After a while, my Roon memory is beginning to get quite high, see attached picture. Its not doing any library work (analyzing tunes etc), and when I restart Roon, the memory starts to creep up until I restart it again. An estimate of maybe 20 tunes/1 Gb or memory increase.
I noticed this after I did room correction and added convolution, so that might be related. Or is there some caching mechanism going on?
Hi @Magnus ---- Thank you for the feedback and sharing your observations with us. May I kind ask you to please verify the following information for me:
The specs of the machine hosting your Roon core.
What is your library size like, based on number of tracks?
Can you provide a screen shot of your DSP settings.
I run Roon locally on my computer, which is a Intel i7 7700k with 16 Gb of memory, running Windows 10, connected to a DragonFly Red DAC in exclusive mode. I run a convolution filter which I generated for room correction with REW + rephase.
Here is everything turned off except the convolution DSP settings. I restarted Roon with these settings only, and it “steals” around 20 mb of memory for each new tune. It does not matter if the tune is from Tidal or from local file.
After a while, my Roon memory is beginning to get quite high, see attached picture. Its not doing any library work (analyzing tunes etc), and when I restart Roon, the memory starts to creep up until I restart it again. An estimate of maybe 20 tunes/1 Gb or memory increase.
I noticed this after I did room correction and added convolution, so that might be related. Or is there some caching mechanism going on?
All tunes analyzed (finished days before), and whether I have played the tune before or not does not matter. If I disable the convolution filter (which I generated from REW for room correction), it does not steal any memory. Once I turn it on, it goes back to “stealing” around 20Mb whenever I start playing a tune.
Thanks Magnus – since your memory issues are related to your Core (as opposed to a remote) I’ve split this thread back. @Eric is going to follow up and collect some more info.
Just tested the new build, and this issue seems fixed. I can see a slight memory increase for each new tune, but that might just be garbage collection or image caching or something similar. The +20Mb for each new tune is definitely gone when I use a convolution filter.
My thread is closed, but I posted in the 1.3Gb thread earlier today.
I have been running all day now with a stereo convolution filter (made according to my room correction thread), and the memory has stayed at around 700 mb, so works like a charm!