High-performance Computing Resources of South Ural State University

Authors

  • Roman V. Bilenko South Ural State University
  • Natalia Yu. Dolganina South Ural State University
  • Elena V. Ivanova South Ural State University
  • Alexander I. Rekachinsky South Ural State University

DOI:

https://doi.org/10.14529/cmse220102

Keywords:

supercomputer, neurocomputer, parallel storage system, supercomputer administration, supercomputer modeling, neural networks

Abstract

Currently, South Ural State University has achieved significant results in the field of supercomputer modeling, artificial intelligence and big data. SUSU has an energy-efficient supercomputer “Tornado SUSU”, which ranks 15th in the ranking of the most powerful supercomputers of the CIS TOP50 (September 2021). For research in artificial neural networks, a specialized multiprocessor “Neurocomputer” complex was installed at SUSU. The “Neurocomputer” uses powerful advanced graphics accelerators to train neural networks. The supercomputer and the “Neurocomputer” are at the center of the scientific life of the University, allowing for the most complex calculations in the field of engineering, natural sciences, human sciences and artificial intelligence. SUSU computing resources are used in education and for commercial purposes to calculate the tasks of the University’s partners. The paper describes the characteristics of high-performance SUSU equipment, available system and application parallel software, provides information about solved scientific and engineering tasks.

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Published

2022-04-12

Issue

Vol. 11 No. 1 (2022)

Section

Informatics, Computers and Control

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Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.