Distributed Computing In JavaScript

mapreduce

We’ve heard about the idea of using browsers as distributed computing nodes for a couple years now. It’s only recently, with the race towards faster JavaScript engines in browsers like Chrome that this idea seems useful. [Antimatter15] did a proof of concept JavaScript implementation for reversing hashes. Plura Processing uses a Java applet to do distributed processing. Today, [Ilya Grigorik] posted an example using MapReduce in JavaScript. Google’s MapReduce is designed to support large dataset processing across computing clusters. It’s well suited for situations where computing nodes could go offline randomly (i.e. a browser navigates away from your site). He included a JavaScript snippet and a job server in Ruby. It will be interesting to see if someone comes up with a good use for this; you still need to convince people to keep your page open in the browser though. We’re just saying: try to act surprised when you realize Hack a Day is inexplicably making your processor spike…

[via Slashdot]

Render Your Next Render Farm


You might remember [Janne]’s IKEA cluster. Now he’s got a couple of dream rigs in mind, so he started doing 3D renderings of them. Helmer 2 is designed to contain 24 video cards attached to six motherboards with quad core CPUs. (AMD has even taken enough interest to send him some cpus to get started) The rendering really comes in handy for designing the custom copper heat pipes and the aluminum cooling fin enclosure. Still bored, he put together a rendering of a 4 PetaFLOP machine using 2160 video cards.
Update: The Helmer 2 link is fixed.