Design and System Technology Co-Optimization Sensitivity Prediction for VLSI Technology Development using Machine Learning

Author:

Cheng Chung-Kuan,Ho Chia-Tung,Holtz Chester,Lin Bill

Funder

NSF

Publisher

IEEE

Reference23 articles.

1. Sp&r: Smt-based simultaneous place-route for standard cell synthesis of advanced nodes;lee;IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems,2020

2. The interpretation and application of Rent's rule

3. A routability-driven complimentary-FET (CFET) standard cell synthesis framework using SMT

4. Pin Accessibility-Driven Cell Layout Redesign and Placement Optimization

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1. 3D Partitioning with Pipeline Optimization for Low-Latency Memory Access in Many-Core SoCs;2024 IEEE International Symposium on Circuits and Systems (ISCAS);2024-05-19

2. Enhancement of ISPP Efficiency Using Neural Network-Based Optimization of 3-D NAND Cell;IEEE Transactions on Electron Devices;2023-07

3. Machine Learning Prediction for Design and System Technology Co-Optimization Sensitivity Analysis;IEEE Transactions on Very Large Scale Integration (VLSI) Systems;2022-08

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