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
bit-tech and Custom PC folding team (currently
ranked fifth in the world) by using the team number 35947. Your contribution is valued.
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Nvidia GeForce GTX 295 1,792MB
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Nvidia GeForce GTX 285 1GB
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Nvidia GeForce GTX 275 896MB
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Nvidia GeForce GTX 260-216 896MB
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Nvidia GeForce 8800GT 512MB
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Radeon HD 4890 1GB
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ATI Radeon HD 4870 1GB
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ATI Radeon HD 4850 512MB
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ATI Radeon HD 4870 X2 2GB
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ATI Radeon HD 5870
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15444
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8970
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8714
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7438
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5258
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2742
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2615
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2466
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2386
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0
0
2500
5000
7500
10000
12500
15000
ppd (as measured through f@hmon)
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Nvidia GeForce 8800GT 512MB
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Nvidia GeForce GTX 260-216 896MB
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ATI Radeon HD 4850 512MB
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Nvidia GeForce GTX 275 896MB
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Nvidia GeForce GTX 285 1GB
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ATI Radeon HD 4870 1GB
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Radeon HD 4890 1GB
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ATI Radeon HD 4870 X2 2GB
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Nvidia GeForce GTX 295 1,792MB
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ATI Radeon HD 5870
0
50
100
150
200
250
300
350
Power at socket (W)
For analysis of these and all other results, please read the
Results Analysis page.
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