TY - CONF T1 - Component-based Data Layout for Efficient Slicing of Very Large Multidimensional Volumetric Data T2 - Scientific and Statistical Database Management, 2007. SSBDM '07. 19th International Conference on Y1 - 2007 A1 - Kim,Jusub A1 - JaJa, Joseph F. KW - axis-aligned KW - cache KW - curves;very KW - data KW - data;data KW - databases; KW - handling;query KW - large KW - layout;data KW - memory KW - multidimensional KW - processing;very KW - queries;space-filling KW - size;component-based KW - slicing KW - slicing;out-of-core KW - volumetric AB - 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 gt; 1. Our component-based data layout scheme provides much faster processing time for any axis-aligned slicing direction at every k-th value, k gt; 1, requiring less cache memory size and without any replication of data. In addition, the data layout can be generalized to any high dimension. JA - Scientific and Statistical Database Management, 2007. SSBDM '07. 19th International Conference on M3 - 10.1109/SSDBM.2007.7 ER -