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Proceedings Paper

Configurable data prefetching scheme for interactive visualization of large-scale volume data
Author(s): Byungil Jeong; Paul A. Navrátil; Kelly P. Gaither; Gregory Abram; Gregory P. Johnson
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Paper Abstract

This paper presents a novel data prefetching and memory management scheme to support interactive visualization of large-scale volume datasets using GPU-based isosurface extraction. Our dynamic in-core approach uses a span-space lattice data structure to predict and prefetch the portions of a dataset that are required by isosurface queries, to manage an application-level volume data cache, and to ensure load-balancing for parallel execution. We also present a GPU memory management scheme that enhances isosurface extraction and rendering performance. With these techniques, we achieve rendering performance superior to other in-core algorithms while using dramatically fewer resources.

Paper Details

Date Published: 24 January 2012
PDF: 14 pages
Proc. SPIE 8294, Visualization and Data Analysis 2012, 82940K (24 January 2012); doi: 10.1117/12.910926
Show Author Affiliations
Byungil Jeong, The Univ. of Texas at Austin (United States)
Paul A. Navrátil, The Univ. of Texas at Austin (United States)
Kelly P. Gaither, The Univ. of Texas at Austin (United States)
Gregory Abram, The Univ. of Texas at Austin (United States)
Gregory P. Johnson, The Univ. of Texas at Austin (United States)


Published in SPIE Proceedings Vol. 8294:
Visualization and Data Analysis 2012
Pak Chung Wong; David L. Kao; Ming C. Hao; Chaomei Chen; Robert Kosara; Mark A. Livingston; Jinah Park; Ian Roberts, Editor(s)

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