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Supercomputer for Quest to Unsolved Interdisciplinary Datascience (SQUID) and its Five Challenges

In: Sustained Simulation Performance 2021

Author

Listed:
  • Susumu Date

    (Osaka University, Cybermedia Center)

  • Yoshiyuki Kido

    (Osaka University, Cybermedia Center)

  • Yuki Katsuura

    (Osaka University, Department of Information and Communication Technology Services)

  • Yuki Teramae

    (Osaka University, Department of Information and Communication Technology Services)

  • Shinichiro Kigoshi

    (Osaka University, Department of Information and Communication Technology Services)

Abstract

The Cybermedia Center at Osaka University started the operation of a supercomputing system named Supercomputer for Quest to Unsolved Interdisciplinary Datascience (SQUID) in May 2021. SQUID is a hybrid supercomputing system composed of three kinds of heterogeneous compute nodes and delivers 16.591 PFlops as the theoretical performance. This paper overviews the architecture and structure of SQUID and then explains the five challenges which we have set in designing SQUID: Tailor-made computing, HPC and HPDA integration, Cloud-interlinked and -synergized, Secure computing environment, and Data aggregation environment. After that, the future issues to be tackled through the actual operation of SQUID are described.

Suggested Citation

  • Susumu Date & Yoshiyuki Kido & Yuki Katsuura & Yuki Teramae & Shinichiro Kigoshi, 2023. "Supercomputer for Quest to Unsolved Interdisciplinary Datascience (SQUID) and its Five Challenges," Springer Books, in: Michael M. Resch & Johannes Gebert & Hiroaki Kobayashi & Wolfgang Bez (ed.), Sustained Simulation Performance 2021, pages 1-19, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-18046-0_1
    DOI: 10.1007/978-3-031-18046-0_1
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