Programming Massively Parallel Processors pdf epub mobi txt 电子书下载 2025

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出版者:Morgan Kaufmann

作者:David B. Kirk

出品人:

页数:280

译者:

出版时间:2010

价格:USD 69.95

装帧:Paperback

isbn号码:9780123814722

丛书系列:

图书标签:

GPU
并行计算
Parallel
并行
编程
计算机
CUDA
Processors
Massively Parallel Processing
Parallel Computing
GPGPU
CUDA
OpenCL
Heterogeneous Computing
High-Performance Computing
Computer Architecture
Programming
Scientific Computing

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具体描述

Multi-core processors are no longer the future of computing-they are the present day reality. A typical mass-produced CPU features multiple processor cores, while a GPU (Graphics Processing Unit) may have hundreds or even thousands of cores. With the rise of multi-core architectures has come the need to teach advanced programmers a new and essential skill: how to program massively parallel processors.

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.

*Describes computational thinking techniques that will enable you to think about problems in ways that are amenable to high-performance parallel computing.

*Utilizes CUDA (Compute Unified Device Architecture), NVIDIA's software development tool created specifically for massively parallel environments.

*Shows you how to achieve both high-performance and high-reliability using the CUDA programming model as well as OpenCL.

作者简介

目录信息

读后感

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这本书非常罗嗦，既不很通俗也不很深入。更要命的是，翻译得过于粗糙了。图7-9整个给翻译丢了不说，好多地方都是错字，还有些根本读不下来啊。比如，7.3节，“通过设置最重要的尾数位来表示”。哪位是“最重要的尾数位”啊？most significant mantissa bit是尾数的最高有效位...

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适合初中级读者。比较喜欢书的整体结构和安排，比较注重并行处理思想的贯穿。在每章节都有一些核心思想的深入，比如延迟隐藏技术，内存使用方面有详细的讲解。不足之处是设计内容比较广泛，因此基本每章的内存都是点到为止，没有具体的深入分析。后面的几个实例还是...

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CUDA生在NV，幼年长在UIUC，这本书的那个华人作者虽然说不是CUDA唯一的那个father，但也可以讲是one of 把CUDA养大的人。你唯一可以诟病的是它没有手把手的教你写code，但那么做的书都真的太浅了。这本书可以说无遗漏的把基础都带了一遍而且很明白。至少在我个人眼里，这本书...

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用户评价

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作者配套视频课程：https://www.coursera.org/course/hetero?action=enroll&sessionId=973470

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书写的不错，配套coursera课程简直是重点不清的典范，一个lecture下来都忘了开始他想讲啥。。。

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reading assignment. 超棒的！写的很浅显而且相当风趣。突然对NVIDIA好感加分了哎！这个春假唯一的收获就是【应该】能把这本书看完……_(:з」∠)_…… 【读后感】CUDA目前漏洞百出用的人又少，兼容性差，同样是基于kernel的并行计算，OpenCL用的人多的多，可能会好调试的多，所以为嘛要学CUDA嘛……

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这门课是我在Coursera拿到的第一个State of Acomplishment

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薄薄一本还写得这么详细。。。