new file: a/ADIOS2/ADIOS2-2.9.2-gompi-2020b.eb

new file:   a/ANSYS/ANSYS-2023R2-intel-2022.12-alamerini.eb
	new file:   c/cuTENSOR/cuTENSOR-2.0.0.7-CUDA-12.2.0.eb
	new file:   n/NWChem/NWChem-7.2.2-intel-2020a-Python-3.8.2-karolina.eb
	new file:   n/NWChem/NWChem-7.2.2-intel-2022a.eb
	new file:   o/OpenMPI/OpenMPI-4.1.4-GCC-10.2.0-CUDA-11.7.0.eb
	new file:   o/openPMD-api/openPMD-api-0.15.2-gompi-2020b.eb
	new file:   p/pkgconf/pkgconf-1.8.0-GCCcore-10.2.0.eb
	new file:   p/pkgconfig/pkgconf-1.8.0-GCCcore-10.2.0.eb
	new file:   s/Smilei/Smilei-5.0-intel-2020b-CUDA-12.2.0.eb
	new file:   s/Smilei/Smilei-5.0-intel-2020b.eb
	new file:   u/UCC/UCC-1.1.0-GCCcore-10.2.0.eb
	new file:   u/UCX-CUDA/UCX-CUDA-1.12.1-GCCcore-10.2.0-CUDA-11.7.0.eb
	new file:   u/UCX/UCX-1.12.1-GCCcore-10.2.0.eb
This commit is contained in:
Lukas Krupcik 2023-11-29 11:52:30 +01:00
parent d711dd56c5
commit 41d895c99c
14 changed files with 632 additions and 0 deletions

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# IT4Innovations
# LK 2023
easyblock = "CMakeMake"
name = "ADIOS2"
version = "2.9.2"
homepage = 'https://github.com/ornladios/ADIOS2/'
description = """This is ADIOS2: The Adaptable Input/Output (I/O) System.
ADIOS2 is developed as part of the United States Department of Energy's Exascale Computing
Project. It is a framework for scientific data I/O to publish and subscribe to data when
and where required.
ADIOS2 transports data as groups of self-describing variables and attributes across different
media types (such as files, wide-area-networks, and remote direct memory access) using a
common application programming interface for all transport modes. ADIOS2 can be used on
supercomputers, cloud systems, and personal computers. """
toolchain = {'name': 'gompi', 'version': '2020b'}
source_urls = ['https://github.com/ornladios/ADIOS2/archive/refs/tags/']
sources = ['v%(version)s.tar.gz']
checksums = ['78309297c82a95ee38ed3224c98b93d330128c753a43893f63bbe969320e4979']
builddependencies = [('CMake', '3.20.1')]
dependencies = [
('HDF5', '1.10.7'),
('c-blosc', '1.21.0'),
('libfabric', '1.11.0'),
]
separate_build_dir = True
sanity_check_paths = {
'files': ['bin/adios2-config', 'include/adios2.h', 'include/adios2_c.h'],
'dirs': ['bin', 'include', 'lib64']
}
moduleclass = 'tools'

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# IT4Innovations
# LK 2023
name = 'ANSYS'
version = '2023R2'
versionsuffix = '-alamerini'
homepage = 'http://www.ansys.com'
description = """ANSYS simulation software enables organizations to confidently predict
how their products will operate in the real world. We believe that every product is
a promise of something greater. """
toolchain = {'name': 'intel', 'version': '2022.12'}
sources = [
{'filename': '%(name)s%(version)s_LINX64_DISK1.iso', 'extract_cmd': '7z x -aos %s'},
{'filename': '%(name)s%(version)s_LINX64_DISK2.iso', 'extract_cmd': '7z x -aos %s'},
{'filename': '%(name)s%(version)s_LINX64_DISK3.iso', 'extract_cmd': '7z x -aos %s'},
]
checksums = [
{'ANSYS2023R2_LINX64_DISK1.iso': '4f952592f1f95a6f3715dbaeb6e56b2625f6826a80c5842234406c7741f29e1f'},
{'ANSYS2023R2_LINX64_DISK2.iso': 'd02fd9e4db1a08dc867b771979f5d9ffa4d69fd94740e60444e856911fb89ce0'},
{'ANSYS2023R2_LINX64_DISK3.iso': 'd167f30a3cf632a234111e9a398dae6f824cb0eae5a7cb7afa1453474726de4a'},
]
#dependencies = [
# ('libGLU', '9.0.2'), # mame v systemu, pro jistotu zkusime bez protoze stary CentOS
# ('libnsl', '2.0.0'), # moc nove pro CentOS 7!!!
#]
osdependencies = [('p7zip', 'p7zip-plugins')]
import os
license_server = os.getenv('EB_ANSYS_LICENSE_SERVER', '150.217.19.70')
license_server_port = os.getenv('EB_ANSYS_LICENSE_SERVER_PORT', '2335:1085')
moduleclass = 'tools'

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# IT4Innovations
# LK 2023
easyblock = 'Tarball'
name = 'cuTENSOR'
version = '2.0.0.7'
versionsuffix = '-CUDA-12.2.0'
homepage = 'https://developer.nvidia.com/cutensor'
description = """The cuTENSOR Library is a GPU-accelerated tensor linear algebra library providing tensor contraction,
reduction and elementwise operations."""
toolchain = SYSTEM
source_urls = ['https://developer.download.nvidia.com/compute/cutensor/redist/libcutensor/linux-x86_64/']
sources = ['libcutensor-linux-x86_64-%(version)s-archive.tar.xz']
checksums = ['df6338aed18e5b6ae0c49521053d1606d2a41e187d7f5eccf9180af6bbc4ef68']
dependencies = [
('CUDA', '12.2.0')
]
sanity_check_paths = {
'files': ['include/cutensor.h', 'include/cutensor/types.h',
'lib/12/libcutensor.so',
'lib/12/libcutensor_static.a'],
'dirs': [],
}
modextrapaths = {
'LD_LIBRARY_PATH': ['lib/12'],
'LIBRARY_PATH': ['lib/12'],
}
moduleclass = 'lib'

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# IT4Innovations
# LK 2023
# rucni kompilace - viz https://github.com/nwchemgit/nwchem/blob/master/INSTALL
# src/:
# sed -i "s|-xHost|-core-avx2|g" config/makefile-legacy.h
# sed -i "s|-xHost|-core-avx2|g" config/makefile.h
# make nwchem_config NWCHEM_MODULES="all python"
# make USE_INTERNALBLAS=y USE_MPI=y
#
# zkopirovat data:
# cp bin/nwchem -> bin slozka
# cp -r src/basis/libraries -> data slozka
# cp -r src/data/* -> data slozka
# cp -r src/nwpw/libraryps -> data slozka
# eb NWChem-7.0.2-intel-2020a-Python-3.8.2-karolina.eb --module-only
name = 'NWChem'
version = '7.0.2'
versionsuffix = '-Python-%(pyver)s-karolina'
homepage = 'http://www.nwchem-sw.org'
description = """NWChem aims to provide its users with computational chemistry tools that are scalable both in
their ability to treat large scientific computational chemistry problems efficiently, and in their use of available
parallel computing resources from high-performance parallel supercomputers to conventional workstation clusters.
NWChem software can handle: biomolecules, nanostructures, and solid-state; from quantum to classical, and all
combinations; Gaussian basis functions or plane-waves; scaling from one to thousands of processors; properties
and relativity."""
toolchain = {'name': 'intel', 'version': '2020a'}
toolchainopts = {'i8': True, 'optarch':'march=core-avx2'}
source_urls = ['https://github.com/nwchemgit/nwchem/releases/download/v%(version)s-release/']
sources = ['v%(version)s-release.tar.gz']
patches = [
'NWChem_fix-date.patch',
# 'NWChem-7.0.0_external-ga-peigs-flag.patch',
]
dependencies = [
# ('GlobalArrays', '5.7.2'),
('Python', '3.8.2', '-GCCcore-9.3.0', True),
('OpenMPI', '4.1.1', '-GCC-10.3.0', True)
]
preconfigopts = ' export NWCHEM_TOP=%(builddir)s/nwchem-%(version)s-release && '
preconfigopts += ' touch $NWCHEM_TOP/src/config/nwchem_config.h && '
preconfigopts += ' sed -i "s|-xHost|-core-avx2|g" $NWCHEM_TOP/src/config/makefile-legacy.h && '
preconfigopts += 'sed -i "s|-xHost|-core-avx2|g" $NWCHEM_TOP/src/config/makefile.h && '
preconfigopts += ' make -C "/home/opr0019/.local/easybuild/build/NWChem/7.0.2/intel-2020a-Python-3.8.2/nwchem-7.0.2-release/src" nwchem_config NWCHEM_MODULES="all python" && '
configopts = ' USE_INTERNALBLAS=yes USE_MPI=yes '
buildopts = ' USE_INTERNALBLAS=yes USE_MPI=yes '
modules = 'all python'
moduleclass = 'chem'
# rucni kompilace
# src/:
# sed -i "s|-xHost|-core-avx2|g" config/makefile-legacy.h
# sed -i "s|-xHost|-core-avx2|g" config/makefile.h
# make nwchem_config NWCHEM_MODULES="all python"
# make USE_INTERNALBLAS=y USE_MPI=y

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# IT4Innovations
# LK 2023
name = 'NWChem'
version = '7.2.2'
local_verdate = '2023-11-03'
local_revision = '74936fb9'
homepage = 'https://nwchemgit.github.io/'
description = """NWChem aims to provide its users with computational chemistry tools that are scalable both in
their ability to treat large scientific computational chemistry problems efficiently, and in their use of available
parallel computing resources from high-performance parallel supercomputers to conventional workstation clusters.
NWChem software can handle: biomolecules, nanostructures, and solid-state; from quantum to classical, and all
combinations; Gaussian basis functions or plane-waves; scaling from one to thousands of processors; properties
and relativity."""
toolchain = {'name': 'intel', 'version': '2022a'}
toolchainopts = {'i8': True}
source_urls = ['https://github.com/nwchemgit/nwchem/releases/download/v%(version)s-release/']
sources = ['nwchem-%%(version)s-release.revision-%s-src.%s.tar.bz2' % (local_revision, local_verdate)]
#patches = [
# 'NWChem-7.0.2_fix_gnumakefile.patch',
# 'NWChem-7.0.2_fix_for_python_3_10.patch',
#]
checksums = [
'47f19f2d59e988d33fc4fe067a97da5d15a7ed1167d5acd644dbe84065c19729',
# '89c634a652d4c8c358f8388ac01ee441659e3c0256c39b6494e2885c91f9aca4', # NWChem-7.0.2_fix_gnumakefile.patch
# '2da647217ad72d929f1d495386871a32b7176beb52cbc3dabebbb56abb407e36', # NWChem-7.0.2_fix_for_python_3_10.patch
]
dependencies = [
('GlobalArrays', '5.8.1'),
('Python', '3.10.4'),
]
preconfigopts = 'export EXTRA_LIBS=-lutil && '
modules = 'all python'
moduleclass = 'chem'

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# IT4Innovations
# BS 2023
name = 'OpenMPI'
version = '4.1.4'
versionsuffix = '-CUDA-11.7.0'
homepage = 'https://www.open-mpi.org/'
description = """The Open MPI Project is an open source MPI-3 implementation."""
toolchain = {'name': 'GCC', 'version': '10.2.0'}
source_urls = ['https://www.open-mpi.org/software/ompi/v%(version_major_minor)s/downloads']
sources = [SOURCELOWER_TAR_BZ2]
checksums = [
'92912e175fd1234368c8730c03f4996fe5942e7479bb1d10059405e7f2b3930d', # openmpi-4.1.4.tar.bz2
]
builddependencies = [
('pkgconf', '1.8.0'),
('Perl', '5.32.0'),
('Autotools', '20200321'),
]
dependencies = [
('zlib', '1.2.11'),
('hwloc', '2.2.0'),
('libevent', '2.1.12'),
('UCX', '1.12.1', '-GCCcore-10.2.0', True),
('UCX-CUDA', '1.12.1', '-GCCcore-10.2.0-CUDA-11.7.0', True),
('libfabric', '1.11.0'),
('PMIx', '3.1.5'),
('UCC', '1.1.0'),
('CUDA', '11.7.0', '', True),
]
preconfigopts = './autogen.pl --force && '
# IT4I-specific settings
configopts = '--enable-shared --enable-mpi-thread-multiple --with-verbs '
configopts += '--enable-mpirun-prefix-by-default '
configopts += '--with-hwloc=$EBROOTHWLOC ' # hwloc support
configopts += '--with-slurm ' # Enable slurm
configopts += '--enable-mpi-cxx ' # Enable building the C++ MPI bindings
configopts += '--with-ucx=$EBROOTUCX '
configopts += '--with-cuda=$EBROOTCUDA '
#configopts += '--with-pmix=/opt/it4i-libs/PMIx/4.2.6 '
osdependencies = [('libibverbs-dev', 'libibverbs-devel', 'rdma-core-devel')]
postinstallcmds = [
'echo "# By default, for Open MPI 4.0 and later, infiniband ports on a device are not used by default." >> %(installdir)s/etc/openmpi-mca-params.conf',
'echo "btl_openib_allow_ib = true" >> %(installdir)s/etc/openmpi-mca-params.conf',
]
local_libs = ["mpi_mpifh", "mpi", "ompitrace", "open-pal", "open-rte"]
sanity_check_paths = {
'files': [
"bin/%s" %
binfile for binfile in [
"ompi_info", "opal_wrapper", "orterun"]] + [
"lib/lib%s.%s" %
(libfile, SHLIB_EXT) for libfile in local_libs] + [
"include/%s.h" %
x for x in [
"mpi-ext", "mpif-config", "mpif", "mpi", "mpi_portable_platform"]], 'dirs': [], }
import os
if os.environ.get("CLUSTERNAME") in ["BARBORA"]:
modextravars = {'OMPI_MCA_btl_openib_if_include': 'mlx5_0',
'OMPI_MCA_btl_tcp_if_include': '10.33.4.0/24',
'OMPI_MCA_orte_base_help_aggregate': '0',
'SLURM_MPI_TYPE': 'pmix_v4',
}
elif os.environ.get("CLUSTERNAME") in ["KAROLINA"]:
modextravars = {'OMPI_MCA_btl_openib_if_include': 'mlx5_0',
'OMPI_MCA_orte_base_help_aggregate': '0',
'SLURM_MPI_TYPE': 'pmix_v4',
}
else:
modextravars = {'OMPI_MCA_btl_openib_if_include': 'mlx4_0',
'OMPI_MCA_oob_tcp_if_include': '10.0.0.0/8',
'SLURM_MPI_TYPE': 'pmix_v4',
}
moduleclass = 'mpi'

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# IT4Innovations
# LK 2023
easyblock = "CMakeMake"
name = "openPMD-api"
version = "0.15.2"
homepage = 'https://github.com/openPMD/openPMD-api'
description = """openPMD is an open meta-data schema that provides meaning and self-description
for data sets in science and engineering. See the openPMD standard for details of this schema.
This library provides a reference API for openPMD data handling. Since openPMD is a schema
(or markup) on top of portable, hierarchical file formats, this library implements various
backends such as HDF5, ADIOS2 and JSON. Writing & reading through those backends and their
associated files are supported for serial and MPI-parallel workflows.
"""
toolchain = {'name': 'gompi', 'version': '2020b'}
source_urls = ['https://github.com/openPMD/openPMD-api/archive/refs/tags/']
sources = ['%(version)s.tar.gz']
checksums = ['fbe3b356fe6f4589c659027c8056844692c62382e3ec53b953bed1c87e58ba13']
builddependencies = [('CMake', '3.20.1')]
dependencies = [
('HDF5', '1.10.7'),
('ADIOS2', '2.9.2'),
]
configopts = '-DopenPMD_USE_ADIOS2=ON -DopenPMD_USE_HDF5=ON '
separate_build_dir = True
sanity_check_paths = {
'files': ['bin/openpmd-ls', 'lib/libopenPMD.so'],
'dirs': ['bin', 'include', 'lib64']
}
moduleclass = 'tools'

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# IT4Innovations 2023
# BS
easyblock = 'ConfigureMake'
name = 'pkgconf'
version = '1.8.0'
homepage = 'https://github.com/pkgconf/pkgconf'
description = """pkgconf is a program which helps to configure compiler and linker flags for development libraries.
It is similar to pkg-config from freedesktop.org."""
toolchain = {'name': 'GCCcore', 'version': '10.2.0'}
source_urls = ['https://distfiles.ariadne.space/pkgconf/']
sources = [SOURCELOWER_TAR_GZ]
checksums = ['d7b6fdb522d81c11f5a0e0a0629a9f5480809ec90e595058674c1517822dfb8c']
builddependencies = [('binutils', '2.35')]
postinstallcmds = ["cd %(installdir)s/bin && ln -s pkgconf pkg-config"]
sanity_check_paths = {
'files': ['bin/pkg-config', 'bin/pkgconf'],
'dirs': [],
}
sanity_check_commands = [
"pkg-config --help",
"pkgconf --help",
]
moduleclass = 'devel'

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# IT4Innovations 2023
# BS
easyblock = 'ConfigureMake'
name = 'pkgconf'
version = '1.8.0'
homepage = 'https://github.com/pkgconf/pkgconf'
description = """pkgconf is a program which helps to configure compiler and linker flags for development libraries.
It is similar to pkg-config from freedesktop.org."""
toolchain = {'name': 'GCCcore', 'version': '10.2.0'}
source_urls = ['https://distfiles.ariadne.space/pkgconf/']
sources = [SOURCELOWER_TAR_GZ]
checksums = ['d7b6fdb522d81c11f5a0e0a0629a9f5480809ec90e595058674c1517822dfb8c']
builddependencies = [('binutils', '2.35')]
postinstallcmds = ["cd %(installdir)s/bin && ln -s pkgconf pkg-config"]
sanity_check_paths = {
'files': ['bin/pkg-config', 'bin/pkgconf'],
'dirs': [],
}
sanity_check_commands = [
"pkg-config --help",
"pkgconf --help",
]
moduleclass = 'devel'

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# IT4Innovations
# LK 2023
easyblock = 'MakeCp'
name = 'Smilei'
version = '5.0'
versionsuffix = '-CUDA-12.2.0'
homepage = 'https://github.com/SmileiPIC/Smilei'
description = "Smilei is an open-source, user-friendly electromagnetic particle-in-cell code for the kinetic simulation of plasmas. Co-developed by physicists and computer scientists, it is designed for high-performance on the most recent supercomputing architectures. Smilei is applied to a wide range of applications, from laser-plasma interaction, to accelerator physics, space physics and astrophysics. It is also used at the bachelor and master levels as a teaching platform for plasma physics."
toolchain = {'name': 'intel', 'version': '2020b'}
source_urls = ["https://github.com/SmileiPIC/Smilei/archive/refs/tags/"]
sources = ["v%(version)s.tar.gz"]
checksums = ['9d92603d31f21d191f61487ec452fcf83d898150bfc10341f1cae241e5eb7826']
dependencies = [
('HDF5', '1.10.7'),
('Python', '3.8.6'),
('CUDA', '12.2.0', '', True),
]
buildopts = 'config="gpu_nvidia noopenmp"'
files_to_copy = [(['smilei', 'smilei_test'], 'bin'), "src"]
sanity_check_paths = {
'files': [
'bin/smilei',
'bin/smilei_test'
],
'dirs': [
'bin',
'src'
],
}
moduleclass = 'phys'

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# IT4Innovations
# LK 2023
easyblock = 'MakeCp'
name = 'Smilei'
version = '5.0'
homepage = 'https://github.com/SmileiPIC/Smilei'
description = "Smilei is an open-source, user-friendly electromagnetic particle-in-cell code for the kinetic simulation of plasmas. Co-developed by physicists and computer scientists, it is designed for high-performance on the most recent supercomputing architectures. Smilei is applied to a wide range of applications, from laser-plasma interaction, to accelerator physics, space physics and astrophysics. It is also used at the bachelor and master levels as a teaching platform for plasma physics."
toolchain = {'name': 'intel', 'version': '2020b'}
source_urls = ["https://github.com/SmileiPIC/Smilei/archive/refs/tags/"]
sources = ["v%(version)s.tar.gz"]
checksums = ['9d92603d31f21d191f61487ec452fcf83d898150bfc10341f1cae241e5eb7826']
dependencies = [
('HDF5', '1.10.7'),
('Python', '3.8.6'),
]
files_to_copy = [(['smilei', 'smilei_test'], 'bin'), "src"]
sanity_check_paths = {
'files': [
'bin/smilei',
'bin/smilei_test'
],
'dirs': [
'bin',
'src'
],
}
moduleclass = 'phys'

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# IT4Innovations
# BS 2023
easyblock = 'ConfigureMake'
name = 'UCC'
version = '1.1.0'
homepage = 'https://www.openucx.org/'
description = """UCC (Unified Collective Communication) is a collective
communication operations API and library that is flexible, complete, and
feature-rich for current and emerging programming models and runtimes.
"""
toolchain = {'name': 'GCCcore', 'version': '10.2.0'}
toolchainopts = {'pic': True}
source_urls = ['https://github.com/openucx/ucc/archive/refs/tags']
sources = ['v%(version)s.tar.gz']
patches = ['UCC-%(version)s-multiple_component_paths.patch']
checksums = [
{'v1.1.0.tar.gz': '74c8ba75037b5bd88cb703e8c8ae55639af3fecfd4428912a433c010c97b4df7'},
{'UCC-1.1.0-multiple_component_paths.patch': '3081d0f694331daa4a88a0fa3fb54b9a918015248ae5eb7b3157b924abd31bee'},
]
builddependencies = [
('binutils', '2.35'),
('Autotools', '20200321'),
]
dependencies = [
('UCX', '1.12.1'),
]
preconfigopts = "./autogen.sh && "
sanity_check_paths = {
'files': ['bin/ucc_info'],
'dirs': ['include', 'lib']
}
sanity_check_commands = ["ucc_info -c"]
moduleclass = 'lib'

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# IT4Innovations
# BS 2023
easyblock = 'EB_UCX_Plugins'
name = 'UCX-CUDA'
version = '1.12.1'
versionsuffix = '-CUDA-%(cudaver)s'
homepage = 'http://www.openucx.org/'
description = """Unified Communication X
An open-source production grade communication framework for data centric
and high-performance applications
This module adds the UCX CUDA support.
"""
toolchain = {'name': 'GCCcore', 'version': '10.2.0'}
toolchainopts = {'pic': True}
source_urls = ['https://github.com/openucx/ucx/releases/download/v%(version)s']
sources = [{'filename': 'ucx-%(version)s.tar.gz', 'alt_location': 'UCX'}]
patches = [
'%(name)s-1.11.0_link_against_existing_UCX_libs.patch',
]
checksums = [
{'ucx-1.12.1.tar.gz': '40b447c8e7da94a253f2828001b2d76021eb4ad39647107d433d62d61e18ae8e'},
{'UCX-CUDA-1.11.0_link_against_existing_UCX_libs.patch':
'457187fa020e526609ba91e7750c9941d57bd57d60d6eed317b40ad8824aca93'},
]
builddependencies = [
('binutils', '2.35'),
('Autotools', '20200321'),
('pkgconf', '1.8.0'),
]
dependencies = [
('zlib', '1.2.11'),
('UCX', version),
('CUDA', '11.7.0', '', SYSTEM),
('GDRCopy', '2.3'),
]
moduleclass = 'lib'

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# IT4Innovation 2023
# BS
easyblock = 'ConfigureMake'
name = 'UCX'
version = '1.12.1'
homepage = 'https://www.openucx.org/'
description = """Unified Communication X
An open-source production grade communication framework for data centric
and high-performance applications
"""
toolchain = {'name': 'GCCcore', 'version': '10.2.0'}
toolchainopts = {'pic': True}
source_urls = ['https://github.com/openucx/ucx/releases/download/v%(version)s']
sources = ['%(namelower)s-%(version)s.tar.gz']
patches = [
'UCX-1.10.0-dynamic_modules.patch',
'UCX-1.11.0_fix-implicit-odp-release.patch',
'UCX-1.11.2-missing_header.patch',
]
checksums = [
'40b447c8e7da94a253f2828001b2d76021eb4ad39647107d433d62d61e18ae8e', # ucx-1.12.1.tar.gz
'3098c91f2aadc5f148466a2e8756769ad5e99f9515d8cfb6ad8a5712e7433408', # UCX-1.10.0-dynamic_modules.patch
{'UCX-1.11.0_fix-implicit-odp-release.patch': 'e21d66b75f3727a98dbd1737b419a6f77c0c5a8ac660a21affcbf10bb3b941ed'},
'fa9052a33da5c8e94bc7df0e5fe6ce3baf613310842ae1ab9ed4ef2d49666c01', # UCX-1.11.2-missing_header.patch
]
builddependencies = [
('binutils', '2.35'),
('Autotools', '20200321'),
('pkgconf', '1.8.0'),
]
osdependencies = [OS_PKG_IBVERBS_DEV]
dependencies = [
('zlib', '1.2.11'),
('numactl', '2.0.13'),
]
configure_cmd = "contrib/configure-release"
configopts = '--enable-optimizations --enable-cma --enable-mt --with-verbs '
configopts += '--without-java --without-go --disable-doxygen-doc '
buildopts = 'V=1'
sanity_check_paths = {
'files': ['bin/ucx_info', 'bin/ucx_perftest', 'bin/ucx_read_profile'],
'dirs': ['include', 'lib', 'share']
}
sanity_check_commands = ["ucx_info -d"]
moduleclass = 'lib'