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"Tokyo Tech is constantly investigating future computing platforms and it
had become clear to us that to make the next major leap in performance,
TSUBAME had to adopt GPU computing technologies," said
Speaking to the ease of implementation, Matsuoka continued, "The entire upgrade was carried out in 1 week, and the TSUBAME supercomputer remained live throughout. This is an unprecedented feat in top-level supercomputing."
"We are honored to partner with Tokyo Tech -- world famous for their
supercomputing expertise and success," said
The first to achieve Top 500 ranking with an NVIDIA Tesla based GPU
cluster, Tokyo Tech, is one of hundreds of distinguished universities and
supercomputing centers that have adopted GPU based solutions for research.
Other leading centers include the National Center of Supercomputing
Applications (NCSA) at the
The Tesla S1070 1U GPU system is based on the NVIDIA CUDA(TM) parallel architecture. This architecture is accessible through an industry standard C language programming environment that allows developers and researchers to tap into the parallel architecture of the GPU more quickly and easily than any other solution shipping today.
For more information on NVIDIA Tesla S1070, please visit: http://www.nvidia.com/object/tesla_s1070
About 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(R) graphics products, the professional design and
visualization market with its Quadro(R) graphics products, and the high-
performance computing market with its Tesla(TM) computing solutions products.
NVIDIA is headquartered in
Certain statements in this press release including, but not limited to,
statements as to: the benefits of NVIDIA Tesla S1070 1U GPUs on the TSUBAME
supercomputer; the benefits of NVIDIA's CUDA architecture; and the
essentialness of the massively parallel GPU for supercomputing worldwide; 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; adoption of the CPU for
parallel processing; 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
(C) 2008 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, Tesla, GeForce and Quadro are trademarks 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.
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