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#1 oVo

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Posted 02 October 2006 - 02:22 AM

Stream Computing uses the GPU as a compute engine rather than strictly for graphics. If you have a problem set that maps to a GPU, it will absolutely scream when compared to a plain old CPU. If you look at the architecture of a GPU, it is a bunch of shaders, tens of them in most cases, each of which can crunch a lot of heavy sums, or at least certain types of heavy sum.

...

Running Folding@Home on a GPU, specifically an X1900 class card. It is seeing between a 20-40 times speedup depending - not least how fast a CPU can feed the card. This would mean a GPU can do what most of a rack of servers can.



Stream it guys.

Never did understand why a good piece of hardware often sat there doing nothing while its poor brother was crunching its butt off. Same with a physics card, a shame not to use it more. More? ALWAYS!!! :w00t:
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#2 Johnny Cool

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Posted 02 October 2006 - 10:01 AM

It is seeing between a 20-40 times speedup depending - not least how fast a CPU can feed the card. This would mean a GPU can do what most of a rack of servers can.

Oh my! :w00t:

#3 oVo

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Posted 02 October 2006 - 11:42 PM

:drool:

When this gets done I might actually be tempted to go with two GPU's...
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#4 Menelaus

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Posted 03 October 2006 - 05:45 AM

oVo in a threesome?
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#5 popeyecu

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Posted 03 October 2006 - 07:42 AM

Too bad it's only ATI hardware so far...
I love the copper. I love the aluminum. I love metal and silicon working together for the betterment of computing.


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#6 oVo

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Posted 03 October 2006 - 07:46 AM

Nvidia has its Gelato and was an early proponent of the concept, but ATI is showing that it is far from behind.




:huh:
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#7 popeyecu

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Posted 03 October 2006 - 08:40 AM

The x1900 series was actually designed to be easily accessible for GPGPU operations. Maybe the G80 will be aswell.
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