Concurrency with Actors, Goroutines & Ruby - igvita.com
By Ilya Grigorik on December 02, 2010 The world of concurrent computation is a complicated one. We have to think about the hardware, the runtime, and even choose between half a dozen different models and primitives: fork/wait, threads, shared memory, message passing, semaphores, and transactions just to name a few. Hence, not surprisingly, when Bruce Tate asked Matz, in an interview for his recent
Agent: Go-Like Concurrency in Ruby — SitePoint
Concurrency and parallelism are hard. With the traditional threading model, a developer has to constantly ensure threads are not in conflict, which is a very difficult task. The team behind Go implemented fantastic concurrency primitives within the language that make reasoning about concurrent code far easier. Fortunately, all that goodness is no longer locked up inside Go; there’s now a library f
Concurrency Patterns in Ruby: Futures :: tx.pignata.com
Concurrency Patterns in Ruby: Futures 11/19/12 — Concurrency! Threads! Ooh, scary! Sometimes we just need to reach for patterns that help us reason about what we're asking our computers to do. Let's take a closer look at one pattern called futures. Being for the Benefit of Future Developer 11/11/12 — A software project passes through the hands of many different developers in its lifetime. How can
Matz is not a threading guy
Matz is not a threading guy Published on November 08, 2012 by Jesse Storimer I attended my very first Rubyconf last week. There were certainly some common themes that I kept hearing over and over again throughout the course of the conference. Among other things, there was JRuby, threading, the GVL, and MRI 2.0. We got to see a few talks about the new features in MRI 2.0. One of the oft-discussed f
Rubyã§ç°¡å˜ã«ãƒ¯ãƒ¼ã‚¯ãƒ‘イルを実装 - Hello, world! - s21g
ワークパイル（Work pile）ã¯ã€ä¸¦åˆ—処ç†ã®ç‚ºã®ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã®ä¸€ç¨®ã§ã™ã€‚ lucille 開発日記: マルãƒã‚¹ãƒ¬ãƒƒãƒ‰åŒ–: ワークパイル ç°¡å˜ã«äº‘ã£ã¦ã—ã¾ãˆã°ã€ãƒ¯ãƒ¼ã‚¯ãƒ‘イルã¯ã‚µãƒ¼ãƒ/クライアント機構ã¨ä¼¼ãŸã‚ˆã†ãªã‚‚ã®ã§ã€ã‚¸ãƒ§ãƒ–を処ç†ã™ã‚‹ã‚¹ãƒ¬ãƒƒãƒ‰éƒ¨åˆ†ã§ã¯ãƒžã‚¹ã‚¿ãƒ¼ã‚¹ãƒ¬ãƒƒãƒ‰ã‹ã‚‰ä»•äº‹(ジョブ)ã‚’å—ã‘å–ã£ã¦å‡¦ç†ã—ã€ä»•äº‹ãŒãªããªã‚‹ã¾ã§ãƒ«ãƒ¼ãƒ—ã™ã‚‹ã¨ã„ã†ã‚‚ã®ã§ã™ã€‚ ã„ã‚ゆる生産者消費者å•é¡Œã‚’解決ã™ã‚‹æ‰‹æ³•ã®ä¸€ã¤ã§ã™ã。 ã¡ã‚‡ã£ã¨ã‚µãƒ³ãƒ—ルコードを見ã¦ã‚‚らã£ãŸã»ã†ãŒã¯ã‚„ã„ã‹ã‚‚。 workpile.rb 1 require 'thread' 2 3 class Workpile 4 def initialize(num_workers) 5 @queue = Queue.new 6 @workers = ThreadGroup.new 7 8 # Spawn worker threads 9 num
Ruby, Concurrency, and You
A big topic in the world of Ruby this year has been how to get more out of Ruby, specifically, how to get more done in parallel. The topic of concurrency, though, is one fraught with misunderstanding. This is largely due to the complexities of not only thinking about multiple things at once, but the limitations of Ruby implementations and operating systems. In this article, I’ll lay the groundwork
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Code Safari: Forks, pipes, and the Parallel gem — SitePoint
https://www6.software.ibm.com/developerworks/education/l-rubysocks/l-rubysocks-a4.pdf
A Treasure Chest of Rubyisms: Web Workings With Ruby - Concurrency Part 1
http://www.jitu.org/~tko/doc-jp/java-ruby/index.html
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