Cover Image

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

Show other versions (2)

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 t...

Full description

Saved in:
Bibliographic Details
Main Author: Reinders, James (auth)
Other Authors: Ashbaugh, Ben (auth), Brodman, James (auth), Kinsner, Michael (auth), Pennycook, John (auth), Tian, Xinmin (auth)
Format: Electronic Book Chapter
Language:English
Published: Springer Nature 2021
Subjects:
Programming & scripting languages: general
Computer hardware
Programming Languages, Compilers, Interpreters
Hardware and Maker
Maker
heterogenous
FPGA programming
GPU programming
Parallel programming
Data parallelism
SYCL
Intel One API
Compilers & interpreters
Online Access:DOAB: download the publication
DOAB: description of the publication
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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++.
Physical Description:1 electronic resource (548 p.)
ISBN:978-1-4842-5574-2
Access:Open Access

Similar Items