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How much stress on a GPU

Started by NudgeyNR, November 04, 2020, 10:12:35 PM

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NudgeyNR

How hard does PG work / stress a GPU??

Do people run one wu per GPU or more ??
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Crunching Projects - NumberFields, Asteroids, OLDK, Rakesearch, Universe, Einstein, Milkyway, iThena, WCG & Wuprop.



Dingo

#1
PG runs the CPU and GPU pretty hard.  In the preferences you can state weather you want to run multi-threaded where more than one CPU core is run per task, and they finish quicker and more chance of being the first to return if it is Prime Number.

I also give permission and give my name in the "Reporting primes to the Prime Pages" in the default preferences so I am credited with any primes I find.


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chooka03

I run 2 x wu's at a time on my cards. The Radeon VII's can handle it but it's barely worth running 2 on my Vega 56 & 280X.... I just can't be bothered changing the app config :)
Running 2 wu's on my Radeon VII still doesn't put the GPU under full load and it runs MUCH cooler than say running Milkyway or Einstein.

CPU is a different story. Quite hard on the temps although multi threading isn't used quite as much now with LLR2.

http://www.primegrid.com/forum_thread.php?id=9303


NudgeyNR

Have found plenty of info on how to setup PG CPU side of things, but nothing on how to run multiple wu's on a GPU.

Can i simply tell the project to run multiple wu's on every project with a simple change or do i have to setup for each project i choose to run ?

@chooka how have you gone about setting up the config file to run multiple wu's on your GPU's ?
AMD Ryzen 9 5950X 96GB ram RTX 4070ti Windows 11 Ent 64bit
AMD Ryzen 9 3900X 64GB ram RTX 2080 Windows 10 Ent 64bit
AMD Ryzen 9 3950X 32GB ram RTX 2070S Windows 10 Ent 64bit
Intel XEON E5-2697-V2 32GB ram GT 1030 Windows 10 Ent 64bit
Intel i7 4790 16GB ram GTX 750 Windows 10 Ent 64bit
Intel i7 5930K 32GB ram RTX 2060 Super Windows 10 Ent 64bit
Intel i7 4770K 28GB ram GTX 1060 6GB Windows 10 Ent 64bit
Intel i5 3470 12GB ram Windows 10 Pro 64bit
Intel i5 3470 16GB ram Windows 10 Pro 64bit
Intel i5 4460 16GB ram GT 710 Windows 10 Pro 64bit
Intel i5 4200M 16GB ram Intel HD 4600 Kubuntu 22.10 64bit (NCI only)
Intel Atom C3538 6GB Kubuntu 20.04 (pi-hole) (VM Synology DS1819+ NAS 16Gb ram) 2cores
RPI4 8GB Kubuntu 22.10 64bit
RPI5 8GB Raspberry Pi OS 64bit
Crunching Projects - NumberFields, Asteroids, OLDK, Rakesearch, Universe, Einstein, Milkyway, iThena, WCG & Wuprop.



chooka03

I use this -

<app_config>
<app>
   <name>pps_sr2sieve</name>
   <report_results_immediately/>
   <fraction_done_exact/>
</app>
<app_version>
    <app_name>pps_sr2sieve</app_name>
    <plan_class>openclatiPPSsieve</plan_class>
    <avg_ncpus>0.0001</avg_ncpus>
    <ngpus>0.5</ngpus>
</app_version>

</app_config>

Happy crunching!

NudgeyNR

@chooka So i have to do those settings for every project i crunch on that particular GPU ?
AMD Ryzen 9 5950X 96GB ram RTX 4070ti Windows 11 Ent 64bit
AMD Ryzen 9 3900X 64GB ram RTX 2080 Windows 10 Ent 64bit
AMD Ryzen 9 3950X 32GB ram RTX 2070S Windows 10 Ent 64bit
Intel XEON E5-2697-V2 32GB ram GT 1030 Windows 10 Ent 64bit
Intel i7 4790 16GB ram GTX 750 Windows 10 Ent 64bit
Intel i7 5930K 32GB ram RTX 2060 Super Windows 10 Ent 64bit
Intel i7 4770K 28GB ram GTX 1060 6GB Windows 10 Ent 64bit
Intel i5 3470 12GB ram Windows 10 Pro 64bit
Intel i5 3470 16GB ram Windows 10 Pro 64bit
Intel i5 4460 16GB ram GT 710 Windows 10 Pro 64bit
Intel i5 4200M 16GB ram Intel HD 4600 Kubuntu 22.10 64bit (NCI only)
Intel Atom C3538 6GB Kubuntu 20.04 (pi-hole) (VM Synology DS1819+ NAS 16Gb ram) 2cores
RPI4 8GB Kubuntu 22.10 64bit
RPI5 8GB Raspberry Pi OS 64bit
Crunching Projects - NumberFields, Asteroids, OLDK, Rakesearch, Universe, Einstein, Milkyway, iThena, WCG & Wuprop.