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author | Sébastien Fabbro <bicatali@gentoo.org> | 2015-11-19 23:51:18 +0000 |
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committer | Sébastien Fabbro <bicatali@gentoo.org> | 2015-11-19 23:51:18 +0000 |
commit | f08452b60ccd4e03c721a86c7b1de7823c0eab4e (patch) | |
tree | 88f4af5d813b213341120f745e04dc68f0aa1efe /sci-libs/armadillo/metadata.xml | |
parent | dev-python/autobahn: version bump, fix sandbox (diff) | |
download | bicatali-f08452b60ccd4e03c721a86c7b1de7823c0eab4e.tar.gz bicatali-f08452b60ccd4e03c721a86c7b1de7823c0eab4e.tar.bz2 bicatali-f08452b60ccd4e03c721a86c7b1de7823c0eab4e.zip |
sci-libs/armadillo: version bump, fix superlu detection
Package-Manager: portage-2.2.25
Diffstat (limited to 'sci-libs/armadillo/metadata.xml')
-rw-r--r-- | sci-libs/armadillo/metadata.xml | 40 |
1 files changed, 40 insertions, 0 deletions
diff --git a/sci-libs/armadillo/metadata.xml b/sci-libs/armadillo/metadata.xml new file mode 100644 index 0000000..af978f1 --- /dev/null +++ b/sci-libs/armadillo/metadata.xml @@ -0,0 +1,40 @@ +<?xml version="1.0" encoding="UTF-8"?> +<!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd"> +<pkgmetadata> + <herd>sci</herd> + <longdescription lang="en"> + Armadillo is a C++ linear algebra library (matrix maths) aiming + towards a good balance between speed and ease of use. Integer, + floating point and complex numbers are supported, as well as a + subset of trigonometric and statistics functions. Various matrix + decompositions are provided through optional integration with LAPACK + and ATLAS libraries. + A delayed evaluation approach is employed (during compile time) to + combine several operations into one and reduce (or eliminate) the + need for temporaries. This is accomplished through recursive + templates and template meta-programming. +</longdescription> + <use> + <flag name="atlas"> + Link with <pkg>sci-libs/atlas</pkg> libraries for cblas and + clapack + </flag> + <flag name="arpack"> + Link with <pkg>sci-libs/arpack</pkg> libraries for eigen decomposition + </flag> + <flag name="mkl"> + Use matrix allocation from the Intel MKL <pkg>sci-libs/mkl</pkg> + </flag> + <flag name="tbb"> + Use matrix allocation from the Threads Building Blocks + <pkg>dev-cpp/tbb</pkg> + </flag> + <flag name="superlu"> + Use SuperLU for sparse linear equation solving + <pkg>sci-libs/superlu</pkg> + </flag> + </use> + <upstream> + <remote-id type="sourceforge">arma</remote-id> + </upstream> +</pkgmetadata> |