suitesparse
Metapackage for a suite of sparse matrix tools
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
Available in
| Overlay | Newest | Ebuilds | Last activity | |
|---|---|---|---|---|
| gentoo gitweb ↗ | 7.12.2 | 2 | 14 h | details › |
Versions & arches
| Version | Overlay | amd64 | arm64 | x86 | ppc64 | hppa | ppc | sparc | Committed | |
|---|---|---|---|---|---|---|---|---|---|---|
| 7.12.2 | gentoo | amd64 testing | arm64 testing | x86 testing | ppc64 testing | hppa testing | ppc testing | sparc testing | — | view · download · history ↗ |
| 5.4.0 | gentoo | amd64 stable | arm64 stable | x86 testing | ppc64 stable | hppa testing | ppc testing | sparc testing | — | view · download · history ↗ |
Use flags of 7.12.2
- cuda Enable NVIDIA CUDA support (computation on GPU)
- doc Add extra documentation (API, Javadoc, etc). It is recommended to enable per package instead of globally
- openmp Build support for the OpenMP (support parallel computing), requires >=sys-devel/gcc-4.2 built with USE="openmp"
- partition Enable graph partitioning and graph-partition-based orderings through sci-libs/metis or sci-libs/parmetis