{"title":"A rate selection algorithm for quantized undithered dynamic supply voltage scaling","authors":"L. H. Chandrasena, M. Liebelt","doi":"10.1145/344166.344591","DOIUrl":null,"url":null,"abstract":"In this paper we propose a novel rate calculation algorithm called quantized rate selection (QRS) for quantized undithered dynamic supply voltage scaling (DSVS) systems. The algorithm monitors the total buffered workload, and where possible selects a rate value equal to a quantized rate value. At quantized rate values, energy dissipation of quantized DSVS systems approaches continuous voltage level DSVS systems. Our experimental work on FMIDCT computation using nine video sequences and a 4-level quantized undithered system shows that additional energy savings of 1.4% to 18.5% can be achieved from QRS, compared to the existing averaging technique.","PeriodicalId":188020,"journal":{"name":"ISLPED'00: Proceedings of the 2000 International Symposium on Low Power Electronics and Design (Cat. No.00TH8514)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ISLPED'00: Proceedings of the 2000 International Symposium on Low Power Electronics and Design (Cat. No.00TH8514)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/344166.344591","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
In this paper we propose a novel rate calculation algorithm called quantized rate selection (QRS) for quantized undithered dynamic supply voltage scaling (DSVS) systems. The algorithm monitors the total buffered workload, and where possible selects a rate value equal to a quantized rate value. At quantized rate values, energy dissipation of quantized DSVS systems approaches continuous voltage level DSVS systems. Our experimental work on FMIDCT computation using nine video sequences and a 4-level quantized undithered system shows that additional energy savings of 1.4% to 18.5% can be achieved from QRS, compared to the existing averaging technique.