{"title":"基于傅立叶的异步Sigma-Delta流计算误差分析","authors":"S. G. Wilson, Patricia Gonzalez-Guerrero, M. Stan","doi":"10.1109/IEEECONF44664.2019.9049026","DOIUrl":null,"url":null,"abstract":"We analyze error versus observation time for numerical computing under the stochastic computing paradigm, where operands are encoded with asynchronous sigma-delta modulators. Such encoding offers dramatic savings in energy consumption and/or latency, relative to traditional stochastic computing, at equal RMS error. The paper presents a Fourier analysis of the error with sigma-delta computing for the product of two numerical operands, and presents Matlab error/latency tradeoffs for example operands.","PeriodicalId":6684,"journal":{"name":"2019 53rd Asilomar Conference on Signals, Systems, and Computers","volume":"123 1","pages":"373-377"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Fourier-based Error Analysis for Computing with Asynchronous Sigma-Delta Streams\",\"authors\":\"S. G. Wilson, Patricia Gonzalez-Guerrero, M. Stan\",\"doi\":\"10.1109/IEEECONF44664.2019.9049026\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We analyze error versus observation time for numerical computing under the stochastic computing paradigm, where operands are encoded with asynchronous sigma-delta modulators. Such encoding offers dramatic savings in energy consumption and/or latency, relative to traditional stochastic computing, at equal RMS error. The paper presents a Fourier analysis of the error with sigma-delta computing for the product of two numerical operands, and presents Matlab error/latency tradeoffs for example operands.\",\"PeriodicalId\":6684,\"journal\":{\"name\":\"2019 53rd Asilomar Conference on Signals, Systems, and Computers\",\"volume\":\"123 1\",\"pages\":\"373-377\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 53rd Asilomar Conference on Signals, Systems, and Computers\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEEECONF44664.2019.9049026\",\"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 53rd Asilomar Conference on Signals, Systems, and Computers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEEECONF44664.2019.9049026","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fourier-based Error Analysis for Computing with Asynchronous Sigma-Delta Streams
We analyze error versus observation time for numerical computing under the stochastic computing paradigm, where operands are encoded with asynchronous sigma-delta modulators. Such encoding offers dramatic savings in energy consumption and/or latency, relative to traditional stochastic computing, at equal RMS error. The paper presents a Fourier analysis of the error with sigma-delta computing for the product of two numerical operands, and presents Matlab error/latency tradeoffs for example operands.
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