4.Chai Z, Zhao Y, Liu W, et al. CircuitNet: An Open-Source Dataset for Machine Learning in VLSI CAD Applications with Improved Domain-Specific Evaluation Metric and Learning Strategies. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2023, 42(12): 5034-5047. ...
1.Huang G, Hu J, He Y, et al. Machine learning for electronic design automation: A survey. ACM Transactions on Design Automation of Electronic Systems (TODAES), 2021, 26(5): 1-46. 2.Chang K, Wang Y, Ren H, et...
Production-Ready Machine Learning for EDA
FPGA原理和结构. [日] 天野英晴 著,赵谦 译.人民邮电出版社,2019年. V. Betz, J. Rose, and A. Marquardt. Architecture and CAD for deep-submicron FPGAs. Kluwer Academic Publishers, February 1999. Elfadel, Ibrahim (Abe) M., Boning, Duane S., Li, Xin (Eds.) . Machine Learning in VLSI...
[4] M. Ren, “Machine Learning for EDA Optimization”, IEEE Seasonal School, [link] youtube.com/watch?v=n5visiN1ncI&t=222s, 2022 [5] Z. Xie, et al. “Intelligent Circuit Design and Implementation with Machine Learning”, PhD Dissertation, 2022. ...
要实现 EDA 2.0 还需要很长的时间，2021 年是中国"十四五"的元年，是 EDA 2.0 的元年。现在外界谈到 EDA 多是各自为政，行业需要更加开放、更加智能的 EDA。谈到 EDA 不仅是 AI 和Machine Learning，只要减少人工干预的方法学都是智能的。例如，Google 的工程师在自动布局上没有用任何新的技术，而是将数据...
清华大学汪玉教授团队联合香港中文大学 Bei Yu 教授组对机器学习技术在电子设计自动化领域应用的全面性回顾,为读者了解该领域提供了一份非常好的学习指南,针对该主题撰写的这篇 44 页的综述文章Machine Learning for Electronic Design Automation: A Survey,被 ACM TODAES 期刊录用。
[2] A. B. Kahng, “Machine Learning for CAD/EDA: The Road Ahead”, IEEE Design & Test (2022) [3] Rapp, Martin, et al. "Mlcad: A survey of research in machine learning for cad keynote paper." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 41.10 (2021...
[2] A. B. Kahng, “Machine Learning for CAD/EDA: The Road Ahead”, IEEE Design & Test (2022) [3] Rapp, Martin, et al. "Mlcad: A survey of research in machine learning for cad keynote paper." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 41.10 (2021...
1. Arthur Samuel (1959). Machine Learning: Field of study that gives computers the ability to learn without being explicitly programed. 2. Tom Mitchell(1998) Well-posed Learning Problem: A computer program is said to learn from experience E with respect to some task T and some performance ...