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DEEP-SEA
easybuild-repository-public-release
Commits
dd311c4a
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dd311c4a
authored
2 years ago
by
Thomas Mueller
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modified for spglib
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572aac43
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Golden_Repo/c/CP2K/CP2K-2023.1-intel-para-2022a.eb
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dd311c4a
name = 'CP2K'
version = '2023.1'
homepage = 'http://www.cp2k.org/'
description = """CP2K is a freely available (GPL) program, written in Fortran 95, to perform atomistic and molecular
simulations of solid state, liquid, molecular and biological systems. It provides a general framework for different
methods such as e.g. density functional theory (DFT) using a mixed Gaussian and plane waves approach (GPW), and
classical pair and many-body potentials.
The default eigensolver is set to Scalapack. This setting can be overridden by specifiying
PREFERRED_DIAG_LIBRARY ELPA in the global section of the cp2k input. Note, that application-dependent
- in particular for small basis sizes - the use of the ELPA eigensolver library can cause dead-locks:
the program might be killed with a corresponding message from the MPI library ( parastation mpi)
or even hang (openmpi). The user is advised to check whether the particular application is prone to
deadlocks if ELPA is switched on.
The Libvori library for Voronoi integration and the BQB compressed volumetric trajectory data is included
(https://brehm-research.de/voronoi, https://brehm-research.de/bqb).
Tree-Monte-Carlo is disfunctional; this is the hybrid MPI/OpenMP version of CP2K.
"""
toolchain = {'name': 'intel-para', 'version': '2022a'}
toolchainopts = {'pic': True, 'openmp': True}
# which dbcsr_version
dbcsr_version = '2.5.0'
libvori_version = '-220621'
spglib_version = '1.16.2'
local_libvori_version = '-220621'
sources = [
'cp2k/archive/v%(version)s.tar.gz',
'dbcsr/archive/refs/tags/v%s.tar.gz' % dbcsr_version,
'libvori%s.tar.gz' % local_libvori_version,
'spglib-1.16.2.tar.gz',
]
source_urls = [
'https://github.com/cp2k/',
'https://github.com/cp2k/',
'https://www.brehm-research.de/files/',
]
patches = [
'CP2K-2023.1_fftw3_lib.patch',
'CP2K-2023.1_elpa.patch',
'CP2K-2023.1_dbcsr.patch',
]
checksums = [
'b837f3f8329e92b98959edfd198dc83447737098844a5102e19c83748af9ec2e',
'24138461cf0b347ab6df0fba192bca6a026f22c3f0bc29abdae2df9e830809ca',
'1cfa98c564814bddacf1c0e7f11582137d758668f6307e6eb392c72317984c14',
'5723789bee7371ebba91d78c729d2a608f198fad5e1c95eebe18fda9f2914ec8',
'1b7674b0046d329f9913ed99e92b53481e878a04a4856c817228d4816d0ea624',
'33c765f5e119541d943c0d9386059e1ef6f82ca1f2e9490adeca6b86656b5b2d',
'c480c46d31290056079f6a9d5fa17454d34169d1a7850af22378dd794257c3b7'
]
dependencies = [
('libxc', '5.2.3', '', ('intel-compilers', '2022.1.0')),
('FFTW', '3.3.10', ''),
('Libint', '2.7.2', '_cp2k_lmax5', ('intel-compilers', '2022.1.0')),
('ELPA', '2022.11.001.rc1'),
('libxsmm', '1.17', '', ('intel-compilers', '2022.1.0')),
('PLUMED', '2.8.1'),
]
builddependencies = [
('flex', '2.6.4'),
('CMake', '3.23.1'),
('Python', '3.10.4', '', ('GCCcore','11.3.0')),
]
# Add PLUMED support
plumed = True
# Disable CUDA
cuda = False
# explicit unrolled loops up to __MAX_CONTR, 4 gives excessive compiler times
configopts = '-D__MAX_CONTR=3'
# popt or psmp
type = 'psmp'
# run tests separately (2 nodes of juwels approx 1 hour)
runtest = False
# additional DFLAGS
extradflags = '-D__MKL -D__LIBVORI -D__SPGLIB'
# regression test reports failures
ignore_regtest_fails = False
modextravars = {
'CP2K_DATA_DIR': '%(installdir)s/data',
}
moduleclass = 'chem'
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