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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.

  • 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
  • The ebook is not yet available online.
Softcover $54.99
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week). Pre-ordered printed titles are excluded from promotions.
  • Due: November 13, 2020
  • ISBN 978-1-4842-5573-5
  • Free shipping for individuals worldwide. Please be advised Covid-19 shipping restrictions apply. Please review prior to ordering
  • Usually ready to be dispatched within 3 to 5 business days
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).  

     

Buy this book

eBook  
  • ISBN 978-1-4842-5574-2
  • The ebook is not yet available online.
Softcover $54.99
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week). Pre-ordered printed titles are excluded from promotions.
  • Due: November 13, 2020
  • ISBN 978-1-4842-5573-5
  • Free shipping for individuals worldwide. Please be advised Covid-19 shipping restrictions apply. Please review prior to ordering
  • Usually ready to be dispatched within 3 to 5 business days
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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
48 b/w illustrations, 287 illustrations in colour
Topics