3 citations · 8 across the 10 of their papers we have counts for
11 papers
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…
AutoEDA: Enabling EDA Flow Automation through Microservice-Based LLM Agents
Yiyi Lu, Hoi Ian Au, Junyao Zhang +8
Electronic Design Automation (EDA) remains heavily reliant on tool command language (Tcl) scripting to drive complex RTL-to-GDSII flows. This scripting-based paradigm is labor-inte…
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…
PatternPaint: Practical Layout Pattern Generation Using Diffusion-Based Inpainting
Guanglei Zhou, Bhargav Korrapati, Gaurav Rajavendra Reddy +5
Generating diverse VLSI layout patterns is essential for various downstream tasks in design for manufacturing, as design rules continually evolve during the development of new tech…
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…
The Dark Side: Security Concerns in Machine Learning for EDA
Zhiyao Xie, Jingyu Pan, Chen-Chia Chang +1
The growing IC complexity has led to a compelling need for design efficiency improvement through new electronic design automation (EDA) methodologies. In recent years, many unprece…
Towards Collaborative Intelligence: Routability Estimation based on Decentralized Private Data
Jingyu Pan, Chen-Chia Chang, Zhiyao Xie +5
Applying machine learning (ML) in design flow is a popular trend in EDA with various applications from design quality predictions to optimizations. Despite its promise, which has b…
Lithography Hotspot Detection via Heterogeneous Federated Learning with Local Adaptation
Xuezhong Lin, Jingyu Pan, Jinming Xu +2
As technology scaling is approaching the physical limit, lithography hotspot detection has become an essential task in design for manufacturability. While the deployment of pattern…
Automatic Routability Predictor Development Using Neural Architecture Search
Chen-Chia Chang, Jingyu Pan, Tunhou Zhang +8
The rise of machine learning technology inspires a boom of its applications in electronic design automation (EDA) and helps improve the degree of automation in chip designs. Howeve…