Paper Info
Title
S<sup>3</sup>DET: Detecting System Symmetry Constraints for Analog Circuits with Graph Similarity
Abstract
Symmetry and matching between critical building blocks have a significant impact on analog system performance. However, there is limited research on generating system level symmetry constraints. In this paper, we propose a novel method of detecting system symmetry constraints for analog circuits with graph similarity. Leveraging spectral graph analysis and graph centrality, the proposed algorithm can be applied to circuits and systems of large scale and different architectures. To the best of our knowledge, this is the first work in detecting system level symmetry constraints for analog and mixed-signal (AMS) circuits. Experimental results show that the proposed method can achieve high accuracy of 88.3% with low false alarm rate of less than 1.1% in largescale AMS designs.
Year
DOI
Venue
2020
10.1109/ASP-DAC47756.2020.9045109
2020 25th Asia and South Pacific Design Automation Conference (ASP-DAC)
Keywords
DocType
ISSN
analog circuits,graph similarity,analog system performance,system level symmetry constraints,system symmetry constraints,spectral graph analysis,graph centrality,analog and mixed-signal circuits
Conference
2153-6961
ISBN
Citations 
PageRank 
978-1-7281-4124-4
1
0.37
References 
Authors
8
9
Name
Order
Citations
PageRank
Mingjie Liu117819.18
Wuxi Li2366.03
Keren Zhu3205.20
Biying Xu4357.16
Yibo Lin511920.98
Linxiao Shen62310.68
Xiyuan Tang78723.31
Nan Sun816938.41
David Z. Pan92653237.64