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What is Machine Learning for Static IR Drop Estimation about?

This document describes a machine learning contest to predict static IR drop in integrated circuits. The goal is to train models to accurately predict IR drop values while having small model size and fast inference speed. Input data representing circuit designs will be provided in both image and SPICE netlist formats. The image data maps circuit features like current distribution and voltage sources to grids, while the netlist data encodes circuit topology. Models must generalize to new real-world circuit d

Author

2k2OA15.33tanmay yadav

Language

EN