Distributed post-processing and rendering for large-scale scientific simulations

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Abstract

With the ever-increasing capacity of high performance computing (HPC) systems, the computational simulation models become still finer and more accurate. However, the size and complexity of the data produced poses tremendous challenges for the visualization and analysis task. Especially when explorative approaches are demanded, distributed and parallel post-processing architectures have to be developed in order to allow interactive human-computer interfaces. Such infrastructures can also be exploited for the evaluation of ongoing simulation runs. The application here ranges from online monitoring to computational steering. But also remote and parallel rendering can be integrated into the overall setup. This chapter gives an overview of current solutions and ongoing research activities in this domain.

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Flatken, M., Wagner, C., & Gerndt, A. (2014). Distributed post-processing and rendering for large-scale scientific simulations. Mathematics and Visualization, 37, 381–398. https://doi.org/10.1007/978-1-4471-6497-5_31

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