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ReVisE: Remote visualization environment for large numerical simulation datasets
The paper presents a new open-source visualization system, named ReVisE, aimed to provide interactive visualization of large datasets, which are results of complex numerical simulations. These datasets are hosted on a remote server or a supercomputer. The design of the system is briefly described. D...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8315543/ https://www.ncbi.nlm.nih.gov/pubmed/34314456 http://dx.doi.org/10.1371/journal.pone.0255030 |
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author | Orlov, Stepan Kuzin, Alexey Zhuravlev, Alexey Reshetnikov, Vyacheslav Usik, Egor Kiev, Vladislav Pyatlin, Andrey |
author_facet | Orlov, Stepan Kuzin, Alexey Zhuravlev, Alexey Reshetnikov, Vyacheslav Usik, Egor Kiev, Vladislav Pyatlin, Andrey |
author_sort | Orlov, Stepan |
collection | PubMed |
description | The paper presents a new open-source visualization system, named ReVisE, aimed to provide interactive visualization of large datasets, which are results of complex numerical simulations. These datasets are hosted on a remote server or a supercomputer. The design of the system is briefly described. Dataset representation, proposed for interactive visualization and implemented in the system, is discussed. The effectiveness of our approach is confirmed by results of performance measurements on test and real-life large datasets. A comparison with other visualization systems is presented. Future plans of system development are outlined. |
format | Online Article Text |
id | pubmed-8315543 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-83155432021-07-31 ReVisE: Remote visualization environment for large numerical simulation datasets Orlov, Stepan Kuzin, Alexey Zhuravlev, Alexey Reshetnikov, Vyacheslav Usik, Egor Kiev, Vladislav Pyatlin, Andrey PLoS One Research Article The paper presents a new open-source visualization system, named ReVisE, aimed to provide interactive visualization of large datasets, which are results of complex numerical simulations. These datasets are hosted on a remote server or a supercomputer. The design of the system is briefly described. Dataset representation, proposed for interactive visualization and implemented in the system, is discussed. The effectiveness of our approach is confirmed by results of performance measurements on test and real-life large datasets. A comparison with other visualization systems is presented. Future plans of system development are outlined. Public Library of Science 2021-07-27 /pmc/articles/PMC8315543/ /pubmed/34314456 http://dx.doi.org/10.1371/journal.pone.0255030 Text en © 2021 Orlov et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Orlov, Stepan Kuzin, Alexey Zhuravlev, Alexey Reshetnikov, Vyacheslav Usik, Egor Kiev, Vladislav Pyatlin, Andrey ReVisE: Remote visualization environment for large numerical simulation datasets |
title | ReVisE: Remote visualization environment for large numerical simulation datasets |
title_full | ReVisE: Remote visualization environment for large numerical simulation datasets |
title_fullStr | ReVisE: Remote visualization environment for large numerical simulation datasets |
title_full_unstemmed | ReVisE: Remote visualization environment for large numerical simulation datasets |
title_short | ReVisE: Remote visualization environment for large numerical simulation datasets |
title_sort | revise: remote visualization environment for large numerical simulation datasets |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8315543/ https://www.ncbi.nlm.nih.gov/pubmed/34314456 http://dx.doi.org/10.1371/journal.pone.0255030 |
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