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

Price: ₹77.88
(as of Oct 09, 2024 14:38:20 UTC – Details)

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 programmingTarget 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++.

ASIN ‏ : ‎ B08MKYHJ6R
Publisher ‏ : ‎ Apress; 1st ed. edition (2 November 2020)
Language ‏ : ‎ English
File size ‏ : ‎ 93334 KB
Text-to-Speech ‏ : ‎ Enabled
Screen Reader ‏ : ‎ Supported
Enhanced typesetting ‏ : ‎ Enabled
X-Ray ‏ : ‎ Not Enabled
Word Wise ‏ : ‎ Not Enabled
Print length ‏ : ‎ 606 pages