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Linux (Ubuntu/HiveOS) low PPD - 3080
Posted: Mon Dec 26, 2022 5:54 pm
by mew905
Hello, I decided to try out Linux with my RTX 3080 as folding.lar reports it was averaging ~7M+ PPD on there. However upon switching I've been hovering around 4.5-5m. Windows sits at 5-5.5m. Is there something I'm missing? I thought Linux was the better OS for raw folding, or is ~5M expected on both?
Re: Linux (Ubuntu/HiveOS) low PPD - 3080
Posted: Mon Dec 26, 2022 6:05 pm
by toTOW
It's probably just the mix of projects that is not the same ...
Re: Linux (Ubuntu/HiveOS) low PPD - 3080
Posted: Mon Dec 26, 2022 6:58 pm
by BobWilliams757
The mix of projects can quickly skew the numbers, especially with GPUs with a lot of shader cores. If you check on the LAR site, you can look at PPD per project, and then scroll down to your GPU. That will give you the numbers for that specific project vs all around averages.
Re: Linux (Ubuntu/HiveOS) low PPD - 3080
Posted: Mon Dec 26, 2022 7:57 pm
by mew905
yes but the averaging should remove the variance between WUs -- thats why we typically use averages after all. This would also suggest that there should be roughly an equivalent amount of WUs that are 30-50% higher than the average.
I just find it strange that folding.lar uses automated reporting via reading the html reporting page, it's not user reported (as far as I'm aware) which would mean that 7M ppd should be pretty realistic.
That said I just saw that there are two "base" 3080s listed: just a 3080, and a 3080 10/20gb. Mine is 10GB, however the "3080" should also be 10GB as 12GB is listed separately. FAHControl doesn't say "10/20 GB" so I'm guessing mine is that base 3080.
Re: Linux (Ubuntu/HiveOS) low PPD - 3080
Posted: Tue Dec 27, 2022 6:29 pm
by toTOW
I don't fully trust folding.lar since you never know the environment of the measurements ...
Re: Linux (Ubuntu/HiveOS) low PPD - 3080
Posted: Wed Dec 28, 2022 12:30 am
by BobWilliams757
mew905 wrote: ↑Mon Dec 26, 2022 7:57 pm
yes but the averaging should remove the variance between WUs -- thats why we typically use averages after all. This would also suggest that there should be roughly an equivalent amount of WUs that are 30-50% higher than the average.
I just find it strange that folding.lar uses automated reporting via reading the html reporting page, it's not user reported (as far as I'm aware) which would mean that 7M ppd should be pretty realistic.
That said I just saw that there are two "base" 3080s listed: just a 3080, and a 3080 10/20gb. Mine is 10GB, however the "3080" should also be 10GB as 12GB is listed separately. FAHControl doesn't say "10/20 GB" so I'm guessing mine is that base 3080.
Your statement concerning averages is correct, but only if your baseline you are comparing is coming from the same average that took place on the LAR website. The averages they show are stated as being based on the latest 500 PPD samples. They also have charts that go back in history and show the ups and downs of various available projects and the rolling PPD averages.
I
think LAR designates one plain language name for each specific device ID used for F@H. I see at least 3 different listings for the RTX3080, and that is excluding the ti, Lite Hash Rate, and mobile versions. Since not all GPU's are the same, they get broken down by device ID and to some extent basic characteristics that create that device ID. But even beyond that, not all manufacturers will run GPU's at the same clocks, they vary quite a bit. Based on
https://www.techpowerup.com/gpu-specs/ ... 80.c3621 boost clocks can vary from the stock 1710 up to 1905 MHz. Add to this cooling variables (which might impact boost clocks you can reach) and any/all user overclocks, memory tweaks, OS types, lack of system use or frequent (other than folding) system use, etc.... and it all adds up to a fairly wide path of variables.
I think LAR is great for giving people a ballpark idea of what they might expect, but you have to take it with a grain of salt. If you have a lesser GPU, cooling solution, bulky OS, and frequent use of the computer you aren't going to get the returns of those running optimized and sometimes overclocked systems doing nothing but folding using a higher strung GPU of the same basic configuration. And since we can never really know where the last 500 samples have come from, we have to take that into consideration.
The only real way to compare one OS to another on your system is to compare like project averages under similar if not the same conditions.