SANTA CLARA, CA -- 11/04/09 --
NVIDIA Corp. today recognized the
University of Tennessee, Knoxville's (UTK's) Innovative Computing
Laboratory (ICL) as a CUDA Center of Excellence, noting its adoption of the
CUDA programming model in its curriculum, as well as its pioneering
research into the development of linear algebra libraries for the
high-performance computing community.
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) 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.
© 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
