Programming Massively Parallel Processors, Second Edition 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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David B. Kirk 作者

Morgan Kaufmann

译者

2012-12-28 出版日期

514 页数

USD 74.95 价格

Paperback

丛书系列

9780124159921 图书编码

Programming Massively Parallel Processors, Second Edition 在线电子书图书标签: 并行计算 CUDA GPU cuda programming parallel 计算机编程

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Programming Massively Parallel Processors, Second Edition 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Programming Massively Parallel Processors, Second Edition 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

Programming Massively Parallel Processors, Second Edition 在线电子书用户评价

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非常好的理论书籍，结合硬件讲解了GPU并行编程的关键点。书中给出了一些例子，可惜印刷错误不少，读的时候需要注意。

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少有的覆盖了一部分CUDA5内容的书

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比CUDA by example好清楚全面

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上个周教授扔了一本在我头上。。。还在啃。。。目前觉得还行

评分☆☆☆☆☆

上个周教授扔了一本在我头上。。。还在啃。。。目前觉得还行

Programming Massively Parallel Processors, Second Edition 在线电子书著者简介

Programming Massively Parallel Processors, Second Edition 在线电子书图书目录

Programming Massively Parallel Processors, Second Edition 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Programming Massively Parallel Processors, Second Edition 在线电子书图书描述

Programming Massively Parallel Processors: A Hands-on Approach shows both student and professional alike the basic concepts of parallel programming and GPU architecture. Various techniques for constructing parallel programs are explored in detail. Case studies demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs. Topics of performance, floating-point format, parallel patterns, and dynamic parallelism are covered in depth. This best-selling guide to CUDA and GPU parallel programming has been revised with more parallel programming examples, commonly-used libraries such as Thrust, and explanations of the latest tools. With these improvements, the book retains its concise, intuitive, practical approach based on years of road-testing in the authors' own parallel computing courses. Updates in this new edition include: new coverage of CUDA 5.0 , improved performance, enhanced development tools, increased hardware support, and more; increased coverage of related technology, OpenCL and new material on algorithm patterns, GPU clusters, host programming, and data parallelism; and two new case studies (on MRI reconstruction and molecular visualization) explore the latest applications of CUDA and GPUs for scientific research and high-performance computing.

Programming Massively Parallel Processors, Second Edition 在线电子书下载 mobi epub pdf txt 在线电子书下载

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