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Parallelization Using Intel® MPI

Get an overview of parallelization using the Intel® MPI Library and links to additional documentation.
Authored by admin Last updated on 09/30/2019 - 17:30
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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.
Authored by admin Last updated on 09/30/2019 - 17:28
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基于英特尔® 架构加速金融应用

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Authored by George Raskulinec (Intel) Last updated on 10/03/2019 - 08:00
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面向使用 PME 工作负载的对称英特尔® MPI 的 GROMACS 方案

目标

该文件包(脚本及其说明)提供了针对对称英特尔运行的构建和运行环境。 该文件实际上是自述 (README) 文件包。 对称指采用至强™ 可执行文件和至强融核™ 可执行文件,两者通过英特尔 MPI 同时运行以传输 MPI 消息和集体数据。

Authored by Heinrich Bockhorst (Intel) Last updated on 10/03/2019 - 08:11
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Measuring performance in HPC

This is the first article in a series of articles about High Performance Computing with the Intel® Xeon Phi™ coprocessor.

Authored by Last updated on 10/15/2019 - 16:40
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GROMACS Recipe for Symmetric Intel® MPI Using PME Workloads

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Authored by Heinrich Bockhorst (Intel) Last updated on 10/15/2019 - 16:40
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Hybrid Parallelism: A MiniFE* Case Study

This case study examines the situation where the problem decomposition is the same for threading as it is for Message Passing Interface* (MPI); that is, the threading parallelism is elevated to the same level as MPI parallelism.
Authored by David M. Last updated on 10/15/2019 - 16:40
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Building FreeFEM++ with Intel® Software Tools for Developers

FreeFEM++ is a package that targeted for researchers who needs a powerful tool for solving partial differential equations.

Authored by Dmitry S. (Intel) Last updated on 10/15/2019 - 21:24
Article

Accelerating Financial Applications on Intel® architecture

Learn more about an in-depth analysis of code modernization performance conducted by optimizing original CPU code and re-running tests on the latest GPU/CPU hardware.
Authored by George Raskulinec (Intel) Last updated on 10/17/2019 - 14:37