Deep-learning cell-delay modeling for static timing analysis-Reference-Cited by-同舟云学术

Deep-learning cell-delay modeling for static timing analysis

Published:2023-02 Issue:1 Volume:14 Page:101828
ISSN:2090-4479
Container-title:Ain Shams Engineering Journal
language:en
Short-container-title:Ain Shams Engineering Journal

Author:

Raslan Waseem,Ismail Yehea

Publisher

Elsevier BV

Subject

General Engineering

Reference16 articles.

1. VLSI physical design: from graph partitioning to timing closure;Kahng,2011

2. Accurate waveform modeling using singular value decomposition with applications to timing analysis;Ramalingam,2007

3. Berz D., Engstler M., Heindl M., Waibel F. Comparison of lossless data compression methods Technical reports in computing science No. CS-07-2015. University of Applied Sciences Kemptem.

4. Goodfellow I., Bengio Y. and Courville A., “Deep Learning”. MIT Press, http://www.deeplearningbook.org, pp. 164-223 and pp. 499-523, 2016.

5. Efficient and accuracy-ensured waveform compression for transient circuit simulation;Li;IEEE Trans Comput Aided Des Integr Circuits Syst,2021

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2. Accurate Interpolation of Library Timing Parameters Through Recurrent Convolutional Neural Network;IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems;2024-01

3. Invited Paper: Unleashing the Potential of Machine Learning: Harnessing the Dynamics of Supply Noise for Timing Sign-Off;2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD);2023-10-28

4. GraPhSyM: Graph Physical Synthesis Model;2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD);2023-10-28

5. MLTDRC: Machine learning driven faster timing design rule check convergence;Memories - Materials, Devices, Circuits and Systems;2023-10