日本シミュレーション学会英文誌
Online ISSN : 2188-5303
ISSN-L : 2188-5303
Papers
Autonomous camera for agent-based in situ visualization
Wang Yan Akira Kageyama
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2022 年 9 巻 2 号 p. 220-230

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For effective in situ visualization in high performance computing, a viewpoint should be placed close to a critical spot or volume-of-interest (VOI). In order to track unpredictable motions of VOI in simulations, we propose introducing agent-based modeling to the in-situ visualization. In this method, agents are autonomous cameras, and their environment is the simulation. As a demonstration experiment of the agent-based in situ visualization, we put a camera agent to 3D cellular automata. The camera agent successfully tracks a VOI of cells in highly complex time development.

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© 2022 Japan Society for Simulation Technology
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