NVIDIA Names University of Tennessee a CUDA Center of Excellence

UTK joins a select group of seven universities and research
organizations in the U.S. and abroad, including Harvard University,
Cambridge University and National Taiwan University, that are
designated as a CUDA Center of Excellence. More than 200 universities
worldwide teach the CUDA programming model within their curriculum.

CUDA is 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.

"This award of a CUDA Center of Excellence underscores ICL's
commitment to continue our work at the forefront of high performance,
scientific computing," said Jack Dongarra, ICL's director. "We are
very proud of this award and excited by the opportunity it affords to
pursue our research on NVIDIA's groundbreaking platform."

Mathematical algorithms are an essential component used by computers
to perform linear algebra computations, and ICL's years of experience
in developing open source, mathematical software packages and systems
such as LAPACK, ScaLAPACK, ATLAS, and PLASMA will be extended by the
establishment of this new center. In particular, ICL's work on Matrix
Algebra for GPU and Multicore Architectures (MAGMA), whose goal is to
create a new generation of linear algebra libraries that dramatically
cut processing times using hybrid GPU-CPU co-processing systems, will
be an area of focus.

"NVIDIA technologies are now well established in the forefront of
general purpose, parallel computing. Our work on the development of
Linear Algebra Libraries for CUDA-based Hybrid Architectures will
further enable and expand these technologies in the general area of
high-performance scientific computing. MAGMA, a subset of LAPACK for
CUDA-based Hybrid Architectures, is only a first step in this
direction," added Dongarra.

The potential size of the communities impacted by the success of this
new CUDA Center of Excellence is significant. A partial listing of the
peta-scale ready applications that rely on the kind of dense and
sparse linear algebra that the MAGMA libraries will encode includes:
quantum chemistry, multi-physics supernova simulation, nano-materials,
geophysics, computational mechanics, electronic structure of matter
and fluid dynamics.

Visit the CUDA Center of Excellence program pages for more
information.

About the Innovative Computing Laboratory (ICL)

The Innovative Computing Laboratory, part of the Electrical
Engineering and Computer Science department in UTK's College of
Engineering, is an academic world leader in enabling technology
research for scientific computing. With a focus on development of
numerical libraries that encode the use of linear algebra in
software, tools for performance analysis and benchmarking, and tools
for high performance, distributing computing, ICL is located at the
heart of the University of Tennessee, Knoxville campus and has been
part of the HPC community since 1989. For more information about ICL,
visit http://icl.eecs.utk.edu.

About NVIDIA

NVIDIA (NASDAQ: NVDA | Quote | Chart | News | PowerRating) 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.

Certain statements in this press release including, but not limited
to, statements as to: the impact and effect of the establishment of
the CUDA Center of Excellence; the benefits of NVIDIA's platforms and
technologies; 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 July 26, 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.

Copyright 2009 NVIDIA Corporation. All rights reserved. NVIDIA, the
NVIDIA logo, and CUDA 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.

For more information, contact:

Dr. Jack Dongarra
Innovative Computing Laboratory
 (865) 974-8295
dongarra@eecs.utk.edu

Andrew Humber
NVIDIA Corporation
(408) 486 8138
ahumber@nvidia.com

SOURCE: NVIDIA

mailto:dongarra@eecs.utk.edu
mailto:ahumber@nvidia.com

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