Pretraining on 16nm data and fine-tuning on 5nm data with silicon odometer features reduces Vmin prediction RMSE on 5nm chips to 3.89 mV versus 4.59 to 7.09 mV for baselines.
Deep Lattice Networks and Partial Monotonic Functions,
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Transfer Learning for Minimum Operating Voltage Prediction in Advanced Technology Nodes: Leveraging Legacy Data and Silicon Odometer Sensing
Pretraining on 16nm data and fine-tuning on 5nm data with silicon odometer features reduces Vmin prediction RMSE on 5nm chips to 3.89 mV versus 4.59 to 7.09 mV for baselines.