{"title":"Analyzing Data Intensive Networks on Chips","authors":"Junwei Zhang, T. G. Robertazzi","doi":"10.1109/UCC56403.2022.00034","DOIUrl":null,"url":null,"abstract":"A novel framework [2] [3] is proposed to find efficient data-intensive flow distributions on Networks on Chip (NoC). In [3], the authors discussed the virtual cut-through switching, and we extend the flow matrix and analysis in a new switching mechanism, a modified store-and-forward switching mechanism. We explore the various workload distribution applications compared to the previous data load evenly distribution scenario. The new algorithms lead to an efficient makespan and a significant saving in the number of cores used.","PeriodicalId":203244,"journal":{"name":"2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/UCC56403.2022.00034","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
A novel framework [2] [3] is proposed to find efficient data-intensive flow distributions on Networks on Chip (NoC). In [3], the authors discussed the virtual cut-through switching, and we extend the flow matrix and analysis in a new switching mechanism, a modified store-and-forward switching mechanism. We explore the various workload distribution applications compared to the previous data load evenly distribution scenario. The new algorithms lead to an efficient makespan and a significant saving in the number of cores used.