I’ve looked at the v1.3.1 release notes, but I don’t know what effects what, if it tells at all.
However, I can plainly see the improvements on my node and my plotter. Let me explain how I came to this conclusion…
My Threadripper is primarily a MadMax plotter using Powershell. So I obtained two 16TB drives to fill… this time wanting k33 plots, thinking I could even out some drive space on my other drives on my farmer. Meanwhile, I fired up the full GUI node on the Threadripper, upgraded from v1.2.1 > v1.3.1, plus the db to v2… to farm those plots made while in process.
I was astounded at the farmr times I was getting, and still am getting, over the course of a week or so on that machine. Sure there are only 110 k33s so far, but 0.0-0.25s (98.3%) below .25 seconds. I was like Wow!
Longest response: 1.10987 seconds
Shortest response: 0.0 seconds
Median: 0.000s Avg: 0.027s σ: 0.068s
0.0-0.25s: 8425 filters (98.3%)
0.25-0.5s: 118 filters (1.38%)
0.5-1.0s: 27 filters (0.315%)
1.0-5.0s: 1 filters (0.0117%)
With that under my belt, and seeing no significant problems with the 1.3.1 upgrade, I did the same on my full node, wondering if I was just seeing the result of the TR on times or was there really such an improvement in response times.
Here’s a chronology on that node with 4890 plots, mostly k32s >
2-22-22 restart - this is baseline from before upgrade to compare
Last 24 hours: 76240 plots passed 8059 filters
Each plot passed 0.99 times per 512 filters
24h Efficiency: 99%
Longest response: 3.2986 seconds
Shortest response: 0.20304 seconds
Median: 0.431s Avg: 0.501s σ: 0.194s
0.0-0.25s: 66 filters (0.819%) <---------
0.25-0.5s: 4922 filters (61.1%) <---------
0.5-1.0s: 2890 filters (35.9%)
1.0-5.0s: 181 filters (2.25%)
farmr output just AFTER restart to 1.3.1 on 3-23-22 6:30pm
4890 plots - 484.7/485.1 TiB (100%)
CPU: 11th Gen Intel(R) Core™ i5-11400 @ 2.60GHz with 12 threads
4883 k32 plots, 7 k33 plots
Last 24 hours: 84041 plots passed 8792 filters
Each plot passed 1.00 times per 512 filters
24h Efficiency: 100%
Longest response: 1.59976 seconds
Shortest response: 0.06249 seconds
Median: 0.403s Avg: 0.463s σ: 0.184s
0.0-0.25s: 374 filters (4.25%) <---------
0.25-0.5s: 5414 filters (61.6%) <---------
0.5-1.0s: 2874 filters (32.7%)
1.0-5.0s: 130 filters (1.48%)
Later that day…
Last 24 hours: 85891 plots passed 8959 filters
Each plot passed 1.00 times per 512 filters
24h Efficiency: 100%
Longest response: 1.60422 seconds
Shortest response: 0.06245 seconds
Median: 0.362s Avg: 0.410s σ: 0.194s
0.0-0.25s: 1934 filters (21.6%) <---------
0.25-0.5s: 4603 filters (51.4%) <---------
0.5-1.0s: 2319 filters (25.9%)
1.0-5.0s: 103 filters (1.15%)
3-25-22 7am currently as I post this
Last 24 hours: 86612 plots passed 9061 filters
Each plot passed 1.00 times per 512 filters
24h Efficiency: 100%
Longest response: 1.47228 seconds
Shortest response: 0.06248 seconds
Median: 0.299s Avg: 0.364s σ: 0.184s
0.0-0.25s: 3204 filters (35.4%) <---------
0.25-0.5s: 3986 filters (44.0%) <---------
0.5-1.0s: 1808 filters (20.0%)
1.0-5.0s: 63 filters (0.695%)
In summary, going from 0.0-0.25s: 66 filters (0.819%) to 0.0-0.25s: 3204 filters (35.4%) on the same machine, the only difference being the upgrade, something major has been improved, at least in the farmer.