ReVisE: Remote visualization environment for large numerical simulation datasets

Stepan Orlov; Alexey Kuzin; Alexey Zhuravlev; Vyacheslav Reshetnikov; Egor Usik; Vladislav Kiev; Andrey Pyatlin

doi:10.1371/journal.pone.0255030

ReVisE: Remote visualization environment for large numerical simulation datasets

PLoS One. 2021 Jul 27;16(7):e0255030. doi: 10.1371/journal.pone.0255030. eCollection 2021.

Authors

Stepan Orlov¹, Alexey Kuzin¹, Alexey Zhuravlev¹, Vyacheslav Reshetnikov¹, Egor Usik¹, Vladislav Kiev¹, Andrey Pyatlin¹

Affiliation

¹ Institute of Machinery, Materials, and Transport, Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russian Federation.

Abstract

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.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Algorithms
Computer Simulation
Data Visualization
Software*

Grants and funding

This work has been funded by Russian Science Foundation URL: https://rscf.ru/en/ Grant No: 18-11-00245 Authors who received award: S. Orlov, A. Kuzin, A. Zhuravlev, V. Reshetnikov, E. Usik, A. Pyatlin The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.