6 citations · 16 across the 9 of their papers we have counts for
7 papers · 1 filter
EXPLORE: Exploration with Guided Search for Analog Topology Generation using Language Models
Guanglei Zhou, Chen-Chia Chang, Yikang Shen +5
Automating analog circuit topology design is essential to reduce the extensive manual effort required to meet increasingly diverse and customized application demands. Recent advanc…
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…
LaMAGIC2: Advanced Circuit Formulations for Language Model-Based Analog Topology Generation
Chen-Chia Chang, Wan-Hsuan Lin, Yikang Shen +2
Automation of analog topology design is crucial due to customized requirements of modern applications with heavily manual engineering efforts. The state-of-the-art work applies a s…
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…
Improving Routability Prediction via NAS Using a Smooth One-shot Augmented Predictor
Arjun Sridhar, Chen-Chia Chang, Junyao Zhang +1
Routability optimization in modern EDA tools has benefited greatly from using machine learning (ML) models. Constructing and optimizing the performance of ML models continues to be…
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…