SETI@home v8.22 Windows GPU applications support thread

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Profile Michael Christoffersen
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Message 1999906 - Posted: 27 Jun 2019, 12:25:30 UTC

Call me insane (I'm ok with that!)

But... I run 8 WU's on my 7850/2gb (8 x 40min) and I run 4 WU's on my GTX 680/2gb (4 x 90min)

Surely we're not going to argue which card does the job better.

As far as I have read (like anywhere) Team green is capped at 4 WU's, and Team red is capped at 8-12 WU's.
But I can be wrong, so correct me if I am wrong :)

Anyway, have a nice day and all that :)
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Message 1999909 - Posted: 27 Jun 2019, 12:33:25 UTC - in response to Message 1999906.  
Last modified: 27 Jun 2019, 12:36:35 UTC

Call me insane (I'm ok with that!)

But... I run 8 WU's on my 7850/2gb (8 x 40min) and I run 4 WU's on my GTX 680/2gb (4 x 90min)

Surely we're not going to argue which card does the job better.

As far as I have read (like anywhere) Team green is capped at 4 WU's, and Team red is capped at 8-12 WU's.
But I can be wrong, so correct me if I am wrong :)

Anyway, have a nice day and all that :)


You did confirm that each increase in running gpu tasks in parallel increased your total production on the card?
Sometimes if you will notice when you go from say 1 task to 2 tasks, the amount of time each task takes to run is more than double the time it takes 1 task to run.
In that case, running tasks in parallel actually lowers your production.

Each system/card is different. Experimentation and recording results has the final say.

Tom
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Message 1999918 - Posted: 27 Jun 2019, 13:02:34 UTC - in response to Message 1999909.  

I did notice that, and I am no math gene, but if I remember correctly, 1 WU took about 20min on the 7850, and now 8 WU's takes about 40min each. I can deal with that. On my GTX 680, well... Lets just say that my 680 card isnt really up for the task(s) hehe :)
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Message 1999988 - Posted: 27 Jun 2019, 21:15:46 UTC - in response to Message 1999918.  

I did notice that, and I am no math gene, but if I remember correctly, 1 WU took about 20min on the 7850, and now 8 WU's takes about 40min each. I can deal with that. On my GTX 680, well... Lets just say that my 680 card isnt really up for the task(s) hehe :)


If my experience applies, it sounds like you should scale up 20 X 8 = 160 minutes if there was no loss in speed. It sounds like we are talking about 40 X 8 = 320 minute total. If I am not confused that is about a 50% reduction in processing speed per task.

(1440 / 20 ) * 1 = 72 tasks a day.
(1440 / 40 ) * 8 = 288 tasks a day.

So if the number you gave me are fairly accurate you are seeing a very large increase in production.

Congratulations!

Tom
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Message 1999998 - Posted: 27 Jun 2019, 22:52:27 UTC - in response to Message 1999988.  
Last modified: 27 Jun 2019, 23:02:06 UTC

I did notice that, and I am no math gene, but if I remember correctly, 1 WU took about 20min on the 7850, and now 8 WU's takes about 40min each. I can deal with that. On my GTX 680, well... Lets just say that my 680 card isnt really up for the task(s) hehe :)

If my experience applies, it sounds like you should scale up 20 X 8 = 160 minutes if there was no loss in speed. It sounds like we are talking about 40 X 8 = 320 minute total. If I am not confused that is about a 50% reduction in processing speed per task.
(1440 / 20 ) * 1 = 72 tasks a day.
(1440 / 40 ) * 8 = 288 tasks a day.
So if the number you gave me are fairly accurate you are seeing a very large increase in production.
Congratulations!
Tom


. . Hi Tom,

. . If one at a time takes 20 mins that is 20 mins/task, if 8 at once takes 40 mins then that is 40/8 =5 mins/task, that is a 75% reduction in processing time or a 400% increase in speed (20 mins = 4 tasks instead of 1). That seems an unlikely improvement unless it was very badly configured when running 1 at a time. If running onesies under SoG the GPU tends to run at over 90% efficiency but to achieve that level of improvement it would have had to be less than 25% efficiency.

. . Considering he is running Cuda42 on the Nvidia card I am guessing it is also very badly configured and would achieve much better results if he changed over to SoG and ran onesies. It would probably just about halve the run times per task on that rig.

Stephen

? ?
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Message 2000002 - Posted: 27 Jun 2019, 23:07:47 UTC - in response to Message 1999906.  

Call me insane (I'm ok with that!)

But... I run 8 WU's on my 7850/2gb (8 x 40min) and I run 4 WU's on my GTX 680/2gb (4 x 90min)

Surely we're not going to argue which card does the job better.

As far as I have read (like anywhere) Team green is capped at 4 WU's, and Team red is capped at 8-12 WU's.
But I can be wrong, so correct me if I am wrong :)


Anyway, have a nice day and all that :)


. . When testing I have run 8 at a time on GTX970s with 4GB without trouble. So the cap is only a matter of how far you want to push it and how much you are willing to reduce the operating efficiency. Generally it is better to run SoG and just do the one or maybe 2 at a time.

Stephen

:(
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Message 2000012 - Posted: 28 Jun 2019, 0:11:26 UTC - in response to Message 2000002.  

Generally it is better to run SoG and just do the one or maybe 2 at a time.

Stephen

:(


No, that is not true. Sorry Stephen....

The rule is, how much Memory does the GPU have and how much of it is available for use in OpenCl applications.

The 970s only has 3.5GB. Yes we all know it says 4 on the box but it's really only 3.5

Nvidia cards are limited to 27% of available RAM for use in OpenCl. Intel and ATI cards are up around 50-67% of the RAM of the card.

So when setting the commandlines for SoG, you have to figure in how much RAM per work and then figure out how many parallel work units you can run.

With 980ti you can run 3 instances and with the new 2080Ti you can run4 instances.

Since I've never had an ATI card, I can't tell you how many you can do but it's fairly obviously that it will be more than what can run on Nvidia.

Good luck.

Z
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Message 2000044 - Posted: 28 Jun 2019, 4:56:25 UTC - in response to Message 2000012.  
Last modified: 28 Jun 2019, 4:57:44 UTC

So when setting the commandlines for SoG, you have to figure in how much RAM per work and then figure out how many parallel work units you can run.

All I care about it what produces the most work per hour. For CUDA50, depending on your hardware, 2, 3 or even 4 WUs at a time would produce the most work per hour.
For SoG, no matter what settings I have used, running 1 WU at a time has always produced the most work per hour.
Just because a card can run more than 1 WU at a time doesn't mean it's a good idea.
Grant
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Message 2000095 - Posted: 28 Jun 2019, 13:38:05 UTC - in response to Message 2000044.  

For me running 3 at a time under SoG was much faster than 1.

The person I know currently running 2080Ti, it's 4 SoG at a time.

It's the GPU that makes the difference.
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Message 2009349 - Posted: 26 Aug 2019, 14:40:52 UTC

From Lunatics installer v.045, which app is the best for a nvidia RTX 2060 super?

Is is Cuda 50 or SOG?
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Message 2009350 - Posted: 26 Aug 2019, 14:45:42 UTC - in response to Message 2009349.  

Seems that the driver doesn't suport opencl. any help?

26-08-2019 15:43:33 | | CUDA: NVIDIA GPU 0: GeForce RTX 2060 SUPER (driver version 436.02, CUDA version 10.1, compute capability 7.5, 4096MB, 3030MB available, 14492 GFLOPS peak)
26-08-2019 15:43:33 | | OpenCL CPU: AMD Ryzen 7 2700 Eight-Core Processor (OpenCL driver vendor: Intel(R) Corporation, driver version 4.2.0.148, device version OpenCL 1.2 (Build 148))
26-08-2019 15:43:33 | SETI@home | Found app_info.xml; using anonymous platform
26-08-2019 15:43:33 | | App version needs OpenCL but GPU doesn't support it
26-08-2019 15:43:33 | | App version needs OpenCL but GPU doesn't support it
26-08-2019 15:43:33 | | App version needs OpenCL but GPU doesn't support it
26-08-2019 15:43:33 | | App version needs OpenCL but GPU doesn't support it
26-08-2019 15:43:33 | | App version needs OpenCL but GPU doesn't support it
26-08-2019 15:43:33 | | App version needs OpenCL but GPU doesn't support it
26-08-2019 15:43:33 | | App version needs OpenCL but GPU doesn't support it
26-08-2019 15:43:33 | | App version needs OpenCL but GPU doesn't support it
26-08-2019 15:43:33 | | App version needs OpenCL but GPU doesn't support it
26-08-2019 15:43:33 | | App version needs OpenCL but GPU doesn't support it
26-08-2019 15:43:33 | | App version needs OpenCL but GPU doesn't support it
26-08-2019 15:43:33 | | App version needs OpenCL but GPU doesn't support it
26-08-2019 15:43:33 | | App version needs OpenCL but GPU doesn't support it
26-08-2019 15:43:33 | | App version needs OpenCL but GPU doesn't support it
26-08-2019 15:43:33 | | App version needs OpenCL but GPU doesn't support it
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Message 2009353 - Posted: 26 Aug 2019, 15:11:30 UTC

On Windows machines currently SoG wins over CUDA.
However it would appear that some recent Windows driver installations don't have the OpenCL driver in the pack :-(
So try have a look at the drivers from nVidia to see if they are any better.
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Message 2009422 - Posted: 26 Aug 2019, 21:50:19 UTC - in response to Message 2009350.  

Seems that the driver doesn't suport opencl. any help?

26-08-2019 15:43:33 | | CUDA: NVIDIA GPU 0: GeForce RTX 2060 SUPER (driver version 436.02, CUDA version 10.1, compute capability 7.5, 4096MB, 3030MB available, 14492 GFLOPS peak)
26-08-2019 15:43:33 | | OpenCL CPU: AMD Ryzen 7 2700 Eight-Core Processor (OpenCL driver vendor: Intel(R) Corporation, driver version 4.2.0.148, device version OpenCL 1.2 (Build 148))
26-08-2019 15:43:33 | SETI@home | Found app_info.xml; using anonymous platform
26-08-2019 15:43:33 | | App version needs OpenCL but GPU doesn't support it

You don't have the Nvidia OpenCL driver installed. BOINC is only detecting the Intel OpenCL driver for your iGPU. You need the Nvidia one too. Download the Nvidia driver package directly from Nvidia. It would also be smart to use the DDU graphics drivers uninstaller to clean out all the remnants of previous drivers. Then you still have to figure out a way to prevent Microsoft from installing its broken version of the drivers that are missing the OpenCL component.
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Message 2009430 - Posted: 26 Aug 2019, 22:32:49 UTC

Several 15fe13aa GPU tasks that appear to have problems doing much other than hitting the time limit, on my computer and sometimes at least one more computer:

https://setiathome.berkeley.edu/result.php?resultid=7994394950
https://setiathome.berkeley.edu/result.php?resultid=7994394951
https://setiathome.berkeley.edu/result.php?resultid=7994394956
https://setiathome.berkeley.edu/result.php?resultid=7994394831
at least three more that are no longer visible on the server

These all gave:

Exit status 197 (0x000000C5) EXIT_TIME_LIMIT_EXCEEDED

One more in progress that appears close to doing the same:

Application
SETI@home v8 8.22 (opencl_nvidia_SoG)
Name
15fe13aa.27106.7020.3.30.56
State
Running
Received
8/26/2019 6:49:43 AM
Report deadline
9/15/2019 5:59:24 PM
Resources
0.531 CPUs + 1 NVIDIA GPU
Estimated computation size
70,727 GFLOPs
CPU time
00:00:12
CPU time since checkpoint
00:00:12
Elapsed time
00:59:17
Estimated time remaining
6d 18:56:20
Fraction done
0.603%
Virtual memory size
128.34 MB
Working set size
104.50 MB
Directory
slots/7
Process ID
10988
Progress rate
0.720% per hour
Executable
setiathome_8.22_windows_intelx86__opencl_nvidia_SoG.exe

Could you check if these share at least one bad input file?
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Message 2009433 - Posted: 26 Aug 2019, 22:36:28 UTC - in response to Message 2009430.  

Several 15fe13aa GPU tasks that appear to have problems doing much other than hitting the time limit, on my computer and sometimes at least one more computer:
These all gave:
Exit status 197 (0x000000C5) EXIT_TIME_LIMIT_EXCEEDED
Could you check if these share at least one bad input file?

. . the first question is ... have you been doing lot of task rescheduling?

Stephen

?
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Message 2009437 - Posted: 26 Aug 2019, 22:55:54 UTC - in response to Message 2009430.  

Several 15fe13aa GPU tasks that appear to have problems doing much other than hitting the time limit, on my computer and sometimes at least one more computer:

https://setiathome.berkeley.edu/result.php?resultid=7994394950
https://setiathome.berkeley.edu/result.php?resultid=7994394951
https://setiathome.berkeley.edu/result.php?resultid=7994394956
https://setiathome.berkeley.edu/result.php?resultid=7994394831
at least three more that are no longer visible on the server

These all gave:

Exit status 197 (0x000000C5) EXIT_TIME_LIMIT_EXCEEDED

One more in progress that appears close to doing the same:

Application
SETI@home v8 8.22 (opencl_nvidia_SoG)
Name
15fe13aa.27106.7020.3.30.56
State
Running
Received
8/26/2019 6:49:43 AM
Report deadline
9/15/2019 5:59:24 PM
Resources
0.531 CPUs + 1 NVIDIA GPU
Estimated computation size
70,727 GFLOPs
CPU time
00:00:12
CPU time since checkpoint
00:00:12
Elapsed time
00:59:17
Estimated time remaining
6d 18:56:20
Fraction done
0.603%
Virtual memory size
128.34 MB
Working set size
104.50 MB
Directory
slots/7
Process ID
10988
Progress rate
0.720% per hour
Executable
setiathome_8.22_windows_intelx86__opencl_nvidia_SoG.exe

Could you check if these share at least one bad input file?

Interesting timminator2 is having the same issue on the 22ap11 VHAR tasks. Any other series runs fine on the gpu. I think the driver is at fault. He is running the latest 436 driver and I think that is the issue. What driver are you running?

I have processed the very same WU species he is exceeding time limits with no issues on either cpu or gpus.
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Message 2009438 - Posted: 26 Aug 2019, 22:58:06 UTC - in response to Message 2009433.  
Last modified: 26 Aug 2019, 23:00:27 UTC

Several 15fe13aa GPU tasks that appear to have problems doing much other than hitting the time limit, on my computer and sometimes at least one more computer:
These all gave:
Exit status 197 (0x000000C5) EXIT_TIME_LIMIT_EXCEEDED
Could you check if these share at least one bad input file?

. . the first question is ... have you been doing lot of task rescheduling?

Stephen

?

Timminator2 hasn't been doing any task rescheduling. He can run BLC and other Arecibo tasks but those VHAR tasks are all erroring out with time exceeded and no progress being shown. The 436 drivers are what I would consider beta since they added all kinds of experimental features like integer scaling.
https://setiathome.berkeley.edu/result.php?resultid=7993094550
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Message 2009439 - Posted: 26 Aug 2019, 23:06:55 UTC - in response to Message 2009430.  

Several 15fe13aa GPU tasks that appear to have problems doing much other than hitting the time limit, on my computer and sometimes at least one more computer:

https://setiathome.berkeley.edu/result.php?resultid=7994394950
https://setiathome.berkeley.edu/result.php?resultid=7994394951
https://setiathome.berkeley.edu/result.php?resultid=7994394956
https://setiathome.berkeley.edu/result.php?resultid=7994394831
at least three more that are no longer visible on the server

These all gave:

Exit status 197 (0x000000C5) EXIT_TIME_LIMIT_EXCEEDED

One more in progress that appears close to doing the same:

Application
SETI@home v8 8.22 (opencl_nvidia_SoG)
Name
15fe13aa.27106.7020.3.30.56
State
Running
Received
8/26/2019 6:49:43 AM
Report deadline
9/15/2019 5:59:24 PM
Resources
0.531 CPUs + 1 NVIDIA GPU
Estimated computation size
70,727 GFLOPs
CPU time
00:00:12
CPU time since checkpoint
00:00:12
Elapsed time
00:59:17
Estimated time remaining
6d 18:56:20
Fraction done
0.603%
Virtual memory size
128.34 MB
Working set size
104.50 MB
Directory
slots/7
Process ID
10988
Progress rate
0.720% per hour
Executable
setiathome_8.22_windows_intelx86__opencl_nvidia_SoG.exe

Could you check if these share at least one bad input file?

I'm not having any issues with these 15fe13 VHAR tasks either.
https://setiathome.berkeley.edu/results.php?userid=14084&offset=400&show_names=1&state=4&appid=
https://setiathome.berkeley.edu/result.php?resultid=7994671224

I'm still running the 430.40 drivers.
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Message 2009443 - Posted: 27 Aug 2019, 0:09:20 UTC - in response to Message 2009433.  

Several 15fe13aa GPU tasks that appear to have problems doing much other than hitting the time limit, on my computer and sometimes at least one more computer:
These all gave:
Exit status 197 (0x000000C5) EXIT_TIME_LIMIT_EXCEEDED
Could you check if these share at least one bad input file?

. . the first question is ... have you been doing lot of task rescheduling?

Stephen

?

What is task rescheduling?

SETI@Home is not the only GPU BOINC project this computer is connected to, though.
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Message 2009449 - Posted: 27 Aug 2019, 0:32:52 UTC - in response to Message 2009443.  

. . the first question is ... have you been doing a lot of task rescheduling?
Stephen
?

What is task rescheduling?
SETI@Home is not the only GPU BOINC project this computer is connected to, though.


. . OK, that answers that question :)

. . Keith seems to be onto something so maybe take his advice and roll back your video drivers ...

Stephen

. .
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