Files
spack-psi/packages/ippl/package.py
2024-10-09 16:11:29 +02:00

100 lines
4.1 KiB
Python

# Copyright 2013-2024 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)
# ----------------------------------------------------------------------------
# If you submit this package back to Spack as a pull request,
# please first remove this boilerplate and all FIXME comments.
#
# This is a template package file for Spack. We've put "FIXME"
# next to all the things you'll want to change. Once you've handled
# them, you can save this file and test your package like this:
#
# spack install ippl
#
# You can edit this file again by typing:
#
# spack edit ippl
#
# See the Spack documentation for more information on packaging.
# ----------------------------------------------------------------------------
from spack.package import *
class Ippl(CMakePackage, CudaPackage):
"""Independent Parallel Particle Layer (IPPL) is a performance portable C++ library for Particle-Mesh methods. IPPL makes use of Kokkos (https://github.com/kokkos/kokkos), HeFFTe (https://github.com/icl-utk-edu/heffte), and MPI (Message Passing Interface) to deliver a portable, massively parallel toolkit for particle-mesh methods. IPPL supports simulations in one to six dimensions, mixed precision, and asynchronous execution in different execution spaces (e.g. CPUs and GPUs)."""
homepage = "https://github.com/IPPL-framework/ippl"
url = "https://github.com/IPPL-framework/ippl/archive/refs/tags/IPPL-3.2.0.tar.gz"
git="https://github.com/IPPL-framework/ippl.git"
maintainers("germanne", "gsell")
license("GPLv3")
version("3.2.0", sha256="041a4efbddaba5b477dae01ab166354da7dee01cf625706e19f5b60c0c3f6b88")
version('opalx-fielddump', branch="opalx-fielddump")
variant(
"build_type",
default="Release",
description="CMake build type",
values=("Debug", "Release", "RelWithDebInfo", "MinSizeRel"),
)
variant("mpi", default=True, description="Enable MPI support")
variant(
"platforms",
default=True,
description="Set IPPL platforms",
values=("serial", "openmp", "cuda", "openmp/cuda")
)
variant("solvers", default=True, description="Enable solvers")
variant("fft", default=True, description="Enable full-wave solver")
variant("tests", default=False, description="Enable tests")
variant("unit_tests", default=False, description="Enable unit tests")
variant("alternative_variant", default=False, description="Use alternative variant")
variant("alpine", default=False, description="Enable Alpine")
depends_on("cmake@3.25.2:", type="build")
depends_on("fftw@3.3.10", when="+fft")
depends_on("mpi", when="+mpi")
conflicts("~mpi", msg="IPPL can not run without mpi!")
conflicts("cuda_arch=none", when="+cuda",
msg="CUDA architecture is required")
conflicts("~cuda", when="platform=cuda",
msg="CUDA is required for platform cuda.")
def cmake_args(self):
args = [
"-DCMAKE_CXX_STANDARD=20",
self.define_from_variant("ENABLE_FFT", "fft"),
self.define_from_variant("ENABLE_SOLVERS", "solvers"),
self.define_from_variant("ENABLE_TESTS", "tests"),
self.define_from_variant("ENABLE_UNIT_TESTS", "unit_tests"),
self.define_from_variant("USE_ALTERNATIVE_VARIANT", "alternative_variant"),
self.define_from_variant("ENABLE_ALPINE", "alpine"),
]
if 'platforms=cuda' in self.spec:
args.append("-DIPPL_PLATFORMS=CUDA")
elif 'platforms=openmp' in self.spec:
args.append("-DIPPL_PLATFORMS=OPENMP")
elif 'platforms=openmp/cuda' in self.spec:
args.append("-DIPPL_PLATFORMS=OPENMP;CUDA")
else:
args.append("-DIPPL_PLATFORMS=SERIAL")
if 'cuda_arch=90' in self.spec:
args.append("-DKokkos_ARCH_HOPPER90=ON")
elif 'cuda_arch=80' in self.spec:
args.append("-DKokkos_ARCH_AMPERE80=ON")
elif 'cuda_arch=60' in self.spec:
args.append("-DKokkos_ARCH_PASCAL61=ON")
return args