Hi all, I'm curious if there might be a way to speed up isocontour flux extraction for my dataset. Profiling my isocontour extraction script, it seems about 2/3 of the time is spent generating ghost zones, with the rest in march_cubes_grid_flux. This dataset might be suboptimal for this sort of thing as there is a large number of relatively small grids, so any operation that loops over grids or generates ghost zones is going to be a bit slow. Would generating a covering grid and then doing isocontour extraction on the unigrid dataset be faster? My dataset is nested AMR and most of the structure that I'm interested in is near the maximum refinement level. Perhaps downsampling the data a bit will also help. Is there anything else I might try to speed things up? Thanks for any advice you might have, -Nathan