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Data Parallel C++: Programming Accelerated Systems Using C++ and SYCL

Reinders, James - Personal Name; Ashbaugh, Ben - Personal Name; Brodman, James - Personal Name;

"This book, now in is second edition, is the premier resource to learn SYCL 2020 and is the ONLY book you need to become part of this community." Erik Lindahl, GROMACS and Stockholm University



Learn how to accelerate C++ programs using data parallelism and SYCL.

This open access book enables C++ programmers to be at the forefront of this exciting and important development that is helping to push computing to new levels. This updated second edition is full of practical advice, detailed explanations, and code examples to illustrate key topics.

SYCL enables access to parallel resources in modern accelerated heterogeneous systems. Now, a single C++ application can use any combination of devices–including GPUs, CPUs, FPGAs, and ASICs–that are suitable to the problems at hand.

This book teaches data-parallel programming using C++ with SYCL and walks through everything needed to program accelerated systems. The book begins by introducing data parallelism and foundational topics for effective use of SYCL. Later chapters cover advanced topics, including error handling, hardware-specific programming, communication and synchronization, and memory model considerations.

All source code for the examples used in this book is freely available on GitHub. The examples are written in modern SYCL and are regularly updated to ensure compatibility with multiple compilers.


Availability
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220123426
Available
Detail Information
Series Title
-
Call Number
-
Publisher
Berkeley, USA : Apress Berkeley, CA., 2023
Collation
XXX, 630
Language
English
ISBN/ISSN
9781484296912
Classification
-
Content Type
text
Media Type
computer
Carrier Type
online resource
Edition
-
Subject(s)
Programming Languages
Specific Detail Info
-
Statement of Responsibility
James Reinders , Ben Ashbaugh , James Brodman , Michael Kinsner , John Pennycook , Xinmin Tian
Other Information
Cataloger
Kholif Basri
Source
-
Validator
-
Digital Object Identifier (DOI)
https://doi.org/10.1007/978-1-4842-9691-2
Journal Volume
-
Journal Issue
-
Subtitle
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Parallel Title
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No other version available

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  • Data Parallel C++
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