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Mises à jour pour développeurs Intel AppUp®

Note de l’éditeur : Cet article a été revu le 21 janvier 2014.

Authored by praveen-kundurthy (Intel) Last updated on 07/31/2015 - 13:48
Article

Actualizaciones para desarrolladores de Intel AppUp®

Gracias por inscribirse como desarrollador de Intel AppUp y enviar su o sus aplicaciones al centro Intel AppUp®.

Authored by praveen-kundurthy (Intel) Last updated on 07/31/2015 - 13:47
Article

Updates für Intel AppUp® Developer

Danke, dass Sie sich als Intel AppUp Developer beteiligen und Ihre App(s) beim Intel AppUp Center eingereicht haben.

Authored by praveen-kundurthy (Intel) Last updated on 07/31/2015 - 13:47
Article

Aggiornamenti per gli sviluppatori Intel AppUp®

Vi ringraziamo per la vostra partecipazione in qualità di sviluppatori Intel AppUp e per aver inviato applicazioni al centro Intel AppUp.

Authored by praveen-kundurthy (Intel) Last updated on 07/31/2015 - 13:46
Article

Intel AppUp® developer updates

Thank you for being an Intel AppUp developer and submitting your app(s) to the Intel AppUp center.

Authored by praveen-kundurthy (Intel) Last updated on 07/31/2015 - 13:45
Forum topic

Where are the Files ?

I'm following a tutorial for creating & uploading a file to a server, and although I've copied the code it is giving errors.

Authored by phil J. Last updated on 07/31/2015 - 13:17
Article

Intel® Threading Building Blocks: Scalable Programming for Multi-Core

Intel’s new parallel programming model is a new set of Libraries developed by Intel Software and Solutions Group in order to help developers write scalable code without worrying about managing threads.
Authored by Arch D. Robison (Intel) Last updated on 07/31/2015 - 13:06
Article

How to Compile for Intel® AVX

Use the Intel Compiler 11.1 or 12.0 with the switch /QxAVX (Windows*) or -xavx (Linux*) to compile applications for Intel® Advanced Vector Extensions (Intel® AVX).
Authored by Martyn Corden (Intel) Last updated on 07/31/2015 - 13:06
Article

Granularity and Parallel Performance

One key to attaining good parallel performance is choosing the right granularity for the application. Granularity is the amount of real work in the parallel task. If granularity is too fine, then performance can suffer from communication overhead.
Authored by admin Last updated on 07/31/2015 - 13:06
Article

Use Intel IPP in Intel® Parallel Studio

it illustrates how to use Intel IPP in Intel® Parallel Composer
Authored by Ying H (Intel) Last updated on 07/31/2015 - 13:06
For more complete information about compiler optimizations, see our Optimization Notice.