Apress | Data Parallel C++: Mastering DPC++ For Programming Of Heterogeneous Systems Using C++ And SYCL (2021 EN)

Author: James Reinders, Ben Ashbaugh, James Brodman, Michael Kinsner, John Pennycook, Xinmin Tian
Full Title: Data Parallel C++: Mastering DPC++ For Programming Of Heterogeneous Systems Using C++ And SYCL
Publisher: Apress; 1st ed. edition (November 2, 2020)
Year: 2021
ISBN-13: 9781484255742 (978-1-4842-5574-2), 9781484255735 (978-1-4842-5573-5)
ISBN-10: 1484255747, 1484255739
Pages: 548
Language: English
Genre: Educational: Programming
File type: EPUB (True), PDF (True)
Quality: 10/10
Price: 53.49 €


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.


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

Features:
✓ 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

Who This Book Is For:
Those new data-parallel programming and computer programmers interested in data-parallel programming using C++.

-------------
Our members see more. Join us!