Can someone have a quick look and let me know the problem here, a few computed fine but most errored out.

https://www.gpugrid.net/results.php?userid=524374&offset=0&show_names=0&state=5&appid=

Also, I have just started the project again on another machine with an Nvidia card and most of the time the card is idle with some second or so long spikes every now and again, is that normal?

Thanks

Can someone have a quick look and let me know the problem here, a few computed fine but most errored out.

https://www.gpugrid.net/results.php?userid=524374&offset=0&show_names=0&state=5&appid=

Also, I have just started the project again on another machine with an Nvidia card and most of the time the card is idle with some second or so long spikes every now and again, is that normal?

Thanks

Thanks, some other odd behaviour I see on the 3090 machine, it seems to start the WU at 2%, if I pause Boinc and restart later the units elapsed time resets to 0 and the percentage goes back to 2%?

The program goes through several stages. The first and second 1% stages are unpacking files from an archive, and don't need to be repeated - progress will move to 2% instantly.

The rest of the run involves the serious work, and the app doesn't work out exactly how far its progressed immediately. If you wait a few seconds or minutes (depending on the speed of the rest of the machine), it should jump back up to where it was before the restart, and continue from there in 0.98% increments.

I have the same problem. I have 109 units errored out (zero completed) between 2% and 4% completed. What is going on?

GT 1030 Nvidia card
____________

A GT 1030 with 2047 MB of video RAM will be below the minimum specification to run these tasks. Sorry about that.

There are so many GPU's out there with ONLY 2GB memory - it is inconceivable you are unable to harness this energy source.

There are so many GPU's out there with ONLY 2GB memory

Just had a unit fail on my other machine, W11 with the following:

5950x
32gb memory
3090

I have 24 cores assigned to the units and the page file is automatically set to:

Virtual Memory: Max Size: 61,366 MB
Virtual Memory: Available: 41,259 MB
Virtual Memory: In Use: 20,107 MB

I have seen higher values, over 70gb set though.

I think a second unit has crashed as well but the site has not updated yet.

Any thoughts?

https://www.gpugrid.net/result.php?resultid=33158308

Outcome Computation error
Client state Compute error
Exit status 195 (0xc3) EXIT_CHILD_FAILED

Any idea what this means?

This simply means the task failed. Some GPUgrid tasks will fail. It is somewhat inherent in the type of computation they are doing. Errors will occur with some jobs for other reasons.

What you need to look at are the details of the stderr file and see if there is anything from your system causing the problem. In this example https://www.gpugrid.net/result.php?resultid=33158308 I can see that the task restarted 5 times. While GPUgrid tasks have the ability to restart you should leave them alone and let them run. Sometimes they will fail after too many restarts.

Just had a unit fail on my other machine, W11 with the following:

5950x
32gb memory
3090

I have 24 cores assigned to the units and the page file is automatically set to:

Virtual Memory: Max Size: 61,366 MB
Virtual Memory: Available: 41,259 MB
Virtual Memory: In Use: 20,107 MB

I have seen higher values, over 70gb set though.

I think a second unit has crashed as well but the site has not updated yet.

Any thoughts?

https://www.gpugrid.net/result.php?resultid=33158308

The Python on GPU tasks ALWAYS run on the cpu.

Just had a unit fail on my other machine, W11 with the following:

5950x
32gb memory
3090

I have 24 cores assigned to the units and the page file is automatically set to:

Virtual Memory: Max Size: 61,366 MB
Virtual Memory: Available: 41,259 MB
Virtual Memory: In Use: 20,107 MB

I have seen higher values, over 70gb set though.

I think a second unit has crashed as well but the site has not updated yet.

Any thoughts?

https://www.gpugrid.net/result.php?resultid=33158308

Are you running these on your cpu?

Keith noted:

The Python on GPU tasks ALWAYS run on the cpu.

: [WinError 1455] The paging file is too small for this operation to complete. Error loading "C:\ProgramData\BOINC\slots\1\lib\site-packages\torch\lib\shm.dll" or one of its dependencies

Outcome Computation error
Client state Compute error
Exit status 195 (0xc3) EXIT_CHILD_FAILED

Any idea what this means?

Define rollouts storage
Define scheme
Created CWorker with worker_index 0
Created GWorker with worker_index 0
Created UWorker with worker_index 0
Created training scheme.
Define learner
Created Learner.

You can use tail -F from mingw64 to read wrapper_run.out file.

https://www.gpugrid.net/forum_thread.php?id=5233

I've started to see ACEMD 3 tasks are failing for me while Python GPU tasks run properly.

I run Ubuntu, RTX 3080 Driver Version: 525.60.11 (Cuda 12.0) Boinc reports Cuda1131

Any hint?

Additional data from log (Computation error):
Thu 22 Dec 2022 12:17:59 PM CET | GPUGRID | Output file 5efh-ADRIA_KDeepMD_100ns_5076-0-1-RND7448_5_9 for task 5efh-ADRIA_KDeepMD_100ns_5076-0-1-RND7448_5 absent

I run Ubuntu, RTX 3080 Driver Version: 525.60.11 (Cuda 12.0) Boinc reports Cuda1131

Just had a unit fail on my other machine, W11 with the following:

5950x
32gb memory
3090

I have 24 cores assigned to the units and the page file is automatically set to:

Virtual Memory: Max Size: 61,366 MB
Virtual Memory: Available: 41,259 MB
Virtual Memory: In Use: 20,107 MB

I have seen higher values, over 70gb set though.

I think a second unit has crashed as well but the site has not updated yet.

Any thoughts?

https://www.gpugrid.net/result.php?resultid=33158308

Are you running these on your cpu?

____________
Not just one CPU but also on all your cores plus GPU. Need to set your swap file to at least 50GB. It is memory hungry.
On message boards click on news. Only the latest two or three threads concern Python and everything is being discussed on those threads. The rest are ACMED threads. Mikey, enjoy.

There are so many GPU's out there with ONLY 2GB memory - it is inconceivable you are unable to harness this energy source.

I run Ubuntu, RTX 3080 Driver Version: 525.60.11 (Cuda 12.0) Boinc reports Cuda1131

Your driver supports CUDA 12, but the application is CUDA 11.3.1

I run Ubuntu, RTX 3080 Driver Version: 525.60.11 (Cuda 12.0) Boinc reports Cuda1131

Your driver supports CUDA 12, but the application is CUDA 11.3.1

Thx for the reply. Does this mean I should downgrade my driver to one that supports CUDA 11 to make ACEMD 3 App compatible? Python App runs properly with the current driver so this is confusing me a bit.