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{numlib}[foss/2023a] PETSc v3.20.3, SuperLU_DIST v8.1.2, ParMETIS v4.0.3 #19686

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45 changes: 45 additions & 0 deletions easybuild/easyconfigs/p/PETSc/PETSc-3.20.3-foss-2023a.eb
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##
# Author: Robert Mijakovic <robert.mijakovic@lxp.lu>
# Author: Jasper Grimm (UoY)
##
name = 'PETSc'
version = '3.20.3'

homepage = 'https://www.mcs.anl.gov/petsc'
description = """PETSc, pronounced PET-see (the S is silent), is a suite of data structures and routines for the
scalable (parallel) solution of scientific applications modeled by partial differential equations."""

toolchain = {'name': 'foss', 'version': '2023a'}
toolchainopts = {'openmp': True, 'usempi': True, 'pic': True}

source_urls = [
'https://web.cels.anl.gov/projects/petsc/download/release-snapshots',
]
sources = [SOURCELOWER_TAR_GZ]
checksums = ['75a94fb44df0512f51ad093fa784e56b61f51b7ead5956fbe49185c203f8c245']

builddependencies = [('CMake', '3.26.3')]

dependencies = [
('Python', '3.11.3'),
('SciPy-bundle', '2023.07'),
('Boost', '1.82.0'),
('METIS', '5.1.0'),
('SCOTCH', '7.0.3'),
('MUMPS', '5.6.1', '-metis'),
('SuiteSparse', '7.1.0'),
('Hypre', '2.29.0'),
('ParMETIS', '4.0.3'),
('SuperLU_DIST', '8.1.2'),
('mpi4py', '3.1.4'),
]

configopts = '--LIBS="$LIBS -lrt" --with-mpi4py=0 '

shared_libs = 1

# only required when building PETSc in a SLURM job environment
# configopts += '--with-batch=1 --known-mpi-shared-libraries=1 --known-64-bit-blas-indices=0 '
# prebuildopts = "srun ./conftest-arch-linux2-c-opt && ./reconfigure-arch-linux2-c-opt.py && "

moduleclass = 'numlib'
29 changes: 29 additions & 0 deletions easybuild/easyconfigs/p/ParMETIS/ParMETIS-4.0.3-gompi-2023a.eb
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##
# Author: Robert Mijakovic <robert.mijakovic@lxp.lu>
##
name = 'ParMETIS'
version = '4.0.3'

homepage = 'http://glaros.dtc.umn.edu/gkhome/metis/parmetis/overview'
description = """ParMETIS is an MPI-based parallel library that implements a variety of algorithms for partitioning
unstructured graphs, meshes, and for computing fill-reducing orderings of sparse matrices. ParMETIS extends the
functionality provided by METIS and includes routines that are especially suited for parallel AMR computations and
large scale numerical simulations. The algorithms implemented in ParMETIS are based on the parallel multilevel k-way
graph-partitioning, adaptive repartitioning, and parallel multi-constrained partitioning schemes."""

toolchain = {'name': 'gompi', 'version': '2023a'}
toolchainopts = {'usempi': True, 'pic': True}

source_urls = [
'http://glaros.dtc.umn.edu/gkhome/fetch/sw/parmetis',
'http://glaros.dtc.umn.edu/gkhome/fetch/sw/parmetis/OLD',
]
sources = [SOURCELOWER_TAR_GZ]
checksums = ['f2d9a231b7cf97f1fee6e8c9663113ebf6c240d407d3c118c55b3633d6be6e5f']

builddependencies = [('CMake', '3.26.3')]

# Build static and shared libraries
configopts = ['', '-DSHARED=1']

moduleclass = 'math'
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easyblock = "EB_SuperLU"

name = 'SuperLU_DIST'
version = '8.1.2'

homepage = 'https://crd-legacy.lbl.gov/~xiaoye/SuperLU/'
description = """SuperLU is a general purpose library for the direct solution of large, sparse, nonsymmetric systems
of linear equations on high performance machines."""

toolchain = {'name': 'foss', 'version': '2023a'}
toolchainopts = {'pic': True, 'openmp': True}

github_account = 'xiaoyeli'
source_urls = [GITHUB_LOWER_SOURCE]
sources = ["v%(version)s.tar.gz"]
checksums = ['7b16c442bb01ea8b298c0aab9a2584aa4615d09786aac968cb2f3118c058206b']

builddependencies = [('CMake', '3.26.3')]

dependencies = [
('ParMETIS', '4.0.3'),
]

configopts = '-DTPL_PARMETIS_INCLUDE_DIRS="${EBROOTPARMETIS}/include" '
configopts += '-DTPL_PARMETIS_LIBRARIES="${EBROOTPARMETIS}/lib/libparmetis.a;${EBROOTPARMETIS}/lib/libmetis.a" '

# Some tests run longer than default 1500s timeout on fairly big machine (36 cores).
# Include only first four tests, which should be fairly small to run
pretestopts = 'export ARGS="$ARGS --tests-regex pdtest_[21]x1_[13]_2_8_20_SP" && '

postinstallcmds = [
"rm %(installdir)s/lib64/libsuperlu.a", # remove broken symlink to libsuperlu.a
]

sanity_check_paths = {
'files': ['lib64/libsuperlu_dist.a'],
'dirs': ['include']
}

moduleclass = 'numlib'
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