Toward reconfigurable kernel datapaths with learned optimizations
Yiming Qiu, Hongyi Liu, Thomas E. Anderson, Yingyan Lin, Ang Chen · 2021
Today's computing systems pay a heavy "OS tax", as kernel execution accounts for a significant amount of resource footprint. This is not least because today's kernels abound with hardcoded heuristics that are designed with unstated assumptions, which rarely generalize well for diversifying applications and device technologies.