Install this package:
emerge -a sci-libs/metis
If the package is masked, you can unmask it using the autounmask tool or standard emerge options:
autounmask sci-libs/metis
Or alternatively:
emerge --autounmask-write -a sci-libs/metis
| Version | EAPI | Keywords | Slot |
|---|---|---|---|
| 5.2.1-r2 | 8 | amd64 arm arm64 ~hppa ~loong ~mips ~ppc ppc64 ~riscv ~s390 ~sparc ~x86 ~arm64-macos ~x64-macos | 0 |
<pkgmetadata> <maintainer type="project"> <email>sci@gentoo.org</email> <name>Gentoo Science Project</name> </maintainer> <longdescription lang="en"> METIS is a set of serial programs for partitioning graphs, partitioning finite element meshes, and producing fill reducing orderings for sparse matrices. The algorithms implemented in METIS are based on the multilevel recursive-bisection, multilevel k-way, and multi-constraint partitioning schemes. </longdescription> <use> <flag name="double-precision">Use double- rather than single-precision floating-point representation</flag> <flag name="int64">Use 64- rather than 32-bit integer representation (needed for > 2^31 vertices)</flag> </use> <upstream> <remote-id type="github">KarypisLab/METIS</remote-id> </upstream> </pkgmetadata>
Manage flags for this package:
euse -i <flag> -p sci-libs/metis |
euse -E <flag> -p sci-libs/metis |
euse -D <flag> -p sci-libs/metis
| Flag | Description | 5.2.1-r2 |
|---|---|---|
| double-precision | Use double- rather than single-precision floating-point representation | ✓ |
| examples | Install examples, usually source code | ✓ |
| int64 | Use 64- rather than 32-bit integer representation (needed for > 2^31 vertices) | ✓ |
| openmp | Build support for the OpenMP (support parallel computing), requires >=sys-devel/gcc-4.2 built with USE="openmp" | ✓ |
| Type | File | Size | Versions |
|---|
| Type | File | Size |
|---|---|---|
| DIST | metis-5.2.1.tar.gz | 4838377 bytes |