easyconfigs-it4i/m/METIS/METIS-5.1.0-intel-2020a.eb
Lukáš Krupčík 039bd42f11 new file: m/METIS/METIS-5.1.0-intel-2020a.eb
new file:   m/MUMPS/MUMPS-5.2.1-intel-2020a-metis.eb
	new file:   p/PETSc/PETSc-3.12.4-intel-2020a.eb
	new file:   p/Py/Py-3.8.eb
	new file:   p/Python/Python-3.8.2-GCC-8.3.0-2.32-base.eb
	new file:   s/SCOTCH/SCOTCH-6.0.9-intel-2020a.eb
	new file:   s/SuiteSparse/SuiteSparse-5.6.0-intel-2020a-METIS-5.1.0.eb
	new file:   s/slepc4py/slepc4py-3.12.0-Py-3.7.eb
2020-03-18 11:56:37 +01:00

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name = 'METIS'
version = '5.1.0'
homepage = 'http://glaros.dtc.umn.edu/gkhome/metis/metis/overview'
description = """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."""
toolchain = {'name': 'intel', 'version': '2020a'}
toolchainopts = {'pic': True}
sources = [SOURCELOWER_TAR_GZ]
source_urls = [
'http://glaros.dtc.umn.edu/gkhome/fetch/sw/metis',
'http://glaros.dtc.umn.edu/gkhome/fetch/sw/metis/OLD',
]
# We use 32bit for indices and 64bit for content
patches = ['METIS-5.1.0-use-doubles.patch']
builddependencies = [('CMake', '3.16.2', '', True)]
configopts = ['', 'shared=1']
moduleclass = 'math'