防災意識の向上を目的としたボクセルデータに基づく大規模可視化システムの開発

抄録

In order to educate people on disaster prevention, it is necessary to create a simulated experience that motivates people to engage in disaster prevention. In this study, we focus on a visualization system utilizing the results of numerical analysis. For simulations of disaster phenomena, various numerical analysis methods are used depending on the target, and parallel computing is employed to handle large-scale data. We apply parallel computation scheme to the marching cube method with a signed distance function and aim to generate a generic and fast 3D model of distributed data associated with large-scale parallel numerical analysis. The performance of the proposed method is evaluated for the surface mesh generation of Stanford bunny model.