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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,
Full Text: PDF>>
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.
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