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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
1.1 KiB
Plaintext
37 lines
1.1 KiB
Plaintext
# IT4Innovations
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# LK 2023
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easyblock = 'MakeCp'
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name = 'Smilei'
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version = '5.0'
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homepage = 'https://github.com/SmileiPIC/Smilei'
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description = "Smilei is an open-source, user-friendly electromagnetic particle-in-cell code for the kinetic simulation of plasmas. Co-developed by physicists and computer scientists, it is designed for high-performance on the most recent supercomputing architectures. Smilei is applied to a wide range of applications, from laser-plasma interaction, to accelerator physics, space physics and astrophysics. It is also used at the bachelor and master levels as a teaching platform for plasma physics."
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toolchain = {'name': 'intel', 'version': '2020b'}
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source_urls = ["https://github.com/SmileiPIC/Smilei/archive/refs/tags/"]
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sources = ["v%(version)s.tar.gz"]
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checksums = ['9d92603d31f21d191f61487ec452fcf83d898150bfc10341f1cae241e5eb7826']
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dependencies = [
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('HDF5', '1.10.7'),
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('Python', '3.8.6'),
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]
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files_to_copy = [(['smilei', 'smilei_test'], 'bin'), "src"]
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sanity_check_paths = {
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'files': [
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'bin/smilei',
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'bin/smilei_test'
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],
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'dirs': [
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'bin',
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'src'
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],
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}
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moduleclass = 'phys'
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