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Data Parallel C++

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

Authors: Reinders, J., Ashbaugh, B., Brodman, J., Kinsner, M., Pennycook, J., Tian, X.

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  • Learn heterogenous programming for CPU, GPU, FPGA, ASIC, etc.
  • Gain a vision for the future of parallel programming support in C++
  • Program with industrial strength implementations of SYCL, with extensions
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eBook  
  • ISBN 978-1-4842-5574-2
  • This book is an open access book, you can download it for free on link.springer.com
Softcover 51,99 €
price for Spain (gross)
About this book

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++.


About the authors

James Reinders is a consultant with more than three decades experience in Parallel Computing, and is an author/co-author/editor of nine technical books related to parallel programming.  He has had the great fortune to help make key contributions to two of the world's fastest computers (#1 on Top500 list) as well as many other supercomputers, and software developer tools. James finished 10,001 days (over 27 years) at Intel in mid-2016, and now continues to write, teach, program, and do consulting in areas related to parallel computing (HPC and AI).  

     

Table of contents (19 chapters)

Table of contents (19 chapters)
  • Introduction

    Pages 1-24

    Reinders, James (et al.)

  • Where Code Executes

    Pages 25-59

    Reinders, James (et al.)

  • Data Management

    Pages 61-90

    Reinders, James (et al.)

  • Expressing Parallelism

    Pages 91-130

    Reinders, James (et al.)

  • Error Handling

    Pages 131-147

    Reinders, James (et al.)

Buy this book

eBook  
  • ISBN 978-1-4842-5574-2
  • This book is an open access book, you can download it for free on link.springer.com
Softcover 51,99 €
price for Spain (gross)
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Bibliographic Information

Bibliographic Information
Book Title
Data Parallel C++
Book Subtitle
Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL
Authors
Copyright
2021
Publisher
Apress
Copyright Holder
Intel Corporation
eBook ISBN
978-1-4842-5574-2
DOI
10.1007/978-1-4842-5574-2
Softcover ISBN
978-1-4842-5573-5
Edition Number
1
Number of Pages
XXVI, 548
Number of Illustrations
58 b/w illustrations, 280 illustrations in colour
Topics