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

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

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...

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Hlavní autor: Reinders, James (auth)
Další autoři: Ashbaugh, Ben (auth), Brodman, James (auth), Kinsner, Michael (auth), Pennycook, John (auth), Tian, Xinmin (auth)
Médium: Kapitola
Vydáno: Springer Nature 2021
Témata:
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
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