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Automatic Parallelization with Intel® Compilers

With automatic parallelization, the compiler detects loops that can be safely and efficiently executed in parallel and generates multithreaded code.
Authored by admin Last updated on 07/04/2019 - 21:33
Article

OpenMP* and the Intel® IPP Library

How to configure OpenMP in the Intel IPP library to maximize multi-threaded performance of the Intel IPP primitives.
Authored by Last updated on 07/31/2019 - 14:30
Article

internal error: 0_1204 when openmp used with try-catch

internal error: 0_1204 when openmp used with exception handling
Authored by Last updated on 03/09/2019 - 12:30
Article

Don't Use the OpenMP* THREADPRIVATE 'Compatibility' Option when Everything is Compiled by Intel

The Intel C++ and Fortran compilers for Windows* and Linux* provide 'legacy' and 'compatibility' implementations of the OpenMP THREADPRIVATE directive. The 'compatibility' option should not be used when everything is compiled by Intel compilers.
Authored by Kenneth Craft (Intel) Last updated on 07/08/2019 - 15:12
Article

Intel® C++ and Fortran Compilers now support the OpenMP* 3.1 Specification

The newest releases of the Intel® C++ and Fortran Compilers support new features in the OpenMP* 3.1 Specification
Authored by Kenneth Craft (Intel) Last updated on 05/25/2018 - 15:48
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 loop does not parallelize with continue statement in the catch block

The compiler does not parallelize OpenMP loops that contain a "continue" statement in a C++ catch block inside the parallel region.
Authored by Last updated on 05/25/2018 - 15:30
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

Programming and Compiling for Intel® Many Integrated Core Architecture

This article discussions parallelization and provides links that will help you understand your programming environment and evaluate the suitability of your app.
Authored by AmandaS (Intel) Last updated on 03/26/2019 - 10:07
Article

Efficient Parallelization

This article is part of the Intel® Modern Code Developer Community documentation which supports developers in leveraging application performance in code through a systematic step-by-step optimization framework methodology. This article addresses: Thread level parallelization.
Authored by Ronald W Green (Blackbelt) Last updated on 03/21/2019 - 12:00