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# Copyright 2013-2023 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.package 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"
license("GPL-2.0-only")
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 = [
self.define("FFTW_ROOT", spec["fftw"].prefix),
self.define("FFTW_USE_STATIC_LIBS", "false"),
self.define("BUILD_GPU", str(spec.satisfies("+cuda")).lower()),
self.define("BUILD_SHARED", str(spec.satisfies("+shared")).lower()),
]
if "+cuda" in spec:
cuda_arch = [x for x in spec.variants["cuda_arch"].value if x]
if cuda_arch:
args.append(f"-DCUDA_NVCC_FLAGS={' '.join(self.cuda_flags(cuda_arch))}")
return args
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