Feature Analysis, Tracking, and Data Reduction: An Application to Multiphase Reactor Simulation MFiX-Exa for <i>In-Situ</i> Use Case

As we enter the exascale computing regime, powerful supercomputers continue to produce much higher amounts of data than what can be stored for offline processing. To utilize such high compute capabilities on these machines, processing needs happen in situ, when full high-resolution is available at supercomputer memory. In this article, discuss our MFiX-Exa simulation, which models multiphase flow by tracking a very large number particles through simulation domain. one use cases, carbon interact with air dioxide bubbles from reactor. These are primary interest domain experts simulations. For particle-based propose streaming technique that deployed situ efficiently identify bubbles, track them over time, and down-sample minimal loss features.