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