{"title":"Adaptive bit-width compression for low-energy frame memory design","authors":"V. Moshnyaga","doi":"10.1109/SIPS.2001.957346","DOIUrl":null,"url":null,"abstract":"A new architectural technique to reduce energy dissipation of frame memory is proposed. Unlike existing approaches, the technique exploits the pixel correlation in video sequences, dynamically adjusting the memory bit-width to the number of bits changed per pixel. Instead of treating the data bits independently, we group the most significant bits together, activating the corresponding group of bit-lines adaptively to data variation. The method is not restricted to the specific bit-patterns nor depends on the storage phase. It works equally well on read and write accesses, as well as during precharging. Simulation results show that using this method we can reduce the total energy consumption of frame memory by 20% without affecting the picture quality.","PeriodicalId":246898,"journal":{"name":"2001 IEEE Workshop on Signal Processing Systems. SiPS 2001. Design and Implementation (Cat. No.01TH8578)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2001 IEEE Workshop on Signal Processing Systems. SiPS 2001. Design and Implementation (Cat. No.01TH8578)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIPS.2001.957346","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
A new architectural technique to reduce energy dissipation of frame memory is proposed. Unlike existing approaches, the technique exploits the pixel correlation in video sequences, dynamically adjusting the memory bit-width to the number of bits changed per pixel. Instead of treating the data bits independently, we group the most significant bits together, activating the corresponding group of bit-lines adaptively to data variation. The method is not restricted to the specific bit-patterns nor depends on the storage phase. It works equally well on read and write accesses, as well as during precharging. Simulation results show that using this method we can reduce the total energy consumption of frame memory by 20% without affecting the picture quality.