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Parallel Delaunay triangulation in E2 and E3 for computers with shared memory

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TLDR
This paper presents several parallel algorithms for the construction of the Delaunay triangulation in E^2 and E^3-one of the fundamental problems in computer graphics.
Abstract
This paper presents several parallel algorithms for the construction of the Delaunay triangulation in E^2 and E^3-one of the fundamental problems in computer graphics. The proposed algorithms are designed for parallel systems with shared memory and several processors. Such a hardware configuration (especially the case with two-processors) became widely spread in the last few years in the computer graphics area. Some of the proposed algorithms are easy to be implemented but not very efficient, while some of them prove opposite characteristics. Some of them are usable in E^2 only, other work in E^3 as well. The algorithms themselves were already published in computer graphics where the computer graphics criteria were highlighted. This paper concentrates on parallel and systematic point of view and gives detailed information about the parallelization of a computational geometry application to parallel and distributed computation oriented community.

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Citations
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Journal ArticleDOI

Parallel geometric algorithms for multi-core computers

TL;DR: This work introduces as a foundational element the design of a container data structure that both provides concurrent addition and removal operations and is compact in memory, which makes it especially well-suited for storing large dynamic graphs such as Delaunay triangulations.
Proceedings ArticleDOI

Computing two-dimensional Delaunay triangulation using graphics hardware

TL;DR: This paper presents a novel approach to compute, for a given point set S in R2, its Delaunay triangulation T (S), and exploits the GPU to assist in the computation of a triangulations T of S that is a good approximation to T ( S).
Journal ArticleDOI

ParaStream: A parallel streaming Delaunay triangulation algorithm for LiDAR points on multicore architectures

TL;DR: A robust parallel Delaunay triangulation algorithm for processing billions of points from nonoverlapped block LiDAR files called ParaStream, which targets ubiquitous multicore architectures and exploits most of the computing power of multicore platforms through parallel computing.
Journal ArticleDOI

Algorithm 872: Parallel 2D constrained Delaunay mesh generation

TL;DR: An algorithm and a software are presented for the parallel constrained Delaunay mesh generation in two dimensions based on the decomposition of the original mesh generation problem into N smaller subproblems which are meshed in parallel.
Journal ArticleDOI

Parallel Delaunay triangulation in three dimensions

TL;DR: The parallel 3D Delaunay triangulation algorithm has been coded in Intel FORTRAN VS2010 and the scalability of the parallel zonal insertion algorithm has also been tested on a proper multi-core machine with 12 processors running on OpenMP parallel directives with shared memory.
References
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Book

Computational Geometry: Algorithms and Applications

TL;DR: In this article, an introduction to computational geometry focusing on algorithms is presented, which is related to particular applications in robotics, graphics, CAD/CAM, and geographic information systems.
Journal ArticleDOI

A sweepline algorithm for Voronoi diagrams

TL;DR: A geometric transformation is introduced that allows Voronoi diagrams to be computed using a sweepline technique and is used to obtain simple algorithms for computing the Vor onoi diagram of point sites, of line segment sites, and of weighted point sites.
Journal ArticleDOI

Randomized incremental construction of Delaunay and Voronoi diagrams

TL;DR: A new randomized incremental algorithm for the construction of planar Voronoi diagrams and Delaunay triangulations is given that takes expected timeO(nℝgn) and spaceO( n), and is eminently practical to implement.
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