Data Parallel C++: Mastering DPC++ for Programming using C++ and SYCL (James Reinders, et al)

 
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Data Parallel C++: Mastering DPC++ for Programming using C++ and SYCL (James Reinders, et al)

Learn how to use Data Parallelism to speed up C++ programs. C++ programmers can be at the vanguard of this fascinating and crucial new development, which is assisting in elevating computing, thanks to this open-access book.

It is jam-packed with helpful tips, in-depth explanations, and code examples to highlight important concepts.

Because C++ supports data parallelism, you can utilize parallel resources in a contemporary heterogeneous system without being restricted to single computer hardware. Any mix of hardware, including GPUs, CPUs, FPGAs, and AI ASICs, that is appropriate for the tasks at hand can now be used by a single C++ application.

The open-source compiler used in this book, Data Parallel C++ (DPC++) and essential themes for successful usage of the SYCL standard from the Khronos Group are introduced at the beginning of the book. Advanced subjects including error management, hardware-specific programming, communication and synchronization, and memory model issues are covered in later chapters.

This book is intended for computer programmers who are interested in learning C++ data-parallel programming as well as those who are new to the field. It gives you everything you need to program heterogeneous systems using SYCL.

Ebook Details

About the Authors
In addition to being an author, co-author, or editor of nine technical books on parallel programming, James Reinders is a consultant with more than three decades of experience in parallel computing.
Publisher
Published
Published Date / Year
1st ed. edition (November 3, 2020); eBook (Creative Commons Licensed)
License(s)
CC BY 4.0
Hardcover
574 pages
eBook Format
PDF (565 pages) and ePub
Language
English
ISBN-10
1484255739
ISBN-13
978-1484255735

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