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Written March 10, 2012 updated: April 16, 2012 Introduction Let's make a concurrent web scraper! We will use Haskell, becauseit allows easy concurrency. We will use the HXT library to do thescraping. If you want to follow the HXT bits, you should be comfortable with Arrows in Haskell. If you're not, take a moment to read up on Arrows. If you don't care about thescraping bits, jump straight to t
Who Should Read This BookWhy I Wrote This BookNavigating This BookOnline ResourcesConventions Used in This BookSafari® Books OnlineHow to ContactUsAcknowledgments 1.1. Introduction to Concurrency1.2. Introduction to AsynchronousProgramming1.3. Introduction to ParallelProgramming1.4. Introduction toReactiveProgramming (Rx)1.5. Introduction toDataflows1.6. Introduction to Multithreaded Program
Today we are excited to revealearly preview releases of two major projects the Akka team has been involved in to improve data streaming on the JVM: Akka Streams andReactive Streams. While the projects are related, we would like to spend a little time discussing how each is important to Typesafe and the Akka community. Both of these efforts address major challenges we have been seeing from develo
A collection of asynchronous patterns for nodejs and browsers. Made by Olivier Wietrich.Emitter All the projects below are based onEmitter in order to be consistent and easy to use and learn. component/emitter An implementation of the publish/subscribe patternsimilar to the EventEmitter of nodejs. Anemitter is really great to decouple your code.It allows you to define an action and to execute
Moore’s law is over. Modern computation is exploited by running processes on multiple cores.Ruby has always ignored thistrend, and the community didn’t put enough attention on thistopic.Ruby’s model for concurrency is based on threads.It was typical approach for object oriented languages, designed in the 90s. A thread is sequence of instructions that can be scheduled and executed in the conte
It’s time someone finally wrote a proper review ofSimon Marlow’s amazing book, Parallel and ConcurrentProgramming in Haskell. I am really not the right person to tackle this job objectively, because I have knownSimon for 20 years and I currently happen to be his boss at Facebook. Nevertheless, I fly my flag of editorial bias proudly, and in any case a moment’s glance atSimon’s book will convin
概要 （書きかけ） 「非同期処理」の話とからめて、GUI アプリケーション開発と非同期処理の話。GUI とディスパッチャー （書きかけ、清書時は別ページにするかも） 0.5秒固まったら「使いにくい」、3秒固まったら「バグだ」、10秒固まったら「パソコンが壊れた」と言われる。 ↑ 大げさかもしれないけど、かなり真実。 ・メッセージ ループ クリックとかキー ダウンのイベントは一度キューにたまってる（メッセージ ポンプ） ループでキューを見てはGUI の処理してるものがある。 WinForms とか WPF では隠ぺいされてるけども、内部的には、 while (GetMessage(ref msg, null, 0, 0)) { TranslateMessage(ref msg); DispatchMessage(ref msg); } DispatchMessage の内部で、最終的に
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Benchmarks Round Two: Parallel Go, Rust, D, Scala and Nimrod.I’m working on a modular random level generator, the essence of which usessimilarlogic to that of a roguelike. Last month I benchmarked the effectiveness of variousprogramming languages at asimplified level generation algorithm that roughly mimics the demands of my actual algorithm, using single-threaded code. I’m now running the same benchmark with concurrent code, to examine how easy the lan
concurrent (noun): Archaic. a rival or competitor. – dictionary.com Twolines that do not intersect are called parallellines. –Wikipedia In this piece, I disagree with Joe Armstrong and Rob Pike, basing my argument on the differences between vendingmachines and gift boxes (illustrated with drawings carefully prepared inMicrosoft Paint). Parallelism and concurrency are both veryfashionable not
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