PCGH as figurehead for success of GPU based Folding@Home
Nvidia released a statement about the advancements that were achieved by running the Folding@Home application on Nvidia GPUs. Therein PC Games Hardware, represented by our editor Carsten Spille, is quoted.
The press release explains that Folding@Home is way to support the research for "cures to life-threatening diseases such as cancer, cystic fibrosis, and Parkinson's disease by combining the computing horsepower of millions of processors to simulate protein folding.” Furthermore Nvidia says that a Geforce GPU can fold about 140 times faster than some traditional CPUs.
Vijay Pande, associate professor of chemistry, Stanford University and director of the Folding@Home project is cited: "The impact of GeForce GPUs on protein folding simulations was immediate and dramatic. Teams that are folding with GeForce GPUs are seeing their production skyrocket. Applying that kind of processing power to Folding@home changes the whole dynamic of the project and could significantly reduce the time it takes to carry out our biomedical research.”
Futhermore the statement of our editor Carsten Spille was cited, when he announced a significant increase in the output of the PCGH Folding@Home team with the release of the Beta version CUDA client for Folding@Home.
In the meantime the PCGH Folding@Home team is among the top 100 teams recorded at extreme-overclocking.com and is still rising.
Grafikkarten-Rangliste 2016: 32 Radeon- und Geforce-GPUs im Benchmarkvergleich [Oktober]