Scalable Parallel Distance Field Construction for Large-Scale Applications

Computing distance fields is fundamental to many scientific and engineering applications. Distance fields can be used to direct analysis and reduce data. In this paper, we present a highly scalable method for computing 3D distance fields on massively parallel distributed-memory machines. Anew distri...

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Veröffentlicht in:	IEEE transactions on visualization and computer graphics Jg. 21; H. 10; S. 1187 - 1200
Hauptverfasser:	Hongfeng Yu, Jinrong Xie, Kwan-Liu Ma, Kolla, Hemanth, Chen, Jacqueline H.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.10.2015 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Computational modeling Data models distance field geometric modeling in-situ processing large-scale scientific data analytics and visualization MATHEMATICS AND COMPUTING Octrees parallel algorithms Program processors scalability scientific simulations spatial data structures Surface treatment Three-dimensional displays parallel algorithms geometric modeling scientific simulations spatial data structures large-scale scientific data analytics and visualization Distance field in-situ processing scalability
ISSN:	1077-2626, 1941-0506
Online-Zugang:	Volltext
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