Volume reconstruction and parallel rendering algorithms: a comparative analysis
Volume reconstruction and parallel rendering algorithms: a comparative analysis
A pyramid-based approach to interactive terrain visualization
PRS '93 Proceedings of the 1993 symposium on Parallel rendering
A Sorting Classification of Parallel Rendering
IEEE Computer Graphics and Applications
Compositing 3-D rendered images
SIGGRAPH '85 Proceedings of the 12th annual conference on Computer graphics and interactive techniques
Parallel Volume Rendering Using Binary-Swap Compositing
IEEE Computer Graphics and Applications
Spatial Transformations for Rapid Scan-Line Surface Shadowing
IEEE Computer Graphics and Applications
SIGGRAPH '83 Proceedings of the 10th annual conference on Computer graphics and interactive techniques
Proceedings of the 11th IFIP WG 6.1 international conference on Distributed applications and interoperable systems
Scalable parallel out-of-core terrain rendering
EG PGV'10 Proceedings of the 10th Eurographics conference on Parallel Graphics and Visualization
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JPL's Remote Interactive Visualization and Analysis System (RIVA) is described in detail. The RIVA system integrates workstation graphics, massively parallel computing technology, and gigabit communication networks to provide a flexible interactive environment for scientific data perusal, analysis, and visualization. RIVA's kernel is a highly scalable parallel perspective renderer tailored especially for the demands of large datasets beyond the sensible reach of workstations. Early experience with using RIVA to interactively explore and process multivariate, multiresolution datasets is reported; several examples using data from a variety of remote sensing instruments are discussed in detail and the results shown. Particular attention is placed on describing the algorithmic details of RIVA's parallel renderer kernel, with emphasis on the key aspects of achieving the algorithm's overall scalability. The paper summarizes the performance achieved for machine sizes up to more than 500 nodes and for initial input image/terrain bases in the 2 Gbyte range.