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Author Trobec, Roman ♦ Vasiljevi, Radivoje ♦ Tomaevi, Milo ♦ Milutinovi, Veljko ♦ Beivide, Ramon ♦ Valero, Mateo
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Copyright Year ©2016
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Interconnection networks ♦ Top500 list ♦ Exascale computers ♦ High performance parallel computers
Abstract This article provides background information about interconnection networks, an analysis of previous developments, and an overview of the state of the art. The main contribution of this article is to highlight the importance of the interpolation and extrapolation of technological changes and physical constraints in order to predict the optimum future interconnection network. The technological changes are related to three of the most important attributes of interconnection networks: topology, routing, and flow-control algorithms. On the other hand, the physical constraints, that is, port counts, number of communication nodes, and communication speed, determine the realistic properties of the network. We present the state-of-the-art technology for the most commonly used interconnection networks and some background related to often-used network topologies. The interconnection networks of the best-performing petascale parallel computers from past and present Top500 lists are analyzed. The lessons learned from this analysis indicate that computer networks need better performance in future exascale computers. Such an approach leads to the conclusion that a high-radix topology with optical connections for longer links is set to become the optimum interconnect for a number of relevant application domains.
Description Author Affiliation: University of Belgrade, Serbia (Vasiljevi, Radivoje; Tomaevi, Milo); Barcelona Supercomputing Center, Spain (Valero, Mateo); Maxeler Technologies and MISANU Belgrade, Serbia (Milutinovi, Veljko); University of Cantabria, Spain (Beivide, Ramon); Jožef Stefan Institute, Ljubljana, Slovenia (Trobec, Roman)
ISSN 03600300
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2016-09-01
Publisher Place New York
e-ISSN 15577341
Journal ACM Computing Surveys (CSUR)
Volume Number 49
Issue Number 3
Page Count 24
Starting Page 1
Ending Page 24

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Source: ACM Digital Library