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new file: a/ANSYS/ANSYS-21.2-intel-2020b.eb new file: g/GDRCopy/GDRCopy-2.1-NVHPC-21.9-CUDA-11.4.1.eb new file: g/GDRCopy/GDRCopy-2.3-GCCcore-10.2.0.eb new file: g/GDRCopy/GDRCopy-2.3-NVHPC-21.9-CUDA-11.4.1.eb new file: h/HDF5/HDF5-1.10.7-iimpi-2021a.eb new file: n/NVHPC/NVHPC-21.9.eb new file: o/OpenMPI/OpenMPI-4.0.6-NVHPC-21.9-CUDA-11.4.1.eb modified: q/QMCPACK/QMCPACK-3.11.0-intel-2020b-Python-3.8.6.eb new file: u/UCX/UCX-1.11.2-NVHPC-21.9-CUDA-11.4.1.eb deleted: q/QMCPACK/QMCPACK-3.11.0-intel-2020a-Python-3.8.2-test.eb deleted: q/QMCPACK/QMCPACK-3.11.0-intel-2020a-Python-3.8.2.eb deleted: q/QMCPACK/QMCPACK-3.11.0-intel-2020b-Python-3.8.6-test.eb
29 lines
913 B
Plaintext
29 lines
913 B
Plaintext
# IT4Innovations
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# LK 2021
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name = 'HDF5'
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version = '1.10.7'
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homepage = 'https://portal.hdfgroup.org/display/support'
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description = """HDF5 is a data model, library, and file format for storing and managing data.
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It supports an unlimited variety of datatypes, and is designed for flexible
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and efficient I/O and for high volume and complex data."""
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toolchain = {'name': 'iimpi', 'version': '2021a'}
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import os
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if os.environ.get("CLUSTERNAME") in ["KAROLINA"]:
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toolchainopts = {'pic': True, 'usempi': True, 'optarch': 'march=core-avx2'}
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else:
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toolchainopts = {'pic': True, 'usempi': True}
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source_urls = ['https://support.hdfgroup.org/ftp/HDF5/releases/hdf5-%(version_major_minor)s/hdf5-%(version)s/src']
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sources = [SOURCELOWER_TAR_GZ]
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checksums = ['7a1a0a54371275ce2dfc5cd093775bb025c365846512961e7e5ceaecb437ef15']
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dependencies = [
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('zlib', '1.2.11'),
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('Szip', '2.1.1'),
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]
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moduleclass = 'data'
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