Abstract
Whereas the design and development of numerical solvers for field-based simulations is a highly evolved discipline, and whereas there exists a wide range of visualization techniques for the (in-situ) analysis of their numerical results, the techniques for analyzing the operation of such solvers are rather elementary. In this paper, we present a visualization approach for in-situ analysis of the processes within numerical solvers. That is, instead of visualizing the data that result from such solvers, we address the visualization of the processes that generate the data. We exemplify our approach using different simulation runs, and discuss its in-situ application in high-performance computing environments.
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Acknowledgments
This work was supported by Forschungsallianz Baden-Württemberg, “Data-Integrated Simulation Science (DISS)”, and the Heidelberg Graduate School of Mathematical and Computational Methods for the Sciences (HGS MathComp), founded by DFG grant GSC 220 in the German Universities Excellence Initiative.
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Sdeo, K., Zheng, B., Piatkowski, M., Sadlo, F. (2018). In-Situ Visualization of Solver Residual Fields. In: Yokota, R., Weiland, M., Shalf, J., Alam, S. (eds) High Performance Computing. ISC High Performance 2018. Lecture Notes in Computer Science(), vol 11203. Springer, Cham. https://doi.org/10.1007/978-3-030-02465-9_20
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DOI: https://doi.org/10.1007/978-3-030-02465-9_20
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