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# Copyright 2013-2022 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)
import os
from spack.package import *
class Aluminum(CMakePackage, CudaPackage, ROCmPackage):
"""Aluminum provides a generic interface to high-performance
communication libraries, with a focus on allreduce
algorithms. Blocking and non-blocking algorithms and GPU-aware
algorithms are supported. Aluminum also contains custom
implementations of select algorithms to optimize for certain
situations."""
homepage = "https://github.com/LLNL/Aluminum"
url = "https://github.com/LLNL/Aluminum/archive/v0.1.tar.gz"
git = "https://github.com/LLNL/Aluminum.git"
tags = ['ecp', 'radiuss']
maintainers = ['bvanessen']
version('master', branch='master')
version('1.0.0-lbann', tag='v1.0.0-lbann')
version('1.0.0', sha256='028d12e271817214db5c07c77b0528f88862139c3e442e1b12f58717290f414a')
version('0.7.0', sha256='bbb73d2847c56efbe6f99e46b41d837763938483f2e2d1982ccf8350d1148caa')
version('0.6.0', sha256='6ca329951f4c7ea52670e46e5020e7e7879d9b56fed5ff8c5df6e624b313e925')
version('0.5.0', sha256='dc365a5849eaba925355a8efb27005c5f22bcd1dca94aaed8d0d29c265c064c1')
version('0.4.0', sha256='4d6fab5481cc7c994b32fb23a37e9ee44041a9f91acf78f981a97cb8ef57bb7d')
version('0.3.3', sha256='26e7f263f53c6c6ee0fe216e981a558dfdd7ec997d0dd2a24285a609a6c68f3b')
version('0.3.2', sha256='09b6d1bcc02ac54ba269b1123eee7be20f0104b93596956c014b794ba96b037f')
version('0.2.1-1', sha256='066b750e9d1134871709a3e2414b96b166e0e24773efc7d512df2f1d96ee8eef')
version('0.2.1', sha256='3d5d15853cccc718f60df68205e56a2831de65be4d96e7f7e8497097e7905f89')
version('0.2', sha256='fc8f06c6d8faab17a2aedd408d3fe924043bf857da1094d5553f35c4d2af893b')
version('0.1', sha256='3880b736866e439dd94e6a61eeeb5bb2abccebbac82b82d52033bc6c94950bdb')
variant('nccl', default=False, description='Builds with support for NCCL communication lib')
variant('ht', default=False, description='Builds with support for host-enabled MPI'
' communication of accelerator data')
variant('cuda_rma', default=False, description='Builds with support for CUDA intra-node '
' Put/Get and IPC RMA functionality')
variant('rccl', default=False, description='Builds with support for NCCL communication lib')
depends_on('cmake@3.21.0:', type='build', when='@1.0.1:')
depends_on('cmake@3.17.0:', type='build', when='@:1.0.0')
depends_on('mpi')
depends_on('nccl@2.7.0-0:', when='+nccl')
depends_on('hwloc@1.11:')
depends_on('hwloc +cuda +nvml', when='+cuda')
depends_on('hwloc@2.3.0:', when='+rocm')
depends_on('cub', when='@:0.1,0.6.0: +cuda ^cuda@:10')
depends_on('hipcub', when='@:0.1,0.6.0: +rocm')
conflicts('~cuda', when='+cuda_rma', msg='CUDA RMA support requires CUDA')
conflicts('+cuda', when='+rocm', msg='CUDA and ROCm support are mutually exclusive')
generator = 'Ninja'
depends_on('ninja', type='build')
def cmake_args(self):
spec = self.spec
args = [
'-DCMAKE_CXX_STANDARD:STRING=17',
'-DALUMINUM_ENABLE_CUDA:BOOL=%s' % ('+cuda' in spec),
'-DALUMINUM_ENABLE_NCCL:BOOL=%s' % ('+nccl' in spec or '+rccl' in spec),
'-DALUMINUM_ENABLE_ROCM:BOOL=%s' % ('+rocm' in spec)]
if not spec.satisfies('^cmake@3.23.0'):
# There is a bug with using Ninja generator in this version
# of CMake
args.append('-DCMAKE_EXPORT_COMPILE_COMMANDS=ON')
if '+cuda' in spec:
if self.spec.satisfies('%clang'):
for flag in self.spec.compiler_flags['cxxflags']:
if 'gcc-toolchain' in flag:
args.append('-DCMAKE_CUDA_FLAGS=-Xcompiler={0}'.format(flag))
if spec.satisfies('^cuda@11.0:'):
args.append('-DCMAKE_CUDA_STANDARD=17')
else:
args.append('-DCMAKE_CUDA_STANDARD=14')
archs = spec.variants['cuda_arch'].value
if archs != 'none':
arch_str = ";".join(archs)
args.append('-DCMAKE_CUDA_ARCHITECTURES=%s' % arch_str)
if (spec.satisfies('%cce') and
spec.satisfies('^cuda+allow-unsupported-compilers')):
args.append('-DCMAKE_CUDA_FLAGS=-allow-unsupported-compiler')
if spec.satisfies('@0.5:'):
args.extend([
'-DALUMINUM_ENABLE_HOST_TRANSFER:BOOL=%s' % ('+ht' in spec),
'-DALUMINUM_ENABLE_MPI_CUDA:BOOL=%s' %
('+cuda_rma' in spec),
'-DALUMINUM_ENABLE_MPI_CUDA_RMA:BOOL=%s' %
('+cuda_rma' in spec)])
else:
args.append(
'-DALUMINUM_ENABLE_MPI_CUDA:BOOL=%s' % ('+ht' in spec))
if spec.satisfies('@:0.1,0.6.0: +cuda ^cuda@:10'):
args.append(
'-DCUB_DIR:FILEPATH=%s' % spec['cub'].prefix)
# Add support for OS X to find OpenMP (LLVM installed via brew)
if self.spec.satisfies('%clang platform=darwin'):
clang = self.compiler.cc
clang_bin = os.path.dirname(clang)
clang_root = os.path.dirname(clang_bin)
args.extend([
'-DOpenMP_DIR={0}'.format(clang_root)])
if '+rocm' in spec:
args.extend([
'-DHIP_ROOT_DIR={0}'.format(spec['hip'].prefix),
'-DHIP_CXX_COMPILER={0}'.format(self.spec['hip'].hipcc),
'-DCMAKE_CXX_FLAGS=-std=c++17'])
archs = self.spec.variants['amdgpu_target'].value
if archs != 'none':
arch_str = ",".join(archs)
args.append(
'-DHIP_HIPCC_FLAGS=--amdgpu-target={0}'
' -g -fsized-deallocation -fPIC -std=c++17'.format(arch_str)
)
return args
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