Ternary Sparse Matrix Representation for Volumetric Mesh Subdivision and Processing on GPUs

In this paper, we present a novel volumetric mesh representation suited for parallel computing on modern GPU architectures. The data structure is based on a compact, ternary sparse matrix storage of boundary operators. Boundary operators correspond to the first‐order top‐down relations of k‐faces to...

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Vydané v:	Computer graphics forum Ročník 36; číslo 5; s. 59 - 69
Hlavní autori:	Mueller‐Roemer, J. S., Altenhofen, C., Stork, A.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Oxford Blackwell Publishing Ltd 01.08.2017
Predmet:	Algorithms Categories and Subject Descriptors (according to ACM CCS) D.1.3 [Programming Techniques]: Concurrent Programming—Parallel Programming I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling—Curve, surface, solid, and object representations Matrix representation Operators Parallel processing Smoothing Sparsity
ISSN:	0167-7055, 1467-8659
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