'"A Canonical engineer has been experimenting with implementing a Linux scheduler within the Rust programming language..." Phoronix reported Monday, "that works via sched_ext for implementing a scheduler using eBPF that can be loaded during run-time." The project was started "just for fun" over Christmas, according to a post on X by Canonical-based Linux kernel engineer Andrea Righi, adding "I'm pretty shocked to see that it doesn't just work, but it can even outperform the default Linux scheduler (EEVDF) with certain workloads (i.e., gaming)." Phoronix notes the a YouTube video accompanying the tweet shows "a game with the scx_rustland scheduler outperforming the default Linux kernel scheduler while running a parallel kernel build in the background." "For sure the build takes longer," Righi acknowledged in a later post. "This scheduler doesn't magically makes everything run faster, it simply prioritizes more the interactive workloads vs CPU-intensive background jobs." Righi followed up by adding "And the whole point of this demo was to prove that, despite the overhead of running a scheduler in user-space, we can still achieve interesting performance, while having the advantages of being in user-space (ease of experimentation/testing, reboot-less updates, etc.)" Wednesday Righi added some improvements, posting that "Only 19 lines of code (comments included) for ~2x performance improvement on SMT isn't bad... and I spent my lunch break playing Counter Strike 2 to test this patch..." And work seems to be continuing, judging by a fresh post from Righi on Thursday. "I fixed virtme-ng to run inside Docker and used it to create a github CI workflow for sched-ext that clones the latest kernel, builds it and runs multiple VMs to test all the scx schedulers. And it does that in only ~20min. I'm pretty happy about virtme-ng now."' -- source: https://developers.slashdot.org/story/24/01/20/0716232 Cheers, Peter -- Peter Reutemann Dept. of Computer Science University of Waikato, Hamilton, NZ Mobile +64 22 190 2375 https://www.cs.waikato.ac.nz/~fracpete/ http://www.data-mining.co.nz/