论文标题
一种简单，通用和GPU的友好方法，用于计算自适应网格精炼（AMR）数据的双网格和ISO曲面
A Simple, General, and GPU Friendly Method for Computing Dual Mesh and Iso-Surfaces of Adaptive Mesh Refinement (AMR) Data
论文作者
论文摘要
我们提出了一种新的方法，可以从结构化的AMR数据中提取无裂纹的ISO曲面，该数据比以前的技术更通用，在实现上是琐碎的，除了AMR单元格列表外，不需要其他信息，尤其是在包括OCTREE AMR，包括OCTREE AMR的不同AMR格式，包括块结构型AMR，没有任何在级别的级别结构的情况下，并且没有任何一个单个单元格的差异。我们描述了该技术的技术本身和基于CUDA的GPU实现，并在几个非平凡的AMR数据集上进行了评估。
We propose a novel approach to extracting crack-free iso-surfaces from Structured AMR data that is more general than previous techniques, is trivially simple to implement, requires no information other than the list of AMR cells, and works, in particular, for different AMR formats including octree AMR, block-structured AMR with arbitrary level differences at level boundaries, and AMR data that consist of individual cells without any existing grid structure. We describe both the technique itself and a CUDA-based GPU implementation of this technique, and evaluate it on several non-trivial AMR data sets.
