深入理解并行编程

Name: 深入理解并行编程
Availability: InStock
Rating: 8.8 (46 reviews)
ISBN: 9787121315084

[美] Paul E.Mckenney（保罗·E·麦肯尼)

出版社

电子工业出版社

出版时间

2017-07-01

ISBN

9787121315084

评分

★★★★★

标签

工业技术

AI导读

核心看点

从硬件视角剖析并行编程难题
深度解析RCU机制与内存屏障
涵盖并行软件验证与实时计算

适合谁读

对并行编程感兴趣的大学生研究生
需深度优化性能的软硬件工程师
操作系统内核开发工程师

读前提醒

翻译质量参差不齐，建议对照原文
内容偏向底层硬件，门槛较高
需具备Linux内核基础方能读懂

读者共识

内容经典深刻，值得反复研读
排版存在瑕疵，阅读体验略差
作者功力深厚，被誉为大师之作

本导读基于书籍简介、目录、原文摘录、短评和书评生成，不等同于全文精读。

精彩摘录

"Therefore, if you wish to argue that parallel programming will remain as difficult as it is currently perceived by many to be, it is you who bears the burden of proof, keeping in mind the many centuries of counter-examples in a variety of fields of endeavor."
"the primary goals of parallel pro- gramming are performance, productivity, and gener- ality."
"This book is intended primarily for developers working near the bottom of the stack, where performance and generality are paramount concerns."
"It is important to keep in mind that parallelism is but one way to improve performance. Other well- known approaches include the following, in roughly increasing order of difficulty: 1. Run multiple instances of a sequential applica- tion. 2. Construct the application to make use of exist- ing paral"
"Most people have an intuitive understanding that passing messages between systems is considerably more expensive than performing simple calcula- tions within the confines of a single system. How- ever, it is not always so clear that communicat- ing among threads within the confines of a single share"
"shared-memory parallel programs must normally deal with no obstacle worse than a cache miss, while a distributed parallel program will typically incur the larger network communication latencies."
"3.3.3 Light, Not Electrons Although the speed of light would be a hard limit, the fact is that semiconductor devices are limited by the speed of electrons rather than that of light, given that electrons in semiconductor materials move at between 3% and 30% of the speed of light in a vacuum."