Titre :	Data Parallel C++ : Programming Accelerated Systems Using C++ and SYCL
Type de document :	document électronique
Auteurs :	James Reinders, Auteur ; Ben Ashbaugh, Auteur ; James Brodman, Auteur
Editeur :	Berlin [Germany] : Springer Nature Limited
Année de publication :	2023
Importance :	630 p.
Présentation :	ill.
ISBN/ISSN/EAN :	978-1-4842-9691-2
Langues :	Anglais (eng)
Catégories :	Open Access Publications
Tags :	heterogenous  FPGA programming  GPU programming  Parallel programming  Data parallelism  SYCL  Intel One API
Index. décimale :	005.133 Langages de programmation particuliers
Résumé :	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.
En ligne :	https://doi.org/10.1007/978-1-4842-9691-2

Data Parallel C++ : Programming Accelerated Systems Using C++ and SYCL [document électronique] / James Reinders, Auteur ; Ben Ashbaugh, Auteur ; James Brodman, Auteur . - Berlin (Germany) : Springer Nature Limited, 2023 . - 630 p. : ill.
ISBN : 978-1-4842-9691-2
Langues : Anglais (eng)

Catégories :	Open Access Publications
Tags :	heterogenous  FPGA programming  GPU programming  Parallel programming  Data parallelism  SYCL  Intel One API
Index. décimale :	005.133 Langages de programmation particuliers
Résumé :	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.
En ligne :	https://doi.org/10.1007/978-1-4842-9691-2