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Using Intel® MKL in GROMACS

This application note will explains how to use Intel MKL with GROMACS
Authored by Last updated on 03/25/2019 - 09:50
Article

Using Intel® MKL in GNU Octave

This application note will describe how to use Intel MKL with Octave.
Authored by Last updated on 03/27/2019 - 12:20
Article

How to Resolve ARPACK issues with Intel MKL 11.0 Update 3

Some ARPACK users have reported stability issues after upgrading to the Intel® Math Kernel Library (Intel® MKL

Authored by Zhang, Zhang (Intel) Last updated on 06/07/2017 - 10:25
Article

Best Known Method: Avoid heterogeneous precision in control flow calculations

Best Known Method
Authored by Last updated on 03/21/2019 - 12:00
Article

-mkl=cluster requires Intel(R) Cluster Studio

Product versions:

Authored by Last updated on 06/07/2017 - 10:25
Article

Coding for Performance: Data alignment and structures

This article collects the general knowledge and Best-Known-Methods (BKMs) for aligning of data within structures in order to achieve optimal performance. 

Authored by Sumedh N. (Intel) Last updated on 06/07/2017 - 09:07
Article

Intel® Compilers for Linux: Compatibility with GNU Compilers

This paper describes compatibility between the Intel® Compilers for Linux* and the GNU* compilers in terms of source, binary and command-line compatibility. The Intel® C/C++ and Fortran Compilers help make your software run at top speed on Intel's platforms, including those based on IA-32, Intel® 64 and Intel® Xeon Phi architecture. The compilers also provide compatibility with commonly used...
Authored by Last updated on 06/07/2017 - 09:49
Article

Diagnostic 15319: loop was not vectorized: novector directive used

Product Version:  Intel® Fortran Compiler 15.0 and above

Authored by Devorah H. (Intel) Last updated on 05/25/2018 - 15:30
Article

Diagnostic 15414: Loop was not vectorized: loop body became empty after optimizations

Product Version: Intel® Fortran Compiler 15.0 and above

Authored by Devorah H. (Intel) Last updated on 12/28/2018 - 12:29
Article

Diagnostic 15521: loop was not vectorized: explicitly compute the iteration count before executing the loop.

Product Version: Intel® Fortran Compiler 15.0 and above

Authored by Devorah H. (Intel) Last updated on 05/30/2018 - 07:40