Mhh, something obviously went wrong there, but I don't know your configuration well enough to make any educated guesses. In my post I assumed a standard setup as starting point, that is 100% CPU use and 1 GPU. Maybe that doesn't apply to your system?

MrS

Yes, if I use 90% CPU (via Computing preferences, etc.) on an 8 core (2 x 4 no HT), then one core is free and runs GPU fine. But as soon as I make it higher then 90%, GPU load drops to zero. But that is on Einstein. I will not try this here, as I don't want to risk loosing a WU that has already run long.
But thanks for the tip, as it works for other people than that is great. I am a happy cruncher and have learned a lot here.

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Greetings from TJ

Hello: The first task completed with my new Gainward GTX770. http://www.gpugrid.net/results.php?userid=68764

Perfect performance, average temperature 61 º C, fan at 64%, 87% load. Working with Windows 8.

Then I'll look to Ubuntu 13.04 which is actually my working OS.

Hello: The first task completed with my new Gainward GTX770. http://www.gpugrid.net/results.php?userid=68764

Perfect performance, average temperature 61 º C, fan at 64%, 87% load. Working with Windows 8.

Then I'll look to Ubuntu 13.04 which is actually my working OS.

We can't go to your link, that is not working (no access).
However looking at your computers I see that the 770 is doing short runs. Lets see if if does long runs nicely as well? That would be interesting.

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Greetings from TJ

Yeah, especially the new NOELIAs!!

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Hello: Finished the first short tasks with the GTX 770.

As expected Linux / Ubuntu 13.04 outperforms Windows 8 on average approximately 4.8%, the sample is short but I think it sets the trend, we will see in the long.

Then will run two short tasks at the same time and see if it really pays.

The next step long assignments. Greetings.

Hello: Finished two simultaneous short tasks on the GTX 770 and the result is an improvement of 5% (approx) of executing a single task, not much but it's something.

Possibly try with three tasks at once.

Unfortunately there are problems with Linux Noelias I hope is fixed soon. Greetings.

Possibly try with three tasks at once.

Don't bother, you won't get any improvement and 5% isn't worth the extra failure rate.

Unfortunately there are problems with Linux Noelias I hope is fixed soon. Greetings.

The problem is not related to Linux or Windows, it's with the WU's.

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Unfortunately there are problems with Linux Noelias I hope is fixed soon. Greetings.
The problem is not related to Linux or Windows, it's with the WU's.

Hello: Thanks for your comments.

If the problem is not better suspend Noelias ship out...?

Short queue has NATHANIEL's WU's.

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My GTX770 runs the exact same times as my GTX680's, I guess the faster memory has no impact here. With a TDP of 230 watts for the 770 compared to the 680's TDP of 195 watts, I think the GTX680 is the better deal and with Global Foundries process maturing very nicely, the new GTX680's are going straight to 1201MHz - 1215MHz right out of the box at 1.175 volts. I just really like those 680's, you can't go wrong with them.

It might not be so obvious if the difference was only 5% and there was some task runtime variation.

This TDP difference makes me think that the best cards around now might be the GTX670's.

What are the 770's clocks and are the 770's actually using more power?
If so then you could test if the faster memory has any impact (other than sucking up power) by reducing its frequency.

If you have just run Noelia WU's then you might wait and see how other WU's perform; they might be more memory dependent - I've seen a difference in memory controller load for different WU's.

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This TDP difference makes me think that the best cards around now might be the GTX670's.

For now, you are saying and that is a good point. How are these cards in the future?
The WU's evolve fast, so a top card now can become "outdated" very fast.
So perhaps is investing in the best cards available (Titan?) a safer option then buying a "cheap" one now and in a few months they are slow again.
A year ago my GTX550Ti did not bad here, now its taking 18-30 hours.

On the other hand science projects need computer power from the public, that's the idea of BOINC. Then they should keep in mind that a lot of people have a tight budget to use for expensive computer hardware. So lower-end and mid-range cards must be used as well, they are in the majority after all.
I know the SR queue is there for, but these are gradually taking more time and more resources as well.

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So perhaps is investing in the best cards available (Titan?) a safer option then buying a "cheap" one now and in a few months they are slow again.

I don't ever think it's a good decision to buy new and/or top-end stuff at their premium prices. Something like 2/3rds of the way to the top seems like the best cost-efficient choice for me.

Being realistic, I don't think that hardware for crunching should even reach that 2/3 point. I mean, come on, we're giving real money, buying real hardware, consuming real electricity, working 24/7, putting in big chunks of our real time for a close-to-zero probability that something really useful will come out of all of this... Nice and romantic and all, but why invest big money?

On the other hand science projects need computer power from the public, that's the idea of BOINC. Then they should keep in mind that a lot of people have a tight budget to use for expensive computer hardware. So lower-end and mid-range cards must be used as well, they are in the majority after all.
I know the SR queue is there for, but these are gradually taking more time and more resources as well.

I agree with you 100%! The majority is what every science project out there should optimize for. Doing that will give them the biggest gain.

The short-run queue is TOO LAME in the credit it gives at present. Boosting credit gain will bring more people with low-to-mid-range cards to GPUGRID. On the other hand, SR WUs are almost always much fewer than LR, so they may just not care.

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There isn't much difference between a GTX670 and a GTX770 architecturally so it's unlikely that the 670 will be outdated before the 770 or 760.

Titan doesn't even work yet.

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Indeed we invest heavily on hardware and electricity, but we are not forced to do so. We choose to run BOINC as or free will. And everyone can contribute to her or his own possibilities.
I have seen cancer from close by, I have "lived" in a hospital for more than half a year so I will invest to contribute to help find answers. I can give money to a cancer fund but I don't know if they use it for research, or a campaign, or brochures or whatever. Here I know where it is for. I don't care about credits as well, but I know others do and that has to be taken into account indeed. I do Rosetta as well and there credit is very very low. The project has troubles all the time. But I stick to it as there research is useful.

What we contribute will certainly help. Perhaps not tomorrow but eventually it will. GPUGRID has several papers published already, they are there to read for everyone. And they do care, cause as there is no-one to crunch, than their project is over. But in the scientific community there is competition as well. Several groups around the world are trying to find things as first. Funding has become harder and especially at Universities the scientists have to publish a lot of papers. In fact at the end the amount of papers published counts. All these things hinder the scientist. Most have a (young) family as well and then overall time is the enemy. So we have to be a bit patient from time to time.

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Greetings from TJ

I know what you mean TJ and I also want to help the fight against cancer and other diseases in any way I can. That's why I have my machine running 24/7 and keep calming down my wife all the time, who gets upset regularly by the (pretty low) noise and (substantial) heat it generates, lol!

I'm only saying that the researchers should optimize their WUs for the hardware the majority of their crunching supporters have, that's all. That would give them the biggest gain and their supporters crunching satisfaction! Mega-crunchers would continue getting their mega-credit with the sheer amount of crunching work produced. That's pretty obvious methinks.

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If anyone has actual power usage info for the GTX770 let us know.

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just a note.

we have not tested gtx770, but we expect these to work because they are based on the chip of the gtx680.

We have now ordered few for testing with the standard cooling (one fan). I'll keep you posted.

gdf

TJ wrote at 14 Jul 2013 | 13:35:36 UTC:
Indeed we invest heavily on hardware and electricity, but we are not forced to do so. We choose to run BOINC as or free will. And everyone can contribute to her or his own possibilities.
I have seen cancer from close by, I have "lived" in a hospital for more than half a year so I will invest to contribute to help find answers. I can give money to a cancer fund but I don't know if they use it for research, or a campaign, or brochures or whatever. Here I know where it is for. I don't care about credits as well, but I know others do and that has to be taken into account indeed. I do Rosetta as well and there credit is very very low. The project has troubles all the time. But I stick to it as there research is useful.

That is also why I am contributing to GPUGRID. I've lost some familymembers by the disease cancer, like my own father at very young age. My mother lost also 2 very good friends of her, who had breast cancer. It's less close than your experience with the disease but close enough for my to set folding as a goal.

Vagelis Giannadakis wrote at 15 Jul 2013 | 9:18:25 UTC:
I know what you mean TJ and I also want to help the fight against cancer and other diseases in any way I can. That's why I have my machine running 24/7 and keep calming down my wife all the time, who gets upset regularly by the (pretty low) noise and (substantial) heat it generates, lol!

LOL! :P But I can understand it. Sometimes it is really a sacrifice because your room isn't silent at all (noise by watching movies at the television), your room is overheating (very nice when the ambient is already 28 degrees Celsius :P) and sometimes you can't do heavy (graphic) work or gaming at the computer when there is running a large GPU WU. Not talking about electricity bills... you get the point. :P

But we all know why we are here. For the credit or for a higher goal. ;-)

Maybe it's also because you do not know exactly what you are doing. In "Folding@Home" and I thought also "FightAIDS@Home" you can see in a special application a simulation of what you're doing.

It's all based on trust, that GPUGRID makes good use of your data from folded WU's. For all publised papers you've to pay money, something like 35 euros. I think that is a lot of money for a few pages of text, where I can't understand more then 50% procent of the text because it is writed in scientific launguage.
Why is this not free available to people who have worked as a volenteer there? Is giving (read: rendering) a lot of WU's to the project not enough for GPUGRID for reading free the results you've rendering for? very strange in my honest opinion...

I'm only saying that the researchers should optimize their WUs for the hardware the majority of their crunching supporters have, that's all. That would give them the biggest gain and their supporters crunching satisfaction! Mega-crunchers would continue getting their mega-credit with the sheer amount of crunching work produced. That's pretty obvious methinks.

I also agree with this. I don't have the money for buy each year a highend card solution for rough performance and good (water/air)cooling (per card).

It's frustrating to see when WU's are become larger and larger. As example a GTX560(TI) isn't enough anymore or other GPU's with less then 1,5GB VRAM. The instability of WU's is frustrating as hell, when you offer your free computing time and kWh's electricity and you get only errors.
I asked that before, why does GPUGRID have so many errors and strange load @ the GPU's. The answer were that GPUGRID changes the WU's (I guess they meant the instructions in the WU) for optimalisation. But wait? optimalization, where do I see that? Only what I see is larger WU's and a lot instability, crashes, errors, stranges loads different per project/WU. A little while ago I quited GPUGRID for that reasons... very frustrating when you have those problems again and again.

At Primegrid as example I get always WU's who give me 99% load. With GFN and PPS sieve... there isn't a different load per subproject (like Nathan of NOELIA tasks over here) or differences in WU's in one subproject.
At this moment I'm running 2 NOELIA's (@ 2 GPU's, each card 1 WU). Last week it gave me loads to 85%, now is the max suddenly just 65% and the expected runtime increased to 16,5 hours! Last week was that 14,5 hours on the same cards with LOWER corespeeds. Very dramatic... in the Netherlands we would say: "Je kan er geen touw aan vast binden", what means in a way something like it's all uncertain and you can't keep nothing as standard. :P

A better support for older cards could lead to a happier and maybe a larger community. Maybe is an option (read: a checkbox in preferences) for selecting WU's for <1,5GB cards a good option and increase the report time for large WU's on older cards, with a different credit system. Recent highend cards can do the normal long runs with CUDA4.2, older cards can fold with that option smaller long runs or the same long runs but with increased report time. Then you've as a folder at home a choice which one you want to do and which one fit the best to your system.

It's all based on trust, that GPUGRID makes good use of your data from folded WU's. For all publised papers you've to pay money, something like 35 euros. I think that is a lot of money for a few pages of text, where I can't understand more then 50% procent of the text because it is writed in scientific launguage.

That is not completely true. Most papers can be read entirely, in pdf or html. It depends on the publisher. For some you need to have an account or pay for it indeed. When GPUGRID submits a paper to a publisher then the publisher is the "owner" of it and decides free reading rights or not. You can not blame GPUGRID for it as they don't have the rights.

You can click on every publication name in your own account or from others and then you will see that most can be read completely.
And I think you can read about 95% of it, but I guess you wouldn't understand the half of it. I don't mean this in a bad way. But these papers are about chemistry, biochemistry, molecular modelling and medicine. You need to be familiar with the methods used in these disciplines to understand fully.

So think twice before you pay 35 euros for just one article :)

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Greetings from TJ