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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Pleiades Publishing
2021
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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. |
author_sort | Lapshina, S. Yu. |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-7861163 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Pleiades Publishing |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT lapshinasyu theoptimalprocessorcoresnumberresearchfortheparallelclustermultiplelabelingtechnique AT lapshinasyu optimalprocessorcoresnumberresearchfortheparallelclustermultiplelabelingtechnique |