By Folding@home is a distributed computing project run by Stanford University. By running software in the background, people around the globe can combine their computing power to help scientists understand how proteins fold. This is critical to understanding diseases such as Alzheimer’s, ALS, Huntington’s, Parkinson’s disease and many cancers.
Since NVIDIA started working with the Stanford University Folding@home team, NVIDIA GPUs have grown to the point that they now contribute over 45% of the x86 TeraFLOPS while accounting for less than 4% of the active processors.
With the introduction of Fermi and the GeForce GTX 400 GPUs, we recognized we had the opportunity to raise the bar even higher, and began working closely with the Folding@home team to jointly craft an efficient client tuned to the Fermi architecture. Now that client is available in Beta, and it’s the first Folding@home GPU client to achieve more than 1 microsecond per day performance. We look forward to continued positive collaboration with the Folding@home team, and know that with the help of the thousands of volunteers that contribute to the project, we’re shedding light on important questions that will hopefully lead to advances in medicine and health for all of us.
For more information about the Folding@home project and to download the client, please visit: http://foldingforum.org/viewtopic.php?f=24&t=14671
Tagged: CUDA, Folding@home
