We describe a simple yet highly parallel method for re-indexing "indexed" data sets like triangle meshes or unstructured-mesh data sets -- which is useful for operations such as removing duplicate or un-used vertices, merging different meshes, etc. In particlar, our method is parallel and GPU-friendly in the sense that it all its steps are either trivially parallel, or use GPU-parallel primitives like sorting, prefix-sum; thus making it well suited for highly parallel architectures like GPUs.

翻译：我们描述了一种简单而高度平行的重编“索引”数据集索引的方法,如三角模类或非结构化的模类数据集,这种方法对清除重复或未使用的脊椎、合并不同的模类等操作有用。在分子方面,我们的方法是平行的,GPU是友好的,因为其所有步骤要么是微不足道的平行的,要么是使用GPU-平行原始数据,如排序、前缀和,从而使它适合于像GPUs这样的高度平行的结构。