Laboratoire de Mécanique des Fluides et d'Acoustique - UMR 5509

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Accueil > Équipes > Turbulence & Instabilités > Publications T&I et posters doctorants > Précédent quinquennal > Publications T&I 2017

Article dans Int. J. High Perform. Comput. Appl. (2017)

In situ analysis and visualization of massively parallel computations

Anne Cadiou, Marc Buffat, Bastien Di Pierro, Lionel Le Penven, Christophe Pera

In situ analysis and visualization of massively parallel computations

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 in coupling analysis with simulation, so that both are performed simultaneously. A client-server in-situ analysis for massively parallel time-evolving computations is described in this paper. 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 online visualization.
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