Exceeding the performance of two-tier fat-tree: equality network topology

Chane Yuan Yang, Chi Hsiu Liang, Hong Lin Wu, Chun Ho Cheng, Chao Chin Li, Chun Ming Chen, Po Lin Huang, Chi Chuan Hwang

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

A high-performance interconnect topology system named Equality is introduced in this paper for general purpose applications including supercomputing, data center, cloud service, and industrial cluster solutions. Equality is designed based on chordal ring networks. It advances previous discussed chordal ring topologies by a set of systematic linking strategies and routing rules. The Equality topology can be used construct low diameter networks with reasonably low router radices. Equality interconnects are highly symmetric and hence cabling rule and routing logic are simple. Compared with other networks, the Equality topology is flexible in total number of routers, where any even number is allowed. This paper introduces the evaluation of Equality performance using open-source BookSim 2.0 package. The benchmarks of ten traffic models for systems constructed using 36- and 48-port switch are presented to assess the network performance, compared with the very popular 2-tier fat-tree structure. The results show that the Equality networks are resilient in the scenario similar to practical computation.

Original languageEnglish
Title of host publicationLecture Notes in Networks and Systems
PublisherSpringer
Pages1187-1199
Number of pages13
DOIs
Publication statusPublished - 2020 Jan 1

Publication series

NameLecture Notes in Networks and Systems
Volume70
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Signal Processing
  • Computer Networks and Communications

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  • Cite this

    Yang, C. Y., Liang, C. H., Wu, H. L., Cheng, C. H., Li, C. C., Chen, C. M., Huang, P. L., & Hwang, C. C. (2020). Exceeding the performance of two-tier fat-tree: equality network topology. In Lecture Notes in Networks and Systems (pp. 1187-1199). (Lecture Notes in Networks and Systems; Vol. 70). Springer. https://doi.org/10.1007/978-3-030-12385-7_83