Install this package:
emerge -a sci-libs/ginkgo
If the package is masked, you can unmask it using the autounmask tool or standard emerge options:
autounmask sci-libs/ginkgo
Or alternatively:
emerge --autounmask-write -a sci-libs/ginkgo
| Version | EAPI | Keywords | Slot |
|---|---|---|---|
| 1.8.0 | 8 | ~amd64 ~x86 | 0 |
| 1.6.0 | 8 | ~amd64 ~x86 | 0 |
| 1.4.0-r3 | 8 | ~amd64 ~x86 | 0 |
| 1.10.0 | 8 | ~amd64 ~x86 | 0 |
<pkgmetadata> <maintainer type="person"> <email>tamiko@gentoo.org</email> <name>Matthias Maier</name> </maintainer> <maintainer type="project"> <email>sci@gentoo.org</email> <name>Gentoo Science Project</name> </maintainer> <longdescription lang="en"> Ginkgo is a high-performance linear algebra library for manycore systems, with a focus on sparse solution of linear systems. It is implemented using modern C++, with GPU kernels implemented in CUDA. </longdescription> <use> <flag name="cuda">Add support for cuda assimp (<pkg>dev-util/nvidia-cuda-toolkit</pkg>)</flag> <flag name="hwloc">Add support for hwloc (<pkg>sys-apps/hwloc</pkg>)</flag> </use> <upstream> <remote-id type="github">ginkgo-project/ginkgo</remote-id> </upstream> </pkgmetadata>
Manage flags for this package:
euse -i <flag> -p sci-libs/ginkgo |
euse -E <flag> -p sci-libs/ginkgo |
euse -D <flag> -p sci-libs/ginkgo
| Flag | Description | 1.8.0 | 1.6.0 | 1.4.0-r3 | 1.10.0 |
|---|---|---|---|---|---|
| cuda | Add support for cuda assimp (<pkg>dev-util/nvidia-cuda-toolkit</pkg>) | ✓ | ✓ | ✓ | ✓ |
| hwloc | Add support for hwloc (<pkg>sys-apps/hwloc</pkg>) | ✓ | ✓ | ✓ | ✓ |
| openmp | Build support for the OpenMP (support parallel computing), requires >=sys-devel/gcc-4.2 built with USE="openmp" | ⊕ | ⊕ | ⊕ | ⊕ |
| Type | File | Size | Versions |
|---|---|---|---|
| DIST | ginkgo-1.10.0.tar.gz | 13304835 bytes | 1.10.0 |
| DIST | ginkgo-1.6.0.tar.gz | 12788830 bytes | 1.6.0 |
| DIST | ginkgo-1.8.0.tar.gz | 13140660 bytes | 1.8.0 |
| Type | File | Size |
|---|---|---|
| DIST | ginkgo-1.4.0.tar.gz | 2574052 bytes |