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Supercomputing the GPU way
William Henning - Thursday, June 21st, 2007 | 12:20PM (PST)


Nvidia introduces Tesla GPU's for supercomputing

Nvidia has announced that it will make GPU boards for computing applications under the Tesla brand name. These boards will feature 128 parallel processors, providing up to 518 gigaflops of performance per board... so for example, if you had a high end motherboard with four PCIe 8x slots, you could have over two terraflops of math crunching power at your fingertips!

Nvidia will also apparently market a GPU computing server that will house up to eight Tesla GPU's in 1U of rack space - giving up to 4 terraflops per 1U case.

The Tesla will be supported by Nvidia's CUDA software development platform, which integrates a debugger/profiler, dedicated drivers and standard libraries, allowing the development of C applications capable of processing vast ammounts of data in parallel.

Cuda will be available for both Windows and Linux.

 

 

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Comments:

June 21st, 2007 12:55PM(PST)
Anonymous
Would something like this be able to be used for general purpose computing in conjunction with the CPU? I wouldn't imagine that the same macros or instruction sets would be available, but in the future...
June 21st, 2007 1:46PM(PST)
Anonymous
*would NOT be available^
June 21st, 2007 5:00PM(PST)
jmicahg
if you mean for acceleration desktop applications, most likely not, unless you want to write some API (Application Programming Interface) that would allow you to write some hacked code to get WinRAR to run in super computer mode. and it won't make your games run any faster (barring a compleate recode of the games engine).

but it could be used for folding@home and some 3-D modeling apps, but these cards will probablly cost and arm and a leg.

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