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<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE pkgmetadata SYSTEM "https://www.gentoo.org/dtd/metadata.dtd">
<pkgmetadata>
<maintainer type="project">
<email>sci@gentoo.org</email>
<name>Gentoo Science Project</name>
</maintainer>
<longdescription lang="en">
SuiteSparse is a suite of sparse matrix libraries from University of
Florida Computer Science Department. Currently, this includes:
* AMD: symmetric approximate minimum degree
* BTF: permutation to block triangular form
* CAMD: symmetric approximate minimum degree
* CCOLAMD: constrained column approximate minimum degree
* COLAMD: column approximate minimum degree
* CHOLMOD: sparse supernodal Cholesky factorization and update/downdate
* CSparse: a concise sparse matrix package
* CXSparse: an extended version of CSparse
* KLU: sparse LU factorization, for circuit simulation
* LDL: a simple LDL^T factorization
* SPQR: multifrontal sparse QT factorization
* UMFPACK: sparse multifrontal LU factorization
* SuiteSparse_config: common configuration for all but CSparse
The Gentoo package does not include the suitesparse MATLAB tools from
upstream, from the packages above and the following MATLAB-only packages:
* RBio: MATLAB toolbox for reading/writing sparse matrices
* LINFACTOR: solve Ax=b using LU or CHOL
* MESHND: 2D and 3D mesh generation and nested dissection
* SSMULT: sparse matrix times sparse matrix
</longdescription>
<use>
<flag name="cuda">
Enable nvidia cuda toolkit for speeding up computations
</flag>
<flag name="partition">
Enable graph partitioning and graph-partition-based orderings
through <pkg>sci-libs/metis</pkg> or <pkg>sci-libs/parmetis</pkg>
</flag>
<flag name="tbb">
Enable multithreading with the Intel Threads Building Block
<pkg>dev-cpp/tbb</pkg>
</flag>
</use>
</pkgmetadata>
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