IEICE TRANSACTIONS on Information
A Highly Reliable Compilation Optimization Passes Sequence Generation Framework
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.
- Publication
- IEICE TRANSACTIONS on Information 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
Authors
Jiang WU
National University of Defense Technology
Jianjun XU
National University of Defense Technology
Xiankai MENG
National University of Defense Technology
Yan LEI
National University of Defense Technology
Keyword
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Jiang WU, Jianjun XU, Xiankai MENG, Yan LEI, "A Highly Reliable Compilation Optimization Passes Sequence Generation Framework" in IEICE TRANSACTIONS on Information,
vol. E103-D, no. 9, pp. 1998-2002, September 2020, doi: 10.1587/transinf.2020EDL8006.
Abstract: 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.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2020EDL8006/_p
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@ARTICLE{e103-d_9_1998,
author={Jiang WU, Jianjun XU, Xiankai MENG, Yan LEI, },
journal={IEICE TRANSACTIONS on Information},
title={A Highly Reliable Compilation Optimization Passes Sequence Generation Framework},
year={2020},
volume={E103-D},
number={9},
pages={1998-2002},
abstract={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.},
keywords={},
doi={10.1587/transinf.2020EDL8006},
ISSN={1745-1361},
month={September},}
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TY - JOUR
TI - A Highly Reliable Compilation Optimization Passes Sequence Generation Framework
T2 - IEICE TRANSACTIONS on Information
SP - 1998
EP - 2002
AU - Jiang WU
AU - Jianjun XU
AU - Xiankai MENG
AU - Yan LEI
PY - 2020
DO - 10.1587/transinf.2020EDL8006
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E103-D
IS - 9
JA - IEICE TRANSACTIONS on Information
Y1 - September 2020
AB - 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.
ER -
English
