A Highly Reliable Compilation Optimization Passes Sequence Generation Framework

Jiang WU
Jianjun XU
Xiankai MENG
Yan LEI

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E103-D    No.9    pp.1998-2002
Publication Date: 2020/09/01
Publicized: 2020/06/22
Online ISSN: 1745-1361
DOI: 10.1587/transinf.2020EDL8006
Type of Manuscript: LETTER
Category: Software System
Keyword: 
compilation optimization sequence,  reinforcement learning,  reliability,  LLVM,  

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Summary: 
We propose a new framework named ROICF based on reinforcement learning orienting reliable compilation optimization sequence generation. On the foundation of the LLVM standard compilation optimization passes, we can obtain specific effective phase ordering for different programs to improve program reliability.