Find Basic Linear Algebra Subprograms (BLAS) library
This module finds an installed Fortran library that implements the BLAS linear-algebra interface.
At least one of the C, CXX, or Fortran languages must be enabled.
The following variables may be set to influence this module's behavior:
BLA_STATIC if ON use static linkage
BLA_VENDOR Set to one of the BLAS/LAPACK Vendors to search for BLAS only from the specified vendor. If not set, all vendors are considered.
BLA_F95 if ON tries to find the BLAS95 interfaces
BLA_PREFER_PKGCONFIG Added in version 3.11.
if set pkg-config will be used to search for a BLAS library first and if one is found that is preferred
BLA_PKGCONFIG_BLAS Added in version 3.25.
If set, the pkg-config method will look for this module name instead of just blas.
BLA_SIZEOF_INTEGER Added in version 3.22.
Specify the BLAS/LAPACK library integer size:
4 Search for a BLAS/LAPACK with 32-bit integer interfaces.
8 Search for a BLAS/LAPACK with 64-bit integer interfaces.
ANY Search for any BLAS/LAPACK. Most likely, a BLAS/LAPACK with 32-bit integer interfaces will be found.
This module defines the following IMPORTED targets:
BLAS::BLAS Added in version 3.18.
The libraries to use for BLAS, if found.
This module defines the following variables:
BLAS_FOUND library implementing the BLAS interface is found
BLAS_LINKER_FLAGS uncached list of required linker flags (excluding -l and -L).
BLAS_LIBRARIES uncached list of libraries (using full path name) to link against to use BLAS (may be empty if compiler implicitly links BLAS)
BLAS95_LIBRARIES uncached list of libraries (using full path name) to link against to use BLAS95 interface
BLAS95_FOUND library implementing the BLAS95 interface is found
Generic Generic reference implementation
ACML, ACML_MP, ACML_GPU AMD Core Math Library
AOCL, AOCL_mt Added in version 3.27.
AMD Optimizing CPU Libraries
Apple, NAS Apple BLAS (Accelerate), and Apple NAS (vecLib)
Arm, Arm_mp, Arm_ilp64, Arm_ilp64_mp Added in version 3.18.
Arm Performance Libraries
ATLAS Automatically Tuned Linear Algebra Software
CXML, DXML Compaq/Digital Extended Math Library
EML, EML_mt Added in version 3.20.
Elbrus Math Library
FLAME Added in version 3.11.
BLIS Framework
FlexiBLAS Added in version 3.19.
Fujitsu_SSL2, Fujitsu_SSL2BLAMP, Fujitsu_SSL2SVE, Fujitsu_SSL2BLAMPSVE Added in version 3.20.
Fujitsu SSL2 serial and parallel blas/lapack with SVE instructions
Goto GotoBLAS
IBMESSL, IBMESSL_SMP
IBM Engineering and Scientific Subroutine Library
Intel Intel MKL 32 bit and 64 bit obsolete versions
Intel10_32 Intel MKL v10 32 bit, threaded code
Intel10_64lp Intel MKL v10+ 64 bit, threaded code, lp64 model
Intel10_64lp_seq Intel MKL v10+ 64 bit, sequential code, lp64 model
Intel10_64ilp Added in version 3.13.
Intel MKL v10+ 64 bit, threaded code, ilp64 model
Intel10_64ilp_seq Added in version 3.13.
Intel MKL v10+ 64 bit, sequential code, ilp64 model
Intel10_64_dyn Added in version 3.17.
Intel MKL v10+ 64 bit, single dynamic library
libblastrampoline Added in version 3.30.
A BLAS/LAPACK demuxing library using PLT trampolines
NVHPC Added in version 3.21.
NVIDIA HPC SDK
OpenBLAS Added in version 3.6.
PhiPACK Portable High Performance ANSI C (PHiPAC)
SCSL, SCSL_mp Scientific Computing Software Library
SGIMATH SGI Scientific Mathematical Library
SunPerf Sun Performance Library
To use the Intel MKL implementation of BLAS, a project must enable at least one of the C or CXX languages. Set BLA_VENDOR to an Intel MKL variant either on the command-line as -DBLA_VENDOR=Intel10_64lp or in project code:
set(BLA_VENDOR Intel10_64lp) find_package(BLAS)
In order to build a project using Intel MKL, and end user must first establish an Intel MKL environment:
Source the full Intel environment script:
. /opt/intel/oneapi/setvars.sh
Or, source the MKL component environment script:
. /opt/intel/oneapi/mkl/latest/env/vars.sh
Source the full Intel environment script:
. /opt/intel/bin/compilervars.sh intel64
Or, source the MKL component environment script:
. /opt/intel/mkl/bin/mklvars.sh intel64
The above environment scripts set the MKLROOT environment variable to the top of the MKL installation. They also add the location of the runtime libraries to the dynamic library loader environment variable for your platform (e.g. LD_LIBRARY_PATH). This is necessary for programs linked against MKL to run.
Note
As of Intel oneAPI 2021.2, loading only the MKL component does not make all of its dependencies available. In particular, the iomp5 library must be available separately, or provided by also loading the compiler component environment:
. /opt/intel/oneapi/compiler/latest/env/vars.sh
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Licensed under the BSD 3-clause License.
https://cmake.org/cmake/help/v3.31/module/FindBLAS.html