mirror of
https://code.it4i.cz/sccs/easyconfigs-it4i.git
synced 2025-04-07 15:32:11 +01:00
modified: a/ABINIT/ABINIT-9.4.2-intel-2020b.eb
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
This commit is contained in:
Jakub Kropacek
easybuild
parent
1d74161b9c
commit
73ee681a9a
@ -32,7 +32,7 @@ dependencies = [
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('libxc', '4.3.4'),
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('netCDF', '4.7.4'),
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('netCDF-Fortran', '4.5.3'),
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('HDF5', '1.10.7'),
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('HDF5', '1.10.6', '-parallel'),
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('Wannier90', '3.1.0'),
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]
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26
a/ANSYS/ANSYS-21.2-intel-2020b.eb
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26
a/ANSYS/ANSYS-21.2-intel-2020b.eb
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@ -0,0 +1,26 @@
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# IT4Innovations
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# LK 2021
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name = 'ANSYS'
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version = '21.2'
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homepage = 'http://www.ansys.com'
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description = """ANSYS simulation software enables organizations to confidently predict
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how their products will operate in the real world. We believe that every product is
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a promise of something greater. """
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toolchain = {'name': 'intel', 'version': '2020b'}
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# create a zip file from the 3 install iso files.
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# make sure all files of the iso's are in the same directory.
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sources = ['ansys-%(version)s.tar.gz']
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dependencies = [
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('libGLU', '9.0.1'),
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]
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import os
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license_server = os.getenv('EB_ANSYS_LICENSE_SERVER', '10.5.8.13')
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license_server_port = os.getenv('EB_ANSYS_LICENSE_SERVER_PORT', '2325:1055')
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moduleclass = 'tools'
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58
g/GDRCopy/GDRCopy-2.1-NVHPC-21.9-CUDA-11.4.1.eb
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58
g/GDRCopy/GDRCopy-2.1-NVHPC-21.9-CUDA-11.4.1.eb
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@ -0,0 +1,58 @@
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# IT4Innovations 2021
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# LK
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easyblock = 'ConfigureMake'
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name = 'GDRCopy'
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version = '2.1'
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versionsuffix = '-CUDA-11.4.1'
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homepage = 'https://github.com/NVIDIA/gdrcopy'
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description = "A low-latency GPU memory copy library based on NVIDIA GPUDirect RDMA technology."
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toolchain = {'name': 'NVHPC', 'version': '21.9'}
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toolchainopts = {'pic': True}
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github_account = 'NVIDIA'
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source_urls = [GITHUB_SOURCE]
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sources = ['v%(version)s.tar.gz']
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builddependencies = [
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('Autotools', '20200321'),
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('pkg-config', '0.29.2'),
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]
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dependencies = [
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('Check', '0.15.2'),
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('CUDAcore', '11.4.1', '', True),
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]
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# This easyconfig only installs the library and binaries of GDRCopy. Please
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# keep in mind that GDRCopy also needs the following kernel modules at runtime:
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#
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# 1. Kernel module for GDRCopy: improves Host to GPU communication
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# https://github.com/NVIDIA/gdrcopy
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# RPM: 'gdrcopy-kmod', DEB: 'gdrdrv-dkms'
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# Requirements: version of GDRCopy kernel module (gdrdrv.ko) >= 2.0
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#
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# 2. (optional) Kernel module for GPUDirect RDMA: improves GPU to GPU communication
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# https://github.com/Mellanox/nv_peer_memory
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# RPM: 'nvidia_peer_memory'
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# Requirements: Mellanox HCA with MLNX_OFED 2.1
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#
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# These kernel modules are not listed as system dependencies to lower the system
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# requirements to build this easyconfig, as they are not needed for the build.
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skipsteps = ['configure']
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local_envopts = "PREFIX=%(installdir)s CUDA=$EBROOTCUDACORE"
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prebuildopts = "PATH=$PATH:/sbin " # ensures that ldconfig is found
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buildopts = "config lib exes %s" % local_envopts
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installopts = local_envopts
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sanity_check_paths = {
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'files': ['bin/copybw', 'bin/copylat', 'bin/sanity', 'lib/libgdrapi.%s' % SHLIB_EXT],
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'dirs': ['include'],
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}
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moduleclass = 'lib'
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55
g/GDRCopy/GDRCopy-2.3-GCCcore-10.2.0.eb
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55
g/GDRCopy/GDRCopy-2.3-GCCcore-10.2.0.eb
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@ -0,0 +1,55 @@
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# IT4Innovations
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# LK 2021
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easyblock = 'ConfigureMake'
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name = 'GDRCopy'
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version = '2.3'
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homepage = 'https://github.com/NVIDIA/gdrcopy'
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description = "A low-latency GPU memory copy library based on NVIDIA GPUDirect RDMA technology."
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toolchain = {'name': 'GCCcore', 'version': '10.2.0'}
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toolchainopts = {'pic': True}
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github_account = 'NVIDIA'
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source_urls = [GITHUB_SOURCE]
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sources = ['v%(version)s.tar.gz']
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checksums = ['b85d15901889aa42de6c4a9233792af40dd94543e82abe0439e544c87fd79475']
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builddependencies = [
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('binutils', '2.35'),
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('Autotools', '20200321'),
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('pkg-config', '0.29.2'),
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]
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# This easyconfig only installs the library of GDRCopy. Please keep in mind
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# that GDRCopy also needs the following kernel modules at runtime:
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#
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# 1. Kernel module for GDRCopy: improves Host to GPU communication
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# https://github.com/NVIDIA/gdrcopy
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# RPM: 'gdrcopy-kmod', DEB: 'gdrdrv-dkms'
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# Requirements: version of GDRCopy kernel module (gdrdrv.ko) >= 2.0
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#
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# 2. (optional) Kernel module for GPUDirect RDMA: improves GPU to GPU communication
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# https://github.com/Mellanox/nv_peer_memory
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# RPM: 'nvidia_peer_memory'
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# Requirements: Mellanox HCA with MLNX_OFED 2.1
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#
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# These kernel modules are not listed as system dependencies to lower the system
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# requirements to build this easyconfig, as they are not needed for the build.
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skipsteps = ['configure']
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local_envopts = "prefix=%(installdir)s"
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prebuildopts = "PATH=$PATH:/sbin " # ensures that ldconfig is found
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buildopts = "config lib %s" % local_envopts
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install_cmd = "make lib_install"
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installopts = local_envopts
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sanity_check_paths = {
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'files': ['lib/libgdrapi.%s' % SHLIB_EXT],
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'dirs': ['include'],
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}
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moduleclass = 'lib'
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60
g/GDRCopy/GDRCopy-2.3-NVHPC-21.9-CUDA-11.4.1.eb
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60
g/GDRCopy/GDRCopy-2.3-NVHPC-21.9-CUDA-11.4.1.eb
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@ -0,0 +1,60 @@
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# IT4Innovations
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# LK 2021
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easyblock = 'ConfigureMake'
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name = 'GDRCopy'
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version = '2.3'
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versionsuffix = '-CUDA-11.4.1'
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homepage = 'https://github.com/NVIDIA/gdrcopy'
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description = "A low-latency GPU memory copy library based on NVIDIA GPUDirect RDMA technology."
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toolchain = {'name': 'NVHPC', 'version': '21.9'}
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toolchainopts = {'pic': True}
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github_account = 'NVIDIA'
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source_urls = [GITHUB_SOURCE]
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sources = ['v%(version)s.tar.gz']
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checksums = ['b85d15901889aa42de6c4a9233792af40dd94543e82abe0439e544c87fd79475']
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builddependencies = [
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('binutils', '2.35'),
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('Autotools', '20200321'),
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('pkg-config', '0.29.2'),
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]
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dependencies = [
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('CUDAcore', '11.4.1', '', True),
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]
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# This easyconfig only installs the library of GDRCopy. Please keep in mind
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# that GDRCopy also needs the following kernel modules at runtime:
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#
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# 1. Kernel module for GDRCopy: improves Host to GPU communication
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# https://github.com/NVIDIA/gdrcopy
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# RPM: 'gdrcopy-kmod', DEB: 'gdrdrv-dkms'
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# Requirements: version of GDRCopy kernel module (gdrdrv.ko) >= 2.0
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#
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# 2. (optional) Kernel module for GPUDirect RDMA: improves GPU to GPU communication
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# https://github.com/Mellanox/nv_peer_memory
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# RPM: 'nvidia_peer_memory'
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# Requirements: Mellanox HCA with MLNX_OFED 2.1
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#
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# These kernel modules are not listed as system dependencies to lower the system
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# requirements to build this easyconfig, as they are not needed for the build.
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skipsteps = ['configure']
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local_envopts = "prefix=%(installdir)s"
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prebuildopts = "PATH=$PATH:/sbin " # ensures that ldconfig is found
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buildopts = "config lib %s" % local_envopts
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install_cmd = "make lib_install"
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installopts = local_envopts
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sanity_check_paths = {
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'files': ['lib/libgdrapi.%s' % SHLIB_EXT],
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'dirs': ['include'],
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}
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moduleclass = 'lib'
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28
h/HDF5/HDF5-1.10.7-iimpi-2021a.eb
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28
h/HDF5/HDF5-1.10.7-iimpi-2021a.eb
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# 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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65
n/NVHPC/NVHPC-21.9.eb
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65
n/NVHPC/NVHPC-21.9.eb
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# IT4Innovations 2021
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# LK
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name = 'NVHPC'
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version = '21.9'
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homepage = 'https://developer.nvidia.com/hpc-sdk/'
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description = """C, C++ and Fortran compilers included with the NVIDIA HPC SDK (previously: PGI)"""
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toolchain = SYSTEM
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# By downloading, you accept the HPC SDK Software License Agreement (https://docs.nvidia.com/hpc-sdk/eula/index.html)
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accept_eula = True
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source_urls = ['https://developer.download.nvidia.com/hpc-sdk/%(version)s/']
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local_tarball_tmpl = 'nvhpc_2021_%%(version_major)s%%(version_minor)s_Linux_%s_cuda_multi.tar.gz'
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sources = [local_tarball_tmpl % '%(arch)s']
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local_gccver = '10.2.0'
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dependencies = [
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('GCCcore', local_gccver),
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('binutils', '2.35', '', ('GCCcore', local_gccver)),
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# This is necessary to avoid cases where just libnuma.so.1 is present in the system and -lnuma fails
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('numactl', '2.0.13', '', ('GCCcore', local_gccver))
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]
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# specify default CUDA version that should be used by NVHPC
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# should match one of the CUDA versions that are included with this NVHPC version
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# (see install_components/Linux_x86_64/20.7/cuda/)
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# for NVHPC 20.7, those are: 11.0, 10.2, 10.1;
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# this version can be tweaked from the EasyBuild command line with
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# --try-amend=default_cuda_version="10.2" (for example)
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default_cuda_version = '11.4'
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# NVHPC EasyBlock supports some features, which can be set via CLI or this easyconfig.
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# The following list gives examples for the easyconfig
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||||
#
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# NVHPC needs CUDA to work. Two options are available: 1) Use NVHPC-bundled CUDA, 2) use system CUDA
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# 1) Bundled CUDA
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# If no easybuild dependency to CUDA is present, the bundled CUDA is taken. A version needs to be specified with
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# default_cuda_version = "11.0"
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# in this easyconfig file; alternatively, it can be specified through the command line during installation with
|
||||
# --try-amend=default_cuda_version="10.2"
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# 2) CUDA provided via EasyBuild
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# Use CUDAcore as a dependency, for example
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# dependencies = [('CUDAcore', '11.0.2')]
|
||||
# The parameter default_cuda_version still can be set as above.
|
||||
# If not set, it will be deduced from the CUDA module (via $EBVERSIONCUDA)
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#
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# Define a NVHPC-default Compute Capability
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# cuda_compute_capabilities = "8.0"
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cuda_compute_capabilities = '7.0' #V100 GPU
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# Can also be specified on the EasyBuild command line via --cuda-compute-capabilities=8.0
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# Only single values supported, not lists of values!
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||||
#
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# Options to add/remove things to/from environment module (defaults shown)
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# module_byo_compilers = Yes # Remove compilers from PATH (Bring-your-own compilers)
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# module_nvhpc_own_mpi = False # Add NVHPC's own pre-compiled OpenMPI
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# module_add_math_libs = Yes # Add NVHPC's math libraries (which should be there from CUDA anyway)
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# module_add_profilers = Yes # Add NVHPC's NVIDIA Profilers
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||||
# module_add_nccl = Yes # Add NVHPC's NCCL library
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||||
# module_add_nvshmem = Yes # Add NVHPC's NVSHMEM library
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||||
# module_add_cuda = Yes # Add NVHPC's bundled CUDA
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||||
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||||
# this bundle serves as a compiler-only toolchain, so it should be marked as compiler (important for HMNS)
|
||||
moduleclass = 'compiler'
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32
o/OpenMPI/OpenMPI-4.0.6-NVHPC-21.9-CUDA-11.4.1.eb
Normal file
32
o/OpenMPI/OpenMPI-4.0.6-NVHPC-21.9-CUDA-11.4.1.eb
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@ -0,0 +1,32 @@
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# IT4Innovations 2021
|
||||
# LK
|
||||
|
||||
name = 'OpenMPI'
|
||||
version = '4.0.6'
|
||||
versionsuffix = '-CUDA-11.4.1'
|
||||
|
||||
homepage = 'https://www.open-mpi.org/'
|
||||
description = """The Open MPI Project is an open source MPI-3 implementation."""
|
||||
|
||||
toolchain = {'name': 'NVHPC', 'version': '21.9'}
|
||||
|
||||
source_urls = ['https://www.open-mpi.org/software/ompi/v%(version_major_minor)s/downloads']
|
||||
sources = [SOURCELOWER_TAR_GZ]
|
||||
|
||||
dependencies = [
|
||||
('UCX', '1.11.2', versionsuffix),
|
||||
('CUDAcore', '11.4.1', '', True),
|
||||
('GDRCopy', '2.3', versionsuffix),
|
||||
]
|
||||
|
||||
preconfigopts = 'export CC="pgcc -noswitcherror" && export CXX="pgc++ -noswitcherror" && export FC="pgfortran -noswitcherror" && '
|
||||
|
||||
configopts = '--enable-shared --enable-mpi-thread-multiple --with-verbs '
|
||||
configopts += '--with-hwloc=$EBROOTHWLOC ' # hwloc support
|
||||
configopts += '--enable-mpirun-prefix-by-default '
|
||||
configopts += '--with-tm=/opt/pbs ' # Enable PBS
|
||||
configopts += '--enable-mpi-cxx ' # Enable building the C++ MPI bindings
|
||||
configopts += '--with-ucx=$EBROOTUCX '
|
||||
configopts += '--with-cuda=$EBROOTCUDACORE '
|
||||
|
||||
moduleclass = 'mpi'
|
||||
@ -1,57 +0,0 @@
|
||||
# IT4Innovations 2021
|
||||
# JK 2021
|
||||
|
||||
easyblock = 'CMakeMake'
|
||||
|
||||
name = 'QMCPACK'
|
||||
version = '3.11.0'
|
||||
versionsuffix = "-Python-%(pyver)s-test"
|
||||
|
||||
homepage = "https://qmcpack.org/"
|
||||
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.
|
||||
"""
|
||||
|
||||
toolchain = {'name': 'intel', 'version': '2020a'}
|
||||
toolchainopts = {'opt': True, 'pic': True, 'usempi': True, 'optarch': 'march=core-avx2'}
|
||||
|
||||
# AMD/intel cpu
|
||||
import os
|
||||
if os.environ.get("CLUSTERNAME") in ["KAROLINA"]:
|
||||
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) && "
|
||||
|
||||
|
||||
source_urls = ['https://github.com/QMCPACK/qmcpack/archive/']
|
||||
sources = ['v%(version)s.tar.gz']
|
||||
|
||||
builddependencies = [('CMake', '3.16.4')]
|
||||
|
||||
dependencies = [
|
||||
('libxml2', '2.9.10'),
|
||||
('Boost', '1.72.0'),
|
||||
('HDF5', '1.10.6', '', ('iimpi', '2020a')),
|
||||
('Python', '3.8.2'),
|
||||
('h5py', '2.10.0', '-Python-3.8.2'), # versionsuffix
|
||||
('numpy', '1.18.3', '-Python-3.8.2'),
|
||||
('matplotlib', '3.2.1', '-Python-3.8.2'),
|
||||
]
|
||||
|
||||
separate_build_dir = True
|
||||
|
||||
configopts = ' -DENABLE_SOA=1 '
|
||||
|
||||
# prekopiruje nexus knihovny o kterych install file tvrdi, ze nejsou potreba
|
||||
# ale evidentne to bez nich nejede
|
||||
preinstallopts = [
|
||||
' mkdir -p %(installdir)s/nexus && ',
|
||||
' cp -r %(builddir)s/qmcpack-%(version)s/nexus/lib %(installdir)s/nexus/lib && ',
|
||||
]
|
||||
|
||||
# prida nexus knihovny do PYTHONPATH
|
||||
modextrapaths = {'PYTHONPATH': 'nexus/lib'}
|
||||
|
||||
sanity_check_paths = {
|
||||
'files': ['bin/qmcpack'],
|
||||
'dirs': ['bin'],
|
||||
}
|
||||
|
||||
moduleclass = 'phys'
|
||||
@ -1,51 +0,0 @@
|
||||
# IT4Innovations 2021
|
||||
# JK 2021
|
||||
|
||||
easyblock = 'CMakeMake'
|
||||
|
||||
name = 'QMCPACK'
|
||||
version = '3.11.0'
|
||||
versionsuffix = "-Python-%(pyver)s"
|
||||
|
||||
homepage = "https://qmcpack.org/"
|
||||
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.
|
||||
"""
|
||||
|
||||
toolchain = {'name': 'intel', 'version': '2020a'}
|
||||
toolchainopts = {'opt': True, 'pic': True, 'usempi': True}
|
||||
|
||||
source_urls = ['https://github.com/QMCPACK/qmcpack/archive/']
|
||||
sources = ['v%(version)s.tar.gz']
|
||||
|
||||
builddependencies = [('CMake', '3.16.4')]
|
||||
|
||||
dependencies = [
|
||||
('libxml2', '2.9.10'),
|
||||
('Boost', '1.72.0'),
|
||||
('HDF5', '1.10.6', '', ('iimpi', '2020a')),
|
||||
('Python', '3.8.2'),
|
||||
('h5py', '2.10.0', '-Python-3.8.2'), # versionsuffix
|
||||
('numpy', '1.18.3', '-Python-3.8.2'),
|
||||
('matplotlib', '3.2.1', '-Python-3.8.2'),
|
||||
]
|
||||
|
||||
separate_build_dir = True
|
||||
|
||||
configopts = ' -DENABLE_SOA=1 '
|
||||
|
||||
# prekopiruje nexus knihovny o kterych install file tvrdi, ze nejsou potreba
|
||||
# ale evidentne to bez nich nejede
|
||||
preinstallopts = [
|
||||
' mkdir -p %(installdir)s/nexus && ',
|
||||
' cp -r %(builddir)s/qmcpack-%(version)s/nexus/lib %(installdir)s/nexus/lib && ',
|
||||
]
|
||||
|
||||
# prida nexus knihovny do PYTHONPATH
|
||||
modextrapaths = {'PYTHONPATH': 'nexus/lib'}
|
||||
|
||||
sanity_check_paths = {
|
||||
'files': ['bin/qmcpack'],
|
||||
'dirs': ['bin'],
|
||||
}
|
||||
|
||||
moduleclass = 'phys'
|
||||
@ -1,53 +0,0 @@
|
||||
# IT4Innovations 2021
|
||||
# JK 2021
|
||||
|
||||
easyblock = 'CMakeMake'
|
||||
|
||||
name = 'QMCPACK'
|
||||
version = '3.11.0'
|
||||
versionsuffix = "-Python-%(pyver)s-test"
|
||||
|
||||
homepage = "https://qmcpack.org/"
|
||||
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.
|
||||
"""
|
||||
|
||||
toolchain = {'name': 'intel', 'version': '2020b'}
|
||||
toolchainopts = {'opt': True, 'pic': True, 'usempi': True, 'optarch': 'march=core-avx2'}
|
||||
|
||||
source_urls = ['https://github.com/QMCPACK/qmcpack/archive/']
|
||||
sources = ['v%(version)s.tar.gz']
|
||||
|
||||
builddependencies = [('CMake', '3.20.1', '', True)]
|
||||
|
||||
dependencies = [
|
||||
('libxml2', '2.9.10'),
|
||||
('Boost', '1.74.0'),
|
||||
('HDF5', '1.10.6', '-parallel'),
|
||||
('Python', '3.8.6'),
|
||||
('h5py', '3.1.0'),
|
||||
('SciPy-bundle', '2020.11'),
|
||||
('GCC', '9.3.0', '', True),
|
||||
]
|
||||
|
||||
separate_build_dir = True
|
||||
|
||||
configopts = ' -DENABLE_SOA=1 '
|
||||
|
||||
|
||||
# prekopiruje nexus knihovny o kterych install file tvrdi, ze nejsou potreba
|
||||
# ale evidentne to bez nich nejede
|
||||
preinstallopts = [
|
||||
' mkdir -p %(installdir)s/nexus && ',
|
||||
' cp -r %(builddir)s/qmcpack-%(version)s/nexus/lib %(installdir)s/nexus/lib && ',
|
||||
]
|
||||
|
||||
|
||||
# prida nexus knihovny do PYTHONPATH
|
||||
modextrapaths = {'PYTHONPATH': 'nexus/lib'}
|
||||
|
||||
sanity_check_paths = {
|
||||
'files': ['bin/qmcpack'],
|
||||
'dirs': ['bin'],
|
||||
}
|
||||
|
||||
moduleclass = 'phys'
|
||||
@ -1,5 +1,5 @@
|
||||
# IT4Innovations 2021
|
||||
# JK 2021
|
||||
# JK2021
|
||||
|
||||
easyblock = 'CMakeMake'
|
||||
|
||||
@ -11,11 +11,12 @@ homepage = "https://qmcpack.org/"
|
||||
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.
|
||||
"""
|
||||
|
||||
# vyžaduje GCC 9.3.0, které nemá podporu pro naše AMD procesory => kompilace s druhým AMD hackem je broken
|
||||
toolchain = {'name': 'intel', 'version': '2020b'}
|
||||
import os
|
||||
if os.environ.get("CLUSTERNAME") in ["KAROLINA"]:
|
||||
toolchainopts = {'opt': True, 'pic': True, 'usempi': True, 'optarch': 'march=core-avx2'}
|
||||
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) &&"
|
||||
# prebuildopts = "echo %(builddir)s && while read i; do echo $i; sed 's|-xHost|-march=core-avx2|g' -i $i; done < <(grep xHost %(builddir)s -R | cut -d ':' -f 1 | sort -u) &&"
|
||||
else:
|
||||
toolchainopts = {'opt': True, 'pic': True, 'usempi': True}
|
||||
|
||||
@ -29,9 +30,9 @@ dependencies = [
|
||||
('Boost', '1.74.0'),
|
||||
('HDF5', '1.10.6', '-parallel'),
|
||||
('Python', '3.8.6'),
|
||||
('h5py', '3.1.0'), # versionsuffix
|
||||
('h5py', '3.1.0'),
|
||||
('SciPy-bundle', '2020.11'),
|
||||
('GCC', '9.3.0', '', True),
|
||||
('GCC', '9.3.0', '', True), # obejití podmínky GCC 9.3.0
|
||||
]
|
||||
|
||||
separate_build_dir = True
|
||||
|
||||
51
u/UCX/UCX-1.11.2-NVHPC-21.9-CUDA-11.4.1.eb
Normal file
51
u/UCX/UCX-1.11.2-NVHPC-21.9-CUDA-11.4.1.eb
Normal file
@ -0,0 +1,51 @@
|
||||
# IT4Innovations 2021
|
||||
# LK
|
||||
|
||||
easyblock = 'ConfigureMake'
|
||||
|
||||
name = 'UCX'
|
||||
version = '1.11.2'
|
||||
versionsuffix= '-CUDA-11.4.1'
|
||||
|
||||
homepage = 'http://www.openucx.org/'
|
||||
description = """Unified Communication X
|
||||
An open-source production grade communication framework for data centric
|
||||
and high-performance applications
|
||||
"""
|
||||
|
||||
toolchain = {'name': 'NVHPC', 'version': '21.9'}
|
||||
toolchainopts = {'pic': True}
|
||||
|
||||
source_urls = ['https://github.com/openucx/ucx/releases/download/v%(version)s']
|
||||
sources = ['%(namelower)s-%(version)s.tar.gz']
|
||||
#patches = ['%(name)s-%(version)s.patch']
|
||||
|
||||
builddependencies = [
|
||||
('binutils', '2.35'),
|
||||
('Autotools', '20200321'),
|
||||
('pkg-config', '0.29.2'),
|
||||
]
|
||||
|
||||
osdependencies = [OS_PKG_IBVERBS_DEV]
|
||||
|
||||
dependencies = [
|
||||
('numactl', '2.0.13'),
|
||||
('CUDAcore', '11.4.1', '', True),
|
||||
('GDRCopy', '2.3', '-CUDA-11.4.1'),
|
||||
]
|
||||
|
||||
configure_cmd = "contrib/configure-release"
|
||||
|
||||
configopts = '--enable-optimizations --enable-cma --enable-mt --with-verbs --with-gdrcopy=$EBROOTGDRCOPY '
|
||||
configopts += '--without-java --disable-doxygen-doc --with-cuda=$EBROOTCUDACORE '
|
||||
|
||||
buildopts = 'V=1'
|
||||
|
||||
sanity_check_paths = {
|
||||
'files': ['bin/ucx_info', 'bin/ucx_perftest', 'bin/ucx_read_profile'],
|
||||
'dirs': ['include', 'lib', 'share']
|
||||
}
|
||||
|
||||
#sanity_check_commands = ["ucx_info -d"]
|
||||
|
||||
moduleclass = 'lib'
|
||||
Loading…
x
Reference in New Issue
Block a user