| 书目名称 | Data Parallel C++ | | 副标题 | Programming Accelera | | 编辑 | James Reinders,Ben Ashbaugh,Xinmin Tian | | 视频video | | | 概述 | Teaches heterogenous programming for CPU, GPU, FPGA, ASIC, etc..Presents a vision for the future of parallel programming support in C++.Shows you how to program with industrial strength implementation | | 图书封面 |  | | 描述 | ."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 fo | | 出版日期 | Book‘‘‘‘‘‘‘‘ 2023Latest edition | | 关键词 | heterogenous; FPGA programming; GPU programming; Parallel programming; Data parallelism; SYCL; Intel One A | | 版次 | 2 | | doi | https://doi.org/10.1007/978-1-4842-9691-2 | | isbn_softcover | 978-1-4842-9690-5 | | isbn_ebook | 978-1-4842-9691-2 | | copyright | Intel Corporation 2023 |
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发表于 2025-3-21 16:24:26
