FindBLAS

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.

Input Variables

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

New 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

New in version 3.25.

If set, the pkg-config method will look for this module name instead of just blas.

BLA_SIZEOF_INTEGER

New 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.

Imported targets

This module defines the following IMPORTED targets:

BLAS::BLAS

New in version 3.18.

The libraries to use for BLAS, if found.

Result Variables

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

BLAS/LAPACK Vendors

Generic

Generic reference implementation

ACML, ACML_MP, ACML_GPU

AMD Core Math Library

AOCL, AOCL_mt

New 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

New in version 3.18.

Arm Performance Libraries

ATLAS

Automatically Tuned Linear Algebra Software

CXML, DXML

Compaq/Digital Extended Math Library

EML, EML_mt

New in version 3.20.

Elbrus Math Library

FLAME

New in version 3.11.

BLIS Framework

FlexiBLAS

New in version 3.19.

Fujitsu_SSL2, Fujitsu_SSL2BLAMP, Fujitsu_SSL2SVE, Fujitsu_SSL2BLAMPSVE

New 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

New in version 3.13.

Intel MKL v10+ 64 bit, threaded code, ilp64 model

Intel10_64ilp_seq

New in version 3.13.

Intel MKL v10+ 64 bit, sequential code, ilp64 model

Intel10_64_dyn

New in version 3.17.

Intel MKL v10+ 64 bit, single dynamic library

libblastrampoline

New in version 3.30.

A BLAS/LAPACK demuxing library using PLT trampolines

NVHPC

New in version 3.21.

NVIDIA HPC SDK

OpenBLAS

New 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

Intel MKL

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:

Intel oneAPI

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

Intel Classic

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