Video

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

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

Authored by admin Last updated on 02/02/2017 - 11:05
Video

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

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

Authored by admin Last updated on 02/02/2017 - 11:05
Video

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

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

Authored by admin Last updated on 02/02/2017 - 11:05
Video

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

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

Authored by admin Last updated on 02/02/2017 - 11:05
Video

Sparse Linear Algebra Functions in Intel® Math Kernel Library

Sparse matrix algorithms are encountered in a broad range of important scientific computing applications.

Authored by Zhang, Zhang Last updated on 02/02/2017 - 11:05
Article

Intel® MKL and Intel® IPP: Choosing a High Performance FFT

The purpose of this document is to help developers determine which FFT, Intel® MKL or Intel® IPP is best suited for their application.
Authored by Last updated on 01/26/2017 - 00:49
Article

Introduction to the Intel MKL Extended Eigensolver

Authored by Zhang, Zhang Last updated on 08/17/2016 - 14:16
Blog post

How Intel® AVX Improves Performance on Server Application

The latest Intel® Xeon® processor E7 v2 family includes a feature called Intel® Advanced Vector Extensions (Intel® AVX), which can potentially improve application performance.

Authored by Thai Le (Intel) Last updated on 08/15/2016 - 13:05
Video

Enhance Computing Matrix Multiplication Using Intel® Compiler and Intel® Math Kernel Library (MKL)

We optimized a version of a triply nested loop matrix multiplication on Linux* using the Intel® Math Kernel Library (MKL).

Authored by robert c. Last updated on 06/13/2016 - 16:52
Article

HPCWire Videos

Authored by admin Last updated on 04/27/2016 - 13:38
For more complete information about compiler optimizations, see our Optimization Notice.