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1a Survey On Compiler Autotuning Using Machine Learning 2ef4vvwe91 by akghanekar000 is a document available to read on EtoBox.

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This survey provides an overview of the use of machine learning techniques in compiler autotuning, focusing on two main optimization problems: optimization selection and phase-ordering. It highlights the challenges faced by compilers in keeping up with the increasing complexity of hardware and software, and reviews over 200 recent papers in the field. The document categorizes various approaches, discusses influential works, and outlines the motivations and challenges in compiler optimization research.

Author

akghanekar000

Language

EN