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Commit 37348c7f authored by Sebastian Achilles's avatar Sebastian Achilles
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add easyconfig gomkl v2021 and imkl v2021.2.0

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......@@ -9,6 +9,13 @@ Overview of the custom EasyBlocks.
- __*difference compared to upstream*__ Same as upstream EasyBlocks 4.3.2
- __*can be removed*__ when we upgread EasyBlocks 4.3.2+
## imkl
- __*added by*__ s.achilles
- __*needed because*__ support oneAPI versions (>= 2021.x)
- __*difference compared to upstream*__ Same as upstream EasyBlocks 4.3.5
- __*can be removed*__ when we upgread EasyBlocks 4.3.5+
## Quantum ESPRESSO
- __*added by*__ s.achilles
......
easyblock = "Toolchain"
name = 'gomkl'
version = '2021'
homepage = '(none)'
description = """GCC and GFortran based compiler toolchain, ParaStation MPICH variant for MPI support and MKL"""
site_contacts = 'sc@fz-juelich.de'
toolchain = SYSTEM
local_comp_name = 'GCC'
local_comp_version = '10.3.0'
local_comp = (local_comp_name, local_comp_version)
# toolchain used to build dependencies
local_comp_mpi_tc_name = 'gompi'
local_comp_mpi_tc_ver = version
local_comp_mpi_tc = (local_comp_mpi_tc_name, local_comp_mpi_tc_ver)
# compiler toolchain dependencies
dependencies = [
local_comp,
('OpenMPI', '4.1.1', '', local_comp), # part of gompi toolchain
('imkl', '2021.2.0', '', local_comp_mpi_tc),
]
moduleclass = 'toolchain'
name = 'imkl'
version = '2020.2.0'
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': '2021', 'name': 'gompi'}
# see https://software.intel.com/content/www/us/en/develop/articles/oneapi-standalone-components.html
source_urls = [
'https://registrationcenter-download.intel.com/akdlm/irc_nas/17757']
sources = ['l_onemkl_p_%(version)s.296_offline.sh']
checksums = ['816e9df26ff331d6c0751b86ed5f7d243f9f172e76f14e83b32bf4d1d619dbae']
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'
name = 'imkl'
version = '2020.2.0'
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
# see https://software.intel.com/content/www/us/en/develop/articles/oneapi-standalone-components.html
source_urls = [
'https://registrationcenter-download.intel.com/akdlm/irc_nas/17757']
sources = ['l_onemkl_p_%(version)s.296_offline.sh']
checksums = ['816e9df26ff331d6c0751b86ed5f7d243f9f172e76f14e83b32bf4d1d619dbae']
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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