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parmetis: Use KarypisLab GitHub mirror instead of glaros source
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parent
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commit
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@ -1,31 +1,43 @@
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{ lib, stdenv
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, fetchurl
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, cmake
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, mpi
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{
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lib,
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stdenv,
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fetchFromGitHub,
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cmake,
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metis,
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mpi,
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}:
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stdenv.mkDerivation rec {
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stdenv.mkDerivation {
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pname = "parmetis";
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version = "4.0.3";
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src = fetchurl {
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url = "http://glaros.dtc.umn.edu/gkhome/fetch/sw/parmetis/parmetis-${version}.tar.gz";
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sha256 = "0pvfpvb36djvqlcc3lq7si0c5xpb2cqndjg8wvzg35ygnwqs5ngj";
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src = fetchFromGitHub {
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owner = "KarypisLab";
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repo = "ParMETIS";
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rev = "d90a2a6cf08d1d35422e060daa28718376213659";
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hash = "sha256-22YQxwC0phdMLX660wokRgmAif/9tRbUmQWwNMZ//7M=";
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};
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nativeBuildInputs = [ cmake ];
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enableParallelBuilding = true;
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buildInputs = [ mpi ];
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# metis and GKlib are packaged with distribution
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# AUR https://aur.archlinux.org/packages/parmetis/ has reported that
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# it easier to build with the included packages as opposed to using the metis
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# package. Compilation time is short.
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configurePhase = ''
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make config metis_path=$PWD/metis gklib_path=$PWD/metis/GKlib prefix=$out
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tar xf ${metis.src}
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mv metis-* metis
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make config metis_path=metis gklib_path=metis/GKlib prefix=$out
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'';
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meta = with lib; {
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description = "MPI-based parallel library that implements a variety of algorithms for partitioning unstructured graphs, meshes, and for computing fill-reducing orderings of sparse matrices";
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description = "Parallel Graph Partitioning and Fill-reducing Matrix Ordering";
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longDescription = ''
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MPI-based parallel library that implements a variety of algorithms for
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partitioning unstructured graphs, meshes, and for computing fill-reducing
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orderings of sparse matrices.
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The algorithms implemented in ParMETIS are based on the multilevel
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recursive-bisection, multilevel k-way, and multi-constraint partitioning
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schemes
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'';
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homepage = "http://glaros.dtc.umn.edu/gkhome/metis/parmetis/overview";
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platforms = platforms.all;
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license = licenses.unfree;
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