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Additional system processing power from ATI X1900 GPUs

ATI has announced its new Stream Computing technology. Stream Computing accelerates enterprise computing tasks using ATI’s Radeon X1900 graphics processor. Scientific research, homeland security, financial forecasting, oil and gas, database searching, consumer applications and video games are expected to benefit from ATI’s Stream Computing technology. Scientific research such as Folding@Home benefits from ATI’s Stream Computing by being able to process larger data sets faster—processing three years worth of disease research in a single month. Climate forecasting is expected to benefit from the additional computing power by processing weather forecasts quicker to issue quicker bad weather warnings.

Homeland security will benefit from Stream Computing as security tasks are performed much quicker. Tasks such as facial recognition, communication analysis, airport security, photography and video analysis are expected to receive significant performance improvements. Financial institutions will benefit from faster financial forecasting. Stream Computing is expected to bring quicker and more detailed answers to help make quick financial decisions. ATI expects database searching to significantly improve from the added processing power and greater performance per density.

ATI expects consumers to benefit from Stream Computing as well. With Stream Computing, ATI graphics cards can accelerate any software that requires extra processing power. Lastly there are benefits in video games. Stream Computing will allow game developers to use ATI GPUs for physics processing. This allows physics engines from Havok to take advantage of processing power available in multi-GPU ATI systems. Gamers expecting ATI triple-play physics processing will have to wait as ATI makes no mention when Stream Computing technology will be available for games.



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32 bit floats
By heulenwolf on 9/30/2006 4:12:08 PM , Rating: 2
They use ATI 1900 only because they're the first ones to put 32 bit floating point hardware on their graphics card. The "issue" with nVidia's cards is that they don't have that capability. While the math can still be done on a nVidia card - the same way having a 32-bit CPU doesn't mean you can't process 64-bit variables - the processing overhead takes away much of the advantage. Development may be more complex, too.




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