Faster than traditional CPU, NVIDIA 140 times improve research speed

GeForce GPU (graphics processing unit) run Folding @ home protein modeling speed Stanford distributed computing project Folding @ home through the power of millions of processors used in its calculation performance protein folding simulation of the work, becoming engaged in research on cancer, cystic fibrosis, and Parkinson's syndrome and other deadly diseases treatment team in an important force. Folding @ home project is a GPU (graphics processing unit) are increasingly being applied to non-gaming a latest example. NVIDIA GeForce GPU (graphics processing unit) Folding @ home runs on the client's actual results show that protein folding simulation work faster than today's CPU 140 times faster.

Associate Professor, Stanford University and head of the Folding @ home Project Director Vijay Pande said: "GeForce GPU (graphics processing unit) on protein folding simulation of impact is significant and far-reaching.

Use GeForce GPU (graphics processing unit) to simulate protein folding team achieved its productivity surge in the extreme. The Folding @ home application in such a powerful processing performance has revolutionized this project greatly shortened our time to bio-medical research Institute. ”

In order to deal with as much data as possible, the Folding @ home project brings together a large number of team competition computer enthusiasts.

Extremeoverclocking.com website statistics and shows the team's non-official statistics. NVIDIA (yingweida) internal collapse simulation team in just 10 machines, spent two weeks beyond the 90% of the team. NVIDIA (yingweida) team bought more GPU (graphics processing unit), a full-time production efficiency, the team in less than a month's time among the only 0.1% of the total number of top-level team.

Other protein folding team uses the NVIDIA Folding @ home client also implements its rankings.

The PC Games Hardware "Edit Carsten Spille said: in many players installed NVIDIA Folding client, our PC Games Hardware protein folding team realized in the same time doubling the amount of work.

Every day we can surpass many of the team, and ultimately our world top 100 folding team. ”

Protein folding, protein can be a way to come together, but this approach is the biologists of the so-called "fold".

Folding @ home project's goal is to understand protein folding, misfolding, and related diseases. Folding @ home simulation of protein folding is to learn how to quickly and reliably protein folding and protein folding is not correct. ' Ear holzheimer's disease, cystic fibrosis, mad cow disease (BSE), genetic emphysema and a variety of cancer and other diseases were considered by the Protein Misfolding.