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Commit 309072ce authored by Damian Alvarez's avatar Damian Alvarez
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Merge branch 'imkl-2020.4.304' into '2020' 

{numlib}[gompi/2020,gpsmpi/2020,iimpi/2020,iompi/2020,ipsmpi/2020-mt,ipsmpi/2020,npsmpic/2020.1,npsmpic/2020,system/system] imkl v2020.4.304

See merge request hps-public/easybuild-repository!583
parents 6f7ce8ab 927e5667
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Golden_Repo/i/imkl/imkl-2020.4.304-gompi-2020.eb 0 → 100644
+ 36
− 0
View file @ 309072ce
name = 'imkl'
version = '2020.4.304'
homepage = 'http://software.intel.com/en-us/intel-mkl/'
description = """Intel Math Kernel Library is a library of highly optimized,
extensively threaded math routines for science, engineering, and financial
applications that require maximum performance. Core math functions include
BLAS, LAPACK, ScaLAPACK, Sparse Solvers, Fast Fourier Transforms, Vector Math,
and more.
"""
site_contacts = 'Sebastian Achilles <s.achilles@fz-juelich.de>'
toolchain = {'version': '2020', 'name': 'gompi'}
source_urls = [
'https://registrationcenter-download.intel.com/akdlm/irc_nas/tec/16917/']
sources = ['l_mkl_%(version)s.tgz']
checksums = ['2314d46536974dbd08f2a4e4f9e9a155dc7e79e2798c74e7ddfaad00a5917ea5']
dontcreateinstalldir = 'True'
postinstallcmds = [
# extract the examples
'tar xvzf %(installdir)s/mkl/examples/examples_cluster_c.tgz -C %(installdir)s/mkl/examples/',
'tar xvzf %(installdir)s/mkl/examples/examples_cluster_f.tgz -C %(installdir)s/mkl/examples/',
'tar xvzf %(installdir)s/mkl/examples/examples_core_c.tgz -C %(installdir)s/mkl/examples/',
'tar xvzf %(installdir)s/mkl/examples/examples_core_f.tgz -C %(installdir)s/mkl/examples/',
'tar xvzf %(installdir)s/mkl/examples/examples_f95.tgz -C %(installdir)s/mkl/examples/',
]
modextravars = {
'MKL_EXAMPLES': '%(installdir)s/mkl/examples/',
}
moduleclass = 'numlib'
Golden_Repo/i/imkl/imkl-2020.4.304-gpsmpi-2020.eb 0 → 100644
+ 36
− 0
View file @ 309072ce
name = 'imkl'
version = '2020.4.304'
homepage = 'http://software.intel.com/en-us/intel-mkl/'
description = """Intel Math Kernel Library is a library of highly optimized,
extensively threaded math routines for science, engineering, and financial
applications that require maximum performance. Core math functions include
BLAS, LAPACK, ScaLAPACK, Sparse Solvers, Fast Fourier Transforms, Vector Math,
and more.
"""
site_contacts = 'Sebastian Achilles <s.achilles@fz-juelich.de>'
toolchain = {'version': '2020', 'name': 'gpsmpi'}
source_urls = [
'https://registrationcenter-download.intel.com/akdlm/irc_nas/tec/16917/']
sources = ['l_mkl_%(version)s.tgz']
checksums = ['2314d46536974dbd08f2a4e4f9e9a155dc7e79e2798c74e7ddfaad00a5917ea5']
dontcreateinstalldir = 'True'
postinstallcmds = [
# extract the examples
'tar xvzf %(installdir)s/mkl/examples/examples_cluster_c.tgz -C %(installdir)s/mkl/examples/',
'tar xvzf %(installdir)s/mkl/examples/examples_cluster_f.tgz -C %(installdir)s/mkl/examples/',
'tar xvzf %(installdir)s/mkl/examples/examples_core_c.tgz -C %(installdir)s/mkl/examples/',
'tar xvzf %(installdir)s/mkl/examples/examples_core_f.tgz -C %(installdir)s/mkl/examples/',
'tar xvzf %(installdir)s/mkl/examples/examples_f95.tgz -C %(installdir)s/mkl/examples/',
]
modextravars = {
'MKL_EXAMPLES': '%(installdir)s/mkl/examples/',
}
moduleclass = 'numlib'
Golden_Repo/i/imkl/imkl-2020.4.304-iimpi-2020.eb 0 → 100644
+ 36
− 0
View file @ 309072ce
name = 'imkl'
version = '2020.4.304'
homepage = 'http://software.intel.com/en-us/intel-mkl/'
description = """Intel Math Kernel Library is a library of highly optimized,
extensively threaded math routines for science, engineering, and financial
applications that require maximum performance. Core math functions include
BLAS, LAPACK, ScaLAPACK, Sparse Solvers, Fast Fourier Transforms, Vector Math,
and more.
"""
site_contacts = 'Sebastian Achilles <s.achilles@fz-juelich.de>'
toolchain = {'version': '2020', 'name': 'iimpi'}
source_urls = [
'https://registrationcenter-download.intel.com/akdlm/irc_nas/tec/16917/']
sources = ['l_mkl_%(version)s.tgz']
checksums = ['2314d46536974dbd08f2a4e4f9e9a155dc7e79e2798c74e7ddfaad00a5917ea5']
dontcreateinstalldir = 'True'
postinstallcmds = [
# extract the examples
'tar xvzf %(installdir)s/mkl/examples/examples_cluster_c.tgz -C %(installdir)s/mkl/examples/',
'tar xvzf %(installdir)s/mkl/examples/examples_cluster_f.tgz -C %(installdir)s/mkl/examples/',
'tar xvzf %(installdir)s/mkl/examples/examples_core_c.tgz -C %(installdir)s/mkl/examples/',
'tar xvzf %(installdir)s/mkl/examples/examples_core_f.tgz -C %(installdir)s/mkl/examples/',
'tar xvzf %(installdir)s/mkl/examples/examples_f95.tgz -C %(installdir)s/mkl/examples/',
]
modextravars = {
'MKL_EXAMPLES': '%(installdir)s/mkl/examples/',
}
moduleclass = 'numlib'
Golden_Repo/i/imkl/imkl-2020.4.304-iompi-2020.eb 0 → 100644
+ 36
− 0
View file @ 309072ce
name = 'imkl'
version = '2020.4.304'
homepage = 'http://software.intel.com/en-us/intel-mkl/'
description = """Intel Math Kernel Library is a library of highly optimized,
extensively threaded math routines for science, engineering, and financial
applications that require maximum performance. Core math functions include
BLAS, LAPACK, ScaLAPACK, Sparse Solvers, Fast Fourier Transforms, Vector Math,
and more.
"""
site_contacts = 'Sebastian Achilles <s.achilles@fz-juelich.de>'
toolchain = {'version': '2020', 'name': 'iompi'}
source_urls = [
'https://registrationcenter-download.intel.com/akdlm/irc_nas/tec/16917/']
sources = ['l_mkl_%(version)s.tgz']
checksums = ['2314d46536974dbd08f2a4e4f9e9a155dc7e79e2798c74e7ddfaad00a5917ea5']
dontcreateinstalldir = 'True'
postinstallcmds = [
# extract the examples
'tar xvzf %(installdir)s/mkl/examples/examples_cluster_c.tgz -C %(installdir)s/mkl/examples/',
'tar xvzf %(installdir)s/mkl/examples/examples_cluster_f.tgz -C %(installdir)s/mkl/examples/',
'tar xvzf %(installdir)s/mkl/examples/examples_core_c.tgz -C %(installdir)s/mkl/examples/',
'tar xvzf %(installdir)s/mkl/examples/examples_core_f.tgz -C %(installdir)s/mkl/examples/',
'tar xvzf %(installdir)s/mkl/examples/examples_f95.tgz -C %(installdir)s/mkl/examples/',
]
modextravars = {
'MKL_EXAMPLES': '%(installdir)s/mkl/examples/',
}
moduleclass = 'numlib'
Golden_Repo/i/imkl/imkl-2020.4.304-ipsmpi-2020-mt.eb 0 → 100644
+ 36
− 0
View file @ 309072ce
name = 'imkl'
version = '2020.4.304'
homepage = 'http://software.intel.com/en-us/intel-mkl/'
description = """Intel Math Kernel Library is a library of highly optimized,
extensively threaded math routines for science, engineering, and financial
applications that require maximum performance. Core math functions include
BLAS, LAPACK, ScaLAPACK, Sparse Solvers, Fast Fourier Transforms, Vector Math,
and more.
"""
site_contacts = 'Sebastian Achilles <s.achilles@fz-juelich.de>'
toolchain = {'version': '2020-mt', 'name': 'ipsmpi'}
source_urls = [
'https://registrationcenter-download.intel.com/akdlm/irc_nas/tec/16917/']
sources = ['l_mkl_%(version)s.tgz']
checksums = ['2314d46536974dbd08f2a4e4f9e9a155dc7e79e2798c74e7ddfaad00a5917ea5']
dontcreateinstalldir = 'True'
postinstallcmds = [
# extract the examples
'tar xvzf %(installdir)s/mkl/examples/examples_cluster_c.tgz -C %(installdir)s/mkl/examples/',
'tar xvzf %(installdir)s/mkl/examples/examples_cluster_f.tgz -C %(installdir)s/mkl/examples/',
'tar xvzf %(installdir)s/mkl/examples/examples_core_c.tgz -C %(installdir)s/mkl/examples/',
'tar xvzf %(installdir)s/mkl/examples/examples_core_f.tgz -C %(installdir)s/mkl/examples/',
'tar xvzf %(installdir)s/mkl/examples/examples_f95.tgz -C %(installdir)s/mkl/examples/',
]
modextravars = {
'MKL_EXAMPLES': '%(installdir)s/mkl/examples/',
}
moduleclass = 'numlib'
Golden_Repo/i/imkl/imkl-2020.4.304-ipsmpi-2020.eb 0 → 100644
+ 36
− 0
View file @ 309072ce
name = 'imkl'
version = '2020.4.304'
homepage = 'http://software.intel.com/en-us/intel-mkl/'
description = """Intel Math Kernel Library is a library of highly optimized,
extensively threaded math routines for science, engineering, and financial
applications that require maximum performance. Core math functions include
BLAS, LAPACK, ScaLAPACK, Sparse Solvers, Fast Fourier Transforms, Vector Math,
and more.
"""
site_contacts = 'Sebastian Achilles <s.achilles@fz-juelich.de>'
toolchain = {'version': '2020', 'name': 'iimpi'}
source_urls = [
'https://registrationcenter-download.intel.com/akdlm/irc_nas/tec/16917/']
sources = ['l_mkl_%(version)s.tgz']
checksums = ['2314d46536974dbd08f2a4e4f9e9a155dc7e79e2798c74e7ddfaad00a5917ea5']
dontcreateinstalldir = 'True'
postinstallcmds = [
# extract the examples
'tar xvzf %(installdir)s/mkl/examples/examples_cluster_c.tgz -C %(installdir)s/mkl/examples/',
'tar xvzf %(installdir)s/mkl/examples/examples_cluster_f.tgz -C %(installdir)s/mkl/examples/',
'tar xvzf %(installdir)s/mkl/examples/examples_core_c.tgz -C %(installdir)s/mkl/examples/',
'tar xvzf %(installdir)s/mkl/examples/examples_core_f.tgz -C %(installdir)s/mkl/examples/',
'tar xvzf %(installdir)s/mkl/examples/examples_f95.tgz -C %(installdir)s/mkl/examples/',
]
modextravars = {
'MKL_EXAMPLES': '%(installdir)s/mkl/examples/',
}
moduleclass = 'numlib'
Golden_Repo/i/imkl/imkl-2020.4.304-npsmpic-2020.1.eb 0 → 100644
+ 39
− 0
View file @ 309072ce
name = 'imkl'
version = '2020.4.304'
homepage = 'http://software.intel.com/en-us/intel-mkl/'
description = """Intel Math Kernel Library is a library of highly optimized,
extensively threaded math routines for science, engineering, and financial
applications that require maximum performance. Core math functions include
BLAS, LAPACK, ScaLAPACK, Sparse Solvers, Fast Fourier Transforms, Vector Math,
and more.
"""
site_contacts = 'Sebastian Achilles <s.achilles@fz-juelich.de>'
toolchain = {'version': '2020.1', 'name': 'npsmpic'}
source_urls = [
'https://registrationcenter-download.intel.com/akdlm/irc_nas/tec/16917/']
sources = ['l_mkl_%(version)s.tgz']
checksums = ['2314d46536974dbd08f2a4e4f9e9a155dc7e79e2798c74e7ddfaad00a5917ea5']
dontcreateinstalldir = 'True'
# NVHPC is not yet supported
interfaces = False
postinstallcmds = [
# extract the examples
'tar xvzf %(installdir)s/mkl/examples/examples_cluster_c.tgz -C %(installdir)s/mkl/examples/',
'tar xvzf %(installdir)s/mkl/examples/examples_cluster_f.tgz -C %(installdir)s/mkl/examples/',
'tar xvzf %(installdir)s/mkl/examples/examples_core_c.tgz -C %(installdir)s/mkl/examples/',
'tar xvzf %(installdir)s/mkl/examples/examples_core_f.tgz -C %(installdir)s/mkl/examples/',
'tar xvzf %(installdir)s/mkl/examples/examples_f95.tgz -C %(installdir)s/mkl/examples/',
]
modextravars = {
'MKL_EXAMPLES': '%(installdir)s/mkl/examples/',
}
moduleclass = 'numlib'
Golden_Repo/i/imkl/imkl-2020.4.304-npsmpic-2020.eb 0 → 100644
+ 39
− 0
View file @ 309072ce
name = 'imkl'
version = '2020.4.304'
homepage = 'http://software.intel.com/en-us/intel-mkl/'
description = """Intel Math Kernel Library is a library of highly optimized,
extensively threaded math routines for science, engineering, and financial
applications that require maximum performance. Core math functions include
BLAS, LAPACK, ScaLAPACK, Sparse Solvers, Fast Fourier Transforms, Vector Math,
and more.
"""
site_contacts = 'Sebastian Achilles <s.achilles@fz-juelich.de>'
toolchain = {'version': '2020', 'name': 'npsmpic'}
source_urls = [
'https://registrationcenter-download.intel.com/akdlm/irc_nas/tec/16917/']
sources = ['l_mkl_%(version)s.tgz']
checksums = ['2314d46536974dbd08f2a4e4f9e9a155dc7e79e2798c74e7ddfaad00a5917ea5']
dontcreateinstalldir = 'True'
# NVHPC is not yet supported
interfaces = False
postinstallcmds = [
# extract the examples
'tar xvzf %(installdir)s/mkl/examples/examples_cluster_c.tgz -C %(installdir)s/mkl/examples/',
'tar xvzf %(installdir)s/mkl/examples/examples_cluster_f.tgz -C %(installdir)s/mkl/examples/',
'tar xvzf %(installdir)s/mkl/examples/examples_core_c.tgz -C %(installdir)s/mkl/examples/',
'tar xvzf %(installdir)s/mkl/examples/examples_core_f.tgz -C %(installdir)s/mkl/examples/',
'tar xvzf %(installdir)s/mkl/examples/examples_f95.tgz -C %(installdir)s/mkl/examples/',
]
modextravars = {
'MKL_EXAMPLES': '%(installdir)s/mkl/examples/',
}
moduleclass = 'numlib'
Golden_Repo/i/imkl/imkl-2020.4.304.eb 0 → 100644
+ 40
− 0
View file @ 309072ce
name = 'imkl'
version = '2020.4.304'
homepage = 'http://software.intel.com/en-us/intel-mkl/'
description = """Intel Math Kernel Library is a library of highly optimized,
extensively threaded math routines for science, engineering, and financial
applications that require maximum performance. Core math functions include
BLAS, LAPACK, ScaLAPACK, Sparse Solvers, Fast Fourier Transforms, Vector Math,
and more.
"""
site_contacts = 'Sebastian Achilles <s.achilles@fz-juelich.de>'
toolchain = SYSTEM
source_urls = [
'https://registrationcenter-download.intel.com/akdlm/irc_nas/tec/16917/']
sources = ['l_mkl_%(version)s.tgz']
checksums = ['2314d46536974dbd08f2a4e4f9e9a155dc7e79e2798c74e7ddfaad00a5917ea5']
dontcreateinstalldir = 'True'
interfaces = False
hidden = True
postinstallcmds = [
# extract the examples
'tar xvzf %(installdir)s/mkl/examples/examples_cluster_c.tgz -C %(installdir)s/mkl/examples/',
'tar xvzf %(installdir)s/mkl/examples/examples_cluster_f.tgz -C %(installdir)s/mkl/examples/',
'tar xvzf %(installdir)s/mkl/examples/examples_core_c.tgz -C %(installdir)s/mkl/examples/',
'tar xvzf %(installdir)s/mkl/examples/examples_core_f.tgz -C %(installdir)s/mkl/examples/',
'tar xvzf %(installdir)s/mkl/examples/examples_f95.tgz -C %(installdir)s/mkl/examples/',
]
modextravars = {
'MKL_EXAMPLES': '%(installdir)s/mkl/examples/',
}
moduleclass = 'numlib'
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