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Visible to Intel only — GUID: GUID-0191F247-778C-4C69-B54F-ABF951506FCD
The Intel® oneAPI Math Kernel Library (oneMKL) improves performance with math routines for software applications that solve large computational problems. oneMKL provides BLAS and LAPACK linear algebra routines, fast Fourier transforms, vectorized math functions, random number generation functions, and other functionality.
For detailed information on setting up and using Intel® oneAPI Math Kernel Library (oneMKL), refer to the Developer Guide for Linux and the Developer Guide for Windows.
For more documentation on this and other products, visit the oneAPI Documentation Library.
Intel® Math Kernel Library is now Intel® oneAPI Math Kernel Library (oneMKL).
Documentation for versions of Intel® Math Kernel Library older than 2023.0 is available for download only. See Downloadable Documentation.
This publication describes the Fortran interface.
The BLAS routines provide vector, matrix-vector, and matrix-matrix operations.
The Sparse BLAS routines provide basic operations on sparse vectors and matrices.
The Sparse QR Routines provide a multifrontal sparse QR factorization method for solving a sparse system of linear equations.
The LAPACK routines solve systems of linear equations, least square problems, eigenvalue and singular value problems, and Sylvester's equations.
The Statistical Functions provides a set of routines implementing commonly used pseudorandom random number generators (RNG) with continuous distribution.
Among several options for solving sparse linear systems of equations, oneMKL offers a direct sparse solver based on PARDISO*, which is referred to here as Intel MKL PARDISO.
The Vector Mathematics (VM) functions compute core mathematical functions on vector arguments.
The Vector Statistics (VS) functions generate vectors of pseudorandom numbers with different types of statistical distributions and perform convolution and correlation computations.
The Fourier Transform Functions offer several options for computing Fast Fourier Transforms (FFTs).
Product and Performance Information |
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Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex. Notice revision #20201201 |