The International Conference for High Performance Computing, Networking, Storage, and Analysis
The International Conference for High Performance Computing, Networking, Storage, and Analysis
Workshop: ISAV 2022: In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization
Authors: Nicole Marsaglia (Lawrence Livermore National Laboratory) and Meghanto Majumder and Hank Childs (University of Oregon)
Abstract: We contribute a new approach for in situ automation of camera placement over time. Our approach incorporates triggers, regularly evaluating the current camera placement and searching for a new camera placement when a trigger fires. We evaluate our approach running in situ with five data sets from two simulation codes, considering camera placement quality (evaluated using a viewpoint quality metric) and overhead (number of camera positions evaluated). We find that our approach has a significant – reduced overhead with similar quality – compared to the naive approach of searching for a new camera placement each cycle.