综述大模型在电子设计自动化中的应用与挑战
A Survey of Research in Large Language Models for Electronic Design Automation
- 系统梳理大模型在EDA中的架构与定制技术
- 揭示模型规模对复杂数据处理能力的影响
- 适合关注AI与芯片设计融合的研究者阅读
在快速发展的电子设计自动化（EDA）领域，大语言模型（LLMs）已成为变革性技术，显著提升了电子设计各个环节的优化与自动化水平。本文全面综述了LLM在EDA中的应用，重点探讨模型架构演进、不同模型规模的影响以及创新的定制化方法，以实现针对性分析洞察。通过分析LLM能力与EDA需求的交叉点，文章强调其在从复杂数据中提取深层理解方面的显著作用。同时，也讨论了将LLM集成到EDA工作流中的挑战与机遇，为该领域的未来研究与应用铺平道路。本综述旨在为EDA行业从业者、人工智能研究人员及关注先进AI与电子设计融合者提供重要参考。
原文摘要 · Abstract (English)
Within the rapidly evolving domain of Electronic Design Automation (EDA), Large Language Models (LLMs) have emerged as transformative technologies, offering unprecedented capabilities for optimizing and automating various aspects of electronic design. This survey provides a comprehensive exploration of LLM applications in EDA, focusing on advancements in model architectures, the implications of varying model sizes, and innovative customization techniques that enable tailored analytical insights. By examining the intersection of LLM capabilities and EDA requirements, the paper highlights the significant impact these models have on extracting nuanced understandings from complex datasets. Furthermore, it addresses the challenges and opportunities in integrating LLMs into EDA workflows, paving the way for future research and application in this dynamic field. Through this detailed analysis, the survey aims to offer valuable insights to professionals in the EDA industry, AI researchers, and anyone interested in the convergence of advanced AI technologies and electronic design.
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