{"title":"神经形态计算在压缩感知中的应用","authors":"R. Scrofano, Douglas Enright, G. Valley","doi":"10.1109/HPEC.2019.8916531","DOIUrl":null,"url":null,"abstract":"As the computing community moves toward processing at the edge, there is a need for computing systems that are both high performance and power efficient. Neuromorphic computing systems have the potential to fill this need.","PeriodicalId":184253,"journal":{"name":"2019 IEEE High Performance Extreme Computing Conference (HPEC)","volume":"233 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Applying Neuromorphic Computing to Compressive Sensing\",\"authors\":\"R. Scrofano, Douglas Enright, G. Valley\",\"doi\":\"10.1109/HPEC.2019.8916531\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As the computing community moves toward processing at the edge, there is a need for computing systems that are both high performance and power efficient. Neuromorphic computing systems have the potential to fill this need.\",\"PeriodicalId\":184253,\"journal\":{\"name\":\"2019 IEEE High Performance Extreme Computing Conference (HPEC)\",\"volume\":\"233 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE High Performance Extreme Computing Conference (HPEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HPEC.2019.8916531\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE High Performance Extreme Computing Conference (HPEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HPEC.2019.8916531","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Applying Neuromorphic Computing to Compressive Sensing
As the computing community moves toward processing at the edge, there is a need for computing systems that are both high performance and power efficient. Neuromorphic computing systems have the potential to fill this need.
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