Fast IR drop estimation with machine learning-Reference-Cited by-同舟云学术

Fast IR drop estimation with machine learning

Published:2020-11-02 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 39th International Conference on Computer-Aided Design
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Author:

Xie Zhiyao¹,Li Hai¹,Xu Xiaoqing²,Hu Jiang³,Chen Yiran¹

Affiliation:

1. Duke Univeristy

2. ARM Inc.

3. Texas A&M University

Funder

National Science Foundation

Semiconductor Research Corporation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3400302.3415763

Reference44 articles.

1. Ansys. 2020. Ansys RedHawk: power noise and reliability sign-off solution. https://www.ansys.com/products/semiconductors/ansys-redhawk Ansys. 2020. Ansys RedHawk: power noise and reliability sign-off solution. https://www.ansys.com/products/semiconductors/ansys-redhawk

2. Machine Learning-Based Pre-Routing Timing Prediction with Reduced Pessimism

3. Cadence. 2020. Voltus IC Power Integrity Solution User Guide. http://www.cadence.com Cadence. 2020. Voltus IC Power Integrity Solution User Guide. http://www.cadence.com

4. Learning-based prediction of embedded memory timing failures during initial floorplan design

5. Generating Routing-Driven Power Distribution Networks With Machine-Learning Technique

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