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NVIDIA CUDA 2.0 promises a manifold increase in computing speed

At the two-day Editor’s Day event held May 21-22 in Silicon Valley, NVIDIA showed
direction of technology development and talked about her architecture CUDA
second generation.

Using GPU,
supporting this architecture, a large increase in performance, compared
with calculations carried out only with the help of the CPU,
will receive resource-intensive applications: research in
biology, financial calculations, problems of studying the climate, weather prediction
and many others.

Dr. David Kirk.David Kirk),
the head of research and experimental departments of the company, spoke about the benefits in terms of increasing
calculation speed can be obtained using CUDA 2.0. On the
the photo below shows the indicators of acceleration of calculations in those applications where
GPU can be used with CUDA 2.0
(GeForce 8800 GTX in this case) vs. 2.8 GHz Pentium D.

Click on the photo to enlarge

The Power of General Purpose Stream Processors in CUDA Graphics Cards
can be used for their intended purpose – to carry out calculations with a floating
comma with high precision and speed, only in this case not for
building a 3D picture on the screen during the game, and for mathematical
calculations in other tasks. This is done thanks to the drivers,
recognizing one or more GPUs in the system and, in fact,
support for C and Fortran languages.

June 17 will be the day NVIDIA
will present two of its great achievements: the series video processors
GeForce GTX GT200 and CUDA 2 Architecture.0.

The power and low cost of computing with the new architecture and
The company’s GPUs are certainly impressive, but don’t forget
about
painstaking work to optimize calculations specifically for the GPU. However
less, work in this direction is being actively carried out. For example, the popular package
Adobe Photoshop, as it became known recently, will support acceleration
graphical calculations due to the use of CUDA in its next versions.

Sources: NVIDIA, HKEPC

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