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# Copyright 2013-2023 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"]
version("0.1.0", sha256="f7ffcde22edabb3dc24a624e2888f98829ee526da384cd752b2b271c731ca9b1")
version("master", branch="master")
variant("shared", default=True, description="Build shared libraries.")
variant("doc", default=False, description="Build documentation.")
variant("miniapps", default=False, description="Build miniapps.")
depends_on("cmake@3.22:", type="build")
depends_on("doxygen", type="build", when="+doc")
depends_on("mpi")
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:")
depends_on("pika-algorithms@0.1:")
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")
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))
def cmake_args(self):
spec = self.spec
args = []
args.append(self.define_from_variant("BUILD_SHARED_LIBS", "shared"))
# BLAS/LAPACK
if "^mkl" in spec:
vmap = {
"none": "seq",
"openmp": "omp",
"tbb": "tbb",
} # Map MKL variants to LAPACK target name
# TODO: Generalise for intel-oneapi-mkl
args += [
self.define("DLAF_WITH_MKL", True),
self.define(
"MKL_LAPACK_TARGET",
"mkl::mkl_intel_32bit_{0}_dyn".format(
vmap[spec["intel-mkl"].variants["threads"].value]
),
),
]
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"]]),
)
)
# 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))
# 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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