Visual Analysis of Large Multi-Field AMR Data on GPUs Using Interactive Volume Lines

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Stefan Zellmann, Serkan Demirci, Ugur Gudukbay

 Room: 104

2023-10-25T03:09:00ZGMT-0600Change your timezone on the schedule page
2023-10-25T03:09:00Z

Exemplar figure, described by caption below — Coupled interactive volume lines (IVL) and large volume visualization. At the top we show volume renderings of four different fields of an astrophysical data set; at the bottom, we show two different representations of IVLs as a way to visually explore large AMR volumes using techniques from visual analytics.

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Keywords

Human-centered computing—Visualization—Visualization application domains—Visual analytics; Human-centered computing—Visualization—Visualization application domains—Scientific visualization

Abstract

To visually compare ensembles of volumes, dynamic volume lines (DVLs) represent each ensemble member as a 1D polyline. To compute these, the volume cells are sorted on a space-filling curve and scaled by the ensemble’s local variation. The resulting 1D plot can augment or serve as an alternative to a 3D volume visualization free of visual clutter and occlusion. Interactively computing DVLs is challenging when the data is large, and the volume grid is not structured/regular, as is often the case with computational fluid dynamics simulations. We extend DVLs to support large-scale, multi-field adaptive mesh refinement (AMR) data that can be explored interactively. Our GPU-based system updates the DVL representation whenever the data or the alpha transfer function changes. We demonstrate and evaluate our interactive prototype using large AMR volumes from astrophysics simulations.