76 lines
3.3 KiB
Python
76 lines
3.3 KiB
Python
##############################################################################
|
|
# Copyright (c) 2013-2016, Lawrence Livermore National Security, LLC.
|
|
# Produced at the Lawrence Livermore National Laboratory.
|
|
#
|
|
# This file is part of Spack.
|
|
# Created by Todd Gamblin, tgamblin@llnl.gov, All rights reserved.
|
|
# LLNL-CODE-647188
|
|
#
|
|
# For details, see https://github.com/llnl/spack
|
|
# Please also see the LICENSE file for our notice and the LGPL.
|
|
#
|
|
# This program is free software; you can redistribute it and/or modify
|
|
# it under the terms of the GNU Lesser General Public License (as
|
|
# published by the Free Software Foundation) version 2.1, February 1999.
|
|
#
|
|
# This program is distributed in the hope that it will be useful, but
|
|
# WITHOUT ANY WARRANTY; without even the IMPLIED WARRANTY OF
|
|
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the terms and
|
|
# conditions of the GNU Lesser General Public License for more details.
|
|
#
|
|
# You should have received a copy of the GNU Lesser General Public
|
|
# License along with this program; if not, write to the Free Software
|
|
# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
|
|
##############################################################################
|
|
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
|
|
)
|