NVIDIA Powers Titan, World's Fastest Supercomputer For Open

NVIDIA Powers Titan, World's Fastest Supercomputer For Open
Scientific Research 
Oak Ridge National Lab's 20+ Petaflops System -- Powered by
18,000-Plus NVIDIA Tesla K20 GPUs -- Paves Path to Efficient,
Affordable Exascale Computing 
SANTA CLARA, CA -- (Marketwire) -- 10/29/12 --   Titan, the world's
fastest open-science supercomputer,(1) was completed this month at
Oak Ridge National Laboratory in Tennessee, opening new windows of
opportunity into the exploration of some of the world's toughest
scientific challenges.  
Titan's peak performance is more than 20 petaflops -- or 20 million
billion floating-point operations per second -- about 90 percent of
which comes from 18,688 NVIDIA(R) Tesla(R) K20 GPU accelerators.
These are based on the NVIDIA Kepler(TM) architecture, the fastest,
most efficient, highest-performance computing architecture ever
built. 
Researchers use ever faster supercomputers to accelerate the pace of
discovery and innovation across a range of scientific fields of
inquiry -- from developing more efficient engines and higher
capacity, lighter weight batteries, to studying climate change and
finding cures for disease. Titan is a milestone on the path to
exascale computing, which targets building a 1,000 petaflops
supercomputer.  
Titan is operated by Oak Ridge National Laboratory, part of the U.S.
Department of Energy's network of research labs, as an open-science
system. This means it is available to researchers from academia,
government laboratories, and a broad range of industries who will use
Titan to model physical and biological phenomena and seek
breakthroughs faster than possible by experimentation alone. 
Supported by the energy efficiency and cost-effectiveness of the
Tesla K20 GPU, Titan is more than 10 times faster and five times more
energy efficient than its predecessor, the 2.3-petaflops(2) Jaguar
system, while occupying the same floor space. Had Oak Ridge upgraded
Jaguar by simply expanding its CPU-based architecture, the system
would be more than four times its current size and consume more than
30 megawatts of power.(3)  
"Basing Titan on Tesla GPUs allows Oak Ridge to run phenomenally
complex applications at scale, and validates the use of accelerated
computing to address our most pressing scientific problems," said
Steve 
Scott, chief technology officer of the GPU Accelerated
Computing business at NVIDIA. "You simply can't get these levels of
performance, power- and cost-efficiency with conventional CPU-based
architectures. Accelerated computing is the best and most realistic
approach to enable exascale performance levels within the next
decade." 
Titan development began three years ago with Oak Ridge's decision to
upgrade Jaguar, the previous open science system leader and a former
world No. 1 most powerful supercomputer. The upgrade includes the
Tesla K20 GPU accelerators, a replacement of the compute modules to
convert the system's 200 cabinets to a Cray XK7 supercomputer, and
710 terabytes of memory. 
"Science and technology have always been our primary goal, and Titan
is a groundbreaking tool that will allow researchers worldwide to
leverage GPU-accelerated computing to make unparalleled
breakthroughs," said Jeff Nichols, associate laboratory director for
computing and computational sciences at Oak Ridge National
Laboratory. "The new Tesla GPU accelerators offer the performance and
energy efficiency that enable Titan to scale to unprecedented
performance levels without consuming the energy equivalent of a small
city."  
About NVIDIA Tesla GPUs 
 NVIDIA Tesla GPUs are massively parallel
accelerators based on the NVIDIA CUDA(R) parallel computing platform
and programming model. Tesla GPUs are designed from the ground up for
power-efficient, high performance computing, computational science
and supercomputing, delivering dramatically higher application
acceleration for a range of scientific and commercial applications
than a CPU-only approach.  
More information about NVIDIA Tesla GPUs is available at the Tesla
website. To learn more about CUDA or download the latest version,
visit the CUDA website. More NVIDIA news, company and product
information, videos, images and other information is available at the
NVIDIA newsroom. Follow us on Twitter at @NVIDIATesla. 
About NVIDIA
 NVIDIA (NASDAQ: NVDA) awakened the world to computer
graphics when it invented the GPU in 1999. Today, its processors
power a broad range of products from smartphones to supercomputers.
NVIDIA's mobile processors are used in cell phones, tablets and auto
infotainment systems. PC gamers rely on GPUs to enjoy spectacularly
immersive worlds. Professionals use them to create 3D graphics and
visual effects in movies and to design everything from golf clubs to
jumbo jets. And researchers utilize GPUs to advance the frontiers of
science with high performance computing. The company has more than
5,000 patents issued, allowed or filed, including ones covering ideas
essential to modern computing. For more information, see
www.nvidia.com. 
Certain statements in this press release including, but not limited
to, statements as to: the impact and benefits of NVIDIA Tesla GPUs
and the effects of the company's patents on modern computing 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: global economic conditions; our
reliance on third parties to manufacture, assemble, package and test
our products; the impact of technological development and
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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,
or SEC, including its Form 10-Q for the fiscal period ended July 29,
2012. Copies of reports filed with the SEC are posted on the
company's 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 futu
re events or circumstances. 
Copyright 2012 NVIDIA Corporation. All rights reserved. NVIDIA, the
NVIDIA logo, CUDA, Kepler 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
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availability, and specifications are subject to change without
notice. 
(1) Based on June 2012 Top500 list. 
 (2) November 2011 Top500 List
(http://top500.org/list/2011/11/100) - Jaguar = 2.3 petaflops peak
performance @ 7 megawatts; Titan's peak performance will be in excess
of 20 petaflops, consuming approximately 9 megawatts of electrical
power. 
 (3) Assuming the same peak performance with a system
composed of dual-CPU nodes, using the same CPU as in Titan. 
Image Available: http://www2.marketwire.com/mw/frame_mw?attachid=2134920 
Image Available: http://www2.marketwire.com/mw/frame_mw?attachid=2134923 
For further information, contact:
George Millington 
NVIDIA Public Relations
(408) 562-7226
gmillington@nvidia.com 
 
 
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