Article

Introduction to the Intel MKL Extended Eigensolver

Authored by Zhang, Zhang (Intel) Last updated on 06/07/2017 - 12:18
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 06/14/2017 - 08:50
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 06/14/2017 - 08:53
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 06/14/2017 - 08:47
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 06/14/2017 - 08:50
Article

HPCWire Videos

Authored by admin Last updated on 06/07/2017 - 10:40
Article

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

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

Authored by Martyn Corden (Intel) Last updated on 06/07/2017 - 10:20
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 06/14/2017 - 16:24
Article

Intel® Atom™ processors support in Intel® Math Kernel Library

Intel® Math Kernel Library (Intel® MKL) 11.2 includes support for the latest 32-bit and 64-bit Intel® Atom™ processors.

Authored by Chao Y (Intel) Last updated on 06/07/2017 - 09:19
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 06/14/2017 - 08:44
For more complete information about compiler optimizations, see our Optimization Notice.