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
Data Parallel C++: Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL
โ Scribed by James Reinders; Ben Ashbaugh; James Brodman; Michael Kinsner; John Pennycook; Xinmin Tian
- Publisher
- Apress
- Tongue
- English
- Category
- Library
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
<p><span>"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." </span><span>Erik Lindahl, GROMACS and Stockholm University</span></p><p><span><br></span></p><p><span>Learn how to accelerate C++ programs using
Learn how to accelerate C++ programs using data parallelism and SYCL. This 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
Foreword by Bjarne Stroustrup Software is generally acknowledged to be the single greatest obstacle preventing mainstream adoption of massively-parallel computing. While sequential applications are routinely ported to platforms ranging from PCs to mainframes, most parallel programs only ever run
Intended for programmers familiar with C++, this book explains how the C++ standard library, algorithms, and container classes behave in distributed and parallel environments, and offers methods for extending the C++ language through class libraries and function libraries to accomplish distributed a