LLM for EDA in Front-End Design: Challenges and Opportunities
As chip complexity increases and time-to-market pressures grow, front-end design has become a critical bottleneck in chip development. Recently, Large Language Models (LLMs) have shown great potential in Electronic Design Automation (EDA). Beyond specification understanding, LLMs show the potential to serve as a unified intelligent interface for hardware description language (HDL) generation, testbench construction, and design space exploration. The rise of agentic AI, represented by pioneering systems such as OpenClaw, offers a strategic roadmap for the next generation EDA. From this perspective, this paper discusses the evolution of EDA from localized assistance to autonomous agentic ex...
| Authors | Kangwei Xu, Bing Li, Ulf Schlichtmann |
|---|---|
| Primary category | cs.ET |
| Published | 10 July 2026 |
| Last updated at source | 10 July 2026 |
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