|
2014-05-11, 09:19
|
#1 |
|
Feb 2014
Germany
5 Posts |
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 |
|
|
|
2014-05-11, 18:39
|
#2 |
"Mr. Meeseeks"
Jan 2012
California, USA
37·59 Posts |
I think running one "instance"per core will always be faster than one per multiple cores.
|
|
|
|
|
2014-05-11, 19:57
|
#3 | |
|
Bamboozled!
"๐บ๐๐ท๐ท๐ญ"
May 2003
Down not across
2·17·347 Posts |
Quote:
Yes, that was a rhetorical question. The reason why I asked it should be obvious. |
|
|
|
|
 |
Similar Threads
|
||||
| Thread | Thread Starter | Forum | Replies | Last Post |
| CUDALucas / cuFFT Performance on CUDA 7 / 7.5 / 8 | Brain | GPU Computing | 13 | 2016-02-19 15:53 |
| Anyone using GPUs to do DC, LL or P-1 work? | chalsall | GPU to 72 | 56 | 2014-04-24 02:36 |
| GPUs impact on TF | petrw1 | GPU Computing | 0 | 2013-01-06 03:23 |
| GPUs in action? | davieddy | PrimeNet | 21 | 2011-04-02 12:33 |
| Multiple systems/multiple CPUs. Best configuration? | BillW | Software | 1 | 2003-01-21 20:11 |
