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Code Optimization Activities Toward a High Sustained Simulation Performance

  • Ryusuke EgawaEmail author
  • Kazuhiko Komatsu
  • Hiroaki Kobayashi
Conference paper

Abstract

Rapid evolutions of HPC systems bring us a high computational capability. However, it is getting harder to exploit the potential of a HPC system due to the increases in system complexity. To create significant scientific and innovative results by numerical simulations using supercomputers, the collaboration of computational scientists and computer scientists is mandatory. In this article, joint research activities and the code optimization supports promoted in Cyberscience Center are introduced.

Keywords

Stride Length Joint Research Code Optimization Sustained Performance Future System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

The authors would like to express our gratitude for Koki Okabe, Kenji Oizumi, Satoshi Ono, Takeshi Yamashita, Daisuke Sasaki, Tomohide Moriya, Atsuko Saito of Tohoku University, Yoko Isobe, Osamu Watanabe, Hiroshi Matsuoka, Akihiro Musa, Takashi Soga, Yoichi Shimomura of NEC Corporation for their continuous supports on code optimizations. This research was partially supported by Core Research of Evolutional Science and Technology of Japan Science and Technology Agency (JST CREST), “An Evolutionary Approach to Construction of a Software Development Environment for Massively-Parallel Heterogeneous Systems.” This research uses the SX-9, SX-ACE systems in Cyberscience Center of Tohoku University.

References

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Ryusuke Egawa
    • 1
    Email author
  • Kazuhiko Komatsu
    • 1
  • Hiroaki Kobayashi
    • 2
  1. 1.Cyberscience CenterTohoku University/JST CRESTSendaiJapan
  2. 2.Cyberscience CenterTohoku UniversitySendaiJapan

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