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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 os.path import dirname, isdir
from spack.package import *
@IntelOneApiPackage.update_description
class IntelOneapiMkl(IntelOneApiLibraryPackage):
"""Intel oneAPI Math Kernel Library (Intel oneMKL; formerly Intel Math
Kernel Library or Intel MKL), is a library of optimized math
routines for science, engineering, and financial
applications. Core math functions include BLAS, LAPACK,
ScaLAPACK, sparse solvers, fast Fourier transforms, and vector
math.
"""
maintainers("rscohn2")
homepage = (
"https://software.intel.com/content/www/us/en/develop/tools/oneapi/components/onemkl.html"
)
version(
"2024.0.0",
url="https://registrationcenter-download.intel.com/akdlm//IRC_NAS/86d6a4c1-c998-4c6b-9fff-ca004e9f7455/l_onemkl_p_2024.0.0.49673_offline.sh",
sha256="2a3be7d01d75ba8cc3059f9a32ae72e5bfc93e68e72e94e79d7fa6ea2f7814de",
expand=False,
)
version(
"2023.2.0",
url="https://registrationcenter-download.intel.com/akdlm/IRC_NAS/adb8a02c-4ee7-4882-97d6-a524150da358/l_onemkl_p_2023.2.0.49497_offline.sh",
sha256="4a0d93da85a94d92e0ad35dc0fc3b3ab7f040bd55ad374c4d5ec81a57a2b872b",
expand=False,
)
version(
"2023.1.0",
url="https://registrationcenter-download.intel.com/akdlm/IRC_NAS/cd17b7fe-500e-4305-a89b-bd5b42bfd9f8/l_onemkl_p_2023.1.0.46342_offline.sh",
sha256="cc28c94cab23c185520b93c5a04f3979d8da6b4c90cee8c0681dd89819d76167",
expand=False,
)
version(
"2023.0.0",
url="https://registrationcenter-download.intel.com/akdlm/irc_nas/19138/l_onemkl_p_2023.0.0.25398_offline.sh",
sha256="0d61188e91a57bdb575782eb47a05ae99ea8eebefee6b2dfe20c6708e16e9927",
expand=False,
)
version(
"2022.2.1",
url="https://registrationcenter-download.intel.com/akdlm/irc_nas/19038/l_onemkl_p_2022.2.1.16993_offline.sh",
sha256="eedd4b795720de776b1fc5f542ae0fac37ec235cdb567f7c2ee3182e73e3e59d",
expand=False,
)
version(
"2022.2.0",
url="https://registrationcenter-download.intel.com/akdlm/irc_nas/18898/l_onemkl_p_2022.2.0.8748_offline.sh",
sha256="07d7caedd4b9f025c6fd439a0d2c2f279b18ecbbb63cadb864f6c63c1ed942db",
expand=False,
)
version(
"2022.1.0",
url="https://registrationcenter-download.intel.com/akdlm/irc_nas/18721/l_onemkl_p_2022.1.0.223_offline.sh",
sha256="4b325a3c4c56e52f4ce6c8fbb55d7684adc16425000afc860464c0f29ea4563e",
expand=False,
)
version(
"2022.0.2",
url="https://registrationcenter-download.intel.com/akdlm/irc_nas/18483/l_onemkl_p_2022.0.2.136_offline.sh",
sha256="134b748825a474acc862bb4a7fada99741a15b7627cfaa6ba0fb05ec0b902b5e",
expand=False,
)
version(
"2022.0.1",
url="https://registrationcenter-download.intel.com/akdlm/irc_nas/18444/l_onemkl_p_2022.0.1.117_offline.sh",
sha256="22afafbe2f3762eca052ac21ec40b845ff2f3646077295c88c2f37f80a0cc160",
expand=False,
)
version(
"2021.4.0",
url="https://registrationcenter-download.intel.com/akdlm/irc_nas/18222/l_onemkl_p_2021.4.0.640_offline.sh",
sha256="9ad546f05a421b4f439e8557fd0f2d83d5e299b0d9bd84bdd86be6feba0c3915",
expand=False,
)
version(
"2021.3.0",
url="https://registrationcenter-download.intel.com/akdlm/irc_nas/17901/l_onemkl_p_2021.3.0.520_offline.sh",
sha256="a06e1cdbfd8becc63440b473b153659885f25a6e3c4dcb2907ad9cd0c3ad59ce",
expand=False,
)
version(
"2021.2.0",
url="https://registrationcenter-download.intel.com/akdlm/irc_nas/17757/l_onemkl_p_2021.2.0.296_offline.sh",
sha256="816e9df26ff331d6c0751b86ed5f7d243f9f172e76f14e83b32bf4d1d619dbae",
expand=False,
)
version(
"2021.1.1",
url="https://registrationcenter-download.intel.com/akdlm/irc_nas/17402/l_onemkl_p_2021.1.1.52_offline.sh",
sha256="818b6bd9a6c116f4578cda3151da0612ec9c3ce8b2c8a64730d625ce5b13cc0c",
expand=False,
)
variant("shared", default=True, description="Builds shared library")
variant("ilp64", default=False, description="Build with ILP64 support")
variant(
"cluster", default=False, description="Build with cluster support: scalapack, blacs, etc"
)
variant(
"mpi_family",
default="none",
values=("none", "mpich", "openmpi"),
description="MPI family",
multi=False,
)
variant(
"threads",
default="none",
description="Multithreading support",
values=("openmp", "tbb", "none"),
multi=False,
)
depends_on("tbb")
# cluster libraries need mpi
depends_on("mpi", when="+cluster")
provides("fftw-api@3")
provides("scalapack", when="+cluster")
provides("mkl")
provides("lapack", "blas")
@property
def v2_layout_versions(self):
return "@2024:"
@property
def component_dir(self):
return "mkl"
@property
def libs(self):
shared = self.spec.satisfies("+shared")
libs = self._find_mkl_libs(shared)
system_libs = find_system_libraries(["libpthread", "libm", "libdl"])
if shared:
return libs + system_libs
else:
return IntelOneApiStaticLibraryList(libs, system_libs)
def setup_dependent_build_environment(self, env, dependent_spec):
# Only if environment modifications are desired (default is +envmods)
if self.spec.satisfies("+envmods"):
env.set("MKLROOT", self.component_prefix)
env.append_path("PKG_CONFIG_PATH", self.component_prefix.lib.pkgconfig)
def _find_mkl_libs(self, shared):
libs = []
if self.spec.satisfies("+cluster"):
libs.extend([self._xlp64_lib("libmkl_scalapack"), "libmkl_cdft_core"])
libs.append(self._xlp64_lib("libmkl_intel"))
if self.spec.satisfies("threads=tbb"):
libs.append("libmkl_tbb_thread")
elif self.spec.satisfies("threads=openmp"):
if self.spec.satisfies("%oneapi") or self.spec.satisfies("%intel"):
libs.append("libmkl_intel_thread")
else:
libs.append("libmkl_gnu_thread")
else:
libs.append("libmkl_sequential")
libs.append("libmkl_core")
if self.spec.satisfies("+cluster"):
if any(
self.spec.satisfies(m)
for m in [
"^intel-oneapi-mpi",
"^intel-mpi",
"^mpich",
"^cray-mpich",
"mpi_family=mpich",
]
):
libs.append(self._xlp64_lib("libmkl_blacs_intelmpi"))
elif any(
self.spec.satisfies(m) for m in ["^openmpi", "^hpcx-mpi", "mpi_family=openmpi"]
):
libs.append(self._xlp64_lib("libmkl_blacs_openmpi"))
else:
raise RuntimeError(
(
"intel-oneapi-mkl +cluster requires one of ^intel-oneapi-mpi, "
"^intel-mpi, ^mpich, ^cray-mpich, mpi_family=mpich, ^openmpi, "
"^hpcx-mpi, or mpi_family=openmpi"
)
)
lib_path = (
self.component_prefix.lib if self.v2_layout else self.component_prefix.lib.intel64
)
lib_path = lib_path if isdir(lib_path) else dirname(lib_path)
resolved_libs = find_libraries(libs, lib_path, shared=shared)
# Add MPI libraries for cluster support. If MPI is not in the
# spec, then MKL is externally installed and application must
# link with MPI libaries. If MPI is in spec, but there are no
# libraries, then the package (e.g. hpcx-mpi) relies on the
# compiler wrapper to add the libraries.
try:
if self.spec.satisfies("+cluster ^mpi"):
resolved_libs = resolved_libs + self.spec["mpi"].libs
except spack.error.NoLibrariesError:
pass
return resolved_libs
def _xlp64_lib(self, lib):
return lib + ("_ilp64" if self.spec.satisfies("+ilp64") else "_lp64")
@run_after("install")
def fixup_prefix(self):
# The motivation was to provide a more standard layout so mkl
# would be more likely to work as a virtual dependence. I am
# not sure if this mechanism is useful and it became a problem
# for mpi so disabling for v2_layout.
if self.v2_layout:
return
self.symlink_dir(self.component_prefix.include, self.prefix.include)
self.symlink_dir(self.component_prefix.lib, self.prefix.lib)
|
