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Old 2014-05-11, 09:19   #1
HHfromG
 
Feb 2014
Germany

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Default cuFFT on multiple GPUs

Hi everybody,

the new CUDA6.0 Toolkit supports the use of 2 GPUs to perform FFT whose calculations can be distributed accross 2 GPUs under some boundary conditions. One of these preconditions (which is at the same time a restriction) is:

> the GPUs must both be on the same GPU board (e. g. GeForce GTX 690)

Is there anybody who has already tried to change / adapt the CUDALucas 2.05 source code to increase the performance when using CUDALucas on a Nvidia GeForce GTX 690?

Regards,
HHfromG
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Old 2014-05-11, 18:39   #2
kracker
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"Mr. Meeseeks"
Jan 2012
California, USA

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I think running one "instance"per core will always be faster than one per multiple cores.
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Old 2014-05-11, 19:57   #3
xilman
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May 2003
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Quote:
Originally Posted by kracker View Post
I think running one "instance"per core will always be faster than one per multiple cores.
Faster by what metric ---- latency or throughput?

Yes, that was a rhetorical question. The reason why I asked it should be obvious.
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