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dc.contributor.authorSkyttä, J.en_US
dc.contributor.authorTakala, T.en_US
dc.contributor.editorW. Strasseren_US
dc.date.accessioned2014-02-06T13:58:14Z
dc.date.available2014-02-06T13:58:14Z
dc.date.issued1986en_US
dc.identifier.isbn3-540-18222-5en_US
dc.identifier.issn1727-3471en_US
dc.identifier.urihttp://dx.doi.org/10.2312/EGGH/EGGH86/083-093en_US
dc.description.abstractParallelism of geometric computation can be achieved by distributing the computation efforts according to essentially three different strategies, based on functional, spatial and structural division, respectively (Mantyla 1983). The conventional and already commercialized way to introduce parallel computation for viewing 3-D geometric models is employing functional parallelism as a pipeline for performing different sequential transformation phases of the 3-D viewing operation (Clark 1981). This approach limits the number of parallel activities to the number of separable functional computational modules. A second approach for parallelism is the division of the modeling space into separable volume elements, which can be processed independently using a suitable data structure like an octree(Kronlof 1985). The logical component structure of a model gives a third distribution strategy. Then each processor answers only to the computational needs of its assigned objects.en_US
dc.publisherThe Eurographics Associationen_US
dc.titleUtilization of VLSI for Creating an Active Data Base of 3-D Geometric Modelsen_US
dc.description.seriesinformationEurographics workshop on Graphics Hardwareen_US


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