We present a data-level comparative visualization system that utilizes two key pieces of technology: (1) cross-mesh field evaluation – algorithms to evaluate a field from one mesh onto another – and (2) a highly flexible system for creating new derived quantities. In contrast to previous comparative visualization efforts, which focused on “A−B" comparisons, our system is able to compare many related simulations in a single analysis. Types of possible novel comparisons include comparisons of ensembles of data generated through parameter studies, or comparisons of time-varying data. All portions of the system have been parallelized and our results are applicable to tera-scale and even peta-scale data sets.
Hank Childs, Sean Ahern, Jeremy S. Meredith, Mark