{"title":"FLUX Networks: Interconnects on Demand","authors":"S. Vassiliadis, I. Sourdis","doi":"10.1109/ICSAMOS.2006.300823","DOIUrl":null,"url":null,"abstract":"In this paper, we introduce the FLUX interconnection networks, a scheme where the interconnections of a parallel system are established on demand before or during program execution. We present a programming paradigm which can be utilized to make the proposed solution feasible. We perform several experiments to show the viability of our approach. We experiment on three case studies, evaluate different algorithms, developed for meshes or binary trees, and map them on \"grid\"-like physical interconnection networks. Our results clearly show that, based on the underlying network, different mappings are suitable for different algorithms. Even for a single algorithm different mappings are more appropriate, when the processing data size or the number of utilized nodes changes. The implication of the above is that changing interconnection topologies/mappings (dynamically) on demand depending on the program needs can be beneficial","PeriodicalId":204190,"journal":{"name":"2006 International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"23","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSAMOS.2006.300823","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 23
Abstract
In this paper, we introduce the FLUX interconnection networks, a scheme where the interconnections of a parallel system are established on demand before or during program execution. We present a programming paradigm which can be utilized to make the proposed solution feasible. We perform several experiments to show the viability of our approach. We experiment on three case studies, evaluate different algorithms, developed for meshes or binary trees, and map them on "grid"-like physical interconnection networks. Our results clearly show that, based on the underlying network, different mappings are suitable for different algorithms. Even for a single algorithm different mappings are more appropriate, when the processing data size or the number of utilized nodes changes. The implication of the above is that changing interconnection topologies/mappings (dynamically) on demand depending on the program needs can be beneficial