I/O performance of the SX-Aurora TSUBASA

Mitsuo Yokokawa, Ayano Nakai, Kazuhiko Komatsu, Yuta Watanabe, Yasuhisa Masaoka, Yoko Isobe, Hiroaki Kobayashi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Citations (Scopus)

Abstract

File outputs or checkpoints for intermediate results frequently appear at appropriate time intervals in large-scale time-advancement numerical simulations where they are utilized for simulation post-processing and/or for restarting consecutive simulations. However, file input/output (I/O) for large-scale data often takes excessive time due to bandwidth limitations between processors and/or secondary storage systems like hard disk drives (HDDs) and solid state drives (SSDs). Accordingly, efforts are ongoing to reduce the time required for file I/O operations in order to speed up such simulations, which means it is necessary to acquire advanced I/O performance knowledge related to high-performance computing systems used.In this study, I/O performance with respect to the connection bandwidth between the vector host (VH) server and the vector engines (VEs) for three configurations of the SX-Aurora TSUB-ASA supercomputer system, specifically the A300-2, A300-4, and A300-8 configurations, were measured and evaluated. The accelerated I/O function, which is a distinctive feature of the SX-Aurora TSUBASA I/O system, was demonstrated to have excellent performance compared to its normal I/O function.

Original languageEnglish
Title of host publicationProceedings - 2020 IEEE 34th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages27-35
Number of pages9
ISBN (Electronic)9781728174457
DOIs
Publication statusPublished - 2020 May
Event34th IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2020 - New Orleans, United States
Duration: 2020 May 182020 May 22

Publication series

NameProceedings - 2020 IEEE 34th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2020

Conference

Conference34th IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2020
Country/TerritoryUnited States
CityNew Orleans
Period20/5/1820/5/22

Keywords

  • Accelerated I/O function
  • DMA engine
  • I/O performance
  • SX-Aurora TSUBASA
  • Vector supercomputer

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