{"title":"Energy-efficient sorting using solid state disks","authors":"A. Beckmann, U. Meyer, P. Sanders, J. Singler","doi":"10.1109/GREENCOMP.2010.5598309","DOIUrl":null,"url":null,"abstract":"We take sorting of large data sets as case study for making data-intensive applications more energy-efficient. Using a low-power processor, solid state disks, and efficient algorithms, we beat the current records in the JouleSort benchmark for 10GB to 1 TB of data by factors of up to 5.1. Since we also use parallel processing, this usually comes without a performance penalty.","PeriodicalId":262148,"journal":{"name":"International Conference on Green Computing","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"37","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Green Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GREENCOMP.2010.5598309","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 37
Abstract
We take sorting of large data sets as case study for making data-intensive applications more energy-efficient. Using a low-power processor, solid state disks, and efficient algorithms, we beat the current records in the JouleSort benchmark for 10GB to 1 TB of data by factors of up to 5.1. Since we also use parallel processing, this usually comes without a performance penalty.