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肖艳阳, 李渭, 徐少平. 三维精确power图的GPU并行计算[J]. 计算机辅助设计与图形学学报, 2023, 35(12): 1958-1965. DOI: 10.3724/SP.J.1089.2023.2023-00018
引用本文: 肖艳阳, 李渭, 徐少平. 三维精确power图的GPU并行计算[J]. 计算机辅助设计与图形学学报, 2023, 35(12): 1958-1965. DOI: 10.3724/SP.J.1089.2023.2023-00018
Xiao Yanyang, Li Wei, Xu Shaoping. Parallel Computation of 3D Accurate Power Diagrams on GPU[J]. Journal of Computer-Aided Design & Computer Graphics, 2023, 35(12): 1958-1965. DOI: 10.3724/SP.J.1089.2023.2023-00018
Citation: Xiao Yanyang, Li Wei, Xu Shaoping. Parallel Computation of 3D Accurate Power Diagrams on GPU[J]. Journal of Computer-Aided Design & Computer Graphics, 2023, 35(12): 1958-1965. DOI: 10.3724/SP.J.1089.2023.2023-00018

三维精确power图的GPU并行计算

Parallel Computation of 3D Accurate Power Diagrams on GPU

  • 摘要: power图(加权Voronoi图)的计算是计算机图形学和计算几何等领域的一项基础任务.针对求解三维power图的传统串行方法所需的时间成本较高,且现有并行算法所得结果为近似解,提出一种新颖的GPU并行计算方法.首先给出power图与高一维受限Voronoi图的等价构造方法,将Voronoi图的无网格方法直接推广到power图的计算.因此,给定的加权种子点被置于更高一维空间中的一组方格内,据此快速搜索每个种子点的邻居关系,进而使用各个种子点与其若干个邻居的中垂面对各自的power胞元进行并行裁剪,以快速地获取三维空间中的精确power图.对比不同求解域下和5万个种子点的计算耗时,比现有方法具有超过3倍的加速比.

     

    Abstract: The computation of power diagram (or weighted Voronoi diagram) is a fundamental task in computer graphics and computational geometry etc. Given the high time cost of serial methods and non-accurate results generated by parallel methods, a novel parallel computing method on GPU is proposed in this paper. We first give the equivalent construction from power diagrams to restricted Voronoi diagrams in one dimension higher, allowing us to extend the meshless method for generating Voronoi diagrams to the computation of power diagrams. Based on which, the given weighted sites are placed into a set of grids in the space with one dimension higher, from where the neighbors of each site can be identified quickly, then the power cells are clipped in parallel by using the bisectors between the corresponding site and the neighbors, which can efficiently obtain accurate power diagrams in the 3D space. By comparing the time cost under different domains and 50 thousand sites, the proposed method possesses more than three times the acceleration ratio with existing methods.

     

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