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# 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)
from spack.package import *
class DlaFuture(CMakePackage, CudaPackage, ROCmPackage):
"""DLA-Future library: Distributed Linear Algebra with Future"""
homepage = "https://github.com/eth-cscs/DLA-Future"
url = "https://github.com/eth-cscs/DLA-Future/archive/v0.0.0.tar.gz"
git = "https://github.com/eth-cscs/DLA-Future.git"
maintainers = ["rasolca", "albestro", "msimberg", "aurianer"]
license("BSD-3-Clause")
version("0.3.1", sha256="350a7fd216790182aa52639a3d574990a9d57843e02b92d87b854912f4812bfe")
version("0.3.0", sha256="9887ac0b466ca03d704a8738bc89e68550ed33509578c576390e98e76b64911b")
version("0.2.1", sha256="4c2669d58f041304bd618a9d69d9879a42e6366612c2fc932df3894d0326b7fe")
version("0.2.0", sha256="da73cbd1b88287c86d84b1045a05406b742be924e65c52588bbff200abd81a10")
version("0.1.0", sha256="f7ffcde22edabb3dc24a624e2888f98829ee526da384cd752b2b271c731ca9b1")
version("master", branch="master")
variant("shared", default=True, description="Build shared libraries.")
variant(
"hdf5",
default=False,
when="@0.2.0:",
description="HDF5 support for dealing with matrices on disk.",
)
variant("doc", default=False, description="Build documentation.")
variant("miniapps", default=False, description="Build miniapps.")
variant(
"scalapack",
default=False,
when="@0.2.0:",
description="Build C API compatible with ScaLAPACK",
)
depends_on("cmake@3.22:", type="build")
depends_on("doxygen", type="build", when="+doc")
depends_on("mpi")
depends_on("blas")
depends_on("lapack")
depends_on("scalapack", when="+scalapack")
depends_on("blaspp@2022.05.00:")
depends_on("lapackpp@2022.05.00:")
depends_on("umpire~examples")
depends_on("umpire~cuda", when="~cuda")
depends_on("umpire~rocm", when="~rocm")
depends_on("umpire+cuda~shared", when="+cuda")
depends_on("umpire+rocm~shared", when="+rocm")
depends_on("umpire@4.1.0:")
depends_on("pika@0.15.1:", when="@0.1")
depends_on("pika@0.16:", when="@0.2.0")
depends_on("pika@0.17:", when="@0.2.1")
depends_on("pika@0.18:", when="@0.3.0:")
depends_on("pika-algorithms@0.1:", when="@:0.2")
depends_on("pika +mpi")
depends_on("pika +cuda", when="+cuda")
depends_on("pika +rocm", when="+rocm")
conflicts("^pika cxxstd=20", when="+cuda")
depends_on("whip +cuda", when="+cuda")
depends_on("whip +rocm", when="+rocm")
depends_on("rocblas", when="+rocm")
depends_on("rocprim", when="+rocm")
depends_on("rocsolver", when="+rocm")
depends_on("rocthrust", when="+rocm")
# nvcc 11.2 and older is unable to detect fmt::formatter specializations.
# DLA-Future 0.3.1 includes a workaround to avoid including fmt in device
# code:
# https://github.com/pika-org/pika/issues/870
# https://github.com/eth-cscs/DLA-Future/pull/1045
conflicts("^fmt@10:", when="@:0.3.0 +cuda ^cuda@:11.2")
# Compilation problem triggered by the bundled fmt in Umpire together with
# fmt 10, which only happens with GCC 9 and nvcc 11.2 and older:
# https://github.com/eth-cscs/DLA-Future/issues/1044
conflicts("^fmt@10:", when="@:0.3.0 %gcc@9 +cuda ^cuda@:11.2 ^umpire@2022.10:")
# Pedantic warnings, triggered by GCC 9 and 10, are always errors until 0.3.1:
# https://github.com/eth-cscs/DLA-Future/pull/1043
conflicts("%gcc@9:10", when="@:0.3.0")
depends_on("hdf5 +cxx+mpi+threadsafe+shared", when="+hdf5")
conflicts("+cuda", when="+rocm")
with when("+rocm"):
for val in ROCmPackage.amdgpu_targets:
depends_on("pika amdgpu_target={0}".format(val), when="amdgpu_target={0}".format(val))
depends_on(
"rocsolver amdgpu_target={0}".format(val), when="amdgpu_target={0}".format(val)
)
depends_on(
"rocblas amdgpu_target={0}".format(val), when="amdgpu_target={0}".format(val)
)
depends_on(
"rocprim amdgpu_target={0}".format(val), when="amdgpu_target={0}".format(val)
)
depends_on(
"rocthrust amdgpu_target={0}".format(val), when="amdgpu_target={0}".format(val)
)
depends_on("whip amdgpu_target={0}".format(val), when="amdgpu_target={0}".format(val))
depends_on(
"umpire amdgpu_target={0}".format(val), when="amdgpu_target={0}".format(val)
)
with when("+cuda"):
for val in CudaPackage.cuda_arch_values:
depends_on("pika cuda_arch={0}".format(val), when="cuda_arch={0}".format(val))
depends_on("umpire cuda_arch={0}".format(val), when="cuda_arch={0}".format(val))
patch(
"https://github.com/eth-cscs/DLA-Future/pull/1063/commits/efc9c176a7a8c512b3f37d079dec8c25ac1b7389.patch?full_index=1",
sha256="7f382c872d89f22da1ad499e85ffe9881cc7404c8465e42877a210a09382e2ea",
when="@:0.3 %gcc@13:",
)
def cmake_args(self):
spec = self.spec
args = []
args.append(self.define_from_variant("BUILD_SHARED_LIBS", "shared"))
# BLAS/LAPACK
if self.spec["lapack"].name in INTEL_MATH_LIBRARIES:
vmap = {
"none": "seq",
"openmp": "omp",
"tbb": "tbb",
} # Map MKL variants to LAPACK target name
mkl_threads = vmap[spec["intel-mkl"].variants["threads"].value]
# TODO: Generalise for intel-oneapi-mkl
args += [
self.define("DLAF_WITH_MKL", True),
self.define("MKL_LAPACK_TARGET", f"mkl::mkl_intel_32bit_{mkl_threads}_dyn"),
]
if "+scalapack" in spec:
if (
"^mpich" in spec
or "^cray-mpich" in spec
or "^intel-mpi" in spec
or "^mvapich" in spec
or "^mvapich2" in spec
):
mkl_mpi = "mpich"
elif "^openmpi" in spec:
mkl_mpi = "ompi"
args.append(
self.define(
"MKL_SCALAPACK_TARGET",
f"mkl::scalapack_{mkl_mpi}_intel_32bit_{mkl_threads}_dyn",
)
)
else:
args.append(self.define("DLAF_WITH_MKL", False))
args.append(
self.define(
"LAPACK_LIBRARY",
" ".join([spec[dep].libs.ld_flags for dep in ["blas", "lapack"]]),
)
)
if "+scalapack" in spec:
args.append(self.define("SCALAPACK_LIBRARY", spec["scalapack"].libs.ld_flags))
args.append(self.define_from_variant("DLAF_WITH_SCALAPACK", "scalapack"))
# CUDA/HIP
args.append(self.define_from_variant("DLAF_WITH_CUDA", "cuda"))
args.append(self.define_from_variant("DLAF_WITH_HIP", "rocm"))
if "+rocm" in spec:
archs = self.spec.variants["amdgpu_target"].value
if "none" not in archs:
arch_str = ";".join(archs)
args.append(self.define("CMAKE_HIP_ARCHITECTURES", arch_str))
if "+cuda" in spec:
archs = self.spec.variants["cuda_arch"].value
if "none" not in archs:
arch_str = ";".join(archs)
args.append(self.define("CMAKE_CUDA_ARCHITECTURES", arch_str))
# HDF5 support
args.append(self.define_from_variant("DLAF_WITH_HDF5", "hdf5"))
# DOC
args.append(self.define_from_variant("DLAF_BUILD_DOC", "doc"))
# TEST
args.append(self.define("DLAF_BUILD_TESTING", self.run_tests))
# MINIAPPS
args.append(self.define_from_variant("DLAF_BUILD_MINIAPPS", "miniapps"))
return args
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