YYZVis: An Efficient Visualization Toolkit for Yin-Yang-Zhong Grid Dataset
Kaoru Uemori, Naohisa Sakamoto, Nobuaki Ohno, Akira Kageyama · Journal of Advanced Simulation in Science and Engineering · 2020
In this paper, we develop a visualization toolkit called YYZVis, which can efficiently handle a new overset grid in a sphere composed of Yin, Yang, and Zhong grids.Conventionally, in order to visualize the overset grid dataset, it must be merged into a single uniform structured volume.However, this merging process may increase memory and time complexities, and some artifacts may occur owing to interpolation errors around the boundaries of the sphere.In YYZVis, the Yin-Yang-Zhong (YYZ) grid dataset can be visualized without any grid merging process.YYZVis provides basic visualization functionalities such as isosurfaces, slice planes, and volume rendering, as modules comprise the visualization pipeline.Therefore, YYZVis allows us to efficiently develop a visualization system by combining our proposed modules with existing modules.In the experiments, we applied YYZVis to a magnetohydrodynamics simulation result and confirmed its effectiveness.