Intel® Math Kernel Library Knowledge Base

In the future release of Intel® MKL, some of the Operating Systems and Compiler support will be dropped in Intel® MKL 11.0

PGI F77

This guide is intended to help current NumPy users to take advantage of Intel® Math Kernel Library (Intel® MKL).

Intel® MKL 10.3 update 8 introduces Data Fitting Component. Data Fitting functions in Intel® MKL provide spline-based interpolation capabilities that can be used for spline construction (Linear, Cubic ...

The Intel® Math Kernel Library (Intel® MKL) contains a large collection of functions that can benefit math-intensive applications.

Release Notes for Intel MKL 10.3

This article show how to build CP2K for Intel64 platform, using Intel® Fortran Compiler Professional Edition version 11.0 / 11.1 or Intel® Fortran Composer XE 2011, and Intel® Math Kernel Library (MKL) with FFTW 3.x support

This document contains instructions for linking to Intel MKL BLAS and LAPACK functions when building the PETSc libraries.

This application note will explains how to use Intel MKL with GROMACS

This article will describe about Creating, Configuring, and Running Intel® Visual FORTRAN projects in Microsoft* Visual Studio* to build Intel® MKL application

This guide is intended to help current HPCC users get better benchmark performance by utilizing Intel® Math Kernel Library (Intel® MKL).

Renewed F90 interfaces for DSS and PARDISO are available in Intel® MKL 10.3.1 and 10.2.7

The Intel MKL ILP64 libraries use the 64-bit integer type (necessary for indexing huge arrays, with more than 231-1 elements), whereas the LP64 libraries index arrays with the 32-bit integer type.