Stanford
University's distributed computing program Folding@home has become a major
force in researching 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. 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.
NVIDIA
NVIDIA (Nasdaq: NVDA) is the world leader in visual computing
technologies and the inventor of the GPU, a high-performance processor
which generates breathtaking, interactive graphics on workstations,
personal computers, game consoles, and mobile devices. NVIDIA serves the
entertainment and consumer market with its GeForce products, the
professional design and visualization market with its Quadro(R) products,
and the high-performance computing market with its Tesla(TM) products.
NVIDIA is headquartered in Santa Clara, California, and has offices
throughout Asia, Europe, and the Americas. NVIDIA's inaugural NVISION 08
conference will be held August 25-27, 2008 in San Jose, California.
Source: NVIDIA