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