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I folded Myself
ATI's stream enhances Folding@Home performance by over 3000%.
A while ago, NVIDIA released Gelato, which was its entry into the idea of stream computing. Stream computing is a way to run CPU-heavy applications on a GPU. This theoretically would be great, considering the multiple shader and vertex processors on a GPU. While NVIDIA's Gelato was an early proponent of the concept, ATI seems to have nearly perfected it. Their version of stream computing can increase a programs performance by between 10 to 40 times it's orignal performance, effectively making a graphics card's performance equal to the performance of a rack of servers. Of course, this is only if a program is coded to utilize the extra processing power. If it isn't, then the program will spend too much time communicating between CPU and GPU, and very little work will get done, causing a performance loss.
Pictured from From left to right: Chas Boyd of Microsoft, Jeff Yates of Havok, Vijay Pande of Stanford University, Michael Mullaney of Peakstream, and Dave Orton of ATI. Stanford University, known for creating Folding@home, reports that their program is fully compatible with ATI's stream, and the performance benefits are very real. Packstream makes middleware, and their programs fully support stream. And because they make middleware, programmers can use Packstreams API's to make their programs, which will hence be fully compatible with stream computing. Microsoft says that some components of Vista, like Aero, already use some elements of stream technology. And Havok was there to confirm physics on a GPU.
http://www.theinq.com/default.aspx?article=34783
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