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OpenMP* Loop Scheduling

Compiler Methodology for Intel® MIC Architecture

Authored by admin Last updated on 09/30/2019 - 17:28
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OpenMP Loop Collapse Directive

Compiler Methodology for Intel® MIC Architecture

Authored by admin Last updated on 09/30/2019 - 17:30
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OpenMP* Thread Affinity Control

Compiler Methodology for Intel® MIC Architecture

Authored by admin Last updated on 09/30/2019 - 17:28
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OpenMP Related Tips

Compiler Methodology for Intel® MIC Architec

Authored by AmandaS (Intel) Last updated on 09/30/2019 - 17:28
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GCC* 4.9 OpenMP* Code Cannot Be Linked with Intel® OpenMP Runtime

GCC* 4.9 was released on April 22, 2014.  This release now supports Version 4.0 of the

Authored by Kenneth Craft (Intel) Last updated on 07/12/2019 - 15:16
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

OpenMP* 4.0 Combined Offload Constructs Support for the Intel® Xeon Phi™ Coprocessor

The Intel® Parallel Studio XE 2015 Composer Editions for Windows* and Linux* have feature enhancements that provide near full support of the OpenMP* 4.0 API (July 2013) specification.

Authored by Last updated on 10/15/2019 - 15:30
File Wrapper

Parallel Universe Magazine - Issue 20, February 2015

Authored by admin Last updated on 12/12/2018 - 18:08
Article

OMP_PROC_BIND is Now Supported on Compatible Non-Intel Processors

The newest versions of the Intel® C++ and Fortran compilers now support OpenMP* environment variable OMP_PROC_BIND on compatible non-Intel processors for Linux* and Windows* platfo

Authored by Kenneth Craft (Intel) Last updated on 10/08/2019 - 18:20
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 09/30/2019 - 17:28