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Information Entropy-Based Camera Focus Point and Zoom Level Adjustment for Smart In-Situ Visualization
DescriptionIn-situ processing has widely been recognized as an effective approach for the visualization and analysis of large-scale simulation outputs from modern HPC systems. However, traditional batch-based in-situ visualization can produce large amounts of rendering results for post-hoc visual analysis, which can make it difficult to gain rapid insight into the simulation results during post-hoc visual analysis. As an alternative to accelerate the process of obtaining scientific knowledge, we have worked on a smart visualization approach, focusing on extracting a set of images that may facilitate the rapid understanding of the underlying simulated phenomena. In this work, we present a method for automatically adjusting the camera focus point and zoom level during in-situ visualization. We integrated the proposed approach with the existing in-situ smooth camera path estimation method for evaluation purposes and used two CFD simulation codes and two HPC systems (x86 Server and Arm-based Fugaku supercomputer) for the evaluations.
Event Type
Workshop
TimeMonday, 13 November 20239:30am - 9:40am MST
Location506
Tags
Data Analysis, Visualization, and Storage
Large Scale Systems
Performance Measurement, Modeling, and Tools
Registration Categories
W