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

研究成果: Conference contribution同行評審

5 引文 斯高帕斯(Scopus)

摘要

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.

原文English
主出版物標題SMACD 2018 - 15th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design
發行者Institute of Electrical and Electronics Engineers Inc.
頁面173-176
頁數4
ISBN(列印)9781538651520
DOIs
出版狀態Published - 13 八月 2018
事件15th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design, SMACD 2018 - Prague, Czech Republic
持續時間: 2 七月 20185 七月 2018

出版系列

名字SMACD 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
國家/地區Czech Republic
城市Prague
期間2/07/185/07/18

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