b4e4e76872
Add darshan-3.3.0 tags to darshan util/runtime, AutoPerf variants, AutoPerf XC variants, and HDF5 module support to darshan-runtime.
101 lines
4.6 KiB
Python
101 lines
4.6 KiB
Python
# Copyright 2013-2021 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 os
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class DarshanRuntime(Package):
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"""Darshan (runtime) is a scalable HPC I/O characterization tool
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designed to capture an accurate picture of application I/O behavior,
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including properties such as patterns of access within files, with
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minimum overhead. DarshanRuntime package should be installed on
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systems where you intend to instrument MPI applications."""
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homepage = "http://www.mcs.anl.gov/research/projects/darshan/"
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url = "http://ftp.mcs.anl.gov/pub/darshan/releases/darshan-3.1.0.tar.gz"
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git = "https://xgitlab.cels.anl.gov/darshan/darshan.git"
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maintainers = ['shanedsnyder', 'carns']
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version('master', branch='master', submodules=True)
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version('3.3.0', sha256='2e8bccf28acfa9f9394f2084ec18122c66e45d966087fa2e533928e824fcb57a', preferred=True)
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version('3.3.0-pre2', sha256='0fc09f86f935132b7b05df981b05cdb3796a1ea02c7acd1905323691df65e761')
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version('3.3.0-pre1', sha256='1c655359455b5122921091bab9961491be58a5f0158f073d09fe8cc772bd0812')
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version('3.2.1', sha256='d63048b7a3d1c4de939875943e3e7a2468a9034fcb68585edbc87f57f622e7f7')
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version('3.2.0', sha256='4035435bdc0fa2a678247fbf8d5a31dfeb3a133baf06577786b1fe8d00a31b7e')
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version('3.1.8', sha256='3ed51c8d5d93b4a8cbb7d53d13052140a9dffe0bc1a3e1ebfc44a36a184b5c82')
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version('3.1.7', sha256='9ba535df292727ac1e8025bdf2dc42942715205cad8319d925723fd88709e8d6')
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version('3.1.6', sha256='21cb24e2a971c45e04476e00441b7fbea63d2afa727a5cf8b7a4a9d9004dd856')
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version('3.1.0', sha256='b847047c76759054577823fbe21075cfabb478cdafad341d480274fb1cef861c')
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version('3.0.0', sha256='95232710f5631bbf665964c0650df729c48104494e887442596128d189da43e0')
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depends_on('mpi', when='+mpi')
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depends_on('zlib')
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depends_on('hdf5', when='+hdf5')
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depends_on('papi', when='+apxc')
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variant('slurm', default=False, description='Use Slurm Job ID')
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variant('cobalt', default=False, description='Use Coblat Job Id')
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variant('pbs', default=False, description='Use PBS Job Id')
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variant('mpi', default=True, description='Compile with MPI support')
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variant('hdf5', default=False, description='Compile with HDF5 module')
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variant('apmpi', default=False, description='Compile with AutoPerf MPI module')
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variant('apmpi_sync', default=False, description='Compile with AutoPerf MPI module (with collective synchronization timing)')
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variant('apxc', default=False, description='Compile with AutoPerf XC module')
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conflicts('+hdf5', when='@:3.1.8',
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msg='+hdf5 variant only available starting from version 3.2.0')
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conflicts('+apmpi', when='@:3.2.1',
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msg='+apmpi variant only available starting from version 3.3.0')
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conflicts('+apmpi_sync', when='@:3.2.1',
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msg='+apmpi variant only available starting from version 3.3.0')
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conflicts('+apxc', when='@:3.2.1',
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msg='+apxc variant only available starting from version 3.3.0')
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def install(self, spec, prefix):
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job_id = 'NONE'
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if '+slurm' in spec:
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job_id = 'SLURM_JOBID'
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if '+cobalt' in spec:
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job_id = 'COBALT_JOBID'
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if '+pbs' in spec:
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job_id = 'PBS_JOBID'
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# TODO: BG-Q and other platform configure options
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options = []
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if '+mpi' in spec:
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options = ['CC=%s' % spec['mpi'].mpicc]
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else:
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options = ['--without-mpi']
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if '+hdf5' in spec:
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options.extend(['--enable-hdf5-mod=%s' % spec['hdf5'].prefix])
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if '+apmpi' in spec:
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options.extend(['--enable-apmpi-mod'])
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if '+apmpi_sync' in spec:
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options.extend(['--enable-apmpi-mod',
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'--enable-apmpi-coll-sync'])
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if '+apxc' in spec:
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options.extend(['--enable-apxc-mod'])
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options.extend(['--with-mem-align=8',
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'--with-log-path-by-env=DARSHAN_LOG_DIR_PATH',
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'--with-jobid-env=%s' % job_id,
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'--with-zlib=%s' % spec['zlib'].prefix])
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with working_dir('spack-build', create=True):
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configure = Executable('../darshan-runtime/configure')
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configure('--prefix=%s' % prefix, *options)
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make()
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make('install')
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def setup_run_environment(self, env):
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# default path for log file, could be user or site specific setting
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darshan_log_dir = os.environ['HOME']
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env.set('DARSHAN_LOG_DIR_PATH', darshan_log_dir)
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