Skywalk: A topology for HPC networks with low-delay switches

Ikki Fujiwara, Michihiro Koibuchi, Hiroki Matsutani, Henri Casanova

研究成果: Conference contribution

13 引用 (Scopus)

抜粋

With low-delay switches on the horizon, end-to-end latency in large-scale High Performance Computing (HPC) interconnects will be dominated by cable delays. In this context we define a new network topology, Skywalk, for deploying low-latency interconnects in upcoming HPC systems. Skywalk uses randomness to achieve low latency, but does so in a way that accounts for the physical layout of the topology so as to lead to further cable length and thus latency reductions. Via graph analysis and discrete-event simulation we show that Skywalk compares favorably (in terms of latency, cable length, and throughput) to traditional low-degree torus and moderate-degree hypercube topologies, to high-degree fully-connected Dragonfly topologies, to the HyperX topology, and to recently proposed fully random topologies.

元の言語English
ホスト出版物のタイトルProceedings - IEEE 28th International Parallel and Distributed Processing Symposium, IPDPS 2014
出版者IEEE Computer Society
ページ263-272
ページ数10
ISBN(印刷物)9780769552071
DOI
出版物ステータスPublished - 2014 1 1
イベント28th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2014 - Phoenix, AZ, United States
継続期間: 2014 5 192014 5 23

出版物シリーズ

名前Proceedings of the International Parallel and Distributed Processing Symposium, IPDPS
ISSN(印刷物)1530-2075
ISSN(電子版)2332-1237

Other

Other28th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2014
United States
Phoenix, AZ
期間14/5/1914/5/23

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Hardware and Architecture
  • Software

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  • これを引用

    Fujiwara, I., Koibuchi, M., Matsutani, H., & Casanova, H. (2014). Skywalk: A topology for HPC networks with low-delay switches. : Proceedings - IEEE 28th International Parallel and Distributed Processing Symposium, IPDPS 2014 (pp. 263-272). [6877261] (Proceedings of the International Parallel and Distributed Processing Symposium, IPDPS). IEEE Computer Society. https://doi.org/10.1109/IPDPS.2014.37