this post was submitted on 01 Oct 2023
40 points (100.0% liked)
Linux
48074 readers
1138 users here now
From Wikipedia, the free encyclopedia
Linux is a family of open source Unix-like operating systems based on the Linux kernel, an operating system kernel first released on September 17, 1991 by Linus Torvalds. Linux is typically packaged in a Linux distribution (or distro for short).
Distributions include the Linux kernel and supporting system software and libraries, many of which are provided by the GNU Project. Many Linux distributions use the word "Linux" in their name, but the Free Software Foundation uses the name GNU/Linux to emphasize the importance of GNU software, causing some controversy.
Rules
- Posts must be relevant to operating systems running the Linux kernel. GNU/Linux or otherwise.
- No misinformation
- No NSFW content
- No hate speech, bigotry, etc
Related Communities
Community icon by Alpár-Etele Méder, licensed under CC BY 3.0
founded 5 years ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
I am assuming you have the monitor connected directly to the 7800xt. Which is why it is the default GPU.
Is the decoding being done when watching the video¿? amdgpu_top shows if the application(vlc in this case) is using the decoding hardware(column named DEC).
Also using the iGPU for video decoding should be more efficient because the massive number of cores in dGPU aren't needed while decoding yet are kept active because the dGPU is active
The problem has been solved, it's caused by mesa's video decoding package, I will answer anyway.
Yes, VCN (Video Core Next) column stays at constant value while playing video (3% for VA-API with mesa, 5% for VDPAU with mesa, 0% for libplacebo), GFX fluctuates between 0% and 1%.
Just playing a 1080P video (not even a high bit rate one) is enough to make GPU fan go spinning, disappointing.
Hmm must be some bug in mesa or the way it interacts with vlc . I use VA-API with mesa for my decoding purposes on a system(laptop) with Vega iGPU and RDNA1 dGPU and I don't see high energy usage. In fact I get much better battery life with vaapi hardware decoding.