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HPC Resources of South Ural State University

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Parallel Computational Technologies (PCT 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1618))

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Abstract

Currently, South Ural State University (SUSU) has significant achievements in supercomputer modeling, artificial intelligence and Big Data. The high-performance resources of SUSU include an energy-efficient supercomputer “Tornado SUSU” and a specialized multiprocessor complex “Neurocomputer”. The “Tornado SUSU” supercomputer and the “Neurocomputer” complex are at the center of the scientific life of the University and enable complex calculations for engineering, natural and human sciences, artificial intelligence. The high-performance resources of SUSU are used in education and for calculating the tasks of the University’s partners. The paper describes the “Tornado SUSU” supercomputer and “Neurocomputer” complex technical features, system and application parallel software, scientific and engineering tasks solved with the help of the SUSU resources.

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Acknowledgments

The work was supported by the Ministry of Science and Higher Education of the Russian Federation (government order FENU-2020-0022) and by the Russian Foundation for Basic Research (grant No. 20-07-00140).

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Authors and Affiliations

  1. South Ural State University, Chelyabinsk, Russia

    Natalya Dolganina, Elena Ivanova, Roman Bilenko & Alexander Rekachinsky

Authors
  1. Natalya Dolganina
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  2. Elena Ivanova
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  3. Roman Bilenko
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  4. Alexander Rekachinsky
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Corresponding author

Correspondence to Natalya Dolganina .

Editor information

Editors and Affiliations

  1. South Ural State University, Chelyabinsk, Russia

    Leonid Sokolinsky

  2. South Ural State University, Chelyabinsk, Russia

    Mikhail Zymbler

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Dolganina, N., Ivanova, E., Bilenko, R., Rekachinsky, A. (2022). HPC Resources of South Ural State University. In: Sokolinsky, L., Zymbler, M. (eds) Parallel Computational Technologies. PCT 2022. Communications in Computer and Information Science, vol 1618. Springer, Cham. https://doi.org/10.1007/978-3-031-11623-0_4

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  • DOI: https://doi.org/10.1007/978-3-031-11623-0_4

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