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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 Cosma(CMakePackage):
"""
Distributed Communication-Optimal Matrix-Matrix Multiplication Library
"""
maintainers("haampie", "kabicm", "teonnik", "simonpintarelli", "mtaillefumier")
homepage = "https://github.com/eth-cscs/COSMA"
url = "https://github.com/eth-cscs/COSMA/archive/refs/tags/v2.6.6.tar.gz"
git = "https://github.com/eth-cscs/COSMA.git"
license("BSD-3-Clause")
# note: The default archives produced with github do not have the archives
# of the submodules.
version("master", branch="master", submodules=False)
version("2.6.6", sha256="1604be101e77192fbcc5551236bc87888d336e402f5409bbdd9dea900401cc37")
version("2.6.5", sha256="10d9b7ecc1ce44ec5b9e0c0bf89278a63029912ec3ea99661be8576b553ececf")
version("2.6.4", sha256="6d7bd5e3005874af9542a329c93e7ccd29ca1a5573dae27618fac2704fa2b6ab")
version("2.6.3", sha256="8ca96ca41458f1e9d0da70d524c5a03c677dba7238d23a578f852163b6d45ac9")
version("2.6.2", sha256="2debb5123cc35aeebc5fd2f8a46cfd6356d1e27618c9bb57129ecd09aa400940")
version("2.6.1", sha256="69aa6634a030674f0d9be61e7b0bf0dc17acf0fc9e7a90b40e3179e2254c8d67")
version("2.5.1", sha256="085b7787597374244bbb1eb89bc69bf58c35f6c85be805e881e1c0b25166c3ce")
version("2.5.0", sha256="7f68bb0ee5c80f9b8df858afcbd017ad4ed87ac09439d13d7d890844dbdd3d54")
version("2.4.0", sha256="5714315ce06d48037f86cfee2d7f19340643fee95e9d7f1e92dc1b623b67e395")
version("2.3.0", sha256="0c01c2deb5a0cd177952178350188a62c42ce55e604d7948ac472f55bf0d4815")
version("2.2.0", sha256="1eb92a98110df595070a12193b9221eecf9d103ced8836c960f6c79a2bd553ca")
version("2.0.7", sha256="8d70bfcbda6239b6a8fbeaca138790bbe58c0c3aa576879480d2632d4936cf7e")
version("2.0.2", sha256="4f3354828bc718f3eef2f0098c3bdca3499297497a220da32db1acd57920c68d")
# We just need the libraries of cuda and rocm, so no need to extend
# CudaPackage or ROCmPackage.
variant("cuda", default=False, description="Build with cuBLAS support")
variant("rocm", default=False, description="Build with rocBLAS support")
variant("scalapack", default=False, description="Build with ScaLAPACK API")
variant("shared", default=False, description="Build the shared library version")
variant("tests", default=False, description="Build tests")
variant("apps", default=False, description="Build miniapp")
variant("profiling", default=False, description="Enable profiling")
variant("gpu_direct", default=False, description="GPU aware MPI")
with when("+cuda"):
variant("nccl", default=False, description="Use cuda nccl")
with when("+rocm"):
variant("rccl", default=False, description="Use rocm rccl")
depends_on("cmake@3.22:", type="build")
depends_on("mpi@3:")
depends_on("blas", when="~cuda ~rocm")
depends_on("scalapack", when="+scalapack")
depends_on("cuda", when="+cuda")
depends_on("rocblas", when="+rocm")
with when("@2.6.3:"):
depends_on("tiled-mm@2.2:+cuda", when="+cuda")
depends_on("tiled-mm@2.2:+rocm", when="+rocm")
with when("@2.6.1:2.6.2"):
depends_on("tiled-mm@2.0+rocm", when="+rocm")
depends_on("tiled-mm@2.0+cuda", when="+cuda")
with when("@2.6.1:"):
depends_on("costa")
depends_on("costa+scalapack", when="+scalapack")
depends_on("cxxopts", when="+apps")
depends_on("cxxopts", when="+tests")
depends_on("semiprof", when="+profiling")
depends_on("costa+profiling", when="+profiling")
def setup_build_environment(self, env):
if "+cuda" in self.spec:
env.set("CUDA_PATH", self.spec["cuda"].prefix)
def cosma_blas_cmake_arg(self):
query_to_cmake_arg = [
("+cuda", "CUDA"),
("+rocm", "ROCM"),
("^intel-mkl", "MKL"),
("^intel-oneapi-mkl", "MKL"),
("^cray-libsci", "CRAY_LIBSCI"),
("^netlib-lapack", "CUSTOM"),
("^openblas", "OPENBLAS"),
]
if self.version >= Version("2.4.0"):
query_to_cmake_arg.extend(
[("^blis", "BLIS"), ("^amdblis", "BLIS"), ("^atlas", "ATLAS")]
)
for query, cmake_arg in query_to_cmake_arg:
if query in self.spec:
return cmake_arg
return "CUSTOM"
def cosma_scalapack_cmake_arg(self):
spec = self.spec
if "~scalapack" in spec:
return "OFF"
elif "^intel-mkl" in spec or "^intel-oneapi-mkl" in spec:
return "MKL"
elif "^cray-libsci" in spec:
return "CRAY_LIBSCI"
return "CUSTOM"
def cmake_args(self):
return [
self.define_from_variant("COSMA_WITH_TESTS", "tests"),
self.define_from_variant("COSMA_WITH_APPS", "apps"),
self.define_from_variant("COSMA_WITH_NCCL", "nccl"),
self.define_from_variant("COSMA_WITH_RCCL", "rccl"),
self.define_from_variant("COSMA_WITH_GPU_AWARE_MPI", "gpu_direct"),
self.define_from_variant("COSMA_WITH_PROFILING", "profiling"),
self.define("COSMA_WITH_BENCHMARKS", False),
self.define("COSMA_BLAS", self.cosma_blas_cmake_arg()),
self.define("COSMA_SCALAPACK", self.cosma_scalapack_cmake_arg()),
self.define_from_variant("BUILD_SHARED_LIBS", "shared"),
]
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