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

Graphics 2023-06-21 v1 Information Retrieval Performance

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.

Keywords

Cite

@article{arxiv.2306.11612,
  title  = {Visual Analysis of Large Multi-Field AMR Data on GPUs Using Interactive Volume Lines},
  author = {Stefan Zellmann and Serkan Demirci and Uğur Güdükbay},
  journal= {arXiv preprint arXiv:2306.11612},
  year   = {2023}
}

Comments

IEEE VIS 2023 Short Paper

R2 v1 2026-06-28T11:09:46.587Z