Francisco J. Andújar, Juan A. Villar, J. L. Sánchez, F. J. Alfaro, J. Duato, H. Fröning
{"title":"A Case Study on Implementing Virtual 5D Torus Networks Using Network Components of Lower Dimensionality","authors":"Francisco J. Andújar, Juan A. Villar, J. L. Sánchez, F. J. Alfaro, J. Duato, H. Fröning","doi":"10.1109/HiPINEB.2017.7","DOIUrl":null,"url":null,"abstract":"Several of the most powerful supercomputers in the Top500 and the Graph500 lists continue choosing a torus topology to interconnect a large number of compute nodes. In some cases, a torus network with five or six dimensions is implemented, however, one notices that the costs of implementing an interconnection network increase with the node degree. In previous works we defined and characterized the nD Twin (nDT) torus topology in order to virtually increase the dimensionality of a torus. This new topology reduces the distances between nodes and therefore increases network performance. In this work, we present how to build a 5DT torus network using commercial 6-port network cards. The main issues of this approach are detailed, and we present solutions these problems. Moreover we show, using the same components, that the performance of the 5DT torus network is higher than the performance of the 3D torus network for the same number of compute nodes.","PeriodicalId":426494,"journal":{"name":"2017 IEEE 3rd International Workshop on High-Performance Interconnection Networks in the Exascale and Big-Data Era (HiPINEB)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 3rd International Workshop on High-Performance Interconnection Networks in the Exascale and Big-Data Era (HiPINEB)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HiPINEB.2017.7","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Several of the most powerful supercomputers in the Top500 and the Graph500 lists continue choosing a torus topology to interconnect a large number of compute nodes. In some cases, a torus network with five or six dimensions is implemented, however, one notices that the costs of implementing an interconnection network increase with the node degree. In previous works we defined and characterized the nD Twin (nDT) torus topology in order to virtually increase the dimensionality of a torus. This new topology reduces the distances between nodes and therefore increases network performance. In this work, we present how to build a 5DT torus network using commercial 6-port network cards. The main issues of this approach are detailed, and we present solutions these problems. Moreover we show, using the same components, that the performance of the 5DT torus network is higher than the performance of the 3D torus network for the same number of compute nodes.