{"title":"Are Uniform Nerworks Scalable?","authors":"T. Yokota, K. Ootsu, T. Baba","doi":"10.1109/PDCAT.2008.40","DOIUrl":null,"url":null,"abstract":"Parallel computers essentially employ interconnection networks. Huge-scale systems require appropriate networks that can correspond to their required performance. This paper addresses a scalability issue of uniform interconnection networks. We first propose an evaluation method suitable to large-scale networks, define critical load ratio as a common measure, and introduce introduce ramp-, step-, and impulse responses. Our evaluation results reveal some new knowledge on large-scale networks: (1) performance is scalable from macro-scopic viewpoint, (2) large-scale network is sensitive to congestion and sometimes complex behaviors emerge.","PeriodicalId":282779,"journal":{"name":"2008 Ninth International Conference on Parallel and Distributed Computing, Applications and Technologies","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 Ninth International Conference on Parallel and Distributed Computing, Applications and Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PDCAT.2008.40","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Parallel computers essentially employ interconnection networks. Huge-scale systems require appropriate networks that can correspond to their required performance. This paper addresses a scalability issue of uniform interconnection networks. We first propose an evaluation method suitable to large-scale networks, define critical load ratio as a common measure, and introduce introduce ramp-, step-, and impulse responses. Our evaluation results reveal some new knowledge on large-scale networks: (1) performance is scalable from macro-scopic viewpoint, (2) large-scale network is sensitive to congestion and sometimes complex behaviors emerge.