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Programming Your GPU with OpenMP: Performance Portability for GPUs (Scientific and Engineering Computation)

by Tom Deakin (Author), Timothy G. Mattson (Author)

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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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  1. ISBN-10
    0262547538
  2. ISBN-13
    978-0262547536
  3. Publisher
    The MIT Press
  4. Publication date
    November 7, 2023
  5. Part of series
    Scientific and Engineering Computation
  6. Language
    English
  7. Dimensions
    8 x 0.88 x 9 inches
  8. Print length
    336 pages
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Editorial Reviews

Review

“This book is an exceptional resource guiding readers on their path to becoming GPU programmers, offering a wealth of knowledge for anyone interested in mastering the art of programming GPUs using OpenMP.”
—Jack Dongarra, Emeritus Professor, Electrical Engineering and Computer Science, University of Tennessee
 
“Programming GPUs doesn't need to be hard. This book does a fantastic job guiding you through the OpenMP features for heterogeneity and teaching you how leverage GPUs to accelerate your code.”
—Michael Klemm, CEO, OpenMP Architecture Review Board
 
“I was delighted to read this book! With its careful separation of basic features from advanced topics, it is an excellent instructional aid as well as a suitable basis for self-learning.”
—Barbara M. Chapman, Professor of Computer Science, Stony Brook University; co-author of Using OpenMP: Portable Shared Memory Parallel Programming (MIT Press)

About the Author

Tom Deakin is Lecturer in Advanced Computer Systems at the University of Bristol, researching the performance portability of massively parallel high performance simulation codes. He has given tutorials and lecture series on parallel programming models including OpenMP, SYCL, and OpenCL.

Timothy G. Mattson is a senior principal engineer at Intel where he’s worked since 1993 on: the first TFLOP computer; the creation of MPI, OpenMP, and OpenCL; HW/SW co-design of many-core processors; data management systems; and the GraphBLAS API for expressing graph algorithms as sparse linear algebra.

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  1. Timothy G. Mattson

    Timothy G. Mattson

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    Tim Mattson is a scientist (Ph.D. theoretical chemistry), parallel programmer and writer. He has had the privilege of working on some of the world's most exotic computers (ASCI Red ... the first TFLOP computer in 1996), experimental CPUs (the first TFLOP CPU in 2007), and has worked on several important parallel programming languages (MPI, OpenMP, and OpenCL).

    In addition to his technical work, Tim is a well known kayak instructor (ACA level-5 instructor, ACA level 3 instructor trainer) who lectures at venues across the Pacific Northwest on the science and anthropology of kayaking.

    Dr. Mattson's research for the last decade has focused on the intersections between cognitive psychology, software engineering, and scalable computing. His ongoing research (in partnership with the ParLab at UC Berkeley) is to develop a large-scale design pattern language that addresses the problem of engineering robust scalable applications. You can follow this work at the project URL: http://parlab.eecs.berkeley.edu/wiki/patterns

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  2. Tom Deakin

    Tom Deakin

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    Dr Tom Deakin is a Lecturer in Advanced Computer Systems at the University of Bristol researching the performance portability of massively parallel High Performance simulation codes. He develops both the theory and practice of performance portability, exploring parallel programming languages and designing and evaluating proxy applications. Tom has contributes to a number of open standard programming models, including SYCL, OpenMP, OpenCL and ISO C++. He is Chair of the Khronos SYCL Working Group, and a member of the ISO WG21 C++ Standards Committee.

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