The International Conference for High Performance Computing, Networking, Storage, and Analysis
The International Conference for High Performance Computing, Networking, Storage, and Analysis
Workshop:ISAV 2020: In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization
Authors: Yuya Kawakami (Grinnell College), Nicole Marsaglia (University of Oregon), Matthew Larsen (Lawrence Livermore National Laboratory), and Hank Childs (University of Oregon)
Abstract: This work considers evaluating in situ triggers using reconstruction error. Our experiments consider data from the Nyx and Cloverleaf simulation codes, and focus on two key topics. The first topic aims to increase understanding of total reconstruction error, both with respect to the impact of adding more time slices and with respect to the variation from different time slice selections. The second topic evaluates performance for two current approaches: entropy-based triggers and evenly spaced time slices. Finally, we use these study components to construct a benchmarking system that enables visualization scientists to reason about triggers.