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VLSI Congestion Report by amritanshswarnkar000 is a document available to read on EtoBox.

What is VLSI Congestion Report about?

The project report presents a Machine Learning-based approach using Graph Neural Networks (GNNs) for optimizing congestion in VLSI physical design. It demonstrates significant improvements in congestion prediction and mitigation, achieving a 27.10% reduction in RMSE and a 1446% increase in R² score compared to traditional methods. The research emphasizes the potential of GNNs to enhance routability and efficiency in modern VLSI designs, with future work planned to incorporate advanced techniques like Attent

Author

amritanshswarnkar000

Language

EN