Performance evaluation of a vector supercomputer SX-aurora TSUBASA

Kazuhiko Komatsu, Shintaro Momose, Yoko Isobe, Osamu Watanabe, Akihiro Musa, Mitsuo Yokokawa, Toshikazu Aoyama, Masayuki Sato, Hiroaki Kobayashi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

25 Citations (Scopus)

Abstract

A new SX-Aurora TSUBASA vector supercomputer has been released, and it features a new system architecture and a new execution model to achieve high sustained performance, especially for memory-intensive applications. In SX-Aurora TSUBASA, the vector host (VH) of a standard x86 Linux node is attached to the vector engine (VE) of the newly developed vector processor. An application is executed on the VE, and only system calls are offloaded to the VH. This new execution model can avoid redundant data transfers between the VH and VE that can easily become a bottleneck in the conventional execution model. This paper examines the potential of SX-Aurora TSUBASA. First, the basic performance is clarified by evaluating benchmark programs. Then, the effectiveness of the new execution model is examined by using a microbenchmark. Finally, the potential of SX-Aurora TSUBASA is clarified through evaluations of practical applications.

Original languageEnglish
Title of host publicationProceedings - International Conference for High Performance Computing, Networking, Storage, and Analysis, SC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages685-696
Number of pages12
ISBN (Electronic)9781538683842
DOIs
Publication statusPublished - 2019 Mar 11
Event2018 International Conference for High Performance Computing, Networking, Storage, and Analysis, SC 2018 - Dallas, United States
Duration: 2018 Nov 112018 Nov 16

Publication series

NameProceedings - International Conference for High Performance Computing, Networking, Storage, and Analysis, SC 2018

Conference

Conference2018 International Conference for High Performance Computing, Networking, Storage, and Analysis, SC 2018
Country/TerritoryUnited States
CityDallas
Period18/11/1118/11/16

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Hardware and Architecture
  • Theoretical Computer Science

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