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Transformer Network-based Reinforcement Learning Method for Power Distribution Network (PDN) Optimization of High Bandwidth Memory (HBM)
Therefore, without additional training, the trained network can solve new decap optimization problems.
Fast PDN Impedance Prediction Using Deep Learning
Modeling and simulating a power distribution network (PDN) for printed circuit boards (PCBs) with irregular board shapes and multi-layer stackup is computationally inefficient using full-wave simulations.
Long Short-Term Memory Neuron Equalizer
In this work we propose a neuromorphic hardware based signal equalizer by based on the deep learning implementation.
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