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##############################################################################
# Copyright (c) 2013-2017, 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/spack/spack
# Please also see the NOTICE and LICENSE files 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 *
import os
class Vtkm(Package):
"""VTK-m is a toolkit of scientific visualization algorithms for emerging
processor architectures. VTK-m supports the fine-grained concurrency for
data analysis and visualization algorithms required to drive extreme scale
computing by providing abstract models for data and execution that can be
applied to a variety of algorithms across many different processor
architectures."""
homepage = "https://m.vtk.org/"
url = "https://gitlab.kitware.com/vtk/vtk-m/repository/v1.1.0/archive.tar.gz"
version('1.1.0', "6aab1c0885f6ffaaffcf07930873d0df")
version('master',
git='https://gitlab.kitware.com/vtk/vtk-m.git',
branch='master')
variant("cuda", default=False, description="build cuda support")
variant("tbb", default=True, description="build TBB support")
depends_on("cmake")
depends_on("tbb", when="+tbb")
depends_on("cuda", when="+cuda")
def install(self, spec, prefix):
with working_dir('spack-build', create=True):
cmake_args = ["../",
"-DVTKm_ENABLE_TESTING=OFF",
"-DVTKm_BUILD_RENDERING=ON",
"-DVTKm_USE_64BIT_IDS=OFF",
"-DVTKm_USE_DOUBLE_PRECISION=ON"]
# tbb support
if "+tbb" in spec:
# vtk-m detectes tbb via TBB_ROOT env var
os.environ["TBB_ROOT"] = spec["tbb"].prefix
cmake_args.append("-DVTKm_ENABLE_TBB=ON")
# cuda support
if "+cuda" in spec:
cmake_args.append("-DVTKm_ENABLE_CUDA=ON")
# this fix is necessary if compiling platform has cuda, but
# no devices (this common for front end nodes on hpc clusters)
# we choose kepler as a lowest common denominator
cmake_args.append("-DVTKm_CUDA_Architecture=kepler")
# use release, instead of release with debug symbols b/c vtkm libs
# can overwhelm compilers with too many symbols
for arg in std_cmake_args:
if arg.count("CMAKE_BUILD_TYPE") == 0:
cmake_args.extend(std_cmake_args)
cmake_args.append("-DCMAKE_BUILD_TYPE=Release")
cmake(*cmake_args)
make()
make("install")
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