Invited: Acceleration on Physical Design: Machine Learning-based Routability Optimization

Author:

Park Seonghyeon1ORCID,Kim Daeyeon2ORCID,Kang Seokhyeong1ORCID

Affiliation:

1. POSTECH, Pohang, South Korea

2. Samsung Electronics, Hwasung, South Korea

Publisher

ACM

Reference49 articles.

1. TritonRoute

2. Dr. CU 2.0: A Scalable Detailed Routing Framework with Correct-by-Construction Design Rule Satisfaction

3. A. B. Kahng, "Machine Learning Applications in Physical Design: Recent Results and Directions", Proc. ISPD, 2018.

4. International Technology Roadmap for Semiconductors. http://www.itrs2.net/itrs-reports.html

5. BEOL stack-aware routability prediction from placement using data mining techniques

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