With the down-scaling of CMOS technology, the design complexity of very large-scale integrated is increasing. Although the application of machine learning (ML) techniques in electronic design automation (EDA) can trace its history back to the 1990s, the recent breakthrough of ML and the increasing complexity of EDA tasks have aroused more interest in incorporating ML to solve EDA tasks. In this article, we present a comprehensive review of existing ML for EDA studies, organized following the EDA hierarchy.

Guyue Huang

Jingbo Hu

Yifan He

Jialong Liu

Mingyuan Ma

Zhaoyang Shen

Juejian Wu

Yuanfan Xu

Hengrui Zhang

Kai Zhong

Xuefei Ning

Yuzhe Ma

Haoyu Yang

Bei Yu

Huazhong Yang

Yu Wang

ACM Transactions on Design Automation of Electronic Systems

TODAES 是电子系统设计和自动化领域的一流 ACM 期刊。它出版的创新工作记录了电子系统规范、设计、分析、模拟、测试和评估方面的重大研究和开发进展，强调计算机科学/工程方向。欢迎理论分析和实际解决方案。

ACM Transactions on Design Automation of Electronic Systems is a leading journal in the field of electronic system design and automation. It publishes innovative work that documents significant research and development advancements in the specification, design, analysis, simulation, testing, and evaluation of electronic systems, with an emphasis on the intersection of computer science and engineering. We welcome submissions of theoretical analyses and practical solutions.

《ACM Transactions on Design Automation of Electronic Systems》是电子系统设计与自动化领域的顶尖期刊。该期刊发表的创新研究涵盖了电子系统的规范、设计、分析、模拟、测试和评估等方面的重大进展，强调计算机科学与工程的交叉领域。我们欢迎理论分析和实际解决方案的投稿。

ACM Trans. Des. Autom. Electron. Syst.

Machine Learning for Electronic Design Automation: A Survey

A comprehensive review of existing ML for EDA studies, organized following the EDA hierarchy is presented.

电子设计自动化中的机器学习：综述

Category	Quartile
计算机科学	4
计算机科学, 计算机硬件	4
计算机科学, 计算机软件工程	4

Machine Learning for Electronic Design Automation: A Survey

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Journal Info

Category	Quartile
COMPUTER SCIENCE, SOFTWARE ENGINEERING	2