MLGOPerf: An ML Guided Inliner to Optimize Performance

• Published in: arXiv.org
• Main Authors: Ashouri, Amir H, Elhoushi, Mostafa, Hua, Yuzhe, Wang, Xiang, Manzoor, Muhammad Asif, Chan, Bryan, Gao, Yaoqing
• Format: Paper Journal Article
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 19.07.2022
• Subjects: Benchmarks; Compilers; Computer Science - Artificial Intelligence; Computer Science - Learning; Computer Science - Neural and Evolutionary Computing; Computer Science - Performance; Computer Science - Programming Languages; Machine learning; Optimization; Training

For the past 25 years, we have witnessed an extensive application of Machine Learning to the Compiler space; the selection and the phase-ordering problem. However, limited works have been upstreamed into the state-of-the-art compilers, i.e., LLVM, to seamlessly integrate the former into the optimiza...