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Kawamura, Takuma; Sakamoto, Naohisa*
no journal, ,
The visualization library KVS is equipped with various visualization methods and is used by domestic and foreign researchers. Particle-Based Volume Rendering (PBVR), which is implemented in KVS, does not require sorting computation in alpha blending and has advantages in parallel visualization for large-scale data. In this study, we extended the functionality of the visualization library KVS, including PBVR, for the Oculus head-mounted display, and built a client-server remote VR visualization application as a use case.
Yano, Midori; Kawamura, Takuma; Hasegawa, Yuta; Idomura, Yasuhiro
no journal, ,
Visualizing a large amount of ensemble data and time series data generated from extreme scale simulations is difficult because of limitations on the performance of data I/O, data transfer, and visualization. In-Situ visualization techniques that visualize simulations at runtime are promising solutions for this problem. This study proposes an in-situ statistical analysis method, applies it to time-series data of a real-time plume dispersion simulation, and analyzes winds and concentration statistically using a scatter plot and glyph in a target 3D space. Users can map statistical data to glyph design and visualize statistical properties of the simulation interactively.