Adaptive Reconvergence-driven AIG Rewriting via Strategy Learning-Reference-Cited by-同舟云学术

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Adaptive Reconvergence-driven AIG Rewriting via Strategy Learning

Published:2023-11-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 41st International Conference on Computer Design (ICCD)
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Author:

Ni Liwei¹,Yang Zonglin²,Zhang Jiaxi³,Liu Junfeng⁴,Li Huawei¹,Xie Biwei¹,Li Xinquan⁵

Affiliation:

1. Chinese Academy of Sciences,Institute of Computing Technology,Beijing,China

2. Shenzhen University,Shenzhen,China

3. Peking University,School of Computer Science,Beijing,China

4. Beihang University,SKLSDE,Beijing,China

5. Peng Cheng Laboratory,Shenzhen,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10360938/10360940/10361005.pdf?arnumber=10361005

Reference27 articles.

1. DAG-aware AIG rewriting a fresh look at combinational logic synthesis

2. AIG rewriting using 5-input cuts

3. Exact DAG-Aware Rewriting

4. Combinational and sequential mapping with priority cuts

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Parallel AIG Refactoring via Conflict Breaking;2024 IEEE International Symposium on Circuits and Systems (ISCAS);2024-05-19

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