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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 RCCL communication lib")
variant(
"ofi_libfabric_plugin",
default=True,
when="+rccl platform=cray",
description="Builds with support for OFI libfabric enhanced RCCL/NCCL communication lib",
)
variant(
"ofi_libfabric_plugin",
default=True,
when="+nccl platform=cray",
description="Builds with support for OFI libfabric enhanced RCCL/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")
depends_on("rccl", when="+rccl")
depends_on("aws-ofi-rccl", when="+rccl +ofi_libfabric_plugin platform=cray")
depends_on("aws-ofi-nccl", when="+nccl +ofi_libfabric_plugin platform=cray")
conflicts("~cuda", when="+cuda_rma", msg="CUDA RMA support requires CUDA")
conflicts("+cuda", when="+rocm", msg="CUDA and ROCm support are mutually exclusive")
conflicts("+nccl", when="+rccl", msg="NCCL and RCCL 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)
)
args.extend(
[
"-DCMAKE_HIP_ARCHITECTURES=%s" % arch_str,
"-DAMDGPU_TARGETS=%s" % arch_str,
"-DGPU_TARGETS=%s" % arch_str,
]
)
return args
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