"We expect that porting Einstein@Home to GPUs will increase the throughput of our computing by an order of magnitude," said Bruce Allen, director of the Max Plank Institute for Gravitational Physics and Einstein@Home Leader for the LIGO Scientific Collaboration. "This would permit deeper and more sensitive searches for continuous-wave sources of gravitational waves."
"Parallel processing is the key to enabling visual computing, whether in the home, office or research lab, and the CUDA-accelerated GPU is the leading engine behind this trend. Distributed computing is an ideal application for parallel processing, so it's no surprise that these amazing applications are taking advantage of the GPU's unprecedented computational power" said Michael Steele, General Manager of Visual Consumer Solutions at NVIDIA. "NVIDIA GPUs are transforming the way we work, play, live and discover."
To download the NVIDIA SETI@home client visit http://setiathome.berkeley.edu/cuda.php. For more information on BOINC visit http://boinc.berkeley.edu/. For more information on the Einstein@Home visit http://einstein.phys.uwm.edu. For more information on GPUGRID visit http://www.gpugrid.net/.
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 a
Copyright©2008 PR Newswire.
All rights reserved