AOBA: The Most Powerful Vector Supercomputer in the World

  • Conference paper
  • First Online:
Sustained Simulation Performance 2022 (WSSP 2022, WSSP 2022)

Abstract

The Innovative High-Performance Computing Infrastructure (HPCI) connects major supercomputers of universities and research institutions in Japan. Today, there is a diversity of High-Performance Computing (HPC) system architectures.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
EUR 29.95
Price includes VAT (Germany)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
EUR 128.39
Price includes VAT (Germany)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
EUR 171.19
Price includes VAT (Germany)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Agung, M., Watanabe, Y., Weber, H., Egawa, R., Takizawa, H.: Preemptive parallel job scheduling for heterogeneous systems supporting urgent computing. IEEE Access 9, 17557–17571 (2021)

    Article  Google Scholar 

  2. Date, S., Kataoka, H., Gojuki, S., Katsuura, Y., Teramae, Y., Kigoshi, S.: First experience and practice of cloud bursting extension to OCTOPUS. In: Proceedings of the 10th International Conference on Cloud Computing and Services Science - CLOSER, pp. 448–455 (2020)

    Google Scholar 

  3. Egawa, R., Fujimoto, S., Yamashita, T., Sasaki, D., Isobe, Y., Shimomura, Y., Takizawa, H.: Exploiting the potentials of the second generation SX-Aurora TSUBASA. In: 2020 IEEE/ACM Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS), pp. 39–49 (2020)

    Google Scholar 

  4. Egawa, R., Komatsu, K., Momose, S., Isobe, Y., Musa, A., Takizawa, H., Kobayashi, H.: Potential of a modern vector supercomputer for practical applications: performance evaluation of SX-ACE. J. Supercomput. 73, 3948–3976 (2017)

    Article  Google Scholar 

  5. Ke, Y., Agung, M., Takizawa, H.: neoSYCL: a SYCL implementation for SX-Aurora TSUBASA. In: The International Conference on High Performance Computing in Asia-Pacific Region, pp. 50–57 (2021)

    Google Scholar 

  6. Li, J., Agung, M., Takizawa, H.: Evaluating the performance and conformance of a SYCL implementation for SX-Aurora TSUBASA. In: 22nd International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT), pp. 36–47 (2021)

    Google Scholar 

  7. Musa, A., Watanabe, O., Matsuoka, H., Hokari, H., Inoue, T., Murashima, Y., Ohta, Y., Hino, R., Koshimura, S., Kobayashi, H.: Real-time tsunami inundation forecast system for tsunami disaster prevention and mitigation. J. Supercomput. 74, 3093–3113 (2018)

    Article  Google Scholar 

  8. NEC: VE offloading: Introduction. https://www.hpc.nec/documents/veos/en/veoffload/index.html. Accessed 27 Aug 2021

  9. Ohmura, T., Shimomura, Y., Egawa, R., Takizawa, H.: Toward building a digital twin of job scheduling and power management on an HPC system. In: 25th Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP) (2022)

    Google Scholar 

  10. Shimomura, Y., Musa, A., Sato, Y., Konja, A., Cui, G., Aoyagi, R., Takahashi, K., Takizawa, H.: A real-time flood inundation prediction on SX-Aurora TSUBASA. In: 29th IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC2022) (2022)

    Google Scholar 

  11. Takizawa, H., Shiotsuki, S., Ebata, N., Egawa, R.: An OpenCL-like offload programming framework for SX-Aurora TSUBASA. In: 20th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT), pp. 282–288 (2019)

    Google Scholar 

  12. Takizawa, H., Shiotsuki, S., Ebata, N., Egawa, R.: OpenCL-like offloading with metaprogramming for SX-Aurora TSUBASA. Parallel Comput. 102, 102754 (2021)

    Article  Google Scholar 

  13. Tohoku University Takizawa Laboratory: neoSYCL (2022). https://github.com/Tohoku-University-Takizawa-Lab/neoSYCL

  14. Wang, W., Li, J., Shimomura, Y., Takizawa, H.: A memory bank conflict prevention mechanism for SYCL on SX-Aurora TSUBASA. In: International Symposium on Computing and Networking (CANDAR) Workshops, pp. 217–222 (2021)

    Google Scholar 

  15. Yamada, Y., Momose, S.: Vector engine processor of NEC’s brand-new supercomputer SX-Aurora TSUBASA. In: Proceedings of a Symposium on High Performance Chips (Hot Chips), vol. 30, pp. 19–21 (2018)

    Google Scholar 

Download references

Acknowledgements

This work is partially supported by MEXT Next Generation High-Performance Computing Infrastructures and Applications R &D Program “R &D of a Quantum-Annealing-Assisted Next Generation HPC Infrastructure and its Applications,” and JSPS KAKENHI Grant Numbers JP20H00593, JP21H03449, and JP22K19764.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hiroyuki Takizawa .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Takizawa, H. et al. (2024). AOBA: The Most Powerful Vector Supercomputer in the World. In: Resch, M.M., Gebert, J., Kobayashi, H., Takizawa, H., Bez, W. (eds) Sustained Simulation Performance 2022. WSSP WSSP 2022 2022. Springer, Cham. https://doi.org/10.1007/978-3-031-41073-4_6

Download citation

Publish with us

Policies and ethics

Navigation