Real Time Feature Extraction and Tracking in a Computational Steering Environment

摘要: Large distributed time-varying simulations are common in many scientific domains to study the evolution of various phenomena. These produce thousands timesteps which must be analyzed and interpreted. For datasets with evolving features, feature analysis visualization tools crucial help interpret all information. example, it is usually important know how regions evolving, what their lifetimes, do they merge others, does volume/mass change, etc. To effective these routines also parallelized order operate on data where that resides. Furthermore, interacting as ongoing can aid analysis. In our previous work, we have developed a methodology for analyzing tracks 3D amorphous features evolve time. this paper, describe full parallel extraction tracking algorithm within computational steering environment simulations. We demonstrate one interact code show examples