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Intel® Trace Analyzer and Collector for Linux* - Intel® MPI Correctness Checking Library

Find out about the Intel® MPI Correctness Checking Library - a novel technology to detect errors with data types, buffers, communicators, point-to-point messages and collective operations, deadlocks, or data corruption in your MPI programs.
Criado por Gergana S. (Blackbelt) Última atualização em 14/09/2018 - 14:48
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Intel® Trace Collector Filtering

Filtering in the Intel® Trace Collector will apply specified filters to the trace collection process.  This directly reduces the amount of data collected.  The filter rules can be applied either vi

Criado por James T. (Intel) Última atualização em 06/07/2019 - 19:14
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Using Pause/Resume API for MPI program?

I wrote the article about using Pause/Resume API from Intel® VTune™ Amplifier XE in C/C++

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One of the new features in Intel® Trace Analyzer and Collector is the new Intel® Trace Analyzer Summary Page.  This gives a high-level overview of your program’s time spent in MPI vs.

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Why it is needed?
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Q: Why should we select a certified Intel Cluster Ready system and registered Intel Cluster Ready applications?

Criado por Krotz-Vogel, Werner (Intel) Última atualização em 06/07/2019 - 11:10
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Intel Cluster Ready FAQ: Hardware vendors, system integrators, platform suppliers

Q: Why should we join the Intel® Cluster Ready program?

Criado por Krotz-Vogel, Werner (Intel) Última atualização em 06/07/2019 - 11:10
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Intel Cluster Ready FAQ: Software vendors (ISVs)

Why should we join the Intel Cluster Ready program?

Criado por Krotz-Vogel, Werner (Intel) Última atualização em 06/07/2019 - 11:10
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Building and Running 3D-FFT Code that Leverages MPI-3 Non-Blocking Collectives with the Intel® Parallel Studio XE Cluster Edition

This application help developers to use Intel® Software Development Tools and the 3D-FFT code sample from the Scalable Parallel Computing Lab (SPCL), Zurich.
Criado por Mark L. (Intel) Última atualização em 06/07/2019 - 11:35
Mensagem de blog

Reducing Initialization Times of the Intel® MPI Library

Running large scale Intel® MPI applications on Omni-Path or InfiniBand* clusters, one might have recognized an increasing time spend within the MPI_Init() routine.

Criado por Michael Steyer (Intel) Última atualização em 04/07/2019 - 10:33