How to Get Folding@Home Stats Image

This guide is to help you generate an image showing your Folding@Home stats, which you can use to put it in your sig in forums and boards. Thanks to oily_17 at techpowerup! forum for showing this guideline. If you dont know anything about, you should read my previous post about it or just visit Folding@Home website.

To get your stats paste this into your browser,only replace USER NAME with your username that you register with and TEAM NUMBER with your team number, if you dont have any team, put the team number as 0.

http://folding.extremeoverclocking.com/sigs/sigimage.php?un=USER NAME&t=TEAM NUMBER

Save your image and upload it to any image host to put it in your sig. The images DOES NOT AUTO UPDATE, you need to re-generate the image if you want to show your latest stats.

Folding@Home GPU Client for ATI Radeon HD 2XXX & HD 3XXX Series

Until now, the only graphics cards supported by the Folding@home GPU Client were ATI’s Radeon 16xx, 18xx and 19xx series cards. However, a new beta version is now available from HERE which will allow owners of HD 2xxx and 3xxx cards to contribute some of their graphics processing power to the project. Even if you do not own a supported graphics card, you can still download the standard CPU client and contribute your idle processing power – all you need is an internet connection.

Folding@Home (also known as FAH or F@H) is a distributed computing (DC) project designed to perform computationally intensive simulations of protein folding and other molecular dynamics (MD). It was launched on October 1, 2000, and is currently managed by the Pande Group, within Stanford University’s chemistry department, under the supervision of Professor Vijay Pande. Folding@Home is the most powerful distributed computing cluster in the world, according to Guinness, and one of the world’s largest distributed computing projects. The goal of the project is “to understand protein folding, misfolding, and related diseases.”