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# Copyright 2013-2021 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 Amrex(CMakePackage, CudaPackage, ROCmPackage):
"""AMReX is a publicly available software framework designed
for building massively parallel block- structured adaptive
mesh refinement (AMR) applications."""
homepage = "https://amrex-codes.github.io/amrex/"
url = "https://github.com/AMReX-Codes/amrex/releases/download/21.10/amrex-21.10.tar.gz"
git = "https://github.com/AMReX-Codes/amrex.git"
tags = ['ecp', 'e4s']
maintainers = ['WeiqunZhang', 'asalmgren']
version('develop', branch='development')
version('21.10', sha256='a11954c03b1ec26c26b676460dc5de5195469e813b70fbcea6dfdefeafaf5407')
version('21.09', sha256='983b41d93bf9417c032080fd2ec7c04d0d2b820e613a076bd07566aa5a8aa4bd')
version('21.08', sha256='34fb6c72735c74820b27db1138e5bc9fe698ffbd8344aae10a5fbdace479b57f')
version('21.07', sha256='9630b8c0c7ffbf3f5ea4d973a3fdb40b9b10fec0f8df33b9e24d76d2c1d15771')
version('21.06', sha256='6982c22837d7c0bc4583065d9da55e0aebcf07b54386e4b90a779391fe73fd53')
version('21.05', sha256='eb6d21e48279ad67278413c77b29a1754c18ffe741aa6b3a9f3f01eeac13177f')
version('21.04', sha256='1c610e4b0800b16f7f1da74193ff11af0abfb12198b36a7e565a6a7f793087fa')
version('21.03', sha256='6307bf75c80c2076bf5bd1cff4d12483280a32b5175fe117f32eed9c89cd1ac5')
version('21.02', sha256='4a7ef997c43f9f03f1b06dd1aafa01218773a3265a5c1811f77eb4521b5e75b3')
version('21.01', sha256='59de3ed429347ee6a7ad4f09c0c431248f2e081f59c301db37cacb36993622f4')
version('20.12', sha256='a8ba1d605780250da77619939582ce44b33cd286f2dbcc0dfd5cdbaf209140a5')
version('20.11', sha256='b86f4f2ebf414cec050e562d4ab81545944bda581b496d69767b4bf6a3060855')
version('20.10', sha256='92def480d1f0bcb5bcb9dfae2ddc8997060414386a1d71ccbfdad785fa2e46fa')
version('20.09', sha256='3ae203f18656117d8201da16e899a6144ec217817a2a5d9b7649e2eef9cacdf9')
version('20.08', sha256='a202430cd8dbef2de29b20fe9b5881cc58ee762326556ec3c0ad9c3f85ddfc2f')
version('20.07', sha256='c386f566f4c57ee56b5630f79ce2c6117d5a612a4aab69b7b26e48d577251165')
version('20.06', sha256='be2f2a5107111fcb8b3928b76024b370c7cb01a9e5dd79484cf7fcf59d0b4858')
version('20.05', sha256='97d753bb75e845a0a959ec1a044a48e6adb86dd008b5e29ce7a01d49ed276338')
version('20.04', sha256='a7ece54d5d89cc00fd555551902a0d4d0fb50db15d2600f441353eed0dddd83b')
version('20.03', sha256='9728f20c0d7297c935fe5cbc63c1ee60f983b833a735c797340ee2765d626165')
version('20.02', sha256='2eda858b43e7455718ccb96c18f678da1778ec61031e90effdcb9c3e7e6f9bb5')
version('20.01', sha256='957e7a7fe90a0a9f4ae10bf9e46dba68d72448d0bec69a4a4e66a544930caca3')
version('19.10', sha256='9f30a2b3ec13711dfc6a1b59af59bd7df78449b5846ac6457b5dbbdecb20c576')
version('19.08', sha256='94b1e9a9dcfb8c5b52aef91a2ed373aef504d766dd7d0aba6731ceb94e48e940')
version('18.10.1', sha256='e648465c9c3b7ff4c696dfa8b6d079b4f61c80d96c51e27af210951c9367c201')
version('18.10', sha256='298eba03ef03d617c346079433af1089d38076d6fab2c34476c687740c1f4234')
version('18.09.1', sha256='a065ee4d1d98324b6c492ae20ea63ba12a4a4e23432bf5b3fe9788d44aa4398e')
# Config options
variant('dimensions', default='3',
description='Dimensionality', values=('2', '3'))
variant('shared', default=False,
description='Build shared library')
variant('mpi', default=True,
description='Build with MPI support')
variant('openmp', default=False,
description='Build with OpenMP support')
variant('precision', default='double',
description='Real precision (double/single)',
values=('single', 'double'))
variant('eb', default=False,
description='Build Embedded Boundary classes')
variant('fortran', default=False,
description='Build Fortran API')
variant('linear_solvers', default=True,
description='Build linear solvers')
variant('amrdata', default=False,
description='Build data services')
variant('particles', default=False,
description='Build particle classes')
variant('plotfile_tools', default=False,
description='Build plotfile_tools like fcompare')
variant('hdf5', default=False,
description='Enable HDF5-based I/O')
variant('hypre', default=False,
description='Enable Hypre interfaces')
variant('petsc', default=False,
description='Enable PETSc interfaces')
variant('sundials', default=False,
description='Enable SUNDIALS interfaces')
variant('pic', default=False,
description='Enable PIC')
# Build dependencies
depends_on('mpi', when='+mpi')
depends_on('sundials@4.0.0:4.1.0 +ARKODE +CVODE', when='@19.08:20.11 +sundials')
depends_on('sundials@5.7.0: +ARKODE +CVODE', when='@21.07: +sundials')
for arch in CudaPackage.cuda_arch_values:
depends_on('sundials@5.7.0: +ARKODE +CVODE +cuda cuda_arch=%s' % arch, when='@21.07: +sundials +cuda cuda_arch=%s' % arch)
for tgt in ROCmPackage.amdgpu_targets:
depends_on('sundials@5.7.0: +ARKODE +CVODE +rocm amdgpu_target=%s' % tgt, when='@21.07: +sundials +rocm amdgpu_target=%s' % tgt)
depends_on('cuda@9.0.0:', when='+cuda')
depends_on('python@2.7:', type='build', when='@:20.04')
depends_on('cmake@3.5:', type='build', when='@:18.10.99')
depends_on('cmake@3.13:', type='build', when='@18.11:')
depends_on('cmake@3.14:', type='build', when='@19.04:')
# cmake @3.17: is necessary to handle cuda @11: correctly
depends_on('cmake@3.17:', type='build', when='^cuda @11:')
depends_on('hdf5@1.10.4: +mpi', when='+hdf5')
depends_on('rocrand', type='build', when='+rocm')
depends_on('rocprim', type='build', when='@21.05: +rocm')
depends_on('hypre@2.18.2:', type='link', when='@:21.02 +hypre')
depends_on('hypre@2.19.0:', type='link', when='@21.03: ~cuda +hypre')
depends_on('hypre@2.20.0:', type='link', when='@21.03: +cuda +hypre')
depends_on('petsc', type='link', when='+petsc')
# these versions of gcc have lambda function issues
# see https://github.com/spack/spack/issues/22310
conflicts('%gcc@8.1.0:8.3.0', when='@21.03')
conflicts('%gcc@8.1.0:8.2.0', when='@21.01:21.02')
# Check options compatibility
conflicts('+sundials', when='@19.08:20.11 ~fortran',
msg='AMReX SUNDIALS support needs AMReX Fortran API (+fortran)')
conflicts('+sundials', when='@20.12:21.06',
msg='AMReX 20.12 -- 21.06 does not support SUNDIALS interfaces')
conflicts('+hdf5', when='@:20.06',
msg='AMReX HDF5 support needs AMReX newer than version 20.06')
conflicts('+hypre', when='@:20.06',
msg='AMReX Hypre support needs AMReX newer than version 20.06')
conflicts('+hypre', when='@:20.07 ~fortran',
msg='AMReX < 20.08 needs the Fortran API (+fortran) for Hypre support')
conflicts('+hypre', when='~linear_solvers',
msg='AMReX Hypre support needs variant +linear_solvers')
conflicts('+petsc', when='@:20.06',
msg='PETSc support needs AMReX newer than version 20.06')
conflicts('+petsc', when='@:20.07 ~fortran',
msg='AMReX < 20.08 needs the Fortran API (+fortran) for PETSc support')
conflicts('+petsc', when='~linear_solvers',
msg='AMReX PETSc support needs variant +linear_solvers')
conflicts('+cuda', when='@:19.08',
msg='AMReX CUDA support needs AMReX newer than version 19.08')
conflicts('cuda_arch=10', when='+cuda', msg='AMReX only supports compute capabilities >= 3.5')
conflicts('cuda_arch=11', when='+cuda', msg='AMReX only supports compute capabilities >= 3.5')
conflicts('cuda_arch=12', when='+cuda', msg='AMReX only supports compute capabilities >= 3.5')
conflicts('cuda_arch=13', when='+cuda', msg='AMReX only supports compute capabilities >= 3.5')
conflicts('cuda_arch=20', when='+cuda', msg='AMReX only supports compute capabilities >= 3.5')
conflicts('cuda_arch=21', when='+cuda', msg='AMReX only supports compute capabilities >= 3.5')
conflicts('cuda_arch=30', when='+cuda', msg='AMReX only supports compute capabilities >= 3.5')
conflicts('cuda_arch=32', when='+cuda', msg='AMReX only supports compute capabilities >= 3.5')
conflicts('+rocm', when='@:20.11', msg='AMReX HIP support needs AMReX newer than version 20.11')
conflicts('%rocm@4.2.0:4.2.99', when='+rocm',
msg='AMReX does not support rocm-4.2 due to a compiler bug')
conflicts('+cuda', when='+rocm', msg='CUDA and HIP support are exclusive')
def url_for_version(self, version):
if version >= Version('20.05'):
url = "https://github.com/AMReX-Codes/amrex/releases/download/{0}/amrex-{0}.tar.gz"
else:
url = "https://github.com/AMReX-Codes/amrex/archive/{0}.tar.gz"
return url.format(version.dotted)
def get_cuda_arch_string(self, values):
if 'none' in values:
return 'Auto'
else:
# Use format x.y instead of CudaPackage xy format
vf = tuple(float(x) / 10.0 for x in values)
return ';'.join(str(x) for x in vf)
#
# For versions > 20.11
#
@when('@20.12:,develop')
def cmake_args(self):
args = [
'-DUSE_XSDK_DEFAULTS=ON',
self.define_from_variant('AMReX_SPACEDIM', 'dimensions'),
self.define_from_variant('BUILD_SHARED_LIBS', 'shared'),
self.define_from_variant('AMReX_MPI', 'mpi'),
self.define_from_variant('AMReX_OMP', 'openmp'),
'-DXSDK_PRECISION:STRING=%s' %
self.spec.variants['precision'].value.upper(),
self.define_from_variant('XSDK_ENABLE_Fortran', 'fortran'),
self.define_from_variant('AMReX_FORTRAN_INTERFACES', 'fortran'),
self.define_from_variant('AMReX_EB', 'eb'),
self.define_from_variant('AMReX_LINEAR_SOLVERS',
'linear_solvers'),
self.define_from_variant('AMReX_AMRDATA', 'amrdata'),
self.define_from_variant('AMReX_PARTICLES', 'particles'),
self.define_from_variant('AMReX_PLOTFILE_TOOLS', 'plotfile_tools'),
self.define_from_variant('AMReX_HDF5', 'hdf5'),
self.define_from_variant('AMReX_HYPRE', 'hypre'),
self.define_from_variant('AMReX_PETSC', 'petsc'),
self.define_from_variant('AMReX_SUNDIALS', 'sundials'),
self.define_from_variant('AMReX_PIC', 'pic'),
]
if self.spec.satisfies('%fj'):
args.append('-DCMAKE_Fortran_MODDIR_FLAG=-M')
if '+cuda' in self.spec:
args.append('-DAMReX_GPU_BACKEND=CUDA')
args.append('-DAMReX_CUDA_ERROR_CAPTURE_THIS=ON')
args.append('-DAMReX_CUDA_ERROR_CROSS_EXECUTION_SPACE_CALL=ON')
cuda_arch = self.spec.variants['cuda_arch'].value
args.append('-DAMReX_CUDA_ARCH=' + self.get_cuda_arch_string(cuda_arch))
if '+rocm' in self.spec:
args.append('-DCMAKE_CXX_COMPILER={0}'.format(self.spec['hip'].hipcc))
args.append('-DAMReX_GPU_BACKEND=HIP')
targets = self.spec.variants['amdgpu_target'].value
args.append('-DAMReX_AMD_ARCH=' + ';'.join(str(x) for x in targets))
return args
#
# For versions <= 20.11
#
@when('@:20.11')
def cmake_args(self):
args = [
'-DUSE_XSDK_DEFAULTS=ON',
self.define_from_variant('DIM', 'dimensions'),
self.define_from_variant('BUILD_SHARED_LIBS', 'shared'),
self.define_from_variant('ENABLE_MPI', 'mpi'),
self.define_from_variant('ENABLE_OMP', 'openmp'),
'-DXSDK_PRECISION:STRING=%s' %
self.spec.variants['precision'].value.upper(),
self.define_from_variant('XSDK_ENABLE_Fortran', 'fortran'),
self.define_from_variant('ENABLE_FORTRAN_INTERFACES', 'fortran'),
self.define_from_variant('ENABLE_EB', 'eb'),
self.define_from_variant('ENABLE_LINEAR_SOLVERS',
'linear_solvers'),
self.define_from_variant('ENABLE_AMRDATA', 'amrdata'),
self.define_from_variant('ENABLE_PARTICLES', 'particles'),
self.define_from_variant('ENABLE_SUNDIALS', 'sundials'),
self.define_from_variant('ENABLE_HDF5', 'hdf5'),
self.define_from_variant('ENABLE_HYPRE', 'hypre'),
self.define_from_variant('ENABLE_PETSC', 'petsc'),
self.define_from_variant('ENABLE_CUDA', 'cuda'),
]
if self.spec.satisfies('%fj'):
args.append('-DCMAKE_Fortran_MODDIR_FLAG=-M')
if '+cuda' in self.spec:
cuda_arch = self.spec.variants['cuda_arch'].value
args.append('-DCUDA_ARCH=' + self.get_cuda_arch_string(cuda_arch))
return args
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