{"title":"A content quality driven energy management system for mobile 3D graphics","authors":"N. Tack, G. Lafruit, F. Catthoor, R. Lauwereins","doi":"10.1109/SIPS.2005.1579879","DOIUrl":null,"url":null,"abstract":"Today, mobile terminals such as personal digital assistants and mobile phones have reached a sufficiently high level of performance as to support simple 3D graphics applications. The challenge is to generate the best possible images within the performance constraints of the used terminal. The algorithms that solve this optimization problem however ignores the energy consumption, which is a scarce resource on a mobile device. We therefore propose to extend current 3D graphics optimization algorithms which adjust image quality to meet timing constraints, with an energy cost. We propose to let the user choose the desired trade-off between visual quality and energy consumption. The task of the optimization algorithm is then to try to provide the user requested quality and to minimize the energy consumption for a given execution time deadline.","PeriodicalId":436123,"journal":{"name":"IEEE Workshop on Signal Processing Systems Design and Implementation, 2005.","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Workshop on Signal Processing Systems Design and Implementation, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIPS.2005.1579879","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Today, mobile terminals such as personal digital assistants and mobile phones have reached a sufficiently high level of performance as to support simple 3D graphics applications. The challenge is to generate the best possible images within the performance constraints of the used terminal. The algorithms that solve this optimization problem however ignores the energy consumption, which is a scarce resource on a mobile device. We therefore propose to extend current 3D graphics optimization algorithms which adjust image quality to meet timing constraints, with an energy cost. We propose to let the user choose the desired trade-off between visual quality and energy consumption. The task of the optimization algorithm is then to try to provide the user requested quality and to minimize the energy consumption for a given execution time deadline.