Classifying Analog and Digital Circuits with Machine Learning Techniques Toward Mixed-Signal Design Automation

Guan Hong Liou, Shuo Hui Wang, Yan Yu Su, Po-Hung Lin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

For modern system-on-chip (SoC) design, one of the most challenging and time-consuming tasks is the layout design of the mixed-signal integrated circuit (IC), which integrates both analog and digital circuits into a single chip. There is no industrial tool which can automatically identify analog and digital sub-circuits in a mixed-signal design to accelerate the layout design automation. In this paper, we first introduce a device sorting method to generate an unique sequence for circuit components. Then, we apply an unique matrix representation to encode circuit netlists. Finally, we employ machine learning algorithms to automatically classify/identify analog and digital sub-circuits. The experimental results show that the proposed method is promising based on the convolutional neural network (CNN) algorithm.

Original languageEnglish
Title of host publicationSMACD 2018 - 15th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages173-176
Number of pages4
ISBN (Print)9781538651520
DOIs
StatePublished - 13 Aug 2018
Event15th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design, SMACD 2018 - Prague, Czech Republic
Duration: 2 Jul 20185 Jul 2018

Publication series

NameSMACD 2018 - 15th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design

Conference

Conference15th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design, SMACD 2018
CountryCzech Republic
CityPrague
Period2/07/185/07/18

Fingerprint Dive into the research topics of 'Classifying Analog and Digital Circuits with Machine Learning Techniques Toward Mixed-Signal Design Automation'. Together they form a unique fingerprint.

Cite this