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The Optimal Processor Cores’ Number Research for the Parallel Cluster Multiple Labeling Technique

The article is about the research of a optimum number of processor cores for launching the Parallel Cluster Multiple Labeling Technique in the course of conducting simulation experiments during multi-agent modeling of the spread of mass epidemics on modern supercomputer systems installed in the JSCC...

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Detalles Bibliográficos
Autor principal: Lapshina, S. Yu.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Pleiades Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7861163/
http://dx.doi.org/10.1134/S1995080220120240
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author Lapshina, S. Yu.
author_facet Lapshina, S. Yu.
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description The article is about the research of a optimum number of processor cores for launching the Parallel Cluster Multiple Labeling Technique in the course of conducting simulation experiments during multi-agent modeling of the spread of mass epidemics on modern supercomputer systems installed in the JSCC RAS. This technique may be used in any field as a tool for differentiating large lattice clusters, because it is given input in a format independent of the application. At the JSCC RAS, this tool was used to study the problem of the spread of epidemics, for which an appropriate multiagent model was developed.
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spelling pubmed-78611632021-02-05 The Optimal Processor Cores’ Number Research for the Parallel Cluster Multiple Labeling Technique Lapshina, S. Yu. Lobachevskii J Math Article The article is about the research of a optimum number of processor cores for launching the Parallel Cluster Multiple Labeling Technique in the course of conducting simulation experiments during multi-agent modeling of the spread of mass epidemics on modern supercomputer systems installed in the JSCC RAS. This technique may be used in any field as a tool for differentiating large lattice clusters, because it is given input in a format independent of the application. At the JSCC RAS, this tool was used to study the problem of the spread of epidemics, for which an appropriate multiagent model was developed. Pleiades Publishing 2021-02-04 2020 /pmc/articles/PMC7861163/ http://dx.doi.org/10.1134/S1995080220120240 Text en © Pleiades Publishing, Ltd. 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Lapshina, S. Yu.
The Optimal Processor Cores’ Number Research for the Parallel Cluster Multiple Labeling Technique
title The Optimal Processor Cores’ Number Research for the Parallel Cluster Multiple Labeling Technique
title_full The Optimal Processor Cores’ Number Research for the Parallel Cluster Multiple Labeling Technique
title_fullStr The Optimal Processor Cores’ Number Research for the Parallel Cluster Multiple Labeling Technique
title_full_unstemmed The Optimal Processor Cores’ Number Research for the Parallel Cluster Multiple Labeling Technique
title_short The Optimal Processor Cores’ Number Research for the Parallel Cluster Multiple Labeling Technique
title_sort optimal processor cores’ number research for the parallel cluster multiple labeling technique
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7861163/
http://dx.doi.org/10.1134/S1995080220120240
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