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Titlebook: Data Parallel C++; Programming Accelera James Reinders,Ben Ashbaugh,Xinmin Tian Book‘‘‘‘‘‘‘‘ 2023Latest edition Intel Corporation 2023 hete

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發(fā)表于 2025-3-21 16:24:26 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Data Parallel C++
副標題Programming Accelera
編輯James Reinders,Ben Ashbaugh,Xinmin Tian
視頻videohttp://file.papertrans.cn/263/262988/262988.mp4
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
圖書封面Titlebook: Data Parallel C++; Programming Accelera James Reinders,Ben Ashbaugh,Xinmin Tian Book‘‘‘‘‘‘‘‘ 2023Latest edition Intel Corporation 2023 hete
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
關鍵詞heterogenous; FPGA programming; GPU programming; Parallel programming; Data parallelism; SYCL; Intel One A
版次2
doihttps://doi.org/10.1007/978-1-4842-9691-2
isbn_softcover978-1-4842-9690-5
isbn_ebook978-1-4842-9691-2
copyrightIntel Corporation 2023
The information of publication is updating

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沙發(fā)
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發(fā)表于 2025-3-22 04:05:01 | 只看該作者
James Reinders,Ben Ashbaugh,Xinmin TianTeaches 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
地板
發(fā)表于 2025-3-22 04:45:08 | 只看該作者
5#
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Expressing Parallelism,ally shown in prior chapters. Chapter 4 explains the strengths and weaknesses of the different ways to express parallelism in SYCL using working code examples and concludes?with some high-level guidance regarding when and why to use different SYCL features.
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Common Parallel Patterns,It shows how to leverage the built-in (i.e., library) functionality of SYCL to maximize developer productivity, and provides a starting point for developers interested in developing their own implementations of these patterns from scratch.
9#
發(fā)表于 2025-3-23 03:48:08 | 只看該作者
Memory Model and Atomics, explores how SYCL builds upon the memory consistency model of C++, incorporating concepts like address spaces and memory scopes. It demonstrates how to safely guard against race conditions using atomic references and discusses some of the potential pitfalls of using atomics to implement synchronization routines in SYCL.
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