CUDA by Example

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Jason Sanders是NVIDIA公司CUDA平台小组的高级软件工程师。他在NVIDIA的工作包括帮助开发早期的CUDA系统软件,并参与OpenCL 1.0规范的制定,该规范是一个用于异构计算的行业标准。Jason在加州大学伯克利分校获得计算机科学硕士学位,他发表了关于GPU计算的研究论文。此外,他还获得了普林斯顿大学电子工程专业学士学位。在加入NVIDIA公司之前,他曾在ATI技术公司、Apple公司以及Novell公司工作过。

Edward Kandrot是NVIDIA公司CUDA算法小组的高级软件工程师。他在代码优化和提升性能等方面拥有20余年的工作经验,参与过Photoshop和Mozilla等项目。Kandrot曾经在Adobe公司、Microsoft公司工作过,他还是许多公司的咨询师,包括Apple公司和Autodesk公司。

出版者:Addison-Wesley Professional
作者:Jason Sanders
出品人:
页数:312
译者:
出版时间:2010-7-29
价格:USD 39.99
装帧:Paperback
isbn号码:9780131387683
丛书系列:
图书标签:
  • CUDA 
  • 并行计算 
  • GPU 
  • Programming 
  • NVIDIA 
  • 编程 
  • 计算机 
  • CG 
  •  
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"This book is required reading for anyone working with accelerator-based computing systems." --From the Foreword by Jack Dongarra, University of Tennessee and Oak Ridge National Laboratory CUDA is a computing architecture designed to facilitate the development of parallel programs. In conjunction with a comprehensive software platform, the CUDA Architecture enables programmers to draw on the immense power of graphics processing units (GPUs) when building high-performance applications. GPUs, of course, have long been available for demanding graphics and game applications. CUDA now brings this valuable resource to programmers working on applications in other domains, including science, engineering, and finance. No knowledge of graphics programming is required--just the ability to program in a modestly extended version of C. CUDA by Example, written by two senior members of the CUDA software platform team, shows programmers how to employ this new technology. The authors introduce each area of CUDA development through working examples. After a concise introduction to the CUDA platform and architecture, as well as a quick-start guide to CUDA C, the book details the techniques and trade-offs associated with each key CUDA feature. You'll discover when to use each CUDA C extension and how to write CUDA software that delivers truly outstanding performance. Major topics covered include *Parallel programming*Thread cooperation*Constant memory and events*Texture memory*Graphics interoperability*Atomics*Streams*CUDA C on multiple GPUs*Advanced atomics*Additional CUDA resources All the CUDA software tools you'll need are freely available for download from NVIDIA. http://developer.nvidia.com/object/cuda-by-example.html

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For people who want a copy of the English version: http://www.physics.drexel.edu/~valliere/PHYS405/GPU_Story/CUDA_by_Example_Addison_Wesley_Jul_2010.pdf For my comments about the book in Chinese: http://book.douban.com/review/6737718/  

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10行不到的程序有100多处错误,这是几何级增加的错误在并行增长.....................................................................................................................................................  

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GPU高性能编程CUDA实战 [平装] ~ 桑德斯(Jason Sanders) (作者), Edward Kandrot (作者), 聂雪军 (译者), 等 (译者) 哪里有賣的?網店或是實體店都可以?  

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For people who want a copy of the English version: http://www.physics.drexel.edu/~valliere/PHYS405/GPU_Story/CUDA_by_Example_Addison_Wesley_Jul_2010.pdf For my comments about the book in Chinese: http://book.douban.com/review/6737718/  

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因为视觉方面的一个优化问题需要实时,求解的时候需要用到GPU加速,参考的库是COCOLIB,因此需要简单学习一下CUDA编程。 此书作为一本新手的入门书(之前没有接触过GPU编程的人)非常合适,我花了10个小时的时间阅读中文译版,对于有疑问的地方则对照英文版,由于只是单纯使用...  

用户评价

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对Cuda工具链连做了一个不错的introduction。 可惜,看完后,我还是不太懂GPU的硬件框架。

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写的很好,就是有点老。

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有些性能提升的trick随着新的设备和CUDA版本已经变得无关紧要了

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简单,简洁,易懂。

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确实不错的CUDA introduction

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