ORNL to Use NVIDIA Fermi Architecture for Supercomputer
SANTA
CLARA, CA, Oct 2, 2009 - Oak Ridge National Laboratory (ORNL) announced
plans today for a new supercomputer that will use NVIDIA’s next generation
CUDA GPU architecture, codenamed “Fermi”. Used to pursue research in areas
such as energy and climate change, ORNL’s supercomputer is expected to be
10-times more powerful than today’s fastest supercomputer.
Jeff Nichols, ORNL associate lab director for Computing and Computational
Sciences, joined NVIDIA co-founder and CEO Jen-Hsun Huang on stage during
his keynote at NVIDIA’s GPU Technology Conference. He told the audience of
1,400 researchers and developers that “Fermi” would enable substantial
scientific breakthroughs that would be impossible without the new
technology.
“This would be the first co-processing architecture that Oak Ridge has
deployed for open science, and we are extremely excited about the
opportunities it creates to solve huge scientific challenges,” Nichols said.
“With the help of NVIDIA technology, Oak Ridge proposes to create a
computing platform that will deliver exascale computing within ten years.”
ORNL also announced it will be creating the Hybrid Multicore Consortium. The
goals of this consortium are to work with the developers of major scientific
codes to prepare those applications to run on the next generation of
supercomputers built using GPUs.
“The first two generations of the CUDA GPU architecture enabled NVIDIA to
make real in-roads into the scientific computing space, delivering dramatic
performance increases across a broad spectrum of applications,” said Bill
Dally, chief scientist at NVIDIA. “The ‘Fermi’ architecture is a true engine
of science and with the support of national research facilities such as ORNL,
the possibilities are endless.”
For more information on “Fermi”, NVIDIA’s next generation CUDA compute and
graphics architecture, please visit:
www.nvidia.com/fermi and for more information on ORNL, please visit
www.ornl.gov
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.
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