The challenges of elastic in situ analysis and visualization
Matthieu Dorier, Orçun Yildiz, Tom Peterka, Robert B. Ross · 2019
In situ analysis and visualization have been proposed in high-performance computing (HPC) to enable executing analysis tasks while a simulation is running, bypassing the parallel file system and avoiding the need for storing massive amounts of data. One aspect of in situ analysis that has not been extensively researched to date, however, is elasticity. Current in situ analysis frameworks use a fixed amount of resources and can hardly be scaled up or down dynamically throughout the simulation's run time as a response to changes in the requirements.