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

Stefan Zellmann, Serkan Demirci, Ugur Gudukbay

Room: 104

2023-10-25T03:09:00ZGMT-0600Change your timezone on the schedule page
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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Human-centered computing—Visualization—Visualization application domains—Visual analytics; Human-centered computing—Visualization—Visualization application domains—Scientific visualization


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.