{"title":"节能和高通量纳米光子神经形态计算","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":"{\"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}","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}
Energy-Efficient and High-Throughput Nanophotonic Neuromorphic Computing
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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