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Published Articles >> Table of Contents >> Abstract
19th International Conference on Scientific and Statistical Database Management (SSDBM 2007)
p. 8
Component-based Data Layout for Efficient Slicing of Very Large Multidimensional Volumetric Data
1 Kim, University of Maryland, USA
1 JaJa, University of Maryland, USA
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SSDBM.2007.7
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| Abstract |
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In this paper, we introduce a new efficient data layout scheme to efficiently handle out-of-core axis-aligned slicing queries of very large multidimensional volumetric data. Slicing is a very useful dimension reduction tool that removes or reduces occlusion problems in visualizing 3-D/4-D volumetric data sets and that enables fast visual exploration of such data sets. We show that the data layouts based on typical space-filling curves are not optimal for the out-of-core slicing queries and present a novel component-based data layout scheme for a specialized problem domain, in which it is only required to provide fast slicing at every k-th value, for any k \ge 1. Our component-based data layout scheme provides much faster processing time for any axis-aligned slicing direction at every k-th value, k \ge 1, requiring less cache memory size and without any replication of data. In addition, the data layout can be generalized to any high dimension.
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Citation:
1 Kim, 1 JaJa,
"Component-based Data Layout for Efficient Slicing of Very Large Multidimensional Volumetric Data,"
ssdbm,
p. 8,
19th International Conference on Scientific and Statistical Database Management (SSDBM 2007),
2007
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