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Large mesh simplification for distributed environments

Articolo
Data di Pubblicazione:
2015
Abstract:
An algorithm is described to simplify arbitrarily large triangle meshes while leveraging the computing power of modern distributed environments. Our method combines the flexibility of out-of-core (OOC) techniques with the quality of accurate in-core algorithms, while representing a particularly fast approach thanks to the concurrent use of several computers in a network. When compared with existing parallel algorithms, the simplifications produced by our method exhibit a significantly higher accuracy. Furthermore, when our algorithm is run on a single machine, its speed is comparable with state-of-the-art OOC techniques, whereas the use of more machines enables relevant speedups. Noticeably, we observe that the speedup increases as the size of the input mesh grows.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Big data; Indexed mesh; Out-of-core; Parallel algorithm
Elenco autori:
Cabiddu, Daniela; Attene, Marco
Autori di Ateneo:
ATTENE MARCO
CABIDDU DANIELA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/292074
Pubblicato in:
COMPUTERS & GRAPHICS
Journal
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