The International Conference for High Performance Computing, Networking, Storage, and Analysis
The International Conference for High Performance Computing, Networking, Storage, and Analysis
Workshop: ISAV23: In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization
Authors: Taisei Matsushima, Ken Iwata, and Naohisa Sakamoto (Kobe University, Japan); Jorji Nonaka (RIKEN Center for Computational Science (R-CCS)); and Chongke Bi (Tianjin University, China)
Abstract: In-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.