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# Copyright 2013-2020 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack import *
class Accfft(CMakePackage, CudaPackage):
"""AccFFT extends existing FFT libraries for CUDA-enabled
Graphics Processing Units (GPUs) to distributed memory clusters
"""
homepage = "http://accfft.org"
git = "https://github.com/amirgholami/accfft.git"
version('develop', branch='master')
variant('pnetcdf', default=True, description='Add support for parallel NetCDF')
variant('shared', default=True, description='Enables the build of shared libraries')
# See: http://accfft.org/articles/install/#installing-dependencies
depends_on('fftw precision=float,double ~mpi+openmp')
depends_on('parallel-netcdf', when='+pnetcdf')
# fix error [-Wc++11-narrowing]
patch('fix_narrowing_error.patch')
parallel = False
def cmake_args(self):
spec = self.spec
args = [
'-DFFTW_ROOT={0}'.format(spec['fftw'].prefix),
'-DFFTW_USE_STATIC_LIBS=false',
'-DBUILD_GPU={0}'.format('true' if '+cuda' in spec else 'false'),
'-DBUILD_SHARED={0}'.format(
'true' if '+shared' in spec else 'false'
),
]
if '+cuda' in spec:
cuda_arch = [x for x in spec.variants['cuda_arch'].value if x]
if cuda_arch:
args.append('-DCUDA_NVCC_FLAGS={0}'.format(
' '.join(self.cuda_flags(cuda_arch))
))
return args
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