Multi-Agent LLMs for Electronic Design
Using collaborative AI agents to automate complex chip design workflows
This research introduces a multi-agent collaboration system that leverages large language models to automate electronic design automation (EDA) workflows, overcoming challenges in complex chip design processes.
- Utilizes divergent thinking strategies among multiple LLM agents to navigate complex EDA tool interfaces
- Implements a coordinator-executor architecture where specialized agents handle different aspects of the design flow
- Demonstrates improved task decomposition and error recovery compared to single-agent approaches
- Provides a practical framework for semiconductor design automation that adapts to diverse EDA platforms
For engineering teams, this research represents a significant advancement in how AI can streamline chip design processes, potentially reducing development time and enabling engineers to focus on innovation rather than routine tasks.