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Programming Your GPU with OpenMP

- Performance Portability for GPUs
Af: Tom Deakin, Timothy G. Mattson Engelsk Paperback

Programming Your GPU with OpenMP

- Performance Portability for GPUs
Af: Tom Deakin, Timothy G. Mattson Engelsk Paperback
Tjek vores konkurrenters priser
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.
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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.
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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 336
ISBN-13: 9780262547536
Indbinding: Paperback
Udgave:
ISBN-10: 0262547538
Kategori: Informationsteknologi: generelt
Udg. Dato: 7 nov 2023
Længde: 28mm
Bredde: 231mm
Højde: 204mm
Forlag: MIT Press Ltd
Oplagsdato: 7 nov 2023
Forfatter(e): Tom Deakin, Timothy G. Mattson
Forfatter(e) Tom Deakin, Timothy G. Mattson

Kategori Informationsteknologi: generelt

ISBN-13 9780262547536

Sprog Engelsk

Indbinding Paperback

Sider 336

Udgave

Længde 28mm

Bredde 231mm

Højde 204mm

Udg. Dato 7 nov 2023

Oplagsdato 7 nov 2023

Forlag MIT Press Ltd