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    Data Parallel C++

    Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL

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    Author(s)
    Reinders, James
    Ashbaugh, Ben
    Brodman, James
    Kinsner, Michael
    Pennycook, John
    Tian, Xinmin
    Language
    English
    Show full item record
    Abstract
    Learn how to accelerate C++ programs using data parallelism. This open access book enables C++ programmers to be at the forefront of this exciting and important new development that is helping to push computing to new levels. It is full of practical advice, detailed explanations, and code examples to illustrate key topics. Data parallelism in C++ enables access to parallel resources in a modern heterogeneous system, freeing you from being locked into any particular computing device. Now a single C++ application can use any combination of devices—including GPUs, CPUs, FPGAs and AI ASICs—that are suitable to the problems at hand. This book begins by introducing data parallelism and foundational topics for effective use of the SYCL standard from the Khronos Group and Data Parallel C++ (DPC++), the open source compiler used in this book. Later chapters cover advanced topics including error handling, hardware-specific programming, communication and synchronization, and memory model considerations. Data Parallel C++ provides you with everything needed to use SYCL for programming heterogeneous systems. What You'll Learn Accelerate C++ programs using data-parallel programming Target multiple device types (e.g. CPU, GPU, FPGA) Use SYCL and SYCL compilers Connect with computing’s heterogeneous future via Intel’s oneAPI initiative Who This Book Is For Those new data-parallel programming and computer programmers interested in data-parallel programming using C++.
    URI
    https://library.oapen.org/handle/20.500.12657/42917
    Keywords
    Programming Languages, Compilers, Interpreters; Hardware and Maker; Maker; heterogenous; FPGA programming; GPU programming; Parallel programming; Data parallelism; SYCL; Intel One API; Programming & scripting languages: general; Compilers & interpreters; Computer hardware
    DOI
    10.1007/978-1-4842-5574-2
    Publisher
    Springer Nature
    Publisher website
    https://www.springernature.com/gp/products/books
    Publication date and place
    2021
    Imprint
    Apress
    Classification
    Programming and scripting languages: general
    Computer hardware
    Pages
    548
    Rights
    http://creativecommons.org/licenses/by/4.0/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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