Hi, I know you guys are running on the fresh new cards, but those of us with a bit older iron are now out of the game!

The long runs that you have introduced lately run 7 days on GT640, but have about 5 days deadline. Later submit is ignored as the task has already been sent to somebody else meanwhile. I know these are not hyper super trooper heavy gamer cards, but they can still do a lot of useful work.

Can't you extend the deadline, or break the looooong tasks to a somewhat shorter ones? I mean even faster cards must have trouble, if they do not work 24/7, which is kind of crazy to expect at a volunteer computing network, isn't it?

Can't you extend the deadline, or break the looooong tasks to a somewhat shorter ones? I mean even faster cards must have trouble, if they do not work 24/7, which is kind of crazy to expect at a volunteer computing network, isn't it?

Hi, I know you guys are running on the fresh new cards, but those of us with a bit older iron are now out of the game!

Alright, but just about a week ago, there was no problem with the long tasks. I do not think you would find another project where you get 250k+ points for a single task...

But thanks for the hint. Ok, if I have to, I'll switch.

Who knows how many people who do not watch their stats regularly do not even know that they burn their electrons for nothing. ;)

I think it would be hard to crunch unless you have say for example a gtx 1080.

I do not think you would find another project where you get 250k+ points for a single task.

Thanks Joerg for the useful hints! I think I will choose AMD next time as I am disappointed by NVIDIA's lack of OpenCL 2.x standard support.

I know, Pappa, the credits are a mess, but the same is true for the amount of computation: you do not find such long tasks in other projects. Now I got some long short tasks, which are like the previous long tasks, so it's fine with the settings updated.

I try to stay away from all *coin virtual currencies, it's all garbage. I think the state has it's important responsibilities and should maintain its official currency, other currencies should be made illegal. And especially those that require computer crunching are very bad - for the environment for instance.

Back to the topic, it would be great, if the master were able to recognize that the particular slave machine could not meet the deadline and restrain from sending such tasks regardless the individual's project settings.

happy holidays.

You are welcome, however please keep in mind that GPUGRID does not support AMD cards (yet)! So you would have to switch to another project e.g. Folding@Home. The RX480 8G would be an attractive card, although not as efficient as the new Nvidia Pascal.
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I would love to see HCF1 protein folding and interaction simulations to help my little boy... someday.

This thread has deviated too far from its topic, so I've answered here.

Back on topic, I would like to see a finer adjustment setting for running either long or short runs per host or even per card in a host from the preferences page.

If you have a wide range of cards available it is difficult to adjust the workload accordingly. I am aware of the cc_config file but it is awkward to setup and adjust later if you want to change it.

For example I have a GTX 670 in one host and two GTX 980's in another two hosts. I would like to always have the short runs go to the 670 and the long runs to the 980's.

If Gpugrid runs out of short runs for the GTX 670 it could switch to another project. If Gpugrid runs out of long runs for the 980's they could switch to short runs but then go back to long when they are available again.

I also use Boinc Stats and can adjust the projects running per host but not the CPU or GPU applications. Having the settings available to adjust there would be a good option.

Another thought would be to define which cards can run which type of jobs. Ideally GPUgrid could determine which GPU card is available to send work to and distribute the jobs accordingly.

Even if this is too much overhead a well documented guideline would help most users decide what their HW capability is and make better decisions on what makes good sense to run or when they just need to upgrade to something better.

JJCH

Right, back to the topic.

I would say, though, that a lot of people here do indeed run their computers 24/7. If you do not run your computer 24/7, I'm with you on that one.

Wrong, in my personal opinion.

Don't look too much at the 'cavalry' surging ahead with their shiny 980ti or 1070ies. They look good at the RAC high scores, but in fact, their contribution is nothing without the countless 'common' supporters, all the people with proven gtx 460ies, 560ies or 660ies, who form the backbone or 'infantry' of every BOINC project. Same applies here.

My deep respect belongs to every woman and man who contributes to this worthy cause according to her/his possibilities, no matter what the RAC and the position in the score table.
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I would love to see HCF1 protein folding and interaction simulations to help my little boy... someday.

@skgiven At one point it did try using the Home/Work profiles but these three machines are all at home. I also have a few at work in my office area and a bunch in a computer lab. I ended up setting the profiles to where they were located which was somewhat related to keeping track of them before I started using Boinc Stats.

With this plan I would have to change all of the systems with low end cards in the GTX 670 range and whatever Low End Quadros to the Home setting and Mid Range cards GTX 980 and better Quadros to Work. There is also a School profile I could use for High End GTX 10x0 and equivalent Quadro cards if I had any and wanted to break it down a little further.

The GPUgrid Resource share is already set to 99,999 which gives GPUgrid the maximum priority. Normally I have all the systems with Nvidia cards set to run GPUgrid only using Boinc Stats and just turn on the other projects manually when GPUgrid runs out of work. The way I'm using it this setting doesn't make much difference unless there are multiple GPU projects queued up.

At one time I did try setting up fancy cc_config files for all of the different systems and GPU's but it ended up being a bit of a maintenance nightmare. Invariably there would be an app change or some other type of conflict and it would require updating the cc_config files everywhere. If there was a more automated way of doing this it could be very useful.

It may just be more simple and make more sense to update the GTX 670 to a 1060/70 so it would at least have a chance to complete a long run within 24hrs if I left it running. This would also mean looking at upgrading the low end Quadro cards too. Funny even the GTX cards can outrun a Quadro so I may even look at converting those over.

From what I am seeing on the Performance Stats the Long runs are taking around 16hrs on a GTX 980 and the bulk of the rest of the cards I have are running over 24hrs. Most of them are completing jobs in anywhere from about 36 to 48hrs. Way too long to get a top credit bonus. I had previously set all the cards to run two work units but I'm thinking I need to back that down to one and see if they can complete in less than 24hrs.

Don't look too much at the 'cavalry' surging ahead with their shiny 980ti or 1070ies.

Your laptop is probably a 940m or lower. Low end desktop GPUs are something like 660ti, 760s etc, more than 10 times faster than your laptop gpu.

From the computer list it seems to be a 920M with either the old GF117 Fermi chip or the Kepler GF208. If the Laptop is only one year of age I would presume the latter. This one yields 440 GFLOPS SP which is about the same speed as a Desktop GT240, GT545 or GT640 but significantly less Performance than a GT730. No matter how you look at it ... this mobile GPU is not particularly suited for crunching. For comparison, a 100 USD entry level desktop GTX 1050 yields 1700 GFLOPS SP.
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I would love to see HCF1 protein folding and interaction simulations to help my little boy... someday.

Your laptop is probably a 940m or lower. Low end desktop GPUs are something like 660ti, 760s etc, more than 10 times faster than your laptop gpu.

...the NVIDIA in my notebook that is only 1 year old require about 5.03 days to complete...

this mobile GPU is not particularly suited for crunching. For comparison, a 100 USD entry level desktop GTX 1050 yields 1700 GFLOPS SP.

But you might be right. Perhaps these cards should not be used for computing, if they are not so power efficient, and other cards out there can do the same job. I can accept that, if it is the official position. It could be nice though to tell me that. Although I thought that the laptop one was a bit more power-efficient.

But I see 12979 long tasks, and 0 short tasks at GPUGrid.

Perhaps these cards should not be used for computing, if they are not so power efficient, and other cards out there can do the same job. I can accept that, if it is the official position.

I am not buying hardware for crunching somebody else's data

pissed off by the crazy gridcoiners

I am just saying that the problem would not be there at all, if the long tasks were just a bit shorter. well, maybe they just calculated shorter tasks not being efficient due to download/upload bandwidth or domain problem granularity, it's ok.

anyway, does anybody compute the number of power plants required for the electricity that all this fun actually consumes?
- just for the case someone's parents will not be taken by a very heavy storm due to extra rapid climate change caused by environmental impact too high.

may be it is time to leave the club. I mostly used it instead of heating in the winter anyway.

just for the case someone's parents will not be taken by a very heavy storm due to extra rapid climate change caused by environmental impact too high.

may be it is time to leave the club. I mostly used it instead of heating in the winter anyway.

anyway, does anybody compute the number of power plants required for the electricity that all this fun actually consumes?
- just for the case someone's parents will not be taken by a very heavy storm due to extra rapid climate change caused by environmental impact too high.

anyway, does anybody compute the number of power plants required for the electricity that all this fun actually consumes?
- just for the case someone's parents will not be taken by a very heavy storm due to extra rapid climate change caused by environmental impact too high.

Navigare necesse est.
Why do you pick on the guys using cutting edge technologies to advance science? We don't have anything better for this purpose, there's no other way (for now) to do this kind of research.
We use many obsolete devices (cars, fuel fossil power plants, etc) for our everyday activities, which have a much greater (adverse) impact on our environment. We take part in many everyday activities which consume enormous amount of energy without making any progress in human civilization (think of any mega entertainment/sports event for example). You'd better complain on their forums about extra rapid climate change.

Sounds like a plan.

Why do you pick on the guys using cutting edge technologies to advance science?

Why do you pick on the guys using cutting edge technologies to advance science?

Don't try to be too funny. :-) Brute-force has never been a cutting edge technology.

I just logged in to post on this subject and found that a discussion already existed...

I apologize for the repetition, but please allow more time for long tasks.

I did manage to finish the last one, but I'm not sure about the current one. I had disabled the long tasks but then I didn't get any tasks at all, so I set it to long if nothing else available.

Thanks!

I'm crunching with GT740M of my notebook. Long runs take more than three days. As long as I'm at home I leave my notebook crunch long runs. But when I go somewhere with my notebook I have to stop crunching. Otherwise, not only Gpugrid works won't finish but also I'll have wasted energy. Also short run queue is empty most of the time. So I prefer long runs...

> It is immature to imply that you know better what
> cutting edge technology is, but you don't actually
> tell it to us.

Well I am not sure what immature implications you are making, but it's not hard to guess, my boy. Pretty much anything else than brute-force is better than that.

SDOERR_BNB jobs can't finish on my GT740M at time. And project doesn't give short units. Currently project is disabled and I'm heating the GPU with some Seti jobs...

First, I'd like to say that I really like supporting GPUGRID as a project. The team publishes results. Also, it seems so many other distributed (grid) computing projects are in theoretical math or in astronomy. I LIKE supporting a project which we can hope will improve human health down the road.

I have a pretty modest GPU (GT 640**) compared to many GPUGRID hosts. However, I have been averaging right at 11 WU a month (almost every single one long-run). Also, I imagine that I am far from unique... that there are many BOINC volunteers 'out there' who have a more modest system (not costing a grand or more, and with no external power supply.)
I appreciate that timely turn-around is important, but there is no other BOINC project of which I am aware with such a short time-out limit on WUs (I am active in 15 projects, not counting several which have by now ended). Ten to 20 days is pretty typically the time limit. SETI has a time limit of over 5 weeks.
So, my question: Is GPUGRID snubbing potential BOINC volunteers who have, say, a GeForce, but not a Titan or whatever?

Thanks.
LLP, PhD PE

** Some 6 years ago, I had a system with a 530. A couple of years later, I upgraded to a 640... I didn't go for more so as to keep my expense to under $100, AND not to have to buy an external power supply.
By the way, I am NOT a gamer at all. I bought the GPU solely to support distributed computing science projects.
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I think ∴ I THINK I am
My thinking neither is the source of my being
NOR proves it to you
God Is Love, Jesus proves it! ∴ we are

I just stopped running this project due to this issue.

The short runs are fine, but I can't complete all the long runs.

If there were a steady supply of short runs, I'd be ok, but there's not. So either I (a) crunch a long run for 4 days, go over the deadline, and end up wasting my effort, or (b) sit idle most of the time waiting for short runs to show up.

No thanks, I'll check back later down the road when/if I get better hardware.