beakthoven/mlgo-linux-kernel
Scripts to train MLGO models for Linux kernels
This project helps optimize the compilation of Linux kernel source code by using machine learning models. It takes Linux kernel source files as input and produces custom optimization models that can improve the kernel's size or performance. Developers and engineers working on Linux kernel development or embedded systems would find this useful for fine-tuning their builds.
No commits in the last 6 months.
Use this if you are a kernel developer looking to create more efficient Linux kernel binaries, either by reducing their size or improving their runtime performance.
Not ideal if you are looking for a general-purpose compiler optimization tool that doesn't specifically target Linux kernel development.
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Apache-2.0
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Last pushed
Dec 07, 2024
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