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modified: l/LAMMPS/LAMMPS-2Aug2023_update1-foss-2021b-kokkos.eb new file: l/LAMMPS/LAMMPS-2Aug2023_update2-foss-2023a-kokkos-CUDA-12.1.1.eb new file: l/LAMMPS/LAMMPS-2Aug2023_update2-foss-2023a-kokkos.eb modified: m/METIS/METIS-5.1.0-intel-2020a.eb modified: p/PETSc/PETSc-3.12.4-intel-2020a.eb modified: s/SCOTCH/SCOTCH-6.0.9-intel-2020a.eb modified: s/SLEPc/SLEPc-3.13.3-intel-2020a.eb new file: y/Yambo/Yambo-5.2.3-intel-2020a-SLEPc.eb
25 lines
931 B
Plaintext
25 lines
931 B
Plaintext
# IT4Innovations 2020
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# LK
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name = 'SLEPc'
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version = '3.13.3'
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homepage = 'https://www.grycap.upv.es/slepc/'
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description = """SLEPc (Scalable Library for Eigenvalue Problem Computations) is a software library for the solution
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of large scale sparse eigenvalue problems on parallel computers. It is an extension of PETSc and can be used for
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either standard or generalized eigenproblems, with real or complex arithmetic. It can also be used for computing a
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partial SVD of a large, sparse, rectangular matrix, and to solve quadratic eigenvalue problems."""
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toolchain = {'name': 'intel', 'version': '2020a'}
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toolchainopts = {'usempi': True, 'openmp': True}
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source_urls = ['https://slepc.upv.es/download/distrib']
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sources = [SOURCELOWER_TAR_GZ]
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checksums = ['23d179c22b4b2f22d29fa0ac0a62f5355a964d3bc245a667e9332347c5aa8f81']
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dependencies = [('PETSc', '3.12.4')]
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petsc_arch = 'installed-arch-linux2-c-opt'
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moduleclass = 'numlib'
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