From the 1 of 8 linked papers with an AI index.
8 papers
EXPLORE: Exploration with Guided Search for Analog Topology Generation using Language Models
Guanglei Zhou, Chen-Chia Chang, Yikang Shen +5
The paper introduces EXPLORE, a framework that combines transformer-based language model decoding with simulator-guided Monte Carlo Tree Search to improve the generation of analog…
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…
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…
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…
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…