The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
우리는 안정적인 컴파일 최적화 시퀀스 생성을 지향하는 강화 학습을 기반으로 ROICF라는 새로운 프레임워크를 제안합니다. LLVM 표준 컴파일 최적화 패스를 기반으로 다양한 프로그램에 대한 특정 유효 단계 순서를 얻어 프로그램 신뢰성을 향상시킬 수 있습니다.
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
컴파일 최적화 시퀀스, 강화 학습, 신뢰성, Llvm
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부
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
부
@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},}
부
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 -