gentoo-overlay/sci-libs/suitesparse/metadata.xml

<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE pkgmetadata SYSTEM "http://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>