NVIDIA: GeForce GPUs fold 140x faster

Posted on Thursday, July 24 2008 @ 18:59 CEST by Thomas De Maesschalck
NVIDIA send out a press release today to boast about the performance of its GPUs in the Folding@Home project. ATI GPUs were already supported by Folding@Home for quite some time but NVIDIA GPUs recently also got F@H support. The green team claims its GeForce GPUs can do protein-folding simulations 140 times faster than some of today's traditional CPUs.
The Folding@home project is the latest example in the expanding list of non-gaming applications for graphics processing units (GPU). By running the Folding@home client on an NVIDIA(R) GeForce(R) GPU, protein-folding simulations can be done 140 times faster than on some of today's traditional CPUs.

"The impact of GeForce GPUs on protein folding simulations was immediate and dramatic," said Vijay Pande, associate professor of chemistry, Stanford University and director of the Folding@home project. "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."

The Folding@home project has amassed a large following of computer enthusiasts who compete in teams to churn through as many data units as possible. Their unofficial stats are organized by and displayed at ExtremeOverclocking.com. It took the NVIDIA internal folding team only two weeks to move ahead of 90% of all teams, using only 10 machines. After expanding the team to include more GPUs, the NVIDIA team has moved inside the top 0.1% of teams in all-time total production in less than a month.

Other folding teams are also seeing their status rise as a result of the NVIDIA Folding@home client.

"We saw the completed work double for our PC Games Hardware Folding team as a result of many team members installing the NVIDIA Folding client," said Carsten Spille, editor at PC Games Hardware. "We are passing many teams every day and we have finally reached our goal of being one of the top 100 folding teams in the world."

Protein Folding
Proteins assemble themselves through a process biologists call "folding." The goal of the Folding@home project is to understand protein folding, misfolding, and related diseases. Folding@home simulates protein folding in order to understand how proteins fold so quickly and reliably and to learn about what happens when proteins do not fold correctly. Diseases such as Alzheimer's disease, cystic fibrosis, BSE (Mad Cow disease), an inherited form of emphysema, and many cancers are believed to result from protein misfolding.


About the Author

Thomas De Maesschalck

Thomas has been messing with computer since early childhood and firmly believes the Internet is the best thing since sliced bread. Enjoys playing with new tech, is fascinated by science, and passionate about financial markets. When not behind a computer, he can be found with running shoes on or lifting heavy weights in the weight room.



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