DrPlace: A Deep Learning Based Routability-Driven VLSI Placement Algorithm

In order to improve the routability of deep learning based placement algorithms in the VLSI physical design stage,on the basis of open source placement algorithm DREAMPlace,a deep learning based routability-driven VLSI placement algorithm named DrPlace is proposed.The framework of the algorithm model is composed of deep learning based routability-driven global placement,routability-driven legalization,and routability-driven detailed placement.The algorithm adds the pin density function into the global placement model and proposes an efficient GPU implementation of pin density key kernel.According to the experiment results on ISPD 2011 and DAC 2012 benchmark suites,the algorithm improves the routability of the DREAMPlace and is more effective than traditional routability-driven placement algorithms.