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In situ analysis and visualization of massively parallel computations.
- Source :
-
International Journal of High Performance Computing Applications . Spring2017, Vol. 31 Issue 1, p83-90. 8p. - Publication Year :
- 2017
-
Abstract
- Massively parallel simulations generate increasing volumes of big data, whose exploitation requires increasingly large storage resources, efficient networking technologies and post-processing facilities. In the coming era of exascale supercomputing, there is an emerging need for new data analysis and visualization strategies. A promising solution consists of coupling analysis with simulation, so that both are performed simultaneously. This paper describes a client-server in situ analysis for massively parallel time-evolving computations. Its application to very large turbulent transition simulations using a spectral approximation is presented. It is shown to have a low impact on the computational time with a reasonable increase of resource usage, while enriching data exploration. Computational steering is performed with real-time adjustment of the simulation parameters, thereby getting closer to a numerical experiment process. This would not have been achieved with a classical work flow using off-line visualization. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 10943420
- Volume :
- 31
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- International Journal of High Performance Computing Applications
- Publication Type :
- Academic Journal
- Accession number :
- 120638191
- Full Text :
- https://doi.org/10.1177/1094342015597081