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Parallel Universe Magazine - Issue 24, March 2016

Criado por administrar Última atualização em 12/12/2018 - 18:08
Article

Parallelization Using Intel® MPI

Get an overview of parallelization using the Intel® MPI Library and links to additional documentation.
Criado por administrar Última atualização em 30/09/2019 - 17:30
Article

Books - High Performance Parallelism Pearls

A look into the contents of the two "Pearls" books, edited by James Reinders and Jim Jeffers. These books contain a collection of examples of code modernization.
Criado por Mike P. (Intel) Última atualização em 30/09/2019 - 17:30
Article

著作 - High Performance Parallelism Pearls

A look into the contents of the two "Pearls" books, edited by James Reinders and Jim Jeffers. These books contain a collection of examples of code modernization.
Criado por Mike P. (Intel) Última atualização em 30/09/2019 - 17:28
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.
Criado por administrar Última atualização em 30/09/2019 - 17:28
Article

MPI-specific Files for Intel® Xeon Phi™ Coprocessor: What is Needed?

If you're planning on running with the Intel® MPI Library in an environment that includes Intel® Xeon Phi™ coprocessor cards, you need to make sure all cards contain the appropriate libraries and s

Criado por Gergana S. (Blackbelt) Última atualização em 15/10/2019 - 15:30
Article
Article

How to run Intel® MPI on the Intel® Xeon Phi™ Coprocessor

Support for the Intel® Xeon Phi™ coprocessor (formerly code named Knights Corner) is being

Criado por Gergana S. (Blackbelt) Última atualização em 15/10/2019 - 15:30
Article

Hybrid Parallelism: Parallel Distributed Memory and Shared Memory Computing

There are two principal methods of parallel computing: distributed memory computing and shared memory computing. As more processor cores are dedicated to large clusters solving scientific and engineering problems, hybrid programming techniques combining the best of distributed and shared memory programs are becoming more popular.
Criado por David M. Última atualização em 15/10/2019 - 16:40