RouteNet: Routability prediction for mixed-size designs using convolutional neural network
Early routability prediction helps designers and tools perform preventive measures so that
design rule violations can be avoided in a proactive manner. However, it is a huge
challenge to have a predictor that is both accurate and fast. In this work, we study how to
leverage convolutional neural network to address this challenge. The proposed method,
called RouteNet, can either evaluate the overall routability of cell placement solutions
without global routing or predict the locations of DRC (Design Rule Checking) hotspots. In …
design rule violations can be avoided in a proactive manner. However, it is a huge
challenge to have a predictor that is both accurate and fast. In this work, we study how to
leverage convolutional neural network to address this challenge. The proposed method,
called RouteNet, can either evaluate the overall routability of cell placement solutions
without global routing or predict the locations of DRC (Design Rule Checking) hotspots. In …
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