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new file: g/git-lfs/git-lfs-3.1.2.eb new file: h/h5py/h5py-3.2.1-intel-2021a.eb new file: l/libcint/libcint-4.4.0-intel-2020b.eb new file: m/mpi4py/mpi4py-3.1.3-foss-2020b-Python-3.8.6.eb new file: m/mpi4py/mpi4py-3.1.3-foss-2021a-Python-3.9.5.eb new file: m/mpi4pyscf/mpi4pyscf-0.3.1-foss-2021a-Python-3.9.5.eb new file: m/mpi4pyscf/mpi4pyscf-0.3.1.tar.gz new file: o/obspy/obspy-1.3.0-fosscuda-2020b.eb new file: p/PROJ/PROJ-8.0.1-GCCcore-10.2.0.eb new file: p/PillowSIMD/Pillow-SIMD-7.1.2-GCCcore-10.2.0.eb new file: p/PySCF/PySCF-2.0.1-foss-2021a.eb new file: p/PySCF/PySCF-2.0.1-intel-2020b.eb.broken new file: p/pyproj/pyproj-3.0.1-GCCcore-10.2.0.eb new file: q/QMCPACK/QMCPACK-3.12.0-intel-2020b-Python-3.8.6.eb.old new file: q/QMCPACK/QMCPACK-3.13.0-foss-2021a-Python-3.9.5.eb.broken modified: q/QMCPACK/QMCPACK-3.13.0-intel-2020b-Python-3.8.6.eb new file: q/QMCPACK/QMCPACK-3.13.0-intel-2021a-Python-3.9.5.eb new file: s/scikit-learn/scikit-learn-0.23.2-fosscuda-2020b.eb new file: t/TotalView/TotalView-2022.1.11.eb new file: t/torchaudio/torchaudio-0.10.0-fosscuda-2020b-Python-3.8.6-PyTorch-1.10.0.eb new file: t/torchvision/torchvision-0.11.3-fosscuda-2020b-PyTorch-1.10.0.eb new file: v/VASP/VASP-6.3.0-VTST-fix.patch new file: v/VASP/VASP-6.3.0-intel-2021b-mkl=sequential-march=znver3-karolina.eb new file: v/VASP/VASP-6.3.1-intel-2020b-mkl=sequential-vtst-karolina.eb deleted: q/QMCPACK/QMCPACK-3.12.0-intel-2020b-Python-3.8.6.eb deleted: v/VASP/VASP-6.3.0-intel-2020b-mkl=sequential-march=znver3-karolina.eb
65 lines
2.4 KiB
Plaintext
65 lines
2.4 KiB
Plaintext
# IT4Innovations 2021
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# JK2021
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easyblock = 'CMakeMake'
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name = 'QMCPACK'
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version = '3.12.0'
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versionsuffix = "-Python-%(pyver)s"
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homepage = "https://qmcpack.org/"
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description = """QMCPACK, is a modern high-performance open-source Quantum Monte Carlo (QMC) simulation code. Its main applications are electronic structure calculations of molecular, quasi-2D and solid-state systems. Variational Monte Carlo (VMC), diffusion Monte Carlo (DMC) and a number of other advanced QMC algorithms are implemented. Orbital space auxiliary field QMC (AFQMC) has recently been added. By directly solving the Schrodinger equation, QMC methods offer greater accuracy than methods such as density functional theory, but at a trade-off of much greater local_computational expense.
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"""
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# vypada to, ze od 3.12.0 uz optimalizace na avx2 nedela trable?
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toolchain = {'name': 'intel', 'version': '2020b'}
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import os
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if os.environ.get("CLUSTERNAME") in ["KAROLINA"]:
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toolchainopts = {'opt': True, 'pic': True, 'usempi': True, 'optarch': 'march=core-avx2'}
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prebuildopts = "echo %(builddir)s && while read i; do echo $i; sed 's|-xHost|-march=core-avx2|g' -i $i; done < <(grep xHost %(builddir)s -R | cut -d ':' -f 1 | sort -u) &&"
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else:
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toolchainopts = {'opt': True, 'pic': True, 'usempi': True}
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source_urls = ['https://github.com/QMCPACK/qmcpack/archive/']
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sources = ['v%(version)s.tar.gz']
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builddependencies = [('CMake', '3.20.1', '', True),]
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# odstran z module file GCC 9.3.0 - rovnak na intel
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dependencies = [
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('libxml2', '2.9.10'),
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('Boost', '1.74.0'),
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('HDF5', '1.10.7', '', ('iimpi', '2020b')),
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('Python', '3.8.6'),
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('h5py', '3.1.0'),
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('SciPy-bundle', '2020.11'),
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('GCC', '9.3.0', '', True),
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]
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separate_build_dir = True
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configopts = ' -DENABLE_SOA=1 '
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configopts += ' -DCMAKE_C_COMPILER=mpiicc -DCMAKE_CXX_COMPILER=mpiicpc '
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configopts += ' -DHDF5_PREFER_PARALLEL=1 -DENABLE_PHDF5=1 '
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configopts += ' -DQMC_SYMLINK_TEST_FILES=0 '
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configopts += ' -DCMAKE_BUILD_TYPE=Release '
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configopts += ' -DQMC_OMP=ON '
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# prekopiruje nexus knihovny o kterych install file tvrdi, ze nejsou potreba
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# ale evidentne to bez nich nejede
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preinstallopts = [
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' mkdir -p %(installdir)s/nexus && ',
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' cp -r %(builddir)s/qmcpack-%(version)s/nexus/lib %(installdir)s/nexus/lib && ',
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]
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# prida nexus knihovny do PYTHONPATH
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modextrapaths = {'PYTHONPATH': 'nexus/lib'}
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sanity_check_paths = {
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'files': ['bin/qmcpack'],
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'dirs': ['bin'],
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}
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moduleclass = 'phys'
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