Advances in Research and Application of In-situ Visualization

Authors

Wang Fang, 1. School of Computer, National University of Defense Technology, Changsha 410073, China;;2. Computational Aerodynamics Institute, China Aerodynamics Research and Development Center, Mianyang 621000, China;
Sikun Li, 1. School of Computer, National University of Defense Technology, Changsha 410073, China;;
Zhao Dan, 2. Computational Aerodynamics Institute, China Aerodynamics Research and Development Center, Mianyang 621000, China;
Zeng Liang, 1. School of Computer, National University of Defense Technology, Changsha 410073, China;;

Abstract

Abstract: Scientific-Visualization is the most effective means of analyzing numerical simulation data. With the continuous improvement of the high performance computing technology, numerical simulation scale is growing rapidly. It is very difficult to analyze large scale parallel numerical simulation data efficiently due to the limits of IO bandwidth, storage system capacity and post processing pattern of visualization. In-situ visualization utilized the same computer system that ran the simulation tasks to operate visual computing and rendering, so it could overcome the limits of IO and storage system. The advances of in-situ visualization in recent years were reviewed, including data management, large-scale parallel visualization algorithm, interaction, application framework, visualization software and some use cases. The challenges and trends of in-situ visualization were discussed.

Recommended Citation

Fang, Wang; Li, Sikun; Dan, Zhao; and Liang, Zeng (2020) "Advances in Research and Application of In-situ Visualization," Journal of System Simulation: Vol. 27: Iss. 10, Article 53.
Available at: https://dc-china-simulation.researchcommons.org/journal/vol27/iss10/53

First Page

2589

Revised Date

2015-08-31

DOI Link

https://doi.org/

Last Page

2599

CLC

TP391

Recommended Citation

Wang Fang, Li Sikun, Zhao Dan, Zeng Liang. Advances in Research and Application of In-situ Visualization[J]. Journal of System Simulation, 2015, 27(10): 2589-2599.