NDLI: Component-based Data Layout for Efficient Slicing of Very Large Multidimensional Volumetric Data

Content Provider	IEEE Xplore Digital Library
Author	Jusub Kim JaJa, J.
Copyright Year	2007
Description	Author affiliation: Maryland Univ., College Park (Jusub Kim; JaJa, J.)
Abstract	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 3D/4D 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 > 1. Our component-based data layout scheme provides much faster processing time for any axis-aligned slicing direction at every k-th value, k > 1, requiring less cache memory size and without any replication of data. In addition, the data layout can be generalized to any high dimension.
Starting Page	8
Ending Page	8
File Size	1360138
Page Count	1
File Format	PDF
ISBN	0769528686
ISSN	15516393
DOI	10.1109/SSDBM.2007.7
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-07-09
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Multidimensional systems Educational institutions Data visualization Computed tomography Magnetic resonance imaging Cache memory Biomedical imaging Power generation Image resolution Power engineering computing
Content Type	Text
Resource Type	Article

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