Worst-case dynamic power distribution network noise prediction using convolutional neural network-Reference-Cited by-同舟云学术

Worst-case dynamic power distribution network noise prediction using convolutional neural network

Published:2022-07-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 59th ACM/IEEE Design Automation Conference
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Author:

Dong Xiao¹,Chen Yufei¹,Yin Xunzhao¹,Zhuo Cheng¹

Affiliation:

1. Zhejiang University, Hangzhou, China

Funder

Zhejiang Provincial Key R&D program

NSFC

Guangdong Provincial Key R&D program

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3489517.3530600

Reference18 articles.

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2. Silicon-Validated Power Delivery Modeling and Analysis on a 32-nm DDR I/O Interface

3. Power Supply Noise in SoCs: Metrics, Management, and Measurement

4. Noise-Aware DVFS for Efficient Transitions on Battery-Powered IoT Devices

5. M. Zhao , R. V. Panda , S. S. Sapatnekar , T. Edwards , R. Chaudhry , and D. Blaauw , " Hierarchical analysis of power distribution networks," in ACM/IEEE Design Automation Conference (DAC) , p. 150 -- 155 , 2000 . M. Zhao, R. V. Panda, S. S. Sapatnekar, T. Edwards, R. Chaudhry, and D. Blaauw, "Hierarchical analysis of power distribution networks," in ACM/IEEE Design Automation Conference (DAC), p. 150--155, 2000.

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