PowerNet: Transferable Dynamic IR Drop Estimation via Maximum Convolutional Neural Network

IR drop is a fundamental constraint required by almost all chip designs. However, its evaluation usually takes a long time that hinders mitigation techniques for fixing its violations. In this work, we develop a fast dynamic IR drop estimation technique, named PowerNet, based on a convolutional neur...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Proceedings of the ASP-DAC ... Asia and South Pacific Design Automation Conference S. 13 - 18
Hauptverfasser:	Xie, Zhiyao, Ren, Haoxing, Khailany, Brucek, Sheng, Ye, Santosh, Santosh, Hu, Jiang, Chen, Yiran
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.01.2020
Schlagworte:	Convolutional neural networks Design automation Machine learning Maximum likelihood estimation Power grids Power system dynamics
ISSN:	2153-697X
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!