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new file: c/CGAL/CGAL-4.11.1-intel-2020a.eb new file: c/CGAL/CGAL-5.0.2-intel-2020a.eb new file: d/DOLFIN/DOLFIN-2019.1.0-intel-2020a-Py-3.7.eb new file: f/FFC/FFC-2019.1.0-conda.eb new file: m/MATIO/MATIO-1.5.12-intel-2020a.eb new file: m/mshr/mshr-2019.1.0-conda.eb modified: o/OpenMPI/OpenMPI-1.10.7-GCC-6.3.0-2.27-noPBS.eb new file: o/OpenMPI/OpenMPI-3.1.6-GCCcore-8.3.0-noPBS.eb new file: s/SLEPc/SLEPc-3.13.3-intel-2020a.eb new file: s/SLEPc/SLEPc-3.9.2-intel-2020a.eb new file: t/Trilinos/Trilinos-12.12.1-intel-2020a-Py-3.7.eb
24 lines
850 B
Plaintext
24 lines
850 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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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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