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A digital geometric approach for discrete Voronoi diagram construction using GPU.

Authors :
Dhar, Soumi
Pal, Shyamosree
Bhattacharjee, Gaurav
Pandey, Abhishek
Source :
Concurrency & Computation: Practice & Experience; May2024, Vol. 36 Issue 11, p1-15, 15p
Publication Year :
2024

Abstract

Summary: Voronoi diagram is a versatile geometric structure used in solving many computational geometry problems in the field of image analysis, computer vision, engineering, medicine, molecular biology and various other disciplines. As a result it is a popular research domain. The literature boasts of many elegant and efficient methods for the construction of the Voronoi diagram in the real space. But these algorithms often fail to perform well when applied to the discrete domain. We present in this paper a novel algorithm for the construction of discrete Voronoi diagram using digital geometric concepts that takes care of the geometric perspective of the Voronoi diagram in the discrete domain. Although our technique is more suited for the CPU but by careful use of some cut‐off heuristics we are able to design a parallel programming approach for the construction of the Voronoi diagram making use of the GPU computational power. The speedup of our algorithm is compatible with the popular GPU technique for Voronoi diagram construction, namely, Jump flood algorithm. But since our algorithm uses the geometric perspective for the construction of Voronoi diagram it gives more accurate output and hence requires no correction step as is the case for the Jump flood algorithm. Furthermore, our approach focuses on extensibility, allowing for easy amenability for construction of higher dimensional Voronoi diagram. This ensures that the Voronoi diagram generation process can be adapted and expanded upon to meet specific requirements or incorporate future enhancements. We present an implementation of the proposed algorithm on a GPU using TAICHI language and describe its performance benefits on multiple input sites. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15320626
Volume :
36
Issue :
11
Database :
Complementary Index
Journal :
Concurrency & Computation: Practice & Experience
Publication Type :
Academic Journal
Accession number :
176813175
Full Text :
https://doi.org/10.1002/cpe.8018