Folding@home

Creator: Stanford University

Folding@home is possibly the most successful GPGPU application at the moment, with ATI pioneering GPU-based folding years ago with its Radeon X1000 range of GPUs. Since then, folding has spread to the point where Nvidia has supported folding on all GPUs since its GeForce 8-series.

Folding is a client-based distributed computing application that simulates protein folding to aid our understanding of complex diseases such as Alzheimer's, Mad Cow Disease (BSE), CJD, ALS, Huntington's, Parkinson's disease, and many Cancers and cancer-related syndromes. To add some interest to the furthering of scientific and medical research doesn't hold any interest for you, Stanford also has team- and user-based leaderboards, so folding is also a competition.

To fold on your GPU, visit the High Performance Client page and download the latest version. The client downloads work units (aka 'projects') from Stanford, and each work unit is worth a certain amount of points.

You can monitor your folding progress via the FahMon tool, which will calculate how quickly your card can get through the current work unit and extrapolates a points per day (ppd) figure. You can join the Custom PC and bit-tech Folding team (currently ranked fifth in the world) by using the team number 35947. Your contribution is valued.


Umm, yeah, it looks like everything is working as it should.

Power Consumption (Idle and Gaming)

We tested the power consumption with a Watts Up? Pro power meter, using the device to record the total system power consumption at the wall socket, while we ran three sets of four runs of Crysis in DX10 at 1920x1200.

Using the data recorded by the meter we could determine the peak output, the consistent minimum and the average load over the entire run of tests. As both ATI and Nvidia test benches are now identical Core i7 systems, we can accurately determine the apples to apples difference of what power both PCs take to run.



Nothing to see here, move along.