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Has the GTX 680s GPGPU capability been thoroughly explored?

Vesku

Diamond Member
Where does it rank? There was some talk of "optimizations" for the new Kepler architecture at least in regards to @Folding. Is it possible they might see a large jump after optimizing?

Have yet to see any solid numbers on bitcoin MH/s but that most likely means it is quite underwhelming. Napkin estimators were guessing 110ish MH/s.

Please do not reply if it will be to say "ROFL GPUs are for GAMES."
 
no, kepler don't have all it's the gpgpu power yet...
there is alot of drivers work to be done

other thing, a 28nm fermi would be better for gpgpu, even better than any BIG-K ...well atlest teoricaly :ninja:
 
AFAIK, Nvidia is working with Stanford on a new F@H client that takes advantage of the Kepler arch. No due date yet.
 
I don't think it's quite fair to just make the blanket assessment that they suck at GPGPU- their floating point performance is severely neutered, but int performance should be unaffected and they do show promise in some benchmarks. I think it will be a very usage-dependent scenario. One thing is for sure though, they will not excel in compute in general like Fermi did.
 
Bitcoin is int based and in the forum post I linked it has yet to get more than 110MH/s. A Radeon 5830 does about 280MH/s.
 
Technically Kepler should have Compute capabilities of 3.X.But we need a new cuda version to take advantage of the new functionality.
 
Double Precision Floating Point is down from 1/8 in GTX 580 Fermi to only 1/24 in GTX 680 Kepler.

You have to remember that this is really only the midrange card (GK104) to the true GK110 will probably be back up to 1/8 and then we will know the improvements in GPGPU.
 
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