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Abstract
Centroidal Voronoi tessellation (CVT) has been a desired technique for creating high-quality Voronoi meshes and their dual Delaunay triangulations of given domains or manifolds, especially in ocean modeling applications, thanks to its ability of generating an evenly-spaced distribution of grid points. In recent years, the creation of such meshes in high-resolution, featuring variable resolution with smooth transition, is more demanding on efficiency. However, CVT algorithms in the literature have limitations either in the iterative solvers or in memory distribution during parallelization.
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