Research
Efficient Timing Prediction and Optimization Using Derivable Gradient Boosting Machine Model at Placement Stage
Abstract
This paper presents a novel approach for electronic design automation (EDA) focusing on efficient timing closure during the physical design flow. It introduces a framework utilizing a Derivable Gradient Boosting Machine (D-GBM)