Machine Learning in Compiler Optimisation

Zheng Wang; Michael O'Boyle

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arXiv · 1805.03441

Machine Learning in Compiler Optimisation

Zheng Wang·Michael O'Boyle

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Abstract

In the last decade, machine learning based compilation has moved from an an obscure research niche to a mainstream activity. In this article, we describe the relationship between machine learning and compiler optimisation and introduce the main concepts of features, models, training and deployment. We then provide a comprehensive survey and provide a road map for the wide variety of different research areas. We conclude with a discussion on open issues in the area and potential research directions. This paper provides both an accessible introduction to the fast moving area of machine learning based compilation and a detailed bibliography of its main achievements.

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BibTeX RIS

Zheng Wang, Michael O'Boyle. 2018-05-09. Machine Learning in Compiler Optimisation. https://arxiv.org/abs/1805.03441

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