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ignasiSend message
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A batch of 500 WUs *_TRYP_* have been sent and will take TWICE as much to compute than normal.We are talking of 10 nanoseconds of simulation per WU! (for what most people still use big fat supercomputers). We need them for a very interesting publication we are preparing related to this experiment. Many thanks for the effort! |
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ignasiSend message
Joined: 10 Apr 08 Posts: 254 Credit: 16,836,000 RAC: 0 Level
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So will take the 10 *meta_pYEEI*. |
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Old manSend message
Joined: 24 Jan 09 Posts: 42 Credit: 16,676,387 RAC: 0 Level
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Link dont work. Link are:http://www."http.com//www.youtube.com/watch?v=XnjmHYUvFW4%22
Maybe you mean:http://www.youtube.com/watch?v=XnjmHYUvFW4 |
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Link dont work. Link are:http://www."http.com//www.youtube.com/watch?v=XnjmHYUvFW4%22
Maybe you mean:http://www.youtube.com/watch?v=XnjmHYUvFW4
You mean: http://www.youtube.com/watch?v=XnjmHYUvFW4
The sad thing about these work units is the 56% GPU usage (on a GTX 480) |
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Old manSend message
Joined: 24 Jan 09 Posts: 42 Credit: 16,676,387 RAC: 0 Level
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Link dont work. Link are:http://www."http.com//www.youtube.com/watch?v=XnjmHYUvFW4%22
Maybe you mean:http://www.youtube.com/watch?v=XnjmHYUvFW4
You mean: http://www.youtube.com/watch?v=XnjmHYUvFW4
The sad thing about these work units is the 56% GPU usage (on a GTX 480)
To url: Yes.
My gtx 460 gpu usage are 80 %
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I have one that was already 25% done when I saw this post and turned HT off, shaders turned up to 1756 (mv 1138)... bring on ALL 10 ms WUs!!!
On WinXP Pro 32 - I am now getting 68% usage.
@TAPIO - I don't see any of these new TRYP type of WUs on your machine - what kind of WU are you talking about on the 80% usage?
____________
Thanks - Steve |
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skgivenVolunteer moderator Volunteer tester
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Different Task types utilize the GPU to different extents as the calculations differ. I have seen tasks from around 53% to as much as 93%.
The *_TRYP_* task I have used 66% GPU on a GTX260 when all 4 CPU cores were being used elsewhere. When I freed up one core to allow the GPUGrid task to run faster it only rose to 68% GPU utilization, but the CPU utilization only fell to 84%, not 75%. So the system and WU together are using about 9% of the CPU, or 36% of one core. Typically XP uses about 3% CPU, so the task is using about 24% of one core. When CPU competition is higher (contention) it slows the GPU tasks down; the GPU has to wait for the CPU to run some calculations, so it helps to have a core/thread free, but may not be seen looking at the GPU utilization alone. With the 8 or 12 threads on an i7 this is not as much of a CPU loss as with a Q8400, or a dual core. Obviously the bigger Fermi cards benefit more from a free core, as do systems with multiple GPUs. The *_TRYP_* task should take about 9h, all being well.
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I've completed two new 'fatty' WUs on two different computers.
The first one finished in 9 hours 11 minutes (13.23ms/setp). (GTX 480 and C2Q 9550)
The second one finished in 9 hours 51 minutes (14.2ms/setp). (GTX 480 and C2Q 6600)
I realized how much these WUs CPU dependent. (I use the SWAN_SYNC=0 setting on both computers)
Both tasks were 2.5 millon steps.
But I don't understand how could these get the same credit as Snow Crash's 1.82 million step wu, which took only 6 hours 54 minutes (9.1ms/step). (GTX 480 and i7 920)
An i7 920 is faster than a C2Q 9550, but I think not that much. (especially the FP units almost the same fast)
I also don't understand the different GPU clock rates of Snow Crash's task. (1.59GHz, 1.40GHz, 1.74GHz, 1.40GHz, and 1.40GHz) (this computer have only one GPU, maybe the GPU clock changed while crunching this task, and restarted 4 times?) |
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Old manSend message
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I have one that was already 25% done when I saw this post and turned HT off, shaders turned up to 1756 (mv 1138)... bring on ALL 10 ms WUs!!!
On WinXP Pro 32 - I am now getting 68% usage.
@TAPIO - I don't see any of these new TRYP type of WUs on your machine - what kind of WU are you talking about on the 80% usage?
Oops. Sorry, i read wrong theard. :-) My WUs are IBUCH and these use 80% of gpu.
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I like this wu:
http://img.lbzh.fr/images/capturexqx.png
it is not part of the 500 wus?
____________
(boinc since 1/04/09), Alliance Francophone
GA-P55A-UD5, i7 860 2.8 Ghz, Win 7 64 bits, 8 g DDR3 de ram, 2 To DD + 750 ext, boitier Haf 922 + 2 ventilo 120 noctua, ventirad noctua NH-U12P SE2, GTX 470 zotac amp edition, écran 25" |
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It's not. |
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ok
____________
(boinc since 1/04/09), Alliance Francophone
GA-P55A-UD5, i7 860 2.8 Ghz, Win 7 64 bits, 8 g DDR3 de ram, 2 To DD + 750 ext, boitier Haf 922 + 2 ventilo 120 noctua, ventirad noctua NH-U12P SE2, GTX 470 zotac amp edition, écran 25" |
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skgivenVolunteer moderator Volunteer tester
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I've completed two new 'fatty' WUs on two different computers.
The first one finished in 9 hours 11 minutes (13.23ms/setp). (GTX 480 and C2Q 9550)
The second one finished in 9 hours 51 minutes (14.2ms/setp). (GTX 480 and C2Q 6600)
I realized how much these WUs CPU dependent. (I use the SWAN_SYNC=0 setting on both computers)
Both tasks were 2.5 millon steps.
But I don't understand how could these get the same credit as Snow Crash's 1.82 million step wu, which took only 6 hours 54 minutes (9.1ms/step). (GTX 480 and i7 920)
An i7 920 is faster than a C2Q 9550, but I think not that much. (especially the FP units almost the same fast)
I also don't understand the different GPU clock rates of Snow Crash's task. (1.59GHz, 1.40GHz, 1.74GHz, 1.40GHz, and 1.40GHz) (this computer have only one GPU, maybe the GPU clock changed while crunching this task, and restarted 4 times?)
If you look at the difference between your Q9550 and Q6600 you will get an idea of the importance of the CPU; 40min less on the faster CPU.
The different GPU clock rates are as a result of changing the clock speed.
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hello to all ;)
i have 3 questions atm:
1.)
why i only get applications for cuda ( 6.05 ) and my card is ready for cuda 3.1 ?
win7 x64
gtx 260
2.)
why are so lees wu´s on the server and only 2 WU´s maximum ???
3.) can you optimize the apps to more gpu usage ?
lg
Norman |
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If you look at the difference between your Q9550 and Q6600 you will get an idea of the importance of the CPU; 40min less on the faster CPU.
I realized this difference. I concluded this project should renamed to GPUCPUgrid :)
I have an idea: GPUgrid should be a multi CPU threaded project. In this way a GPUgrid task would get the sufficient CPU power when needed, because GPUgrid runs at higher priority than my other project (Rosetta). Maybe we shouldn't dedicate one CPU core to each GPU then. But if we have to, and the credit gain is more than my other CPU project can earn, I will detach from the other project.
As far as I can recall, other kinds of WUs do not depend on the CPU speed to this extent. |
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MarkJ Volunteer moderator Volunteer tester Send message
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hello to all ;)
i have 3 questions atm:
1.)
why i only get applications for cuda ( 6.05 ) and my card is ready for cuda 3.1 ?
win7 x64
gtx 260
2.)
why are so lees wu´s on the server and only 2 WU´s maximum ???
3.) can you optimize the apps to more gpu usage ?
lg
Norman
The apps are mostly compiled using cuda (2.3 from memory). The fact that you have a more up to date driver that supports up to cuda 3.1 means its also backwards compatible.
The main changes for cuda 3.1 are targeted to the fermi-based cards (GTX4xx) and don't offer any advantage to the older cards such your GTX260. There is no reason to recompile them for cuda 3.1 if its not going to use any of the new features and still work on older cards. There is a cuda 3.1 app for the fermi-based cards.
There are only a few wu available at the moment as the project is switching to a new type of work unit. See the news item on the front page for more details about that.
The specific limit of 2 wu is so the project can get results back quickly. They use the results from one set of wu to generate the next set, so unless they come back quickly it holds things up. It also stops people hogging the work units and allows more people to get some.
As for optimising the guys do that regularly. If you run a tool call GPU-Z it will show you how hard the graphics card is working. Typically this is quite high. As they say on the home page we are doing work that normally is run on a super computer.
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You should adjust bonus lines accordingly if you know something like this is coming. The 'sophisticated' BOINC management makes sure at times my 9800GT will get those monster WUs while the GTX 295 crunches usual WUs.
Difference: 21,239.74 vs 17,699.78 (just because I managed to swap cards somehow by snooze GPU). Otherwise probably just: 14,159.83.
I do not like to see being punished for adding more computing power to the project.
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OK, thank you Mark !
what is with open-cl support to bring up the ATI-power to the project ?
here is a post from timo strunk about open_cl ( developer poem@home ):
Hi everybody,
So, first of all: We will not use CUDA in our app. OpenCL can do everything CUDA can do and there's really no need to use it anymore (however that's my opinion). Apart from that we are working hard to get everything to work in Single Precision. So far our forcefields are exact in single precision with the exception of our Solvent Accessible Surface Area term, which will be deployed on the CPU for the moment. The new SASA forcefield is about 7 times faster than the old one on the CPU already though and during the next time somebody will be working to deploy it also on GPUs.
So the GPU part will be single precision and OpenCL; there's also no question whether we release first ATI or NVidia - these two releases won't be more than 1-2 days apart for sure, because the code is not different apart from optimization parameters. Personally I use the ATI Stream SDK on CPU for debugging bugs usually.
As to release dates: Well we were a bit off, when we estimated POEM++ to be done for the end of CASP, therefore at the moment we are hesitant to specify an immediate release date. The CPU part however is done and we are thinking to release it first, because it also gives already quite a speedup.
Best,
Timo |
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I completed one of the _revlo_TRYP_ Work Units on my GTX470:
2889900 1844414 28 Aug 2010 8:02:33 UTC 28 Aug 2010 21:44:16 UTC Completed and validated 38,875.28 38,863.08 14,159.83 21,239.74 ACEMD2: GPU molecular dynamics v6.11 (cuda31)
These were actually a bit shy when it came to the points:
If my Fermi just crunched these tasks it would only bring 47K per day. Most other tasks get around 60K per day and one or two task types better that. My Fermi's RAC is about 62K despite the shortage and the odd slower task.
It's the same story for the other cards; my GTX260 and GT240 both got less points crunching these _revlo_TRYP_ tasks than the other types.
Anyway, there was not too many of them, and it was for a good cause - to get a publication out.
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ignasi,
ftpd had a failure running a _revlo_TRYP_ task on a reliable GTS250:
2891437 1845526 28 Aug 2010 20:18:12 UTC 30 Aug 2010 15:36:28 UTC Error while computing 128,347.85 15,342.13 14,159.83 --- ACEMD2: GPU molecular dynamics v6.05 (cuda)
The failure occurred close to the expected finish time,
The system cannot find the path specified. (0x3) - exit code 3 (0x3)
Run time 128347.851675 (35h+)
CPU time15342.13
Outcome Client error
Client state Compute error
Validate state Invalid
This application has requested the Runtime to terminate it in an unusual way.
Please contact the application's support team for more information.
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GDFVolunteer moderator Project administrator Project developer Project tester Volunteer developer Volunteer tester Project scientist Send message
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I've completed two new 'fatty' WUs on two different computers.
The first one finished in 9 hours 11 minutes (13.23ms/setp). (GTX 480 and C2Q 9550)
The second one finished in 9 hours 51 minutes (14.2ms/setp). (GTX 480 and C2Q 6600)
I realized how much these WUs CPU dependent. (I use the SWAN_SYNC=0 setting on both computers)
Both tasks were 2.5 millon steps.
But I don't understand how could these get the same credit as Snow Crash's 1.82 million step wu, which took only 6 hours 54 minutes (9.1ms/step). (GTX 480 and i7 920)
An i7 920 is faster than a C2Q 9550, but I think not that much. (especially the FP units almost the same fast)
I also don't understand the different GPU clock rates of Snow Crash's task. (1.59GHz, 1.40GHz, 1.74GHz, 1.40GHz, and 1.40GHz) (this computer have only one GPU, maybe the GPU clock changed while crunching this task, and restarted 4 times?)
This is not 1.8M steps. It's still 2.5M steps but the last restart till it finished was of 1.8M steps. (maybe the message could be clearer).
gdf |
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MarkJ Volunteer moderator Volunteer tester Send message
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OK, thank you Mark !
what is with open-cl support to bring up the ATI-power to the project ?
here is a post from timo strunk about open_cl ( developer poem@home ):
Hi everybody,
So, first of all: We will not use CUDA in our app. OpenCL can do everything CUDA can do and there's really no need to use it anymore (however that's my opinion). Apart from that we are working hard to get everything to work in Single Precision. So far our forcefields are exact in single precision with the exception of our Solvent Accessible Surface Area term, which will be deployed on the CPU for the moment. The new SASA forcefield is about 7 times faster than the old one on the CPU already though and during the next time somebody will be working to deploy it also on GPUs.
So the GPU part will be single precision and OpenCL; there's also no question whether we release first ATI or NVidia - these two releases won't be more than 1-2 days apart for sure, because the code is not different apart from optimization parameters. Personally I use the ATI Stream SDK on CPU for debugging bugs usually.
As to release dates: Well we were a bit off, when we estimated POEM++ to be done for the end of CASP, therefore at the moment we are hesitant to specify an immediate release date. The CPU part however is done and we are thinking to release it first, because it also gives already quite a speedup.
Best,
Timo
The main problem with OpenCL is it doesn't have the library support and developer tools that CUDA has. CUDA has been around longer. Eventually that will change. There is an FFT libray supplied with CUDA that a number of the projects make use of. From what I gather there isn't an equivilent one with OpenCL.
From the project point of view OpenCL would be the way to go as you only need one app (however you have to compile with each manufacturers compiler to work on that brand). The coding is different so the apps that have been developed need to be rewritten to work under OpenCL (which all takes time and effort).
It will get there eventually, it just takes a long time for OpenCL to catch up to CUDA.
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This is not 1.8M steps. It's still 2.5M steps but the last restart till it finished was of 1.8M steps. (maybe the message could be clearer).
gdf
Oh, now it's perfectly clear.
Thank you.
I overclocked my CPU by 20% since then, and the GPU usage had risen 10%.
So I guess it would be better to upgrade my CPU (+MB and RAM of course) to achieve higher GPU usage. |
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SpeedySend message
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Have all the Fatty wu's been sent out & how big are the files that get uploaded? We are talking of 10 nanoseconds of simulation per WU
I don't understand. 10 nanoseconds of simulation per WU isn't very long at all. how come the Fatty units are taking twice as long? |
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I thought most of the 500 had been sent and returned but there are a few still available/running.
The tasks are about 2 to 4 times as long as normal tasks, though there is quite a variety of task lengths at the present time. |
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GDFVolunteer moderator Project administrator Project developer Project tester Volunteer developer Volunteer tester Project scientist Send message
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Each of those 500 will be reissued 10 times to achieve 100 ns of total simulation time each.
gdf |
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ftpd Send message
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Ignasi,
It is now a few days ago and still no answer on this question.
Can you please give an exploination for this error?
Thanks!
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Ton (ftpd) Netherlands |
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GDFVolunteer moderator Project administrator Project developer Project tester Volunteer developer Volunteer tester Project scientist Send message
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Ignasi was abroad, but what error are you referring to?
gdf |
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ftpd Send message
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gdf,
Thanks for the reply. See message 18476 from skgiven!
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Ton (ftpd) Netherlands |
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jjwhalen Send message
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I'm curious. I'm currently crunching TRYP WU 1859786 which I got at the end of the server outage. Its info page says its's not a resend but a first-time d/l. Is this part of the original batch of 500 or a new batch?
Oh...belated congratulations on getting the servers back up again: you were missed, but I'm sure Collatz appreciated the overflow ;D
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skgivenVolunteer moderator Volunteer tester
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To quote GDF, "Each of those 500 will be reissued 10 times to achieve 100 ns of total simulation time each".
Basically a batch of 500 was created, sent out, returned, and used to build another 500. When these are returned they will create another 500 and so on for 10 times.
This highlights the importance of fast turnaround.
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ftpd Send message
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Skgiven & Ignasi,
Again two WU aborted after a lot of hours processing at the same machine/card.
Can you please take a look and reply?
Thanks
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Ton (ftpd) Netherlands |
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ignasiSend message
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@ftpd
The errors you are referring to do not come exclusively from WUs from the 'fatty' batch. This and this are HIVPR and only this one is a fatty WU.
Similar errors are reported in 9800 GT here.
App developers are already aware of it.
thanks |
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skgivenVolunteer moderator Volunteer tester
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Motivated to make a systemic suggestion here. Thanks,
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That's a funny error - it looks like a driver bug affecting GTX9800 (which is what a GTS250 is, too). What driver version do you have?
Matt |
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Well, if it’s a driver bug then the same bug in driver 19713 is still there in driver 25896, and effects both the 9800 GT (511MB) and the 1GB version of the GTS250, suggesting this one is not related to memory size.
It would be interesting to see if the bug was present for 6.11 tasks; With the CUDA 3.1 based app rather than 2.3 files.
3.1 might be slower for the older cards but if there were fewer errors, overall it could be faster.
ftpd, at the time of the errors did you have other (non-GPUGrid) GPU tasks running? |
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@skgiven,
At that time only gpugrid was running, gts250 can only do one job.
RNA World was running using CPU.
Later that week two other WU also were aborted. HIVPR?
Enough information?
Good luck
____________
Ton (ftpd) Netherlands |
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Hi Ton,
At that time only gpugrid was running, gts250 can only do one job. Thanks, I was just trying to determine if Collatz or other GPU tasks were overwriting your GPUGrid WU memory, can occasionally happen if you run two GPU projects on the same computer. They don’t run at the same time, but Boinc can stop one running, and suspend it in memory, to let the other run. Sometimes when this happens it can corrupt the task, but I doubt that this is the case (you only ran one Collatz task on that GPU, probably when there was a task shortage).
RNA World was running using CPU. Unless it was running Beta tasks it would not mess up the GPUGrid task. If you had lots of RNA failures on the same system, then it would be fair to say it could mess up the system and cause problems for GPU tasks (as they also have to use the CPU too).
Later that week two other WU also were aborted. HIVPR?
Enough information? Well, I expect in your case you were not video editing or playing a computer game, or you would have said. So I think so.
I see you are having to User Aborting these tasks, and I can fully understand why, they all crashed on that card. A real pain for the cruncher to sit over a system that way. I'm not keen on this situation.
As Matt said, there is a driver "related" bug:
(SWAN : FATAL : Failure executing kernel sync [transpose_float2] [700]
Assertion failed: 0, file swanlib_nv.cpp, line 121)
I just wanted to make sure there was not something else. However the same problem has been raised in two other threads,
http://www.gpugrid.net/forum_thread.php?id=2274
http://www.gpugrid.net/forum_thread.php?id=2278
We can’t do any more than ignasi did - inform the developers, and throw in a few more suggestions, if only to treat the symptoms.
The researchers have been working on new applications for a while now, 5% faster last I heard. Hopefully they can find a work around for this, as well as make the app much faster for GTX460’s and so on. |
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@skgiven,
Hi Kev,
I never aborted wu myself. There are never played games on this machine.
Just Outlook and Internet Explorer.
RNA no Beta-jobs. There were Linux-beta-jobs. No faillures.
Success!
____________
Ton (ftpd) Netherlands |
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I've discovered a new type fatty WU on one of my computers called *_IBUCH_1_pYEEI_long_*. It's running for 4 hours 15 minutes and completed 55% (GTX 480 @ 800MHz, 63% GPU usage, SWAN_SYNC=0, C2Q 9550 @ 3.71GHz).
I'm a little surprised. |
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I've discovered a new type fatty WU on one of my computers called *_IBUCH_1_pYEEI_long_*. It's running for 4 hours 15 minutes and completed 55% (GTX 480 @ 800MHz, 63% GPU usage, SWAN_SYNC=0, C2Q 9550 @ 3.71GHz).
I'm a little surprised.
It's finished in 7 hours and 47 minutes.
Details here. |
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I had a _pYEEI_long_ back in June, and posted about it. Nobody took any notice then, either. |
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Only have 145KASHIF_HIVPR_no_boundxxxx types and take 3:30 hours, depending on de # of steps, some take longer, 4 hours. CPU is an C2EX9650 @ 3.5GHz.
GPU =GTX480 @ 1.4GHz.
I've seen many wingmen, if one is used, with exit status 98 (0x62)
or 1, especially on 200 series cards, but also good ones. And FERMI's errors, too, sometimes
If I up the clock on the GPU to 1.6 or higher, it gonna make an error in a GPUgrid WU, heat isn't an issue, since the mobo is not in it's case, which makes an awfull difference, cause no heatbuild up, CPU temp is 30C lower and runs at 3.5GHz, while one of my C2Q6600's, of which one is constantly on 90C. (According to a program capable of reading the mobo's sensors and CPU diodes, which came with the mobo (ASUS P5E,X38)).
____________
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These are different tasks from those released in June; even different apps.
They may include some of the new subroutines being worked on (as with the GIANNI_DHFR1000), intended to increase turnover, or they might just need to get through more work, for a paper. Perhaps these are over-taxing the Fermi controller when the cards are overclocked, but they seem to work on GT200 series cards that are OC'd.
The double length is clearly just to annoy me, I have 6 GT240's.
On a high end Fermi 8h should not be an issue, even if you get two back to back you will complete the task in 16h (if running 24/7). If you don’t crunch that often reduce your cache. |
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These are different tasks from those released in June; even different apps.
That's great, but now they came out of the blue.
They may include some of the new subroutines being worked on (as with the GIANNI_DHFR1000), intended to increase turnover, or they might just need to get through more work, for a paper. Perhaps these are over-taxing the Fermi controller when the cards are overclocked, but they seem to work on GT200 series cards that are OC'd.
These *_IBUCH_1_pYEEI_long_* WUs not as stressing to the card as the GIANNI_DHFRs, they run at 30% lower GPU usage, therefore generating much less heat so overclocking is not an issue with those. BTW I've installed a larger cooler (Arctic Cooling Xtreme Plus + WR004 kit) on each of my GTX480s, so the larger heat dissipation of GIANNI_DHFRs is not an issue anymore, even when overclocked to 800MHz.
The double length is clearly just to annoy me, I have 6 GT240's.
On a high end Fermi 8h should not be an issue, even if you get two back to back you will complete the task in 16h (if running 24/7). If you don’t crunch that often reduce your cache.
Not just to you... I was shocked when I saw that it's been running for more than 4 hours, and it's barely completed the half of the WU. The first thing came to my mind was that my brand new coolers didn't do their job so well, and the card's been locked up. But then I saw the progress indicator is running, and it's eased my mind a little, so I could read the name of the WU :) So the "_long_" suffix was the right explanation for the long running time. I've posted about it to warn my fellow crunchers, once the crew didn't. BTW some *_IBUCH_GCY_* WUs are appearing as well, those are very long too (about 5h30m to complete on my GTX480s) |
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New type of long WUs been arrived: *-IBUCH_?_BCC_long_*
Processing of them is not started yet, so I don't know how long they will be. |
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p9-IBUCH_1_pYEEI_long_101130-2-10-RND3169_0
GeForce GTX 260/216 (Shader 1566 MHz): Runtime = 53,900.07 (~15 h), Granted credit = 23,863.26 |
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New type of long WUs been arrived: *-IBUCH_?_BCC_long_*
Processing of them is not started yet, so I don't know how long they will be.
No problem on your foureighty.
I have the half of that: a twofourty and 1 BCC_long running.
Estimated runtime: 33 hours and 50 minutes and a 30% CPU-use.
GPU-load: 62% Fan-speed: 41% Temperature: 63C. |
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skgivenVolunteer moderator Volunteer tester
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I had a _long_ IBUCH task on a GT240 (32h), and another aet1_IBUCH task that was also equally lengthy (33h). aet :)
This long IBUCH task took over 10h on a GTX470. |
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ignasiSend message
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Dear all,
Appologies for not warning you. We should have done it some days ago.
The truth is that, as always, when it comes to publishing everything is for yesterday. The only way we can speed up the time-to-answer now is by extending workunit size. As we have explained many times, our WUs are little pieces of large calculations, and one depends from the previous completed one, and so on. In this chain-process WUs are queued again. By extending the length of a WU we reduce the waiting time.
We really appreciate your special effort in computing these monsters. For this, we will grant 40% BONUS in credits with the *long* WUs. We'll do it through a command we have never used that will be tested over the weekend. If successful, we will use it for ALL NEW *long* SUBMISSIONS starting NEXT WEEK. There is a batch of 1000-1500 in preparation that will benefit from it...
Thanks a lot guys,
ignasi
PD: By the way, next week Dec 10th we're presenting some unpublished (and unprecented I have to say) results (*TRYP*,*reverse_TRYP*) in London at the Brunei Gallery for the 2010 UK Young Modellers Forum. |
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Is there a way to tell the server not to send me any of the new fatty workunits? My 9800 GT, running nearly 24/7, can complete the normal workunits in time, but not any workunits that try to take twice as long with the same allowed time to completion. Even now, about half of the workunits it tries complete with computation errors.
No problem expected with them if you also increase the allowed time to completion in proportion to the expected length, though. |
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Bring em on ... I love when you guys push the limits ... I'm working on a IBUCH_RED right now!!!
____________
Thanks - Steve |
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skgivenVolunteer moderator Volunteer tester
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Remember to keep your cache level low; no point in having a task sitting waiting for half a day before it starts. |
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My cache level was already low enough to delay getting a new workunit to perhaps 1 hour before the last one finishes. |
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ftpd Send message
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One of the big ones cancelled after 18 hrs on GTX295.
Little bit pitty!
Send me some more!
All wu's i downloaded were NO big-ones!
____________
Ton (ftpd) Netherlands |
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Dear all,
...
We really appreciate your special effort in computing these monsters. For this, we will grant 40% BONUS in credits with the *long* WUs. We'll do it through a command we have never used that will be tested over the weekend. If successful, we will use it for ALL NEW *long* SUBMISSIONS starting NEXT WEEK. There is a batch of 1000-1500 in preparation that will benefit from it...
Just completed one of your test WUs - hope this is what you expected to see. |
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skgivenVolunteer moderator Volunteer tester
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We'll do it through a command we have never used that will be tested over the weekend. It looks like the normal 50% bonus was applied. Not sure if the never used before command will be run subsequent to the task completion. I guess this will be a manual test.
Richards task,
Claimed credit 127.270717592593,
Granted credit 190.906076388889.
We will see if these numbers change. |
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Remember to keep your cache level low; no point in having a task sitting waiting for half a day before it starts.
I do not understand the cache level issue. You get two WU's and that is all. One computes and one is in cache. There is no way to change that it seems to me. On WCG I have a 3 day cache. But on GPUGrid I have not seen any cache management function.
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skgivenVolunteer moderator Volunteer tester
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Remember to keep your cache level low; no point in having a task sitting waiting for half a day before it starts.
I do not understand the cache level issue. You get two WU's and that is all. One computes and one is in cache. There is no way to change that it seems to me. On WCG I have a 3 day cache. But on GPUGrid I have not seen any cache management function.
While you could do it here, this is a Boinc wide setting and will apply to all projects. As local settings override this you might as well just set it on Boinc Manager,
Advanced Preferences, Network Usage, Additional Work Buffer, set to 0.1days or 0.01 if you prefer.
As you can see there is no GPU tab or separate GPU cache setting on Boinc and the default cache setting of 0.50days is bad for this project.
For a high end Fermi you should still get away with a 3day cache, if the GPU is optimized for performance (Free CPU core/thread, swan_sync=0, always use GPU...); you can only have one running task (per GPU) and one queued task, no matter how many days cache you set, so if your high end Fermi finishes a task in under 10h then even the queued task will finished in 20h. So 0.5days or 9days makes no odds. You just have to consider the consequences of a 4h local Internet outage, system restarts and the effect of your use on the system.
On the other hand for an entry level GPU such as a GT240, these long tasks take around 30 to 32h, so if you have a high cache the queued task will have sat waiting to run for 32h before starting, and therefore will not finish until 64h after it was sent. So you are better off with a 0.01day cache. Ideally tasks get returned within 24h and if not then within 48h. Beyond that you are late and your efforts are of less value to the project. After about 4 days your efforts become worthless to the project and might even slow it down. After 5days you don't even get any credit. Personally I would prefer this credit cut-off was 4days, to better reflect the reality of the situation.
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Remember to keep your cache level low; no point in having a task sitting waiting for half a day before it starts.
I do not understand the cache level issue. You get two WU's and that is all. One computes and one is in cache. There is no way to change that it seems to me. On WCG I have a 3 day cache. But on GPUGrid I have not seen any cache management function.
While you could do it here, this is a Boinc wide setting and will apply to all projects. As local settings override this you might as well just set it on Boinc Manager,
Advanced Preferences, Network Usage, Additional Work Buffer, set to 0.1days or 0.01 if you prefer.
As you can see there is no GPU tab or separate GPU cache setting on Boinc and the default cache setting of 0.50days is bad for this project.
For a high end Fermi you should still get away with a 3day cache, if the GPU is optimized for performance (Free CPU core/thread, swan_sync=0, always use GPU...); you can only have one running task (per GPU) and one queued task, no matter how many days cache you set, so if your high end Fermi finishes a task in under 10h then even the queued task will finished in 20h. So 0.5days or 9days makes no odds. You just have to consider the consequences of a 4h local Internet outage, system restarts and the effect of your use on the system.
On the other hand for an entry level GPU such as a GT240, these long tasks take around 30 to 32h, so if you have a high cache the queued task will have sat waiting to run for 32h before starting, and therefore will not finish until 64h after it was sent. So you are better off with a 0.01day cache. Ideally tasks get returned within 24h and if not then within 48h. Beyond that you are late and your efforts are of less value to the project. After about 4 days your efforts become worthless to the project and might even slow it down. After 5days you don't even get any credit. Personally I would prefer this credit cut-off was 4days, to better reflect the reality of the situation.
@skgiven: pls check your PM. |
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JohnMD![Avatar](user_profile/images/69855_avatar.jpg) Send message
Joined: 4 Dec 10 Posts: 5 Credit: 26,860,106 RAC: 0 Level
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After about 4 days your efforts become worthless to the project and might even slow it down. After 5days you don't even get any credit. Personally I would prefer this credit cut-off was 4days, to better reflect the reality of the situation.
My 7-year old desktop finally hit the dust, and now I have a replacement with a CUDA-card! So without reading the small print I attached to gpugrid. 4½ days later my WU completed - and now I learn that I'm probably wasting the projects time.
So maybe it's good idea to shorten the deadline to prevent GT218-hopefuls like me getting in the way :-) |
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skgivenVolunteer moderator Volunteer tester
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Joined: 23 Apr 09 Posts: 3968 Credit: 1,995,359,260 RAC: 0 Level
![Histidine - More than 1.5B credits His](img/badges/aa/badge_his.png) Scientific publications
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Your NVidia ION only has 16 cuda cores, it is well short of the recommended minimum of 96 cuda cores.
Although your ION can finish some tasks within 5days, the task was reissued after 2days to a GTX260 and returned 2days before your task, making your efforts redundant.
http://www.gpugrid.net/workunit.php?wuid=2135446
As you can see the GTX260 is 10times as fast as an ION.
Consider using your Ion on Einstein, and your CPU cores on WCG's HCMD2 or HCC projects.
I see you run FreeHal. You could also run WorkUnitProp.
Good luck, |
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For this, we will grant 40% BONUS in credits with the *long* WUs. We'll do it through a command we have never used that will be tested over the weekend. If successful, we will use it for ALL NEW *long* SUBMISSIONS starting NEXT WEEK.
Looks like those never used before commands are still not working.
I've just completed another *_long_* monster wu, normal 50% bonus been applied on it. |
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ignasiSend message
Joined: 10 Apr 08 Posts: 254 Credit: 16,836,000 RAC: 0 Level
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Looks like those never used before commands are still not working.
I've just completed another *_long_* monster wu, normal 50% bonus been applied on it.
Hi Retvari Zoltan,
This WU you are linking is actually a from a batch that is two weeks old, about to finish: 9 of 10 steps completed. By new ones submitted this week we meant brand new long batch submissions.
Which I am about to do in the next couple of days.
Thanks,
ignasi |
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By new ones submitted this week we meant brand new long batch submissions.
Which I am about to do in the next couple of days.
Ok. I can't wait to meet those :) |
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ignasiSend message
Joined: 10 Apr 08 Posts: 254 Credit: 16,836,000 RAC: 0 Level
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First batch of 500 is out.
*IBUCH_AcPYEEIP_long*
With a 40% extra bonus.
happy crunching
i |
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ignasiSend message
Joined: 10 Apr 08 Posts: 254 Credit: 16,836,000 RAC: 0 Level
![Proline - More than 10M credits Pro](img/badges/aa/badge_pro.png) Scientific publications
![Top 100% (227th/251) contribution to De Fabritiis et al, Proteins 2008 wat](img/badges/papers/badge_pub_white.png) ![Top 75% (2051st/2932) contribution to Buch et al, J. Chem. Inf. Model. 2010 wat](img/badges/papers/badge_pub_silver.png) ![Top 75% (69th/113) contribution to Giorgino et al, Comp. Phys. Commun. 2010 wat](img/badges/papers/badge_pub_silver.png) ![Top 25% (473rd/2466) contribution to Sadiq et al, Proteins 2010 wat](img/badges/papers/badge_pub_ruby.png) ![Top 25% (574th/3118) contribution to Selent et al, PLoS Comput Biol 2010 wat](img/badges/papers/badge_pub_ruby.png) ![Top 25% (960th/4410) contribution to Buch et al, PNAS 2011 wat](img/badges/papers/badge_pub_ruby.png) ![Top 25% (317th/2450) contribution to Giorgino et al, J. Chem. Theory Comput. 2011 wat](img/badges/papers/badge_pub_ruby.png) ![Top 10% (354th/9662) contribution to Buch et al, J. Chem. Theory Comput. 2011 wat](img/badges/papers/badge_pub_emerald.png) ![Top 10% (316th/5798) contribution to Sadiq et al, PNAS 2012 wat](img/badges/papers/badge_pub_emerald.png) ![Top 75% (1872nd/3349) contribution to Buch et al, JCIM 2013 wat](img/badges/papers/badge_pub_silver.png) ![Top 50% (1442nd/3864) contribution to Dainese et al, Biochem. J. 2013 wat](img/badges/papers/badge_pub_gold.png) ![Top 10% (178th/4477) contribution to Pérez-Hernández et al, JCP 2013 wat](img/badges/papers/badge_pub_emerald.png) |
First batch of 500 is out.
*IBUCH_AcPYEEIP_long*
With a 40% extra bonus.
happy crunching
i
Negative.
We encourage you to discontinue any IBUCH_AcPYEEIP_long.
They will compute well but the experiment is not correct.
My fault. I appologise. |
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ignasiSend message
Joined: 10 Apr 08 Posts: 254 Credit: 16,836,000 RAC: 0 Level
![Proline - More than 10M credits Pro](img/badges/aa/badge_pro.png) Scientific publications
![Top 100% (227th/251) contribution to De Fabritiis et al, Proteins 2008 wat](img/badges/papers/badge_pub_white.png) ![Top 75% (2051st/2932) contribution to Buch et al, J. Chem. Inf. Model. 2010 wat](img/badges/papers/badge_pub_silver.png) ![Top 75% (69th/113) contribution to Giorgino et al, Comp. Phys. Commun. 2010 wat](img/badges/papers/badge_pub_silver.png) ![Top 25% (473rd/2466) contribution to Sadiq et al, Proteins 2010 wat](img/badges/papers/badge_pub_ruby.png) ![Top 25% (574th/3118) contribution to Selent et al, PLoS Comput Biol 2010 wat](img/badges/papers/badge_pub_ruby.png) ![Top 25% (960th/4410) contribution to Buch et al, PNAS 2011 wat](img/badges/papers/badge_pub_ruby.png) ![Top 25% (317th/2450) contribution to Giorgino et al, J. Chem. Theory Comput. 2011 wat](img/badges/papers/badge_pub_ruby.png) ![Top 10% (354th/9662) contribution to Buch et al, J. Chem. Theory Comput. 2011 wat](img/badges/papers/badge_pub_emerald.png) ![Top 10% (316th/5798) contribution to Sadiq et al, PNAS 2012 wat](img/badges/papers/badge_pub_emerald.png) ![Top 75% (1872nd/3349) contribution to Buch et al, JCIM 2013 wat](img/badges/papers/badge_pub_silver.png) ![Top 50% (1442nd/3864) contribution to Dainese et al, Biochem. J. 2013 wat](img/badges/papers/badge_pub_gold.png) ![Top 10% (178th/4477) contribution to Pérez-Hernández et al, JCP 2013 wat](img/badges/papers/badge_pub_emerald.png) |
We have cancelled all UNSENT WUs for the wrong batch.
We won't force cancel any running WU (only 230 running now), they should complete fine as normally. However, we discourage their continuation.
Correct ones will be issued in few hours with a new bonus for all will be now of 50%. |
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First batch of 500 is out.
*IBUCH_AcPYEEIP_long*
With a 40% extra bonus.
happy crunching
i
Negative.
Please discontinue any IBUCH_AcPYEEIP_long.
They will compute well but the experiment it is not correct. It is wasted computing. And we all hate that.
My fault. I appologise.
I didn't mean to rush you in any way.
I've aborted 2 of those. |
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