Since 2000, Folding@home (FAH) has lead to a major jump in the capabilities of molecular simulation. By joining together hundreds of thousands of PCs throughout the world, calculations, which were previously considered impossible, have now become routine. FAH has targeted the study of protein folding and protein folding diseases, and numerous scientific advances have come from the project.

In 2006, we began looking forward to another major advance in capabilities. This advance utilizes the new, high performance Graphics Processing Units (GPUs) from ATI to achieve performance previously only possible on supercomputers. With this new technology, as well as the new Cell processor in Sony's PlayStation 3, we will soon be able to attain performance on the 100 gigaflop scale per computer. With this new software and hardware, we will be able to push Folding@home a major step forward.
Now in 2008, we have developed a second generation GPU core (GPU2). This core is much more sophisticated than the original, with higher reliability, ease of use, and much more scientific calculation capabilities.

Our goal is to apply this new technology to dramatically advance the capabilities of Folding@home, applying our simulations to further study of protein folding and related diseases, including Alzheimer's Disease, Huntington's Disease, and certain forms of cancer. With these computational advances, coupled with new simulation methodologies to harness the new techniques, we will be able to address questions previously considered impossible to tackle computationally, and make even greater impacts on our knowledge of folding and folding related diseases.

Requirements:
* GeForce, Quadro, or Tesla (G80 or later for the most part)
* ForceWare 174.55 or later
* 32-bit Windows operating system

This is a beta release and we expect there will be bugs, flaws, problems, etc. To minimize problems, we have been testing the client and cores extensively in house and they run well there. However, it's our experience that running in the controlled setup in our lab and running "out in the wild" are very different situations.

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