Název: A Data Distribution Strategy for Parallel Point-Based Rendering
Autoři: Hubo, Erik
Bekaert, Philippe
Citace zdrojového dokumentu: WSCG '2005: Full Papers: The 13-th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2005 in co-operation with EUROGRAPHICS: University of West Bohemia, Plzen, Czech Republic, p. 1-8.
Datum vydání: 2005
Nakladatel: UNION Agency
Typ dokumentu: conferenceObject
konferenční příspěvek
URI: http://wscg.zcu.cz/wscg2005/Papers_2005/Full/!WSCG2005_Full_Proceedings_Final.pdf
http://hdl.handle.net/11025/10945
ISBN: 80-903100-7-9
Klíčová slova: klastrový computing;vykreslování
Klíčová slova v dalším jazyce: cluster computing;rendering
Abstrakt: During the last couple of years, point sets have emerged as a new standard for the representation of largely detailed models. This is partly due to the fact that range scanning devices are becoming a fast and economical way to capture dense point clouds. Traditional rendering systems are impractical when a single polygonal primitive contributes less than a pixel during rendering. We present a data distribution strategy for parallel pointbased rendering, using a cluster of PCs as target platform. We describe a data-structure and a system architecture, which allows for decoupling the point-data from the computational work. This strategy enables both a balanced workload as well as no full data replication on each node. We exploit frame-to-frame coherence to make our system scalable. The system renders high-resolution images from high complex data sets at interactive frame rates. To our knowledge parallel point-based rendering has not been investigated in the past. Our results indicate the feasibility of sort-first parallelization applied to point-based rendering.
Práva: © UNION Agency
Vyskytuje se v kolekcích:WSCG '2005: Full Papers

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