Gonzalez-GuerreroPatricia, Tracy IITommy, GuoXinfei, SreekumarRahul, LenjaniMarzieh, SkadronKevin, R. StanMircea
{"title":"使用异步Σ Δ流实现超低功耗传感器的节点上机器学习","authors":"Gonzalez-GuerreroPatricia, Tracy IITommy, GuoXinfei, SreekumarRahul, LenjaniMarzieh, SkadronKevin, R. StanMircea","doi":"10.1145/3404975","DOIUrl":null,"url":null,"abstract":"We propose a novel architecture to enable low-power, complex on-node data processing, for the next generation of sensors for the internet of things (IoT), smartdust, or edge intelligence. Our archi...","PeriodicalId":50924,"journal":{"name":"ACM Journal on Emerging Technologies in Computing Systems","volume":"16 1","pages":"1-20"},"PeriodicalIF":2.1000,"publicationDate":"2020-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1145/3404975","citationCount":"6","resultStr":"{\"title\":\"Towards on-node Machine Learning for Ultra-low-power Sensors Using Asynchronous Σ Δ Streams\",\"authors\":\"Gonzalez-GuerreroPatricia, Tracy IITommy, GuoXinfei, SreekumarRahul, LenjaniMarzieh, SkadronKevin, R. StanMircea\",\"doi\":\"10.1145/3404975\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a novel architecture to enable low-power, complex on-node data processing, for the next generation of sensors for the internet of things (IoT), smartdust, or edge intelligence. Our archi...\",\"PeriodicalId\":50924,\"journal\":{\"name\":\"ACM Journal on Emerging Technologies in Computing Systems\",\"volume\":\"16 1\",\"pages\":\"1-20\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2020-08-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1145/3404975\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM Journal on Emerging Technologies in Computing Systems\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1145/3404975\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Journal on Emerging Technologies in Computing Systems","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1145/3404975","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
Towards on-node Machine Learning for Ultra-low-power Sensors Using Asynchronous Σ Δ Streams
We propose a novel architecture to enable low-power, complex on-node data processing, for the next generation of sensors for the internet of things (IoT), smartdust, or edge intelligence. Our archi...
期刊介绍:
The Journal of Emerging Technologies in Computing Systems invites submissions of original technical papers describing research and development in emerging technologies in computing systems. Major economic and technical challenges are expected to impede the continued scaling of semiconductor devices. This has resulted in the search for alternate mechanical, biological/biochemical, nanoscale electronic, asynchronous and quantum computing and sensor technologies. As the underlying nanotechnologies continue to evolve in the labs of chemists, physicists, and biologists, it has become imperative for computer scientists and engineers to translate the potential of the basic building blocks (analogous to the transistor) emerging from these labs into information systems. Their design will face multiple challenges ranging from the inherent (un)reliability due to the self-assembly nature of the fabrication processes for nanotechnologies, from the complexity due to the sheer volume of nanodevices that will have to be integrated for complex functionality, and from the need to integrate these new nanotechnologies with silicon devices in the same system.
The journal provides comprehensive coverage of innovative work in the specification, design analysis, simulation, verification, testing, and evaluation of computing systems constructed out of emerging technologies and advanced semiconductors