One completed so far. Very nice GPU utilization on GTX 780Ti w/ Win7 at ~85% with CPU crunching at 75%.

I just recently created an application for my Dell XPS 730x computer, which is capable of controlling the XPS System Fan, ramping fan up and throttling fan down, all based on the GPU Temp of my GTX 660 Ti.

And then I picked up one of these BARNA tasks.
WOW!

It is pushing my GTX 660 Ti very hard, at 100% Power consumption, at 80% (full) GPU Fan, and at 92% GPU Usage even with a full load of CPU tasks also running.

This is all very good, of course. I don't think I've ever seen my GPU work harder on any other task type. And, for reference, I have a closed hot system, and this task type triggered my program to keep my system fan at full speed :)

Thanks for helping me test my program.

Regards,
Jacob

Currently chewing one too, very nice utilization:

My 780Ti does very good with these as well, 88-90% GPU load and using 1150MB of memory. Temperature is a bit higher, now 76-77°, is with other WU's 72-74°. But ambient temperature is 29°C.
Still using the "old" driver 331.82.
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Greetings from TJ

Very good job and idea.
Gpu-load 86-87%
Cpu - 0.812 1 core
Memory used about -2660 mb,each gf card. That's great if beginning to use Tasks all possible memory to the graphics card .. I has a free six gigabytes respectively .. 4 gigabytes real ))

Thank you for the follow up - we appreciate seeing the continuing progress and evolution of this experiment.

Longer tasks are typically more challenging, in a good way, as we need to keep our rigs stable and running smooth for longer stretches. A full queue always keeps us grunts happy.

All put together - well done!
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Thanks - Steve

These longer BARNA's run smooth on my GTX780Ti. Steady 88% GPU load, using ~1100MB RAM and boost the card at steady 73°C (thanks to Jeremy Z). Completed in around 5 and a half hours in Win7 with "old" 331.82 driver.
By comparison: 7.8 hours on my GTX770. I like these WU's Stefan.
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Greetings from TJ

My 770 is running at 1149.7MHz (GPU-Z), 93% load. But as I still us the older 331.82 driver, I can not use SWAN_SYNC. The CPU is a Haswell from last year, the i7-4770K but I am still using old RAM 799.6MHz, 8GB in total. The CPU is only doing four Rosetta WU's, and two for GPUGRID, as I have also a 780Ti in this PC. Both using 0.749CPU's. So indeed skgiven that helps a bit in speeding things up (less CPU use, we have both experimented with that). But I guess its the driver. With the latest drivers, the 780Ti is hampered, reported by several other crunchers, and I saw that too when installed 337.50 beta and reverted back two days later.
I don't know if that has the same effect on the 770 as I did not look at that, wrong off course, not how it should be with research, but I was only focused on the 780Ti.
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Greetings from TJ

Aha, now I understand, thanks for the explanation Stefan.

Although 5.5 hours does indeed sound too short... I will take a look.

As expected I saw an improvement on runtime from using the better settings:

7h 26min rather than 8h 45min

The BARNA projects running on Dec. 2014 were at like 60/100 steps.
Then they sort of went away, or got de-prioritized?

I never see them anymore.
Did you get enough data, or we just giving the rest of the lab a turn?

They are finished. We simulated more than enough and now it's time to analyse them with some collaborators. Thank you very much for crunching them :)

They are finished. We simulated more than enough and now it's time to analyse them with some collaborators. Thank you very much for crunching them :)

On the project status page, I just noticed though that the number of unsent SDOERR_BNB tasks is growing.
How come?

That would be explained in the BNBS thread.

I can't get new tasks on my Linux host (with a GTX 1080), while there's a plenty of workunits in the queue.
It seems that the scheduler is lying about the number of available workunits in the long queue:

2016. dec. 22., csütörtök, 09:50:10 CET | GPUGRID | Sending scheduler request: Requested by project. 2016. dec. 22., csütörtök, 09:50:10 CET | GPUGRID | Requesting new tasks for CPU and NVIDIA GPU 2016. dec. 22., csütörtök, 09:50:12 CET | GPUGRID | Scheduler request completed: got 0 new tasks 2016. dec. 22., csütörtök, 09:50:12 CET | GPUGRID | No tasks sent 2016. dec. 22., csütörtök, 09:50:12 CET | GPUGRID | No tasks are available for Long runs (8-12 hours on fastest card)

("csütörtök"= thursday)

That would be explained in the BNBS thread.

I guess you talks about this posting:

In case anyone is wondering what these WUs are, we are running some extra simulations on the Barnase Barstar system (previously called BARNA: http://gpugrid.net/forum_thread.php?id=3709#36142 ) to answer some questions of the reviewers. If the results get us through the review process this will be a major publication :)

At first view it seems that Pascal cards may benefit from this kind of job. My GTX 1080 is now utilized to 90-95% (even with WDDM) which is an amazing plus of 10% compared to other long runs.

Having said this, the total computing time is from dissapointing 7-8 hours (I run two concurrent tasks) which is slower than the 770 and 780ti below mentioned. How can this be?
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I would love to see HCF1 protein folding and interaction simulations to help my little boy... someday.

How can this be?

I see... looked at that way the 8 hours of the 1080 seem to be a good value. I wonder what time the "older" hi-end GPUs like a 780ti, 980 and 980ti need to finish this job. Just from the specs, the Pascal should have a major advantage over these cards, but in practice a 1080 was hardly faster. At least as far as regular long runs concerned.
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I would love to see HCF1 protein folding and interaction simulations to help my little boy... someday.

I wonder what time the "older" hi-end GPUs like a 780ti, 980 and 980ti need to finish this job.

At first view it seems that Pascal cards may benefit from this kind of job. My GTX 1080 is now utilized to 90-95% (even with WDDM) which is an amazing plus of 10% compared to other long runs.

The GTX 970 in one my PCs needs between 17 and 18 hours for these jobs;
GPU clock is set at 1390MHz, Memory at 3505MHz (with NVIDIA Inspector), the GPU load, however, is not more than 88-89%, which may be due to the older CPU (Intel Core 2 Duo E8400 @ 3,74GHz).

I see... looked at that way the 8 hours of the 1080 seem to be a good value. I wonder what time the "older" hi-end GPUs like a 780ti, 980 and 980ti need to finish this job. Just from the specs, the Pascal should have a major advantage over these cards, but in practice a 1080 was hardly faster. At least as far as regular long runs concerned.