Sent out today as a request for comments (RFC) by a Linux kernel engineer employed by IBM is a machine learning library for the Linux kernel. The intent is on plugging in running ML models to the Linux kernel that could be used for system performance optimizations and various other purposes.
Viacheslav Dubeyko who is employed by IBM as a Linux kernel developer sent out an RFC patch series today that aims to introduce a machine learning library for the Linux kernel.
The headline and/or article is confusing. It says “machine learning library for the Linux kernel” but goes on to say it’s going to do ML in userspace.
It sounds like it’s going to be a process that lives outside the kernel and tunes the kernel via some interface. In which case there would be no need for any ML-specific bit in the kernel. Rather a generic interface to collect stats, tune thing. Processes would use those however they want, using ML or astrology or classic algorithms for their internal logic.