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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(
"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(
"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")
provides("blas")
@property
def component_dir(self):
return "mkl"
@property
def headers(self):
return find_headers("*", self.component_prefix.include)
@property
def libs(self):
shared = "+shared" in self.spec
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_run_environment(self, env):
super(IntelOneapiMkl, self).setup_run_environment(env)
# Support RPATH injection to the library directories when the '-mkl' or '-qmkl'
# flag of the Intel compilers are used outside the Spack build environment. We
# should not try to take care of other compilers because the users have to
# provide the linker flags anyway and are expected to take care of the RPATHs
# flags too. We prefer the __INTEL_POST_CFLAGS/__INTEL_POST_FFLAGS flags over
# the PRE ones so that any other RPATHs provided by the users on the command
# line come before and take precedence over the ones we inject here.
for d in self._find_mkl_libs("+shared" in self.spec).directories:
flag = "-Wl,-rpath,{0}".format(d)
env.append_path("__INTEL_POST_CFLAGS", flag, separator=" ")
env.append_path("__INTEL_POST_FFLAGS", flag, separator=" ")
def setup_dependent_build_environment(self, env, dependent_spec):
# Only if environment modifications are desired (default is +envmods)
if "+envmods" in self.spec:
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 "+cluster" in self.spec:
libs.extend([self._xlp64_lib("libmkl_scalapack"), "libmkl_cdft_core"])
libs.append(self._xlp64_lib("libmkl_intel"))
if "threads=tbb" in self.spec:
libs.append("libmkl_tbb_thread")
elif "threads=openmp" in self.spec:
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 "+cluster" in self.spec:
libs.append(self._xlp64_lib("libmkl_blacs_intelmpi"))
lib_path = 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)
if "+cluster" in self.spec:
resolved_libs = resolved_libs + self.spec["mpi"].libs
return resolved_libs
def _xlp64_lib(self, lib):
return lib + ("_ilp64" if "+ilp64" in self.spec else "_lp64")
@run_after("install")
def fixup_prefix(self):
self.symlink_dir(self.component_prefix.include, self.prefix.include)
self.symlink_dir(self.component_prefix.lib, self.prefix.lib)
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