Abstract
Understanding the performance behaviour of high-performance computing (hpc) applications based on performance profiles is a challenging task. Phenomena in the performance behaviour can stem from the hpc system itself, from the application’s code, but also from the application domain. In order to analyse the latter phenomena, we propose a system that visualizes profile-based performance data in its spatial context in the application domain, i.e., on the geometry processed by the application. It thus helps hpc experts and simulation experts understand the performance data better. Furthermore, it reduces the initially large search space by automatically labelling those parts of the data that reveal variation in performance and thus require detailed analysis.
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CITATION STYLE
Vierjahn, T., Kuhlen, T. W., Müller, M. S., & Hentschel, B. (2017). Visualizing performance data with respect to the simulated geometry. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10164 LNCS, pp. 212–222). Springer Verlag. https://doi.org/10.1007/978-3-319-53862-4_18
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