Introduction to the Intel MKL Extended Eigensolver

Authored by Zhang Z (Intel)

Last updated on 09/06/2013 - 18:26

Part 1 of 4 - Get Ready for Intel® Math Kernel Library on Intel® Xeon Phi™ Coprocessor

Authored by admin

Useful links: How-to articles, tips, case studies, hands-on lab: http://software.intel.com/en-us/arti

Last updated on 09/06/2013 - 18:26

Part 2 of 4 - Get Ready for Intel® Math Kernel Library on Intel® Xeon Phi™ Coprocessor

Authored by admin

Useful links: How-to articles, tips, case studies, hands-on lab: http://software.intel.com/en-us/arti

Last updated on 09/06/2013 - 18:26

Part 3 of 4 - Get Ready for Intel® Math Kernel Library on Intel® Xeon Phi™ Coprocessor

Authored by admin

Useful links: How-to articles, tips, case studies, hands-on lab: http://software.intel.com/en-us/arti

Last updated on 09/06/2013 - 18:26

Part 4 of 4 - Get Ready for Intel® Math Kernel Library on Intel® Xeon Phi™ Coprocessor

Authored by admin

Useful links: How-to articles, tips, case studies, hands-on lab: http://software.intel.com/en-us/arti

Last updated on 09/06/2013 - 18:26

Part 5 of 12 - Faster math performance with Intel® Math Kernel Library

Authored by Abby Wang (Intel)

The Intel® Math Kernel Library (Intel® MKL) provides many optimized math routines including BLAS routines, LAPACK, FFT and sparse solvers.

Last updated on 10/08/2013 - 11:49

Part 6 of 12 - Automatic offload with Intel® Math Kernel Library

Authored by Abby Wang (Intel)

The fastest way to performance is to use highly optimized libraries such as Intel® Math Kernel Library (Intel® MKL).

Last updated on 10/08/2013 - 11:59

HPCWire Videos

Authored by admin
Last updated on 05/07/2014 - 12:24

Static linking with -mkl, -ipp or -tbb may give unresolved references

Authored by Martyn Corden (Intel)

Reference Number : dpd200252274Version : Intel® C++ Compiler and Intel® Fortran Compiler versions 13.0.1, 13.1.any, 14.0.0 and 14.0.1

Last updated on 02/21/2014 - 11:51

Get Started with Intel® Math Kernel Library for Wind River* Linux*

Authored by Ying H (Intel)
This document will help developers get started building and running applications based on Intel® MKL for an target embedded system running Wind River* Linux* Last updated on 03/20/2014 - 20:07