Fast Prediction of Dynamic IR-Drop Using Recurrent U-Net Architecture-Reference-Cited by-同舟云学术

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Fast Prediction of Dynamic IR-Drop Using Recurrent U-Net Architecture

Published:2022-09-12 Issue: Volume: Page:
ISSN:
Container-title:2022 ACM/IEEE 4th Workshop on Machine Learning for CAD (MLCAD)
language:
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Author:

Kwon Yonghwi¹,Shin Youngsoo¹

Affiliation:

1. Korea Advanced Institute of Science and Technology,Daejeon,Korea

Funder

National Research Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9900062/9900076/09900098.pdf?arnumber=9900098

Reference13 articles.

1. Opencores benchmarks,0

2. RedHawk User Guide;ANSYS,2020

3. PyTorch: An imperative style, high-performance deep learning library;paszke;Proc Advances In Neural Inform Processing Syst,2019

4. Adam: A method for stochastic optimization;kingma,2014

5. U-Net: Convolutional networks for biomedical image segmentation;ronneberger;Int Conf Med Im Comp Comp -Ass Interv,2015

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