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new file: n/numba/numba-0.48.0-Py-3.7.eb modified: p/PETSc/PETSc-3.12.4-intel-2020a.eb new file: p/petsc4py/petsc4py-3.12.0-Py-3.7.eb new file: p/pybind11/pybind11-2.4.3-Py-3.7.eb new file: s/SLEPc/SLEPc-3.12.2-intel-2020a.eb new file: s/scipy/scipy-1.4.1-Py-3.7.eb modified: s/slepc4py/slepc4py-3.12.0-Py-3.7.eb
24 lines
915 B
Plaintext
24 lines
915 B
Plaintext
# IT4Innovations 2020
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name = 'SLEPc'
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version = '3.12.2'
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homepage = 'https://slepc.upv.es/'
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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 = ['a586ce572a928ed87f04961850992a9b8e741677397cbaa3fb028323eddf4598']
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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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