From Global Route to Detailed Route: ML for Fast and Accurate Wire Parasitics and Timing Prediction-Reference-Cited by-同舟云学术

From Global Route to Detailed Route: ML for Fast and Accurate Wire Parasitics and Timing Prediction

Published:2022-09-12 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2022 ACM/IEEE Workshop on Machine Learning for CAD
language:
Short-container-title:

Author:

Chhabria Vidya A.¹,Jiang Wenjing¹,Kahng Andrew B.²,Sapatnekar Sachin S.¹

Affiliation:

1. University of Minnesota, Minneapolis, MN, USA

2. University of California, San Diego, CA, USA

Funder

DARPA IDEA program

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3551901.3556475

Reference18 articles.

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2. 2022. OpenROAD. https://github.com/The-OpenROAD-Project/OpenROAD 2022. OpenROAD. https://github.com/The-OpenROAD-Project/OpenROAD

3. 2022. OpenROAD-flow-scripts. https://github.com/The-OpenROAD-Project/OpenROAD-flow-scripts 2022. OpenROAD-flow-scripts. https://github.com/The-OpenROAD-Project/OpenROAD-flow-scripts

4. 2022. OpenSTA. https://github.com/The-OpenROAD-Project/OpenSTA 2022. OpenSTA. https://github.com/The-OpenROAD-Project/OpenSTA

5. 2022. SkyWater 130nm PDK. https://github.com/google/skywater-pdk 2022. SkyWater 130nm PDK. https://github.com/google/skywater-pdk

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1. DTOC-P: Deep-Learning-Driven Timing Optimization Using Commercial EDA Tool With Practicality Enhancement;IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems;2024-08