{"title":"Energy-Efficient and High-Throughput Nanophotonic Neuromorphic Computing","authors":"M. Nazirzadeh, M. Shamsabardeh, S. Yoo","doi":"10.1364/CLEO_AT.2018.ATH3Q.2","DOIUrl":null,"url":null,"abstract":"High-efficient bio-inspired nanophotonic neuromorphic computing is discussed. Using reconfigurable photonic interconnects combined by optical 2D and 3D integrated circuits, more than 500× improvement in energy consumption is predicted compared to the state-of-the-art implementations of SNNs.","PeriodicalId":6498,"journal":{"name":"2018 Conference on Lasers and Electro-Optics (CLEO)","volume":"27 1","pages":"1-2"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Conference on Lasers and Electro-Optics (CLEO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1364/CLEO_AT.2018.ATH3Q.2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
High-efficient bio-inspired nanophotonic neuromorphic computing is discussed. Using reconfigurable photonic interconnects combined by optical 2D and 3D integrated circuits, more than 500× improvement in energy consumption is predicted compared to the state-of-the-art implementations of SNNs.
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