6 citations · 11 across the 5 of their papers we have counts for
4 papers · 1 filter
CROP: Circuit Retrieval and Optimization with Parameter Guidance using LLMs
Jingyu Pan, Isaac Jacobson, Zheng Zhao +5
Modern very large-scale integration (VLSI) design requires the implementation of integrated circuits using electronic design automation (EDA) tools. Due to the complexity of EDA al…
A Survey of Research in Large Language Models for Electronic Design Automation
Jingyu Pan, Guanglei Zhou, Chen-Chia Chang +3
Within the rapidly evolving domain of Electronic Design Automation (EDA), Large Language Models (LLMs) have emerged as transformative technologies, offering unprecedented capabilit…
PANDA: Architecture-Level Power Evaluation by Unifying Analytical and Machine Learning Solutions
Qijun Zhang, Shiyu Li, Guanglei Zhou +4
Power efficiency is a critical design objective in modern microprocessor design. To evaluate the impact of architectural-level design decisions, an accurate yet efficient architect…
EDALearn: A Comprehensive RTL-to-Signoff EDA Benchmark for Democratized and Reproducible ML for EDA Research
Jingyu Pan, Chen-Chia Chang, Zhiyao Xie +2
The application of Machine Learning (ML) in Electronic Design Automation (EDA) for Very Large-Scale Integration (VLSI) design has garnered significant research attention. Despite t…