Massively Parallel Software Rendering for Visualizing Large-Scale Data Sets

Authors:
Kwan-Liu Ma;Steven Parker
Affiliations:
-;-
Venue:
IEEE Computer Graphics and Applications
Year:
2001

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Abstract

For some time, production visualization was almost exclusively done by using high-end graphics workstations. Generally, rendering of the data on the graphics workstation was preceded by a feature extraction step and a geometric modeling step to significantly reduce the size of the data to berendered. While the graphics workstation allowed interactive visualization of the extracted data, looking only at a lower resolution and polygonalrepresentation of the data defeated the original purpose of performing the high-resolution simulation/scanning. In this article, the authors describe twohighly scalable, parallel software volume-rendering algorithms-one renders unstructured grid volume data and the other renders isosurfaces.