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new file: c/CUDA/CUDA-10.1.243.eb new file: c/cuDNN/cuDNN-7.6.4.38-CUDA-10.1.243.eb modified: l/libreadline/libreadline-7.0.eb modified: n/numactl/numactl-2.0.12-GCCcore-8.2.0.eb new file: n/numactl/numactl-2.0.12-GCCcore-8.3.0.eb new file: p/PGI/PGI-19.7-GCC-8.3.0-2.32.eb modified: p/Py/Py-2.7.eb modified: p/Py/Py-3.6.eb new file: p/Python/Python-2.7.17-base.eb modified: p/Python/Python-3.6.8-base.eb new file: p/Python/Python-3.6.9-base.eb
37 lines
1.0 KiB
Plaintext
37 lines
1.0 KiB
Plaintext
# IT4Innovations 2019
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easyblock = 'ConfigureMake'
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name = 'numactl'
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version = '2.0.12'
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homepage = 'http://oss.sgi.com/projects/libnuma/'
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description = """
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The numactl program allows you to run your application program on specific
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cpu's and memory nodes. It does this by supplying a NUMA memory policy to
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the operating system before running your program. The libnuma library provides
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convenient ways for you to add NUMA memory policies into your own program.
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"""
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toolchain = {'name': 'GCCcore', 'version': '8.3.0'}
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toolchainopts = {'pic': True}
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source_urls = ['https://github.com/numactl/numactl/archive/']
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sources = ['v%(version)s.tar.gz']
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checksums = ['7c3e819c2bdeb883de68bafe88776a01356f7ef565e75ba866c4b49a087c6bdf']
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builddependencies = [
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('binutils', '2.32'),
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('Autotools', '20180311', '', True),
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]
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preconfigopts = "./autogen.sh && "
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sanity_check_paths = {
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'files': ['bin/numactl', 'bin/numastat', 'lib/libnuma.%s' % SHLIB_EXT, 'lib/libnuma.a'],
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'dirs': ['share/man', 'include']
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}
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moduleclass = 'tools'
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