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

Zhiyao Xie
Zhiyao Xie
Ye Sheng
Ye Sheng
Santosh Santosh
Santosh Santosh

ASP-DAC, pp. 13-18, 2020.

Cited by: 0|Views23
EI

Abstract:

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 neural network (CNN). It can handle both vec...More

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