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new file: l/libevent/libevent-2.1.12-GCCcore-14.2.0.eb new file: l/libfabric/libfabric-1.16.1-GCCcore-14.2.0.eb new file: l/libffi/libffi-3.4.5-GCCcore-14.2.0.eb new file: l/libpciaccess/libpciaccess-0.18.1-GCCcore-14.2.0.eb new file: l/libreadline/libreadline-8.2-GCCcore-13.3.0.eb new file: l/libreadline/libreadline-8.2-GCCcore-14.2.0.eb new file: l/libtool/libtool-2.4.7-GCCcore-14.2.0.eb new file: l/libxml2/libxml2-2.12.7-GCCcore-14.2.0.eb new file: m/Meson/Meson-1.4.0-GCCcore-14.2.0.eb new file: n/Ninja/Ninja-1.12.1-GCCcore-14.2.0.eb modified: o/OpenMPI/OpenMPI-5.0.5-GCC-14.2.0.eb new file: p/PMIx/PMIx-5.0.2-GCCcore-14.2.0.eb new file: p/Python/Python-3.12.3-GCCcore-14.2.0.eb new file: s/SQLite/SQLite-3.45.3-GCCcore-14.2.0.eb new file: t/Tcl/Tcl-8.6.14-GCCcore-14.2.0.eb new file: u/UCC/UCC-1.3.0-GCCcore-14.2.0.eb new file: u/UCX/UCX-1.16.0-GCCcore-14.2.0.eb new file: u/UnZip/UnZip-6.0-GCCcore-14.2.0.eb new file: x/xorg-macros/xorg-macros-1.20.1-GCCcore-14.2.0.eb
38 lines
1.0 KiB
Plaintext
38 lines
1.0 KiB
Plaintext
# IT4Innovations
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# LK 2024
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easyblock = 'ConfigureMake'
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name = 'numactl'
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version = '2.0.18'
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homepage = 'https://github.com/numactl/numactl'
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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': '14.2.0'}
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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 = ['8cd6c13f3096e9c2293c1d732f56e2aa37a7ada1a98deed3fac7bd6da1aaaaf6']
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builddependencies = [
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('binutils', '2.42'),
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('Autotools', '20231222'),
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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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