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.
Autor Kenneth Craft (Intel) Última actualización 08/07/2019 - 15:12
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Fun with Intel® Transactional Synchronization Extensions

By now, many of you have heard of Intel® Transactional Synchronization Extensions (Intel® TSX).

Autor Última actualización 04/07/2019 - 17:00
Article

Diagnostic 15527: loop was not vectorized: function call to xxx cannot be vectorized

Product Version: Intel(R) Visual Fortran Compiler XE 15.0 or a later version

Autor Devorah H. (Intel) Última actualización 25/05/2018 - 15:30
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OpenMP* WORKSHARE 现在可与英特尔® Fortran 编译器 15.0 并行

英特尔® Fortran 编译器 15.0 现可为包含阵列分配的 OpenMP WORKSHARE 和 PARALLEL WORKSHARE 结构的指定实例生成多线程代码。  很显然,它们是使用 OpenMP SINGLE 结构进行部署,这表示仅可生成单线程代码。

 

Autor Kenneth Craft (Intel) Última actualización 03/07/2019 - 20:00
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Introduction to OpenMP* on YouTube*

Tim Mattson (Intel) has authored an extensive series of excellent videos as in introduction to OpenMP*.

Autor Mike P. (Intel) Última actualización 04/07/2019 - 19:51
Article

OpenMP* 5.0 support in Intel® Compiler 18.0

OpenMP 5.0 is the next version of the OpenMP specification which should be officially released in 2018.

Autor Igor V. (Intel) Última actualización 09/03/2019 - 12:30
Article

Free access to Intel® Compilers, Performance libraries, Analysis tools and more...

Intel® Parallel Studio XE is a very popular product from Intel that includes the Intel® Compilers, Intel® Performance Libraries, tools for analysis, debugging and tuning, tools for MPI and the Intel® MPI Library. Did you know that some of these are available for free? Here is a guide to “what is available free” from the Intel Parallel Studio XE suites.
Autor admin Última actualización 30/09/2019 - 17:28
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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
Autor Última actualización 08/10/2019 - 18:20
Article

Intel® IPP - Threading / OpenMP* FAQ

This page contains common questions and answers on multi-threading in the Intel IPP.
Autor Última actualización 10/10/2019 - 10:48