{"title":"Evaluation of application-aware heterogeneous embedded systems for performance and energy consumption","authors":"J. Pisharath, Nan Jiang, A. Choudhary","doi":"10.1109/RTTAS.2003.1203044","DOIUrl":null,"url":null,"abstract":"In this work, we first present an application-initiated strategy that aims to control the energy consumption, while simultaneously enhancing the performance of a heterogeneous embedded system. We assess the benefits of using this strategy by means of a traditional evaluation framework. Even though the overall benefits and improvements are apparent, the performance-energy tradeoffs are not prominently noticeable when the traditional framework is used during evaluation. Hence, we propose a framework based on a new metric called energy-resource efficiency (ERE). ERE defines a link between the performance and energy variations in a system. This metric also serves as a guide to determine the amount of resources needed to attain the desired performance and energy behavior. Our experimental results clearly indicate that a heterogeneous system running an application-aware strategy, when correctly calibrated using ERE, leads to great performance and energy gains.","PeriodicalId":325214,"journal":{"name":"The 9th IEEE Real-Time and Embedded Technology and Applications Symposium, 2003. Proceedings.","volume":"147 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 9th IEEE Real-Time and Embedded Technology and Applications Symposium, 2003. Proceedings.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RTTAS.2003.1203044","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
In this work, we first present an application-initiated strategy that aims to control the energy consumption, while simultaneously enhancing the performance of a heterogeneous embedded system. We assess the benefits of using this strategy by means of a traditional evaluation framework. Even though the overall benefits and improvements are apparent, the performance-energy tradeoffs are not prominently noticeable when the traditional framework is used during evaluation. Hence, we propose a framework based on a new metric called energy-resource efficiency (ERE). ERE defines a link between the performance and energy variations in a system. This metric also serves as a guide to determine the amount of resources needed to attain the desired performance and energy behavior. Our experimental results clearly indicate that a heterogeneous system running an application-aware strategy, when correctly calibrated using ERE, leads to great performance and energy gains.