Towards Exascale Computing Architecture and Its Prototype: Services and Infrastructure

Authors

  • Jan Meizner ACC Cyfronet, AGH University of Science and Technology, Krakow, Poland & Sano Centre for Computational Medicine, Krakow, Poland
  • Piotr Nowakowski ACC Cyfronet, AGH University of Science and Technology, Krakow, Poland & Sano Centre for Computational Medicine, Krakow, Poland
  • Jan Kapala ACC Cyfronet, AGH University of Science and Technology, Krakow, Poland
  • Patryk Wojtowicz ACC Cyfronet, AGH University of Science and Technology, Krakow, Poland
  • Marian Bubak ACC Cyfronet & Department of Computer Science, AGH University of Science and Technology, Krakow, Poland & Sano Centre for Computational Medicine, Krakow, Poland
  • Viet Tran Institute of Informatics, Slovak Academy of Sciences, Dúbravská cesta 9, 845 07 Bratislava, Slovakia
  • Martin Bobák Institute of Informatics, Slovak Academy of Sciences, Dúbravská cesta 9, 845 07 Bratislava, Slovakia
  • Maximilian Höb Munich Network Management Team (MNM-Team), Ludwig-Maximilians-Universität, Munich, Germany

DOI:

https://doi.org/10.31577/cai_2020_4_860

Keywords:

Exascale computing, large data sets, HPC, cloud computing

Abstract

This paper presents the design and implementation of a scalable compute platform for processing large data sets in the scope of the EU H2020 project PROCESS. We are presenting requirements of the platform, related works, infrastructure with focus on the compute components and finally results of our work.

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Published

2021-01-12

How to Cite

Meizner, J., Nowakowski, P., Kapala, J., Wojtowicz, P., Bubak, M., Tran, V., … Höb, M. (2021). Towards Exascale Computing Architecture and Its Prototype: Services and Infrastructure. Computing and Informatics, 39(4), 860–880. https://doi.org/10.31577/cai_2020_4_860

Issue

Vol. 39 No. 4 (2020): Computing and Informatics

Section

Special Section Articles

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