OpenROAD Agent: An Intelligent Self-Correcting Script Generator for OpenROAD
B.-Y. Wu, U. Sharma, A. Rovinski, and V. A. Chhabria
IEEE International Conference on LLM-Aided Design (ICLAD), 2025
Publications
You can also find my papers on my Google Scholar profile.
Conference Papers
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2024 ICCAD CAD Contest Problem C: Scalable Logic Gate Sizing Using ML Techniques and GPU Acceleration
B.-Y. Wu, R. Liang, G. Pradipta, A. Agnesina, H. Ren, and V. A. Chhabria
ACM/IEEE International Conference on Computer-Aided Design (ICCAD), 2024
3.
Generative Methods in EDA: Innovations in Dataset Generation and EDA Tool Assistants
V. A. Chhabria, B.-Y. Wu, U. Sharma, K. Kunal, A. Rovinski, and S. S. Sapatnekar
ACM/IEEE International Conference on Computer-Aided Design (ICCAD), 2024
4.
Strengthening the Foundations for IC Physical Design and ML EDA Research
V. A. Chhabria, V. Gopalakrishnan, A. B. Kahng, S. Kundu, Z. Wang, B.-Y. Wu, and D. Yoon
ACM/IEEE International Conference on Computer-Aided Design (ICCAD), 2024
5.
OpenROAD-Assistant: An Open-Source Large Language Model for Physical Design Tasks
U. Sharma*, B.-Y. Wu*, S. R. D. Kankipati, V. A. Chhabria, and A. Rovinski (co-primary author)
ACM/IEEE International Symposium on Machine Learning for CAD (MLCAD), 2024
6.
ML-INSIGHT: Machine Learning for Inrush Current Prediction and Power Switch Network Improvement
V. Gopalakrishnan, B.-Y. Wu, and V. A. Chhabria
ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), 2024
7.
EDA Corpus: A Large Language Model Dataset for Enhanced Interaction with OpenROAD
B.-Y. Wu, U. Sharma, S. R. D. Kankipati, A. Yadav, B. K. George, S. R. Guntupalli, A. Rovinski, and V. A. Chhabria
IEEE LLM Aided Design Workshop (LAD), 2024
🎊 Best Paper Nomination
8.
OpenROAD and CircuitOps: Infrastructure for ML EDA Research and Education
V. A. Chhabria, W. Jiang, A. B. Kahng, R. Liang, H. Ren, S. S. Sapatnekar, and B.-Y. Wu* (primary author)
IEEE VLSI Test Symposium (VTS), 2024
9.
SpeedER: A Supervised Encoder-Decoder Driven Engine for Effective Resistance Estimation of Power Delivery Networks
B.-Y. Wu, S.-Y. Fang, H.-W. Chang, and P. Wei
ACM/IEEE Workshop on Machine Learning for CAD (MLCAD), 2022
🎊 Best Paper Award