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Juste publié ! Intel® Xeon Phi™ Coprocessor High Performance Programming 
Apprenez les fondements de la programmation pour cette nouvelle architecture et les nouveaux produits. Nouveau !
Intel® System Studio
Intel® System Studio est une suite exhaustive d’outils intégrés de développement de logiciels qui peut accélérer la mise sur le marché, renforcer la fiabilité des systèmes et améliorer l’efficacité énergétique et les performances. Nouveau !
Au cas où vous l’avez manqué – Rediffusion du webinaire en direct de deux jours
Introduction au développement d’applications hautes performances pour processeurs Intel® Xeon® et coprocesseurs Intel® Xeon Phi™.
Structured Parallel Programming
Les auteurs Michael McCool, Arch D. Robison et James Reinders utilisent une approche basée sur des modèles structurés qui devrait rendre le sujet accessible à tous les développeurs de logiciels.

Optimisez les performances de vos applications grâce à la programmation parallèle et avec l'aide des ressources novatrices d'Intel.

Ressources de développement


Outils de développement

 

Intel® Parallel Studio

Intel® Parallel Studio, qui apporte aux développeurs Microsoft Visual Studio* C/C++ un traitement parallèle de bout en bout simplifié, fournit des outils avancés permettant d’optimiser les applications clientes pour un traitement multicœur et à nombreux cœurs.

Produits Intel® de développement logiciel ›

Explorez tous les outils qui vous aideront à optimiser vos applications pour l’architecture Intel. Certains outils sont disponibles pour une période d’évaluation gratuite de 45 jours.

Base de connaissances sur les outils

Trouvez des guides et des informations d'assistance sur les outils Intel.

Intel® Xeon Phi™ Coprocessor code named “Knights Landing” - Application Readiness
Par Indraneil Gokhale (Intel)Publié le 09/15/20140
As part of the application readiness efforts for future Intel® Xeon® processors and Intel® Xeon Phi™ coprocessors (code named Knights Landing), developers are interested in improving two key aspects of their workloads: Vectorization/code generation Thread parallelism This article mainly talks a...
Intel® IPP - Threading / OpenMP* FAQ
Par Naveen GvPublié le 04/08/20157
This page contains common questions and answers on multi-threading in the Intel IPP.
Threading Intel® Integrated Performance Primitives Image Resize with Intel® Threading Building Blocks
Par Jeffrey Mcallister (Intel)Publié le 04/08/20150
Threading Intel® IPP Image Resize with Intel® TBB.pdf (157.18 KB) :Download Now   Introduction The Intel® Integrated Performance Primitives (Intel® IPP) library provides a wide variety of vectorized signal and image processing functions. Intel® Threading Building Blocks (Intel® TBB) adds simpl...
License changes in Intel® Parallel Studio XE 2016 Beta
Par Gergana Slavova (Intel)Publié le 03/30/20150
This Beta release of the Intel® Parallel Studio XE 2016 introduces a major change to the 'Named-user' licensing scheme (provided as default for the 2016 Beta licenses).  Read below for more details on this new functionality as well as a list of special exceptions.  Following a thorough Beta testi...
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[Acceler8 '12] Scaling fast sequential algorithms using MapReduce
Par seviyor Publié le 30/05/12 0
Parallel algorithm vs. work in parallel As many of the forum posts have shown, fast algorithms for solving the problem of maximal common substrings gave good results on the benchmarck but didn't really scale with the number of threads. This is because those sub-square (linear or n*logn) algorithm...
Create a Ubuntu 11.04 LiveUSB to use Intel® Parallel Studio XE
Par Xavier H. (Intel) Publié le 14/05/12 0
You need a license for Intel® Parallel Studio XE for Linux and and at least a 4GB USB Key. Get an ISO image of Ubuntu 11.04. Create a new Ubuntu 11.04 LiveUSB, with persistence mode enabled (you can specify a size of 1mo for the persistence file, you will overwrite it with a ~3Go file in the next...
Getting system parameters in order to improve data structures
Par andreib Publié le 13/05/12 0
Dear programmer, there are a lot of situations when you have to deal with very efficient data structures to get a good performance. An important characteristic of a data structure is granularity. How big the data structure should be? Which is the optimum size of its elements? Of course there is ...
Retour d'expérience concours Acceler'8
Par Maxime RIVIERE Publié le 01/02/12 1
La nouvelle édition du concours acceler'8 a pris fin il y'a un peu plus d'un mois. Contrairement au concours précédent, nous n'avons pas publié d'article. Il faudrait que nous le fassions à l'occasion. C'etait une part intéressante du concours précédent. Les contraintes de la vie courante reprenn...
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Intel® Parallel Studio XE SP1 & Intel® Cluster Studio XE SP1
Par kathy-farrel (Intel)0
Intel® Parallel Studio XE SP1 & Intel® Cluster Studio XE SP1 - What's New - Webinar Tuesday, September 17 9am PDT Please join us for a technical presentation on the new features found in the recently released Intel® Parallel Studio XE 2013 SP1 Intel® Cluster Studio XE SP1. This release includes support for compilers and performance analysis on Intel® Xeon Phi™ on Windows*. The technical presentation will briefly cover new features for both C++ and Fortran on Linux*, Windows*, and OS X* operating systems as well as error checking and performance profiling tools. Learn how to efficiently boost your application performance! Not too late! - Register Now  Learn about Upcoming Webinars
error when compile parsec with icc.
Par sun l.0
error when compile http://parsec.cs.princeton.edu/parsec3-doc.htm with icc. What's "/opt/intel/cc/latest"? it doesn't exist on my machine. should i make a cc fold? ---------- [root@amax parsec-3.0]# cd /opt/intel [root@amax intel]# ls bin                     composerxe  ism       mic     cnc                     impi        lib       mkl     include     licenses  mpi-rt     ipp         man       tbb [root@amax parsec-3.0]# whereis icc icc: /opt/intel/bin/icc [root@amax parsec-3.0]# whereis cc cc: /usr/bin/cc --------------  some config of icc.bldconf # CC_HOME is the installation root of the C compiler   export CC_HOME="/opt/intel/cc/latest"   #  export CC_HOME="/opt/intel/bin/" when i changed CC_HOME to "/opt/intel/bin/", still error     ----------- [root@amax parsec-3.0]# parsecmgmt -a build -c icc [PARSEC] Packages to build:  blackscholes bodytrack facesim ferret freqmine raytrace swaptions fluidanimate vips x264 canneal dedup streamcluster [PARSEC] [========== Build...
Parallel Image Processing in OpenMP - Image Blocks
Par Royi5
Hello, I'm doing my first steps in the OpenMP world. I have an image I want to apply a filter on. Since the image is large I wanted to break it into non overlapping parts and apply the filter on each independently in parallel. Namely, I'm creating 4 images I want to have different threads. I'm using Intel IPP for the handling of the images and the function to apply on each sub image. I described the code here: http://stackoverflow.com/questions/29319226/parallel-image-processing-in... The problem is I tried both sections and parallel for and got only 20% improvement. What am I doing wrong? How can I tell each "Worker" that though data is taken from the same array, it is safe to read (Data won't change) and write (Each worker has exclusive approach to its part of the result image). Thank You.
COPROCESSADOR PHI AND JAVA
Par Rafael R.2
Hi, In our university bought a machine with CO-PROCESSOR PHI. The description in the site: https://software.intel.com/en-us/articles/intelr-xeon-phitm-coprocessor-... It is reported that there is no support JAVA yet. The answer is 2013 and we are already in 2015. Is there a Java option for coding? Tks Rafael
Intel® Xeon Phi™ Coprocessor Developer Training Coming to a City Near You in 2015
Par Mike Pearce (Intel)0
https://software.intel.com/en-us/blogs/2015/03/04/intel-xeon-phi-coprocessor-developer-training-coming-to-a-city-near-you-in-2015
Mixing kernel space and userspace in a new kernel.
Par Jog L.0
Hello, I was thinking of creating an open source kernel (with block already written in the linux kernel obviously). Now I would like to hear from experts what are the dangers to run in ring0 if no users and no external connections are done. We are in a situation in which the processor is isolated from the whole world. No one can mess with it. all the processes running on top of it have to register and are created and compiled by root using a specific memory range. No process can be launched without the acceptation of root. No human accesses it. The code running inside is reviewed and we have facilities to be sure no other memory range than the one we expect each process to use can be used. That is for the -restrictive- context. Now, could we imagine it be possible for such a kernel to exist or are there some limitations that I don't predict ? The kernel is to be massively specialized, hence the "almost starting from scratch". Thanks for your insights, Jog
linking with two versions of mkl (multi threaded and single threaded) in one application
Par Michal K.3
Hi, Is it possible to use both the single threaded version of mkl library and the multi threaded version of mkl in one application? I need the single threaded version to use with PLASMA library, yet at some other part of my code, I need use mkl PARDISO, for which I need the multi threaded version. Any help will be greatly appreciated. Cheers Michal  
PCIe 3.0 reference clock jitter tool
Par Sonal C.0
Where can I access the Intel PCIe clock jitter tool
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