Yan Fang, V. Yashin, Andrew J. Seel, Brandon B. Jennings, Reggie Barnett, D. Chiarulli, S. Levitan
{"title":"Modeling oscillator arrays for video analytic applications","authors":"Yan Fang, V. Yashin, Andrew J. Seel, Brandon B. Jennings, Reggie Barnett, D. Chiarulli, S. Levitan","doi":"10.1109/ICCAD.2014.7001336","DOIUrl":null,"url":null,"abstract":"Weakly coupled oscillators have shown promise as a computational building block that exploits the power of emerging low power high density nano-devices such as spin torque oscillators and vanadium oxide oscillators. In this paper, we develop a new analytic phase model as well as a circuit simulation to show how clusters and arrays of coupled oscillators can be inserted into three different stages of an image processing pipeline and provide comparable image recognition performance to traditional methods.","PeriodicalId":426584,"journal":{"name":"2014 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCAD.2014.7001336","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Weakly coupled oscillators have shown promise as a computational building block that exploits the power of emerging low power high density nano-devices such as spin torque oscillators and vanadium oxide oscillators. In this paper, we develop a new analytic phase model as well as a circuit simulation to show how clusters and arrays of coupled oscillators can be inserted into three different stages of an image processing pipeline and provide comparable image recognition performance to traditional methods.