A new neural architecture search pipeline that averages multiple one-shot networks and augments the predictor data achieves a 0.9802 ROC-AUC for chip routing hotspot detection.
Pros: A plug-in for routability optimization applied in the state-of-the-art commercial eda tool using deep learning,
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Improving Routability Prediction via NAS Using a Smooth One-shot Augmented Predictor
A new neural architecture search pipeline that averages multiple one-shot networks and augments the predictor data achieves a 0.9802 ROC-AUC for chip routing hotspot detection.