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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Galaxy GeForce GTS 250 1GB
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Nvidia GeForce GTS 250 512MB
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Nvidia GeForce 9800 GT 512MB
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ATI Radeon HD 4850 512MB
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ATI Radeon HD 4770 512MB
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ATI Radeon HD 4830 512MB
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6354
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5559
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4046
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2572
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2299
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2000
0
1000
2000
3000
4000
5000
6000
7000
ppd (as measured through FahMon)
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ATI Radeon HD 4830 512MB
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ATI Radeon HD 4770 512MB
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Nvidia GeForce 9800 GT 512MB
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ATI Radeon HD 4850 512MB
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Nvidia GeForce GTS 250 512MB
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Galaxy GeForce GTS 250 1GB
Power at socket (W)
For analysis of these results, please read the
Results Analysis page.
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