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Using Intel® MKL with Threaded Applications

Intel MKL is threaded in a number of places: LAPACK (*GETRF, *POTRF, *GBTRF routines), BLAS, DFTs, and FFTs. Intel MKL uses OpenMP* and TBB based threading software. There are situations in which conflicts can exist that make the use of threads in Intel MKL problematic.
Authored by admin Last updated on 06/01/2017 - 11:18
Article

Intel® MKL 10.x threading

Intel MKL threading
Authored by Chao Y (Intel) Last updated on 03/27/2019 - 12:20
Article

Performance hints for WRF on Intel® architecture

This note explains how to configure the Weather Research & Forecasting (WRF) run-time environment in order to achieve best performance and scalability on Intel® architecture with Intel® software tools.
Authored by Roman Dubtsov (Intel) Last updated on 06/14/2017 - 13:03
Article

Recommended Settings for Calling Intel® Math Kernel Library Routines from Multi-Threaded Applications

Recommended settings for calling Intel MKL routines from multi-threaded1 applications
Authored by Konstantin Arturov (Intel) Last updated on 04/12/2019 - 11:55
Article

Finding Non-trivial Opportunities for Parallelism in Existing Serial Code using OpenMP*

By Erik Niemeyer (Intel Corporation) and Ken Strandberg (Catlow Communications*)

Authored by Erik Niemeyer (Intel) Last updated on 07/06/2019 - 16:49
Article

Configuring Intel® MKL in Microsoft* Visual Studio*

Intel MKL in Microsoft Visual Studio
Authored by Last updated on 07/03/2019 - 20:00
Article

OpenMP static library removal in Intel® MKL on Microsoft Windows*

The OpenMP static runtime library will no longer be included in Intel MKL releases. Users should start linking the OpenMP library dynamically.
Authored by admin Last updated on 03/27/2019 - 12:20
Article

Intel® MKL Sparse BLAS Overview

Sparse BLAS routines can be useful to implement iterative methods for solving large sparse systems of equations or eigenvalue problems
Authored by Last updated on 07/03/2019 - 20:00
Article

MKL VSL example for grouppooledcovariance (vsldgrouppooledcovariance.f) failed with PGI threading layer.

Problem Description:

Grouppooledcovariance example crashs with segmentation fault with PGI threading layer on all platforms due to error in PGI support of OpenMP order clause.

Authored by Gennady F. (Blackbelt) Last updated on 03/27/2019 - 10:00
Article

Setting number_of_user_threads for Intel® Math Kernel Library FFTW3 wrappers

Consider the case when you

Authored by Last updated on 05/25/2018 - 11:08