OFFRE LISEUSES
Une liseuse achetée = une housse offerte* jusqu'au 21 juin
Programming Your GPU with OpenMP. Performance Portability for GPUs
Par : ,Formats :
Disponible dans votre compte client Decitre ou Furet du Nord dès validation de votre commande. Le format ePub protégé est :
- Compatible avec une lecture sur My Vivlio (smartphone, tablette, ordinateur)
- Compatible avec une lecture sur liseuses Vivlio
- Pour les liseuses autres que Vivlio, vous devez utiliser le logiciel Adobe Digital Edition. Non compatible avec la lecture sur les liseuses Kindle, Remarkable et Sony
- Non compatible avec un achat hors France métropolitaine
, qui est-ce ?Notre partenaire de plateforme de lecture numérique où vous retrouverez l'ensemble de vos ebooks gratuitement
Pour en savoir plus sur nos ebooks, consultez notre aide en ligne ici
C'est si simple ! Lisez votre ebook avec l'app Vivlio sur votre tablette, mobile ou ordinateur :
- Nombre de pages336
- FormatePub
- ISBN978-0-262-37773-7
- EAN9780262377737
- Date de parution07/11/2023
- Protection num.Adobe DRM
- Taille13 Mo
- Infos supplémentairesepub
- ÉditeurThe MIT Press
Résumé
The essential guide for writing portable, parallel programs for GPUs using the OpenMP programming model. Today's computers are complex, multi-architecture systems: multiple cores in a shared address space, graphics processing units (GPUs), and specialized accelerators. To get the most from these systems, programs must use all these different processors. In Programming Your GPU with OpenMP, Tom Deakin and Timothy Mattson help everyone, from beginners to advanced programmers, learn how to use OpenMP to program a GPU using just a few directives and runtime functions.
Then programmers can go further to maximize performance by using CPUs and GPUs in parallel-true heterogeneous programming. And since OpenMP is a portable API, the programs will run on almost any system. Programming Your GPU with OpenMP shares best practices for writing performance portable programs. Key features include: The most up-to-date APIs for programming GPUs with OpenMP with concepts that transfer to other approaches for GPU programming.
Written in a tutorial style that embraces active learning, so that readers can make immediate use of what they learn via provided source code. Builds the OpenMP GPU Common Core to get programmers to serious production-level GPU programming as fast as possible. Additional features: A reference guide at the end of the book covering all relevant parts of OpenMP 5.2. An online repository containing source code for the example programs from the book-provided in all languages currently supported by OpenMP: C, C++, and Fortran.
Tutorial videos and lecture slides.
Then programmers can go further to maximize performance by using CPUs and GPUs in parallel-true heterogeneous programming. And since OpenMP is a portable API, the programs will run on almost any system. Programming Your GPU with OpenMP shares best practices for writing performance portable programs. Key features include: The most up-to-date APIs for programming GPUs with OpenMP with concepts that transfer to other approaches for GPU programming.
Written in a tutorial style that embraces active learning, so that readers can make immediate use of what they learn via provided source code. Builds the OpenMP GPU Common Core to get programmers to serious production-level GPU programming as fast as possible. Additional features: A reference guide at the end of the book covering all relevant parts of OpenMP 5.2. An online repository containing source code for the example programs from the book-provided in all languages currently supported by OpenMP: C, C++, and Fortran.
Tutorial videos and lecture slides.