{"title":"State Power Modeling and Power Optimization Algorithm for Signal Processor","authors":"Jianchuan Li","doi":"10.1109/ICIS.2011.40","DOIUrl":null,"url":null,"abstract":"This paper discusses several of the SOC(System on chip) and NOC (Network on chip) power issues pertaining to DPM(dynamic power management), and how these issues were resolved in a SOC embedded DSP (Digital signal processor). In the analysis of the description of SOC system state power, we proposed a power matrix of SOC, and a dynamic programming (DP) optimization algorithm for multi-state, multi-layer, multi-path model of one DSP embedded in a SOC. We illustrate the system-level power optimization strategy of DPM and simulation executing process. The results show that the system significantly reduced power consumption.","PeriodicalId":256762,"journal":{"name":"2011 10th IEEE/ACIS International Conference on Computer and Information Science","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 10th IEEE/ACIS International Conference on Computer and Information Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIS.2011.40","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
This paper discusses several of the SOC(System on chip) and NOC (Network on chip) power issues pertaining to DPM(dynamic power management), and how these issues were resolved in a SOC embedded DSP (Digital signal processor). In the analysis of the description of SOC system state power, we proposed a power matrix of SOC, and a dynamic programming (DP) optimization algorithm for multi-state, multi-layer, multi-path model of one DSP embedded in a SOC. We illustrate the system-level power optimization strategy of DPM and simulation executing process. The results show that the system significantly reduced power consumption.