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The Role of Interactive Super-Computing in Using HPC for Urgent Decision Making

  • Nick BrownEmail author
  • Rupert Nash
  • Gordon Gibb
  • Bianca Prodan
  • Max Kontak
  • Vyacheslav Olshevsky
  • Wei Der Chien
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11887)

Abstract

Technological advances are creating exciting new opportunities that have the potential to move HPC well beyond traditional computational workloads. In this paper we focus on the potential for HPC to be instrumental in responding to disasters such as wildfires, hurricanes, extreme flooding, earthquakes, tsunamis, winter weather conditions, and accidents. Driven by the VESTEC EU funded H2020 project, our research looks to prove HPC as a tool not only capable of simulating disasters once they have happened, but also one which is able to operate in a responsive mode, supporting disaster response teams making urgent decisions in real-time. Whilst this has the potential to revolutionise disaster response, it requires the ability to drive HPC interactively, both from the user’s perspective and also based upon the arrival of data. As such interactivity is a critical component in enabling HPC to be exploited in the role of supporting disaster response teams so that urgent decision makers can make the correct decision first time, every time.

Keywords

Urgent decision making Disaster response Interactive HPC VESTEC 

Notes

Acknowledgements

This work was funded under the EU FET VESTEC H2020 project, grant agreement number 800904.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Nick Brown
    • 1
    Email author
  • Rupert Nash
    • 1
  • Gordon Gibb
    • 1
  • Bianca Prodan
    • 1
  • Max Kontak
    • 2
  • Vyacheslav Olshevsky
    • 3
  • Wei Der Chien
    • 3
  1. 1.EPCC, The University of Edinburgh, Bayes CentreEdinburghUK
  2. 2.German Aerospace Center, High-Performance Computing GroupCologneGermany
  3. 3.KTH Royal Institute of TechnologyStockholmSweden

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