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from spack import *
from glob import glob
import os
class Cuda(Package):
"""CUDA is a parallel computing platform and programming model invented by
NVIDIA. It enables dramatic increases in computing performance by harnessing
the power of the graphics processing unit (GPU).
Note: NVIDIA does not provide a download URL for CUDA so you will need to
download it yourself. Go to https://developer.nvidia.com/cuda-downloads
and select your Operating System, Architecture, Distribution, and Version.
For the Installer Type, select runfile and click Download. Spack will search
your current directory for this file. Alternatively, add this file to a
mirror so that Spack can find it. For instructions on how to set up a mirror,
see http://software.llnl.gov/spack/mirrors.html
Note: This package does not currently install the drivers necessary to run
CUDA. These will need to be installed manually. See:
http://docs.nvidia.com/cuda/cuda-getting-started-guide-for-linux for details."""
homepage = "http://www.nvidia.com/object/cuda_home_new.html"
version('7.5.18', '4b3bcecf0dfc35928a0898793cf3e4c6', expand=False,
url="file://%s/cuda_7.5.18_linux.run" % os.getcwd())
version('6.5.14', '90b1b8f77313600cc294d9271741f4da', expand=False,
url="file://%s/cuda_6.5.14_linux_64.run" % os.getcwd())
def install(self, spec, prefix):
runfile = glob(os.path.join(self.stage.path, 'cuda*.run'))[0]
chmod = which('chmod')
chmod('+x', runfile)
runfile = which(runfile)
# Note: NVIDIA does not officially support many newer versions of compilers.
# For example, on CentOS 6, you must use GCC 4.4.7 or older. See:
# http://docs.nvidia.com/cuda/cuda-installation-guide-linux/#system-requirements
# for details.
runfile(
'--silent', # disable interactive prompts
'--verbose', # create verbose log file
'--toolkit', # install CUDA Toolkit
'--toolkitpath=%s' % prefix
)
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