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Crunching - Spare nvidia cards sitting around - which to use / for what

mrjoltcola

mrjoltcola

Senior member
I have all my crunchers engaged on Correlizer right now, but when that is done, I may look for something else. In any case, I'm not sure whether I even configured it to use GPUs, I'll have to review.

So here are my non-rackmount crunchers that can take a GPU:

3930K + 2 x GTX570
2600K + 1 x GTX580
2500K + 1 x GTX560
2600K + NO GPU
Core 2 Duo + 9800 GT
Core 2 Duo + NO GPU

I have 3 spare Geforce cards - 2 x GTX 260 Core 216, and a GTS 250. I was about to sell these, then thought maybe I should engage them crunching.

Are these GPUs useful for Correlizer at all? How much do these GPUs contribute in comparison to my CPUs, and how will the power draw compare to the work units I can crunch with the cards?
 
Correlizer is cpu only.
I am sure there are other BOINC based projects that can use the gpu's.

Both are cuda cards correct? If so, they would be good for folding at home (gpu3 client).
6th annual race starts December 1.
 
Yep, Folding's good. PrimeGrid sieving will also work. (There's a short PrimeGrid sieving race in the middle of the Folding race.) There's also a project called Collatz Conjecture, although it's faster on AMD cards.

I think all the other projects require double-precision floating point cards. Folding will be roughly as fast as a slow quad-core CPU with the SMP client on those. PrimeGrid and Collatz will be much faster than any CPU.
 
Thanks for the link!


Are there any challenges / races out there that involve trying to find the first needle in a haystack, or crack a given message (similar to the old DES and RC4/5 challenges I used to compete in)?

As opposed to the longer-term races that are more oriented towards total throughput / team competition?
 
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