.xml. Add the flag to metadata.xml <use> section.
• [Warning] Ebuild 6.0.3 uses IUSE flag 'examples' which is not documented in metadata.xml. Add the flag to metadata.xml <use> section.
• [Warning] Ebuild 6.0.3 uses IUSE flag 'mpi' which is not documented in metadata.xml. Add the flag to metadata.xml <use> section.
• [Warning] Ebuild 6.0.3 uses IUSE flag 'python' which is not documented in metadata.xml. Add the flag to metadata.xml <use> section.
• [Warning] Missing md5-cache for version 6.0.3. Run 'ebuild <ebuild_file> manifest' or 'egencache' to generate it.

USE Flags

Files

• pastix-6.0.3-cmake-examples-optional.patch
• pastix-6.0.3-cmake-installdirs.patch
• pastix-6.0.3-cmake-python-optional.patch
• pastix-6.0.3-cmake-spm-project.patch
• pastix-6.0.3-multiple-coeftabMemory.patch

Manifest