If someone is RAM limited, I could see how going to 256 may reduce your RAM requirements. 256, however, needs half of the RAM requirement of 128. 32 buckets needs double the RAM requirement of 64 buckets. 64 buckets needs double the RAM requirement of 128 buckets. But, changes the RAM requirements drastically. I have messed around with this setting by setting it to 32, 64, and 256. How many buckets it needs to work on is set in the plotter configuration settings. Bucket 0 – This is the current bucket its working on.How can you tell if its enough RAM? Lets take a look at one of the plotter’s lines when its generating the plots in phase one: Bucket 0 uniform sort. If you are going to use 4 threads, I’ve found that 3408 works perfect. Something that is a bit undocumented is that RAM requirements change depending on how many threads you assign to the plotter. This also has its hand in determining how many plots you can run in parallel but in a different sense. I put the forty minutes in there so that there is time for plotters to be well into phase 1 before the other plotters start. With my 5900x, I’m running 12 plotters with four threads each, kicking off 2 plotters per forty minutes until reaching 12 plotters. Your plotters can technically over subscribe the CPU and it won’t crash, it will just take longer to generate the plots. Phase two, three and four are all single threaded. The thread config setting only affects the first phase. You probably have noticed this in the plotter logs. Some additional info, plotters work in four phases. My theory for why 6 threads is better than 8 threads could be due to the CCXs that the 5900x has. There are diminishing returns past 4 threads. And in my case 8 threads and beyond was actually slower than 6 threads. 6 threads, however, was only five minutes faster than 4 threads. 4 threads was thirty minutes faster than 2 threads. I then proceeded to up the CPU threads while holding everything else constant. With my CPU (5900x – 24 threads) I did a speed test at 2 threads and 3389 ram on an NVMe and came to 15510:Ģ threads, 3389 RAM, Single NVMe, Single Plotter From experience, 2 threads is way faster than 1 thread. In the plotter settings, you can elect how many threads you want to dedicate to it. We’re talking total threads here, not cores. Parallel meaning, how many plotters your can run at the same time on your system. The amount of threads a CPU has will determine one part of how many plots you can run in parallel. So how do you do this? There are three main factors to TiB per day CPU, RAM, Temp Drives. This stat tells you how fast you can fill up that fat hard drive with plots and begin to farm them. The real stat you want to maximize is TiB/Day. “I can pump out a plot in X seconds!…with no other plots running.” Its almost like the speed running community. Plot Speed is more like a badge of honor that you can display. Chia Plotting has two markers Total Plot Speed and Total TiB per Day. In this post, I’ll talk about each aspect of plotting and my experiences with experimenting with them. You’ll bend nails and break nails with different hammering techniques.
#Stage plot pro add numbers trial#
To do this however, like the image above, is a lot of trial and error. It has so many switches and knobs that its almost irresistible to figure out what each one does. The feeling that you are squeezing every ounce of performance from a system and leaving nothing on the table is a sweet one. For some of the tinkerers and gamers out there, optimization comes with the territory.
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