ACPO: AI-Enabled Compiler-Driven Program Optimization

arXiv:2312.09982v2 Announce Type: replace-cross
Abstract: The key to performance optimization of a program is to decide correctly when a certain transformation should be applied by a compiler. This is an ideal opportunity to apply machine-learning models to speed up the tuning process; while this realization has been around since the late 90s, only recent advancements in ML enabled a practical application of ML to compilers as an end-to-end framework.
This paper presents ACPO: \textbf{\underline{A}}I-Enabled \textbf{\underline{C}}ompiler-driven \textbf{\underline{P}}rogram \textbf{\underline{O}}ptimization; a novel framework …

abstract apply arxiv compiler cs.ai cs.lg cs.pf cs.pl key machine optimization performance process speed the key transformation type