Developer Reference for Intel® oneAPI Math Kernel Library for Fortran

ID 766686
Date 12/16/2022
Public

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Developer Reference for Intel® oneAPI Math Kernel Library - Fortran

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 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 older versions of Intel® Math Kernel Library is available for download only. For a list of available documentation downloads by product version, see these pages:

What's New

C interface: Developer Reference for Intel® oneAPI Math Kernel Library - C

This publication describes the Fortran interface.

Basic Linear Algebra Subprograms (BLAS)

The BLAS routines provide vector, matrix-vector, and matrix-matrix operations.

Sparse BLAS

The Sparse BLAS routines provide basic operations on sparse vectors and matrices.

Sparse QR

The Sparse QR Routines provide a multifrontal sparse QR factorization method for solving a sparse system of linear equations.

LAPACK

The LAPACK routines solve systems of linear equations, least square problems, eigenvalue and singular value problems, and Sylvester's equations.

Statistical Functions

The Statistical Functions provides a set of routines implementing commonly used pseudorandom random number generators (RNG) with continuous distribution.

Direct and Iterative Sparse Solvers

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.

Vector Mathematics Functions

The Vector Mathematics (VM) functions compute core mathematical functions on vector arguments.

Vector Statistics Functions

The Vector Statistics (VS) functions generate vectors of pseudorandom numbers with different types of statistical distributions and perform convolution and correlation computations.

Fourier Transform Functions

The Fourier Transform Functions offer several options for computing Fast Fourier Transforms (FFTs).

Product and Performance Information

Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex.

Notice revision #20201201