{"title":"Implementation of LZO real-time lossless compression on FPGA","authors":"Y. Liu, Bing Li","doi":"10.1109/EDSSC.2017.8126504","DOIUrl":null,"url":null,"abstract":"Real-time lossless compression can reduce the burden of big data transmission and storage. Hardware compression is faster and more energy saving when compared with software. This paper proposes a novel LZO hardware architecture and various acceleration methods, integrates the compressor module and other IP modules. Finally, test and demonstration are provided on the DE2 development board. The results show that the compression speed increases by about 5 times and compression ratio increases by about 1.4% when compared to software implementation.","PeriodicalId":163598,"journal":{"name":"2017 International Conference on Electron Devices and Solid-State Circuits (EDSSC)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Electron Devices and Solid-State Circuits (EDSSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EDSSC.2017.8126504","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Real-time lossless compression can reduce the burden of big data transmission and storage. Hardware compression is faster and more energy saving when compared with software. This paper proposes a novel LZO hardware architecture and various acceleration methods, integrates the compressor module and other IP modules. Finally, test and demonstration are provided on the DE2 development board. The results show that the compression speed increases by about 5 times and compression ratio increases by about 1.4% when compared to software implementation.
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