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Proceedings Paper

A modular extensible visualization system architecture for culled prioritized data streaming
Author(s): James P. Ahrens; Nehal Desai; Patrick S. McCormick; Ken Martin; Jonathan Woodring
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Paper Abstract

Massive dataset sizes can make visualization difficult or impossible. One solution to this problem is to divide a dataset into smaller pieces and then stream these pieces through memory, running algorithms on each piece. This paper presents a modular data-flow visualization system architecture for culling and prioritized data streaming. This streaming architecture improves program performance both by discarding pieces of the input dataset that are not required to complete the visualization, and by prioritizing the ones that are. The system supports a wide variety of culling and prioritization techniques, including those based on data value, spatial constraints, and occlusion tests. Prioritization ensures that pieces are processed and displayed progressively based on an estimate of their contribution to the resulting image. Using prioritized ordering, the architecture presents a progressively rendered result in a significantly shorter time than a standard visualization architecture. The design is modular, such that each module in a user-defined data-flow visualization program can cull pieces as well as contribute to the final processing order of pieces. In addition, the design is extensible, providing an interface for the addition of user-defined culling and prioritization techniques to new or existing visualization modules.

Paper Details

Date Published: 29 January 2007
PDF: 12 pages
Proc. SPIE 6495, Visualization and Data Analysis 2007, 64950I (29 January 2007); doi: 10.1117/12.706325
Show Author Affiliations
James P. Ahrens, Los Alamos National Lab. (United States)
Nehal Desai, Los Alamos National Lab. (United States)
Patrick S. McCormick, Los Alamos National Lab. (United States)
Ken Martin, Kitware Inc. (United States)
Jonathan Woodring, The Ohio State Univ. (United States)


Published in SPIE Proceedings Vol. 6495:
Visualization and Data Analysis 2007
Robert F. Erbacher; Jonathan C. Roberts; Matti T. Gröhn; Katy Börner, Editor(s)

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