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Headline Maker: NVIDIA Announces a New Class in Processors
(M2 PressWIRE Via Thomson Dialog NewsEdge)
RDATE:21062007
Market Gainer is quickly emerging as the one stop shop for
international small-cap investors looking to stay a step ahead of the
markets. Activity on the NASDAQ market has brought this company to the
attention of our research team. NVIDIA Corporation (NASDAQ:NVDA), is
responding to the attention of investors. Our goal is to create a
community of international investors who consistently and effectively
capitalize on the enormous gains the small-cap Canadian and American
exchanges offer.
June 20 - High-performance computing in fields like the geosciences,
molecular biology, and medical diagnostics enable discoveries that
transform billions of lives every day. Universities, research
institutions, and companies in these and other fields face a daunting
challenge: as their simulation models become exponentially complex, so
does their need for vast computational resources.
(Photo: http://www.newscom.com/cgi-bin/prnh/20070620/AQW150) (Logo:
http://www.newscom.com/cgi-bin/prnh/20020613/NVDALOGO)
NVIDIA took a giant step in meeting this challenge with today's
announcement of a new class of processors based on a revolutionary new
graphics processing unit (GPU). Under the NVIDIA Tesla(TM) brand,
NVIDIA will offer a family of GPU computing products that will place
the power previously available only from supercomputers in the hands of
every scientist and engineer. Today's workstations will be transformed
into "personal supercomputers."
"Today's science is no longer confined to the laboratory; scientists
employ computer simulations before a single physical experiment is
performed. This fundamental transition to computational methods is
forging a new path for discoveries in science and engineering," said
Jen-Hsun Huang, president and CEO of NVIDIA. "By dramatically reducing
computation times, in some cases from weeks to hours, NVIDIA Tesla
represents the single most significant disruption the high-performance
computing industry has seen since Cray 1's introduction of vector
processing."
The Tesla family of GPU computing solutions span from PCs to large
scale server clusters. The new family includes: -- NVIDIA Tesla GPU
Computing Processor, a dedicated computing board that scales to
multiple Tesla GPUs inside a single PC or workstation. The Tesla GPU
features 128 parallel processors and delivers up to 518 gigaflops of
parallel computation. The GPU computing processor can be used in
existing systems, partnered with high-performance CPUs.
-- NVIDIA Tesla Deskside Supercomputer, a scalable computing system
that includes two NVIDIA Tesla GPUs and attaches to a PC or workstation
through an industry-standard PCI-Express connection. With multiple
deskside systems, a standard PC or workstation is transformed into a
personal supercomputer, delivering up to 8 teraflops of compute power
to the desktop.
-- NVIDIA Tesla GPU Computing Server, a 1U server housing up to eight
NVIDIA Tesla GPUs, containing more than 1000 parallel processors that
add teraflops of parallel processing to clusters. The Tesla GPU Server
is the first server system of its kind to bring GPU computing to the
datacenter.
Computing on NVIDIA Tesla is now available to any software developer
through the world's only C-language development environment for the
GPU. NVIDIA CUDA(TM) is a complete software development solution that
includes a C-compiler for the GPU, debugger/profiler, dedicated driver,
and standard libraries. CUDA simplifies parallel computing on the GPU
by using the standard C language to create programs that process large
quantities of data in parallel. Programs written with CUDA and run on
Tesla are able to process thousands of threads simultaneously,
providing high computational throughput to enable the GPU to quickly
solve complex, computational problems. The NVIDIA CUDA development
environment is currently supported on the Linux and Microsoft Windows
XP operating systems.
Most applications that require massive compute power can leverage the
power of NVIDIA Tesla to make parallel computing power more pervasive
and affordable. CUDA's recent success can be seen in both the academic
and the application development communities. In addition to adoption by
leading universities that are pioneering new courses in parallel
computing, CUDA is being actively used by thousands of developers and
scientists in applications from molecular simulation to seismic
analysis to medical device design.
"Many of the molecular structures we analyze are so large that they can
take weeks of processing time to run the calculations required for
their physical simulation," said John Stone, senior research programmer
at the University of Illinois Urbana-Champaign. "NVIDIA's GPU computing
technology has given us a 100-fold increase in some of our programs,
and this is on desktop machines where previously we would have had to
run these calculations to a cluster. NVIDIA Tesla promises to take this
forward with more flexible computing solutions."(1)
"Geophysical and seismic analysis has historically been a batch process
that takes many, many hours," said Steve Briggs, vice president of
systems integration at Headwave, a Houston-based geophysical
visualization company. "Without inventions like Tesla and CUDA GPU
computing technology, discoveries like Jack Field, where a large oil
reserve was detected 27,000 feet beneath the Gulf of Mexico, simply
would never have been found. NVIDIA's announcement today is going to
make discoveries of this and even larger magnitude more possible."(2)
"Running electromagnetic simulations using NVIDIA's compute hardware
accelerates processing times by factors of 25 or more-applying a level
of complexity to the analysis and optimization of medical products
which nobody dreamed of, even two years ago," said Ryan Schneider, CTO
of Acceleware Corporation. "NVIDIA and Acceleware's solutions have
opened completely new worlds for computational electromagnetics."
Pricing and Availability
For more NVIDIA Tesla product information, including a list of
officially certified host systems and authorized partners, please
visit: http://www.nvidia.com/tesla.
NVIDIA Corporation
NVIDIA Corporation is the worldwide leader in programmable graphics
processor technologies. The Company creates innovative,
industry-changing products for computing, consumer electronics, and
mobile devices. NVIDIA is headquartered in Santa Clara, CA and has
offices throughout Asia, Europe, and the Americas. For more
information, visit http://www.nvidia.com.
During pre-market trading shares are up 1% to $40.59 with over 100,000
in volume. The Market Gainer Research Team will continue to gauge the
short and long term affects that this announcement will have on the
company
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