Run 2 taks on 1 GPU and 1 on the other


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Aaron Project Donor
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Message 2031341 - Posted: 8 Feb 2020, 2:25:04 UTC

Right now I have this project ignoring my 1060 and Collatz ignoring my 2080ti. I was thinking of using the 1060 for this project but I don't think it can take multiple tasks simultaneously very well. Is it possible to continue running 2 tasks on the 2080ti while running 1 task on the 1060 for this project?
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Profile Keith Myers Special Project $250 donor
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Message 2031347 - Posted: 8 Feb 2020, 2:51:36 UTC - in response to Message 2031341.  

Only by writing an elaborate app_config file along with some adjustments to the cc_config file.
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juan BFP Crowdfunding Project Donor*Special Project $75 donorSpecial Project $250 donor
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Message 2031357 - Posted: 8 Feb 2020, 4:51:27 UTC

The only way i know to run 2 WU on one GPU and 1 on the other (if both are Nvidia) and optimize the crunching process for each GPU simultaneusly is to run 2 separate instances of Boinc on the host. Each one optimized for each GPU model.
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Profile Tom M
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Message 2031384 - Posted: 8 Feb 2020, 11:00:23 UTC - in response to Message 2031341.  

Right now I have this project ignoring my 1060 and Collatz ignoring my 2080ti. I was thinking of using the 1060 for this project but I don't think it can take multiple tasks simultaneously very well. Is it possible to continue running 2 tasks on the 2080ti while running 1 task on the 1060 for this project?


My experience with Windows and my gtx 1060 3GB's shows it is more than twice as slow trying to run two gpu tasks. If you have a Gtx 1060 6GB it may have enough memory that it doesn't slow down.

You might even get more total production on the 2080ti with 3 tasks. So you could run 3 for Seti and run 1 task for Collatz.

Tom
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Aaron Project Donor
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Message 2031487 - Posted: 8 Feb 2020, 21:01:42 UTC - in response to Message 2031384.  

The 1060 in my system has 6gb of memory. I'll have to try running 3 tasks on the 2080ti. Currently it's configured for .5cpu/.5gpu.
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Message boards : Number crunching : Run 2 taks on 1 GPU and 1 on the other


 
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