Logic Synthesis Optimization Sequence Tuning Using RL-Based LSTM and Graph Isomorphism Network

Author:

Yang Chenghao1ORCID,Xia Yinshui1ORCID,Chu Zhufei1ORCID,Zha Xiaojing1

Affiliation:

1. Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Cited by 10 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. ReLS: Retrieval Is Efficient Knowledge Transfer For Logic Synthesis;Proceedings of the 2024 ACM/IEEE International Symposium on Machine Learning for CAD;2024-09-09

2. A Logic Optimization Method Using Reinforcement Learning;2024 2nd International Symposium of Electronics Design Automation (ISEDA);2024-05-10

3. Automatic Multi-Parameter Tuning for Logic Synthesis with Reinforcement Learning;2024 2nd International Symposium of Electronics Design Automation (ISEDA);2024-05-10

4. An Efficient Reinforcement Learning Based Framework for Exploring Logic Synthesis;ACM Transactions on Design Automation of Electronic Systems;2024-01-15

5. Delay-Driven Physically-Aware Logic Synthesis with Informed Search;2023 IEEE 41st International Conference on Computer Design (ICCD);2023-11-06

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