eea786f4e8
- remove the old LGPL license headers from all files in Spack - add SPDX headers to all files - core and most packages are (Apache-2.0 OR MIT) - a very small number of remaining packages are LGPL-2.1-only
49 lines
1.8 KiB
Python
49 lines
1.8 KiB
Python
# Copyright 2013-2018 Lawrence Livermore National Security, LLC and other
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# Spack Project Developers. See the top-level COPYRIGHT file for details.
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#
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# SPDX-License-Identifier: (Apache-2.0 OR MIT)
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from spack import *
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import glob
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class Minigmg(Package):
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"""miniGMG is a compact benchmark for understanding the performance
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challenges associated with geometric multigrid solvers
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found in applications built from AMR MG frameworks
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like CHOMBO or BoxLib when running
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on modern multi- and manycore-based supercomputers.
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It includes both productive reference examples as well as
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highly-optimized implementations for CPUs and GPUs.
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It is sufficiently general that it has been used to evaluate
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a broad range of research topics including PGAS programming models
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and algorithmic tradeoffs inherit in multigrid. miniGMG was developed
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under the CACHE Joint Math-CS Institute.
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Note, miniGMG code has been supersceded by HPGMG. """
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homepage = "http://crd.lbl.gov/departments/computer-science/PAR/research/previous-projects/miniGMG/"
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url = "http://crd.lbl.gov/assets/Uploads/FTG/Projects/miniGMG/miniGMG.tar.gz"
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version('master', '975a2a118403fc0024b5e04cef280e95')
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depends_on('mpi')
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phases = ['build', 'install']
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def build(self, spec, prefix):
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cc = Executable(spec['mpi'].mpicc)
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cc('-O3', self.compiler.openmp_flag, 'miniGMG.c',
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'mg.c', 'box.c', 'solver.c', 'operators.ompif.c', 'timer.x86.c',
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'-D__MPI', '-D__COLLABORATIVE_THREADING=6',
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'-D__TEST_MG_CONVERGENCE', '-D__PRINT_NORM', '-D__USE_BICGSTAB',
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'-o', 'run.miniGMG', '-lm')
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def install(self, spec, prefix):
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mkdir(prefix.bin)
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install('run.miniGMG', prefix.bin)
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mkdir(prefix.jobs)
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files = glob.glob('job*')
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for f in files:
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install(f, prefix.jobs)
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