NVIDIA and National Taiwan University Aim to Unlock the Secrets of the Universe

A research team at National Taiwan University (NTU) is achieving breakthrough results in learning about the early evolution of the universe by harnessing NVIDIA® Tesla™ parallel processors -- which provide the computational horsepower of an IBM BlueGene/L supercomputer, at just 1% the cost and 10% the power consumption.

The team, led by Ting-Wai Chiu, Professor of Physics and Associate Director of the Center for Quantum Science and Engineering (CQSE), is studying the interactions of sub-atomic particles, to learn about the origins of the universe, which requires enormous computational power.

NTU is carrying out this work on the first GPU-based supercomputer in Taiwan, the 128-GPU cluster at CQSE, which uses 16 NVIDIA Tesla S1070 1U systems and 64 Tesla C1060 processors. The system plays a key role in large-scale computations for quantum physics, ranging from the strong interaction at the subatomic scale to the strongly correlated electrons in condensed matter physics, and to the cosmology at the astronomical scale.

"We are excited to see our GPU-based cluster outperform many conventional supercomputers in both cost and energy use," said Chiu. "With our GPU-enabled supercomputer, we are delivering 15 teraflops at a price of US$200,000, 1% the cost of a conventional supercomputer like IBM BlueGene/L."

"It's deeply rewarding to see NVIDIA Tesla GPUs helping professionals and researchers achieve amazing breakthroughs in their work," said Andy Keane, general manager, Tesla business, NVIDIA. "The exceptional speed-up being seen by NTU has the ability to dramatically accelerate the research into one of life's biggest and most complex scientific challenges."

NVIDIA Tesla GPUs are based on CUDA™, NVIDIA's computing architecture that enables its GPUs to be programmed using industry standard programming languages and APIs, opening up their massive parallel processing power to a broad range of applications beyond graphics. The CQSE has developed highly efficient CUDA-optimized codes for the computationally challenging problems in QCD, quantum spin systems, and astrophysics.

In addition, the lattice QCD group (TWQCD) based at National Taiwan University is now the first group in the world to use a GPU cluster to perform large-scale simulations of lattice QCD with exact chiral symmetry.

For more information about NVIDIA Tesla GPUs, please visit: www.nvidia.com/tesla

NVIDIA (NASDAQ: NVDA) awakened the world to the power of computer graphics when it invented the graphics processing unit (GPU) in 1999. Since then, it has consistently set new standards in visual computing with breathtaking, interactive graphics available on devices ranging from portable media players to notebooks to workstations. NVIDIA's expertise in programmable GPUs has led to breakthroughs in parallel processing which make supercomputing inexpensive and widely accessible. Fortune magazine has ranked NVIDIA #1 in innovation in the semiconductor industry for two years in a row. For more information, see www.nvidia.com.

© 2009 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, CUDA, and Tesla are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability, and specifications are subject to change without notice.

Certain statements in this press release including, but not limited to, statements as to: the benefits, features, impact, performance and capabilities of NVIDIA Tesla technology and CUDA architecture are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: development of more efficient or faster technology; design, manufacturing or software defects; the impact of technological development and competition; changes in consumer preferences and demands; customer adoption of different standards or our competitor's products; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems as well as other factors detailed from time to time in the reports NVIDIA files with the Securities and Exchange Commission including its Form 10-Q for the fiscal period ended October 25, 2009. Copies of reports filed with the SEC are posted on our website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.

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