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author | Todd Gamblin <tgamblin@llnl.gov> | 2016-03-31 09:45:45 -0700 |
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committer | Todd Gamblin <tgamblin@llnl.gov> | 2016-03-31 09:45:45 -0700 |
commit | a6f6c2b9c544faaf0093d22cde4176068f282634 (patch) | |
tree | 7aeb0dc6fdea28f72f78e89b0596c23b4fe979cc /var | |
parent | a6b87ee14400b8a283b132a9eb002ab1e29ff915 (diff) | |
parent | a0902ad8d8a8c629eb921b8701332385d622bc12 (diff) | |
download | spack-a6f6c2b9c544faaf0093d22cde4176068f282634.tar.gz spack-a6f6c2b9c544faaf0093d22cde4176068f282634.tar.bz2 spack-a6f6c2b9c544faaf0093d22cde4176068f282634.tar.xz spack-a6f6c2b9c544faaf0093d22cde4176068f282634.zip |
Merge pull request #702 from adamjstewart/features/cuda
Add CUDA and HOOMD-blue packages
Diffstat (limited to 'var')
-rw-r--r-- | var/spack/repos/builtin/packages/cuda/package.py | 47 | ||||
-rw-r--r-- | var/spack/repos/builtin/packages/hoomd-blue/package.py | 73 |
2 files changed, 120 insertions, 0 deletions
diff --git a/var/spack/repos/builtin/packages/cuda/package.py b/var/spack/repos/builtin/packages/cuda/package.py new file mode 100644 index 0000000000..ea083d8651 --- /dev/null +++ b/var/spack/repos/builtin/packages/cuda/package.py @@ -0,0 +1,47 @@ +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 + ) + diff --git a/var/spack/repos/builtin/packages/hoomd-blue/package.py b/var/spack/repos/builtin/packages/hoomd-blue/package.py new file mode 100644 index 0000000000..d310b7687a --- /dev/null +++ b/var/spack/repos/builtin/packages/hoomd-blue/package.py @@ -0,0 +1,73 @@ +from spack import * +import os + +class HoomdBlue(Package): + """HOOMD-blue is a general-purpose particle simulation toolkit. It scales + from a single CPU core to thousands of GPUs. + + You define particle initial conditions and interactions in a high-level + python script. Then tell HOOMD-blue how you want to execute the job and it + takes care of the rest. Python job scripts give you unlimited flexibility + to create custom initialization routines, control simulation parameters, + and perform in situ analysis.""" + + homepage = "https://codeblue.umich.edu/hoomd-blue/index.html" + url = "https://bitbucket.org/glotzer/hoomd-blue/get/v1.3.3.tar.bz2" + + version('1.3.3', '1469ef4531dc14b579c0acddbfe6a273') + + variant('mpi', default=True, description='Compile with MPI enabled') + variant('cuda', default=True, description='Compile with CUDA Toolkit') + variant('doc', default=True, description='Generate documentation') + + extends('python') + depends_on('py-numpy') + depends_on('boost+python') + depends_on('cmake') + depends_on('mpi', when='+mpi') + depends_on('cuda', when='+cuda') + depends_on('doxygen', when='+doc') + + def install(self, spec, prefix): + + cmake_args = [ + '-DPYTHON_EXECUTABLE=%s/python' % spec['python'].prefix.bin, + '-DBOOST_ROOT=%s' % spec['boost' ].prefix + ] + + # MPI support + if '+mpi' in spec: + os.environ['MPI_HOME'] = spec['mpi'].prefix + cmake_args.append('-DENABLE_MPI=ON') + else: + cmake_args.append('-DENABLE_MPI=OFF') + + # CUDA support + if '+cuda' in spec: + cmake_args.append('-DENABLE_CUDA=ON') + else: + cmake_args.append('-DENABLE_CUDA=OFF') + + # CUDA-aware MPI library support + #if '+cuda' in spec and '+mpi' in spec: + # cmake_args.append('-DENABLE_MPI_CUDA=ON') + #else: + # cmake_args.append('-DENABLE_MPI_CUDA=OFF') + + # There may be a bug in the MPI-CUDA code. See: + # https://groups.google.com/forum/#!msg/hoomd-users/2griTESmc5I/E69s_M5fDwAJ + # This prevented "make test" from passing for me. + cmake_args.append('-DENABLE_MPI_CUDA=OFF') + + # Documentation + if '+doc' in spec: + cmake_args.append('-DENABLE_DOXYGEN=ON') + else: + cmake_args.append('-DENABLE_DOXYGEN=OFF') + + cmake_args.extend(std_cmake_args) + cmake('.', *cmake_args) + + make() + make("test") + make("install") |