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      Programming Your GPU with OpenMP: Performance Portability for GPUs

      2 in stock

      Firm sale: non returnable item
      SKU 9780262547536 Categories ,
      Select Guide Rating
      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 a...

      £76.00

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      Description

      Product ID:9780262547536
      Product Form:Paperback / softback
      Country of Manufacture:US
      Title:Programming Your GPU with OpenMP
      Subtitle:Performance Portability for GPUs
      Authors:Author: Timothy G. Mattson, Tom Deakin
      Page Count:336
      Subjects:Information technology: general topics, Information technology: general issues
      Description:Select Guide Rating
      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.

      Imprint Name:MIT Press
      Publisher Name:MIT Press Ltd
      Country of Publication:GB
      Publishing Date:2023-11-07

      Additional information

      Weight546 g
      Dimensions204 × 231 × 28 mm