new file: c/cuDNN/cuDNN-7.6.3.30-CUDA-10.0.130.eb

new file:   l/Libmsr/Libsmr-master-20191216.eb
This commit is contained in:
Lukáš Krupčík 2019-12-16 09:37:41 +01:00
parent 5cf5311980
commit 38f0df7875
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# IT4Innovations 2019
easyblock = 'Tarball'
name = 'cuDNN'
version = '7.6.3.30'
cuda_version = '10.0.130'
versionsuffix = '-CUDA-%s' % cuda_version
homepage = 'https://developer.nvidia.com/cudnn'
description = """The NVIDIA CUDA Deep Neural Network library (cuDNN) is a GPU-accelerated library of primitives for
deep neural networks."""
toolchain = SYSTEM
# Nvidia developer registration required.
# Download link: https://developer.nvidia.com/rdp/cudnn-download
sources = ['cudnn-10.0-linux-x64-v7.6.3.30.tgz']
dependencies = [('CUDA', cuda_version)]
sanity_check_paths = {
'files': ['include/cudnn.h', 'lib64/libcudnn_static.a'],
'dirs': ['include', 'lib64'],
}
moduleclass = 'numlib'

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# IT4Innovations 2019
easyblock = 'CMakeMake'
name = 'Libmsr'
version = '20191216'
homepage = 'https://github.com/LLNL/libms'
description = """Welcome to Libmsr, a friendly (well, friendlier) interface to many
of the model-specific registers in Intel processors. Now with PCI configuration
register support for some Intel hardware."""
toolchain = SYSTEM
# git clone https://github.com/LLNL/libmsr.git
sources = ['libmsr-master-20191216.tar.gz']
checksums = ['c2e231560a52457c02794de5420e1aed']
builddependencies = [('CMake', '3.16.0', '-rc3')]
sanity_check_paths = {
'files': ['bin/msrmod', 'lib/libmsr.a', 'lib/libmsr.so'],
'dirs': ['bin', 'share', 'include', 'lib'],
}
moduleclass = 'lib'