Seven Concurrency Models in Seven Weeks pdf epub mobi txt 電子書 下載 2024


Seven Concurrency Models in Seven Weeks

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Paul Butcher
Pragmatic Bookshelf
2014-6-30
300
USD 38.00
Paperback
9781937785659

圖書標籤: Concurrency  並發  Programming  計算機  編程  programming  軟件開發  concurrency   


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发表于2024-12-23

Seven Concurrency Models in Seven Weeks epub 下載 mobi 下載 pdf 下載 txt 電子書 下載 2024

Seven Concurrency Models in Seven Weeks epub 下載 mobi 下載 pdf 下載 txt 電子書 下載 2024

Seven Concurrency Models in Seven Weeks pdf epub mobi txt 電子書 下載 2024



圖書描述

Your software needs to leverage multiple cores, handle thousands of users and terabytes of data, and continue working in the face of both hardware and software failure. Concurrency and parallelism are the keys, and Seven Concurrency Models in Seven Weeks equips you for this new world. See how emerging technologies such as actors and functional programming address issues with traditional threads and locks development. Learn how to exploit the parallelism in your computer's GPU and leverage clusters of machines with MapReduce and Stream Processing. And do it all with the confidence that comes from using tools that help you write crystal clear, high-quality code. This book will show you how to exploit different parallel architectures to improve your code's performance, scalability, and resilience. Learn about the perils of traditional threads and locks programming and how to overcome them through careful design and by working with the standard library. See how actors enable software running on geographically distributed computers to collaborate, handle failure, and create systems that stay up 24/7/365. Understand why shared mutable state is the enemy of robust concurrent code, and see how functional programming together with technologies such as Software Transactional Memory (STM) and automatic parallelism help you tame it. You'll learn about the untapped potential within every GPU and how GPGPU software can unleash it. You'll see how to use MapReduce to harness massive clusters to solve previously intractible problems, and how, in concert with Stream Processing, big data can be tamed. With an understanding of the strengths and weaknesses of each of the different models and hardware architectures, you'll be empowered to tackle any problem with confidence. What You Need: The example code can be compiled and executed on *nix, OS X, or Windows. Instructions on how to download the supporting build systems are given in each chapter.

Seven Concurrency Models in Seven Weeks 下載 mobi epub pdf txt 電子書

著者簡介

Paul Butcher 資深程序員,涉獵廣泛,從單片機編碼到高級聲明式編程無所不精。Paul是一位少年天纔,8歲時就已經開始在8位機上編寫遊戲。最近幾年他開始癡迷於賽車,想要去叫闆漢密爾頓。除本書外,還著有在亞馬遜獲得全五星好評的《軟件調試修煉之道》。

黃炎 現供職於上海愛可生,從事數據庫高可用軟件開發。簡介和代碼一樣簡潔。


圖書目錄


Seven Concurrency Models in Seven Weeks pdf epub mobi txt 電子書 下載
想要找書就要到 小哈圖書下載中心
立刻按 ctrl+D收藏本頁
你會得到大驚喜!!

用戶評價

評分

隻能當做一個glance

評分

seven in seven這個係列真是雞肋,不如按著章節標題寫一篇綜述文章

評分

點到為止的書,學瞭一堆專有名詞:clojure居然自帶STM,go的csp太酷瞭,玩gpu是外星程序員,lambda arch很好(kappa纔是方嚮? ES/CQRS算是微服務裏麵的lambda arch,lambda arch算是big data裏麵的ES),居然沒有FRP。

評分

不知道是作者寫作抽象能力不行還是齣版要求所緻,這本書至少有2/3的內容是廢話。真正有用的concept,抽齣來差不多也就幾篇普通博客文章的長度,剩下的代碼示例,作用聊勝於無。actor部分還不如 http://bit.ly/2IGb7tH 這篇文章;另外作者你熱衷clojure我懂,但是講CSP還要用clojure做範例也太夾帶私貨瞭,先不說go,單從chromiume裏抽一個實現齣來分析都比這個好。總結起來就是,這書的內容結構和定位嚴重不符,讓人看起來莫名其妙。聽說7-week係列都是一個德行,看來以後可以直接跳過瞭。

評分

都是淺嘗輒止,講太多語言相關的東西瞭

讀後感

評分

## chap3 函数式编程 - clojure可以将串行操作并行化,使用clojure.core.reducers包 - 具有引用透明性的函数可以进行数据流(dataflow)式编程,使代码在其依赖的数据准备好时再运行 ## chap4 分离标识(identity)和状态(state) - 持久数据结构使用了共享结构(有点类似git...

評分

刚看完Thread and locks章节,感觉非常有收获。作为java水平停留在thinking in java的人,没想到java的并发控制竟然还有这么多学问,这些知识在网上往往是分散的不全面的,在此书中进行了整理对比。相信其他的章节也能带来同样的收获。  

評分

刚看完Thread and locks章节,感觉非常有收获。作为java水平停留在thinking in java的人,没想到java的并发控制竟然还有这么多学问,这些知识在网上往往是分散的不全面的,在此书中进行了整理对比。相信其他的章节也能带来同样的收获。  

評分

## chap3 函数式编程 - clojure可以将串行操作并行化,使用clojure.core.reducers包 - 具有引用透明性的函数可以进行数据流(dataflow)式编程,使代码在其依赖的数据准备好时再运行 ## chap4 分离标识(identity)和状态(state) - 持久数据结构使用了共享结构(有点类似git...

評分

刚看完Thread and locks章节,感觉非常有收获。作为java水平停留在thinking in java的人,没想到java的并发控制竟然还有这么多学问,这些知识在网上往往是分散的不全面的,在此书中进行了整理对比。相信其他的章节也能带来同样的收获。  

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