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Beschreibung
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++. Dieses Produkt haben wir gerade leider nicht auf Lager.
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Technische Daten
Erscheinungsdatum
03.11.2020
Sprache
Englisch
EAN
9781484255735
Herausgeber
APRESS
Sonderedition
Nein
Autor
James Brodman
Seitenanzahl
548
Auflage
1st edition
Einbandart
Taschenbuch
Buch Untertitel
Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL
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