Folding@Home on ATI GPUs Too
Anh Tuan Huynh
August 24, 2006 12:48 PM
comment(s) - last by
Folding@Home for ATI R5xx Series in the near future
reports Folding@Home will take advantage of ATI graphics processing power in the near future
claims performance of 100 gigaflops per computer
will be achieved by taking advantage of ATI’s graphics processing power. ATI GPU support appears to only be for
R5xx series of graphics processors according to the Folding@Home high performance client FAQ
. The GPU powered Folding@Home client runs considerably faster on R580, Radeon X1900, X1950 series, than R520, Radeon X1800 series, most likely due to the R580’s 48 pixel shaders.
NVIDIA GPUs are currently unsupported at the time as the Folding@Home project has been concentrating its efforts on ATI GPUs as the ATI GPUs perform significantly faster than current generation NVIDIA GPUs. Folding@Home also
previously announced its Cure@PS3 project
to take advantage of the PS3’s processing power.
awaits the day Folding@Home optimizes its client for
Bigfoot Networks KillerNIC
The ATI optimized Folding@Home client is expected to arrive towards the end of September. And, of course, if you needed another reason to stock up on ATI R5xx cards, ATI is still expected to release a driver for
This article is over a month old, voting and posting comments is disabled
8/24/2006 9:51:24 PM
Well it's good the F@H client is going to be accelerated by ATI gpus when they launch this.
That should have been done ages ago because they have been wasting large amount of electricity per work unit by not taking advantage of it.
Secondly they should use most updated libraries and optimise well. eg early F@H was not optimised (more waste) until they switched to gromacs library.
Third I think they have it also working on Clearspeed CSX600 coprocessor board. The client in the field needs to ship with the support for that compiled in too.
Fourth, nvidia is not so inferior. Most of the work in nongraphics applications of gpus has been done on nvidia hardware (see gpu gems 1 and 2 books). They should support BOTH, and make the effort to rewrite to support both.
Fifth, all acceleration should be taken advantage of if installed. Thus autodetect if I have an nvidia plus a clearspeed and dualdualcore machine, use those.
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