Flow visualization techniques involving extreme advection workloads are becoming increasingly popular. While these techniques often produce insightful images, the execution times to carry out the corresponding computations are lengthy. With this work, we introduce an alternative to traditional advection, which improves on performance at the cost of decreased accuracy. Our approach centers around block exterior flow maps (BEFMs), which can be used to accelerate flow computations by reducing redundant calculations. Our algorithm uses Lagrangian interpolation, but falls back to Eulerian advection whenever regions of high error are encountered. In our study, we demonstrate that the BEFM-based approach can lead to significant savings in time, with limited loss in accuracy.
Ryan Bleile, Linda Sugiyama, Christoph Garth, Hank Childs, "Accelerating advection via approximate block exterior flow maps" in Proc. IS&T Int’l. Symp. on Electronic Imaging: Visualization and Data Analysis, 2017, pp 140 - 148, https://doi.org/10.2352/ISSN.2470-1173.2017.1.VDA-397