Implementation of Machine Learning in VLSI Integrated Circuit Design

Author:

Shreyanth S.ORCID,Harshitha D. S.ORCID,Niveditha S.ORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Computer Networks and Communications,Computer Graphics and Computer-Aided Design,Computational Theory and Mathematics,Artificial Intelligence,General Computer Science

Reference20 articles.

1. Wang L, Luo M. Machine learning applications and opportunities in ic design flow. In: 2019 international symposium on VLSI design, automation and test (VLSI-DAT). 2019. p. 1–3. https://ieeexplore.ieee.org/abstract/document/8742073. Accessed 29 June 2022.

2. Yi H, Shiyu S, Xiusheng D, Zhigang C. A study on deep neural networks framework. In: 2016 IEEE advanced information management, communicates, electronic and automation control conference (IMCEC). 2016. p. 1519–22. https://ieeexplore.ieee.org/abstract/document/7867471. Accessed 30 June 2022.

3. Helbert JN. Handbook of VLSI microlithography. Cambridge University Press. 2001. https://books.google.co.in/books?hl=en&lr=&id=kPIpg6plqnYC&oi=fnd&pg=PP2&dq=%09J.+N.+Helbert,+Handbook+of+VLSI+microlithography.+Cambridge+University+Press,+2001.&ots=RwlNZMqrXf&sig=YvpQ2TVv1StOQQSN3JZ3YSyeOIw&redir_esc=y#v=onepage&q=J.%20N.%20Helbert%2C%20Handbook%20of%20VLSI%20microlithography.%20Cambridge%20University%20Press%2C%202001.&f=false. Accessed 02 July 2022.

4. Lin Y, Pan DZ. Machine learning in physical verification, mask synthesis, and physical design. In: Machine learning in VLSI computer-aided design. Cham: Springer. 2019. p. 95–115. https://doi.org/10.1007/978-3-030-04666-8_4. Accessed 04 July 2022.

5. Zhuo C, Yu B, Gao D. Accelerating chip design with machine learning: From pre-silicon to post-silicon. In: 2017 30th IEEE international system-on-chip conference (SOCC). 2017. p. 227–32. https://ieeexplore.ieee.org/abstract/document/8226046. Accessed 08 July 2022.

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