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  Thread: GPU Work Units - Post Your Tech Support Questions Here

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NightBlade
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Re: GPU Work Units - Post Your Tech Support Questions Here
OK, second question: I completed around 3-4 GPU WUs, but they all completed in under ten minutes. That seems erroneous. How can I troubleshoot this?
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[Apr 26, 2021 8:54:42 PM]   Link   Report threatening or abusive post: please login first  Go to top 
Falconet
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Re: GPU Work Units - Post Your Tech Support Questions Here
WHat's your GPU? That doesn't seem erroneous at all.
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AMD Ryzen 5 1600AF 6C/12T 3.2 GHz - 85W
AMD Ryzen 5 2500U 4C/8T 2.0 GHz - 28W
AMD Ryzen 7 7730U 8C/16T 3.0 GHz
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benhines
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Re: GPU Work Units - Post Your Tech Support Questions Here
Has anyone got a good solution for a host with different GPUs in it? From the limited number of workunits I've snagged so far, it looks as though my NV RTX could manage 3 or 4 simultaneously, but the onboard Intel would probably be best at one.
My current app_config is set to run them 2 at a time with a core for each (can't seem to separate the NV and Intel), but that's wasting nearly two whole cores due to the low demand for the Intel workunits
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Ian-n-Steve C.
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Re: GPU Work Units - Post Your Tech Support Questions Here
Has anyone got a good solution for a host with different GPUs in it? From the limited number of workunits I've snagged so far, it looks as though my NV RTX could manage 3 or 4 simultaneously, but the onboard Intel would probably be best at one.
My current app_config is set to run them 2 at a time with a core for each (can't seem to separate the NV and Intel), but that's wasting nearly two whole cores due to the low demand for the Intel workunits


check the options for project level configuration here: https://boinc.berkeley.edu/wiki/Client_configuration

Long story short, you need to separate your devices by type. BOINC gives you this ability to separate by plan class (which will separate by device type)

[<app_version>
       <app_name>Application_Name</app_name>
       [<plan_class>mt</plan_class>]
       [<avg_ncpus>x</avg_ncpus>]
       [<ngpus>x</ngpus>]
       [<cmdline>--nthreads 7</cmdline>]
   </app_version>]

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EPYC 7V12 / [5] RTX A4000
EPYC 7B12 / [5] RTX 3080Ti + [2] RTX 2080Ti
EPYC 7B12 / [6] RTX 3070Ti + [2] RTX 3060
[2] EPYC 7642 / [2] RTX 2080Ti
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[Edit 1 times, last edit by Ian-n-Steve C. at Apr 26, 2021 10:22:03 PM]
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SyntheticMood
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Re: GPU Work Units - Post Your Tech Support Questions Here
I am receiving multiple GPU WUs for OpenPandemics, however every single one ends with a "Computation error". I have successfully run WUs on my GPU in the past (both OpenPandemics & SETI@Home). Any suggestions on how to resolve these errors?

CPU: Intel i3-3240
OS: Windows 10, version 20H2
GPU: Nvidia GeForce GT 740, driver version 466.11
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zaschf
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Re: GPU Work Units - Post Your Tech Support Questions Here
Since the 22th of April all my OPNG are ending up with a "Computation error".
Not sure what is going on right now.
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Ubuntu 22.04.1 LTS [Linux 5.15.0-47-generic]
CPU: Intel Core i7-9700 @3.00GHz x 8
GPU: NVIDIA GeForce RTX2060 Rev. A
plus a mighty Raspberry PI 4
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zaschf
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Re: GPU Work Units - Post Your Tech Support Questions Here
Adding to my last, it pays to do a reboot after a software update, even though it didn't say so after the updates.
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Ubuntu 22.04.1 LTS [Linux 5.15.0-47-generic]
CPU: Intel Core i7-9700 @3.00GHz x 8
GPU: NVIDIA GeForce RTX2060 Rev. A
plus a mighty Raspberry PI 4
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Keith Myers
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Re: GPU Work Units - Post Your Tech Support Questions Here
Anytime the video drivers are updated, you must reboot the machine since the kernel has been recompiled with the new video drivers.
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A proud member of the OFA (Old Farts Association)
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SyntheticMood
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Re: GPU Work Units - Post Your Tech Support Questions Here
Adding to my last, it pays to do a reboot after a software update, even though it didn't say so after the updates.


I agree as I have "turned it off & back on again" several times prior to posting.

Thanks for confirming I'm not the only one experiencing this issue. I hope it gets resolved in the near future.
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benhines
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Re: GPU Work Units - Post Your Tech Support Questions Here
Thank you Ian n Steve - that was just what I needed

In case others end up here for a similar problem, my complete app_config ended up as:

<app_config>
 <app_version>
  <app_name>opng</app_name>
  <plan_class>opencl_nvidia_102</plan_class>
  <avg_ncpus>1</avg_ncpus>
  <ngpus>0.3</ngpus>
 </app_version>
 <app_version>
  <app_name>opng</app_name>
  <plan_class>opencl_intel_gpu_102</plan_class>
  <avg_ncpus>0.05</avg_ncpus>
  <ngpus>1</ngpus>
 </app_version>
</app_config>

app_name and plan_class are subject to change and can be found in client_state. Natch, YMMV
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