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new file: d/darshan/darshan-util-3.1.4-intel-2017b.eb new file: g/gnuplot/gnuplot-5.2.0-intel-2017b.eb new file: l/libgd/libgd-2.2.4-intel-2017b.eb modified: o/OpenMPI/OpenMPI-3.0.0-GCC-6.3.0-2.27.eb new file: p/Perl/Perl-5.26.1-intel-2017b.eb
52 lines
1.7 KiB
Plaintext
52 lines
1.7 KiB
Plaintext
easyblock = "ConfigureMake"
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name = "darshan-runtime"
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version = "3.1.4"
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homepage = 'http://www.mcs.anl.gov/research/projects/darshan/'
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description = """Darshan is designed to capture an accurate picture of
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application I/O behavior, including properties such as patterns of
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access within files, with minimum overhead. The name is taken from a
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Sanskrit word for “sight” or “vision”.
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Darshan can be used to investigate and tune the I/O behavior of
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complex HPC applications. In addition, Darshan’s lightweight design
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makes it suitable for full time deployment for workload
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characterization of large systems. We hope that such studies will
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help the storage research community to better serve the needs of
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scientific computing.
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Darshan was originally developed on the IBM Blue Gene series of
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computers deployed at the Argonne Leadership Computing Facility, but
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it is portable across a wide variety of platforms include the Cray
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XE6, Cray XC30, and Linux clusters. Darshan routinely instruments
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jobs using up to 786,432 compute cores on the Mira system at ALCF.
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"""
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usage = """
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Export the environment variable DARSHAN_LOG_PATH to where the logging
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data should be written, e.g.
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LD_PRELOAD=$EBROOTDARSHANMINRUNTIME/lib/libdarshan.so \
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DARSHAN_LOG_PATH=/path/to/your/logdir \
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"""
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toolchain = {'name': 'intel', 'version': '2017b'}
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sources = ['http://ftp.mcs.anl.gov/pub/darshan/releases/darshan-%s.tar.gz' % version]
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subpath = 'darshan-runtime'
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preconfigopts = 'cd %s;' % subpath
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configopts = '--with-mem-align=8 --with-log-path-by-env=DARSHAN_LOG_PATH --with-jobid-env=SLURM_JOBID CC=mpicc'
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prebuildopts = 'cd %s;' % subpath
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preinstallopts = 'cd %s;' % subpath
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sanity_check_paths = {
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'files': ["lib/libdarshan.so"],
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'dirs': []
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}
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moduleclass = 'lib'
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