For the last few years hardware manufacturers have driven increasingly powerful multi-core processors into consumer-grade computing hardware. Power which twenty years ago was restricted to a handful of government-funded research institutes is now available on the desktop, introducing many developers to the conundrum of how best to use it with languages implemented primarily for sequential environments. In this presentation we'll use code to explore the various traditional models for concurrent execution supported directly by Ruby - such as Threads, Processes and Fibres - and their limitations before turning to the approaches pioneered in other languages and seeing how many we can bring into the Ruby fold. Starting with some underlying theory we'll explore Coroutines, Actor Models, Petri Nets, Process Algebras (particularly CSP and the Pi-Calculus), Software Transactional Memory and distributed Map/Reduce algorithms. Along the way we'll present characteristic examples of these techniques drawn from a variety of languages including Go, Occam-Pi, Clojure and Erlang. We'll take some of these examples and demonstrate how to construct similar architectures in Ruby using its native features and libraries such as EventMachine or RevActor. This is a practical session, focused on increasing increasing the knowledge of concurrency and how to work with it. It should help people improve both the structure of applications and the performance of those applications on multi-core hardware.
Concurrency: Rubies, plural
Version: 1.0 (539) by Coby Randquist on 2014-09-06