A Survey on the Applications of Large Language Models in Electronic Design Automation

WANG Jing; LIN Liyu; LI Lei; CHEN Linyi; LI Zheng; LAI Yao; LI Yan; YAO Jiafei; ZENG Xiaoyang; GUO Yufeng

doi:10.12263/DZXB.20250971

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A Survey on the Applications of Large Language Models in Electronic Design Automation

Innovative Architectures and Electronic Systems for Efficient Artificial Intelligence | 更新时间：2026-10-16

- A Survey on the Applications of Large Language Models in Electronic Design Automation
- ACTA ELECTRONICA SINICA Vol. 54, Issue 6, Pages: 2377-2393(2026)
- 作者机构：
  
  1.南京邮电大学集成电路科学与工程学院，江苏南京 210023
  2.复旦大学集成电路与微纳电子创新学院，上海 200433
  3.香港大学计算与数据科学学院，香港 999077
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China(U23B2042;62334003);Nanjing Science and Technology Plan Project(202309003);Natural Science Research Start-up Foundation of Recruiting Talents of Nanjing University of Posts and Telecommunications(NY225066)
- DOI：10.12263/DZXB.20250971
  CLC： TN402;TN391
- Received：23 December 2025，
  
  Accepted：06 January 2026，
  
  Published：25 June 2026
- 稿件说明：
移动端阅览
王静, 林立宇, 李磊, 等. 大语言模型在电子设计自动化中的应用综述[J]. 电子学报, 2026, 54(06): 2377-2393.

WANG Jing, LIN Liyu, LI Lei, et al. A Survey on the Applications of Large Language Models in Electronic Design Automation[J]. Acta Electronica Sinica, 2026, 54(06): 2377-2393.
王静, 林立宇, 李磊, 等. 大语言模型在电子设计自动化中的应用综述[J]. 电子学报, 2026, 54(06): 2377-2393. DOI：10.12263/DZXB.20250971

WANG Jing, LIN Liyu, LI Lei, et al. A Survey on the Applications of Large Language Models in Electronic Design Automation[J]. Acta Electronica Sinica, 2026, 54(06): 2377-2393. DOI：10.12263/DZXB.20250971

摘要

随着集成电路设计复杂度呈指数级增长，传统电子设计自动化（Electronic Design Automation，EDA）工具面临着前所未有的挑战。近年来，大语言模型（Large Language Models，LLM）在自然语言处理领域取得的突破性进展为EDA领域带来了新的机遇。本文系统总结了LLM在EDA领域的应用研究，将其归纳为5个主要方向：寄存器传输级（Register Transfer Level，RTL）代码生成与优化、高层次综合与逻辑优化、后端实现验证与安全、模拟电路设计自动化，以及EDA工具流程自动化与辅助。本文同时总结了LLM在EDA领域所面临的挑战，包括高质量领域数据的稀缺性与多模态信息处理能力不足、EDA工具链的集成障碍等技术问题，以及知识产权风险、数据隐私保护和伦理合规性等应用层面的制约因素。未来研究方向主要集中在领域专用语料库的构建、跨模态信息融合的模型架构设计、标准化工具接口协议的制定，以及行业规范与伦理框架的建立等方面。

Abstract

As the complexity of integrated circuit design grows exponentially

traditional electronic design automation (EDA) tools face unprecedented challenges. In recent years

breakthrough advances in large language models (LLMs) in the field of natural language processing have brought new opportunities to the EDA domain. This paper systematically reviews the application of LLMs in EDA

categorizing them into five main directions: register transfer level (RTL) code generation and optimization

high-level synthesis and logic optimization

physical implementation

verification and security

analog circuit design automation

and EDA tool flow automation and assistance. This paper also analyzes the main challenges faced by LLMs in the EDA domain

including technical issues such as scarcity of high-quality domain data and insufficient multimodal processing capabilities

heterogeneous tool chain integration barriers

and verification of generated content correctness and security

as well as application constraints including intellectual property risks

data privacy protection

and ethical compliance. Future research directions mainly focus on domain-specific corpus construction

cross-modal fusion model architecture

standardized tool interface protocols

and industry standards and ethical frameworks.

关键词

Keywords

references

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