High-performance Computing Platforms for Organizing the Educational Process on the Basis of the International School “Data Science” Article Swipe
Sergey Belov
,
Daria Priakhina
,
D. V. Podgainy
,
Ivan Kadochnikov
,
P. Zrelov
,
M. A. Matveev
,
V. Korenkov
,
R. Semenov
,
Oksana Streltsova
·
YOU?
·
· 2019
· Open Access
·
YOU?
·
· 2019
· Open Access
·
With the transition to the digital economy, the demand for specialists with advanced knowledge Mining Big Data, including using high-performance computing systems, is growing. The International School of Information Technologies “Data Science” was created on the initiative of the Joint Institute for Nuclear Research (JINR). The goal of the IT School is to train highly qualified IT specialists in the field of Data Science who will be able to use Big Data analytics to solve scientific and practical problems. In this paper, we discuss the features, structure, and properties of high-performance computing platforms that are used in educational processes and research activities of the IT School at Dubna State University and Plekhanov Russian University of Economics (PRUE). The educational program of the IT School at Dubna State University was developed taking into account the JINR personnel requirements and uses services and resources of the HybriLIT platform to help with students’ practical engagement for effective learning. To solve economic and socially important problems, a universal platform that includes a high-performance heterogeneous subsystem, a cloud infrastructure, and a storage system was created at PRUE. The scientific laboratory “Cloud technologies and Big Data analytics” of PRUE elaborated a special educational program “Introduction to distributed computing and Big Data analytics” on the basis of these resources. Access to adequate tools and resources is vital for education in data science, Big Data analytics, and parallel programming.
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- en
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- https://publications.jinr.ru/record/152866
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https://openalex.org/W3187418527Canonical identifier for this work in OpenAlex
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High-performance Computing Platforms for Organizing the Educational Process on the Basis of the International School “Data Science”Work title
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articleOpenAlex work type
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enPrimary language
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2019Year of publication
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2019-01-01Full publication date if available
- Authors
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Sergey Belov, Daria Priakhina, D. V. Podgainy, Ivan Kadochnikov, P. Zrelov, M. A. Matveev, V. Korenkov, R. Semenov, Oksana StreltsovaList of authors in order
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https://publications.jinr.ru/record/152866Publisher landing page
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://publications.jinr.ru/record/152866Direct OA link when available
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Process (computing), Computer science, Data science, Mathematics education, Psychology, Operating systemTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2022: 1Per-year citation counts (last 5 years)
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20Other works algorithmically related by OpenAlex
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