For Crunching or Folding on Titans, I noted a new setting in under the NVIDIA Control Panel Manage 3D Settings.
When would we want to use this setting? The Default is None.
 



 

cuarc001
PrimeGrid's GFN work units and Milkyway's work units for GPU's would require double precision. However, I don't have any Titan's and therefore don't know if you really have to toggle it or not.

Thanks,
I run both now but gave never added more with this toggle.
For Milkyway I really would not see any real change but maybe for GFN I would.
I will have to test this then:
 
Down to only 100 Hours.

 
Looks like it settled Down to only 95 Hours.

 
Generalized Fermat Prime Search n=20 (GFN-Short)
b^1048576+1 (or b²²⁰+1)
Recent average GPU time: 15:55:10
 
Generalized Fermat Prime Search World Record n=22 (GFN-WR)
b^4194304+1 (or b²²²+1)
Recent average GPU time: 129:43:43
CUDA Run

 
Next I will run only OpenCL and now the wait and see starts.
 
 

I recall a post from a user on Milkyway@Home who tested the Titan with double precision mode enabled. He or she had to run multiple tasks at a time with an app_info.xml to see closer to full benefit of what the Titan could do. For some reason, running a single task did not scale well like it does with the AMD 7970.

First Run Completed in 3.07 minutes.

Found this as well today:
http://www.anandtech.com/show/9059/the-nvidia-geforce-gtx-titan-x-review/18
Finally on a lighter note, with the launch of the GTX Titan X we wave good-bye to GTX Titan as an entry-level double precision compute card. NVIDIA dumping high-performance FP64 compute has made GTX Titan X a better graphics card and even a better FP32 compute card, but it means that the original GTX Titan's time as NVIDIA's first prosumer card was short-lived. I suspect that we haven't seen the end of NVIDIA's forays into entry-level FP64 compute cards like the original GTX Titan, but that next card will not be GTX Titan X.
https://www.mathworks.com/matlabcentral/answers/213041-why-does-my-gtx-titan-black-gpu-underperform-in-double-precision-calculations-in-matlab-r2015a#answer_176280
http://forums.evga.com/When-to-Use-Double-Precision-under-NVIDIA-Control-Panel-Manage-3D-Settings-m2252867.aspx
In general, double precision can often be much slower across GPUs as some of them are optimized by design for single precision computation only and not scientific calculations involving double precision numbers.
As we are unable to provide recommendation for GPU hardware, please contact NVIDIA directly for further information on this disparity in performance.
https://setiathome.berkeley.edu/forum_thread.php?id=76938&postid=1654672#1654672