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Heterogeneous Computing with OpenCL读书介绍

类别 页数 译者 网友评分 年代 出版社
书籍 296页 2020 Morgan Kaufmann
定价 出版日期 最近访问 访问指数
USD 69.95 2020-02-20 … 2020-06-02 … 81
主题/类型/题材/标签
计算机科学,并行,OpenCL,Computing,Programming,2011,programming,opencl,
作者
Benedict Gaster      ISBN:9780123877666    原作名/别名:《》
内容和作者简介
Heterogeneous Computing with OpenCL摘要

Heterogeneous Computing with OpenCL teaches OpenCL and parallel programming for complex systems that may include a variety of device architectures: multi-core CPUs, GPUs, and fully-integrated Accelerated Processing Units (APUs) such as AMD Fusion technology. Designed to work on multiple platforms and with wide industry support, OpenCL will help you more effectively program for a heterogeneous future. Written by leaders in the parallel computing and OpenCL communities, this book will give you hands-on OpenCL experience to address a range of fundamental parallel algorithms. The authors explore memory spaces, optimization techniques, graphics interoperability, extensions, and debugging and profiling. Intended to support a parallel programming course, Heterogeneous Computing with OpenCL includes detailed examples throughout, plus additional online exercises and other supporting materials. Explains principles and strategies to learn parallel programming with OpenCL, from understanding the four abstraction models to thoroughly testing and debugging complete applications. Covers image processing, web plugins, particle simulations, video editing, performance optimization, and more. Shows how OpenCL maps to an example target architecture and explains some of the tradeoffs associated with mapping to various architectures Addresses a range of fundamental programming techniques, with multiple examples and case studies that demonstrate OpenCL extensions for a variety of hardware platforms

作者简介

Benedict R. Gaster是一位致力于研究下一代异构处理器编程模型的软件架构师,具体研究新一代处理器(同时包含CPU和GPU加速器)进行并行编程的高层次抽象。他对OpenCL的设计做出了广泛的贡献,并在Khronos Group(科纳斯组织)的开放标准联盟中代表AMD。他因为类型系统的可扩展标记和变量的研究成果而获得计算机科学博士学位。

Lee Howes已经在AMD工作两年多,目前的研究集中于未来异构计算的编程模型。他的研究举在于如何以声明方式表示迭代域到数据的映射,用通俗易懂的方式向开发人员说明复杂的架构概念和优化技术,这两者都通过编程模型的改进和教育来实现。他因为这一领域的研究成果而获得伦敦帝国学院计算机科学的博士学位。

David Kaeli获得罗格斯大学电气工程专业的学士和博士学位,雪城大学计算机工程专业的硕士学位。他是东北大学工...

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