{"title":"在片上网络架构中通过自适应数据压缩来降低功耗","authors":"Mehdi Taassori, Mohsen Mossavi","doi":"10.1109/NORCHP.2009.5397810","DOIUrl":null,"url":null,"abstract":"In this paper we present an adaptive compression technique that reduce the power consumption when compare to the compressed and original uncompressed data. We adapt a compression method by distances between transmitter and receiver. We show that compressing data for all of the distances is not useful. Experimental results indicate that our approach save power consumption as much as 24%. We also add encoding approach to compressor, to achieve both bit and transition reduction. Experimental results show that by using coder and decoder and adapting part, power saving can reach up to 30%.","PeriodicalId":308859,"journal":{"name":"2009 NORCHIP","volume":"55 12","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Power reduction through adaptive data compression in Network-on-Chip architectures\",\"authors\":\"Mehdi Taassori, Mohsen Mossavi\",\"doi\":\"10.1109/NORCHP.2009.5397810\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we present an adaptive compression technique that reduce the power consumption when compare to the compressed and original uncompressed data. We adapt a compression method by distances between transmitter and receiver. We show that compressing data for all of the distances is not useful. Experimental results indicate that our approach save power consumption as much as 24%. We also add encoding approach to compressor, to achieve both bit and transition reduction. Experimental results show that by using coder and decoder and adapting part, power saving can reach up to 30%.\",\"PeriodicalId\":308859,\"journal\":{\"name\":\"2009 NORCHIP\",\"volume\":\"55 12\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 NORCHIP\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NORCHP.2009.5397810\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 NORCHIP","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NORCHP.2009.5397810","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Power reduction through adaptive data compression in Network-on-Chip architectures
In this paper we present an adaptive compression technique that reduce the power consumption when compare to the compressed and original uncompressed data. We adapt a compression method by distances between transmitter and receiver. We show that compressing data for all of the distances is not useful. Experimental results indicate that our approach save power consumption as much as 24%. We also add encoding approach to compressor, to achieve both bit and transition reduction. Experimental results show that by using coder and decoder and adapting part, power saving can reach up to 30%.