New Centers Recognized for GPU Computing Expertise; Add to Base of More Than 350 Universities and Training Centers Offering CUDA Courses, Conducting CUDA-Powered Research
SANTA CLARA, CA, Sep 22, 2010 (MARKETWIRE via COMTEX) --
NVIDIA today announced the addition of new research and educational
centers dedicated to leveraging the immense processing power of
graphics processing units (GPUs) to address today's most challenging
computing issues.
CUDA Research Centers are recognized institutions that embrace and
utilize GPU computing across multiple research fields. CUDA Teaching
Centers are institutions that have integrated GPU computing
techniques into their mainstream computer programming curriculum. The
new centers are:
CUDA Research Centers:
-- Barcelona Supercomputing Center, UPC (Spain)
-- Clemson University
-- HP Labs
-- Massachusetts General Hospital - Northeastern University
-- Swinburne University of Technology (Australia)
-- University of California at Los Angeles - UCLA
-- University of Warsaw (Poland)
CUDA Teaching Centers:
-- American University of Beirut (Lebanon)
-- Florida A&M University
-- Hood College
-- McMaster University (Canada)
-- University of California at Los Angeles - UCLA
-- University of Minnesota
-- University of North Carolina at Charlotte
Launched in June 2010, the CUDA Research Center program fosters
collaboration with research groups at universities and research
institutes that are expanding the frontier of massively parallel
computing. Among the benefits are exclusive events with key
researchers and academics, a designated NVIDIA(R) technical liaison
and access to specialized online and in-person training sessions.
"HP Labs conducts high-impact scientific research to address the most
important challenges and opportunities facing our customers and
society in the next decade," said Dr. Ren Wu, senior scientist at HP.
"The CUDA architecture represents the next evolution of
high-performance computing, and HP Labs has been working with NVIDIA
for some time to ensure that HP's professional computing products
leverage the latest GPU computing technologies and practices. HP Labs
is proud to be recognized by NVIDIA for our innovative work in
massively parallel computing and the value we are providing to
customers."
The CUDA Teaching Center program, also launched in June 2010, is the
first program of its kind to be developed and offered to universities
and colleges by a hardware vendor. The program has many benefits,
including the donation of teaching kits consisting of textbooks,
software licenses and CUDA(TM) architecture-enabled GPUs for teaching
lab computers, as well as academic discounts for additional hardware
if required.
"The addition of these new educational programs underscores the
tremendous interest in harnessing the power of GPUs to solve a
today's most pressing computing challenges," said Sanford Russell,
general manager of CUDA & GPU Computing at NVIDIA. "There are more
than 350 universities worldwide teaching the CUDA programming model
within their curriculum, and more than 100,000 programmers actively
developing applications that use the GPU. With the addition of these
new programs, we expect to see even broader interest and adoption of
GPU computing practices across a wide variety of industries
worldwide."
Existing CUDA Research Centers include: John Hopkins University,
Nanyang University (Singapore), Technical University of Ostrava
(Czech Republic), CSIRO (Australia), ICHEC (Ireland) and SINTEF
(Norway). Existing CUDA Teaching Centers include State University of
New York, Potsdam (U.S.), California Polytechnic State University,
San Luis Obispo, ITESM (Mexico), Czech Technical University (Czech
Republic), and Qingdao University (China).
These programs augment the CUDA Center of Excellence program, the
elite network of 11 institutes focused on advancing parallel
computing on the GPU. They are: Cambridge University, Chinese Academy
of Sciences, Georgia Institute of Technology, Harvard University,
University of Maryland, National Taiwan University, Tokyo Tech,
Tsinghua University, University of Illinois at Urbana-Champaign,
University of Tennessee, and University of Utah.
For more information on NVIDIA research activities and these
programs, please visit the NVResearch site.
Tags / Keywords:
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computing, CUDA, GPGPU, high performance computing, OpenCL,
DirectCompute, GPU Computing, GPU Compute, visual computing,
developers, bioscience, oil & gas, medical, finance
About NVIDIA
NVIDIA (NASDAQ: NVDA) awakened the world to the power
of computer graphics when it invented the GPU in 1999. Since then, it
has consistently set new standards in visual computing with
breathtaking, interactive graphics available on devices ranging from
tablets and portable media players to notebooks and workstations.
NVIDIA's expertise in programmable GPUs has led to breakthroughs in
parallel processing which make supercomputing inexpensive and widely
accessible. The company holds more than 1,100 U.S. patents, including
ones covering designs which are fundamental to modern computing. For
more information, see www.nvidia.com.
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