Title :
Query-driven visualization of large data sets
Author :
Stockinger, Kurt ; Shalf, John ; Wu, Kesheng ; Bethel, E. Wes
Author_Institution :
Computational Res. Div., Lawrence Berkeley Lab., CA, USA
Abstract :
We present a practical and general-purpose approach to large and complex visual data analysis where visualization processing, rendering and subsequent human interpretation is constrained to the subset of data deemed interesting by the user. In many scientific data analysis applications, "interesting" data can be defined by compound Boolean range queries of the form (temperature>1000) AND (70
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Keywords :
data visualisation; database indexing; query processing; rendering (computer graphics); very large databases; bitmap indexing; combustion simulation data analysis; dextrous data explorer; isosurface algorithms; large data sets; multidimensional data queries; query-driven visualization; scientific data management; visualization pipeline; Acceleration; Data analysis; Data visualization; Humans; Indexing; Isosurfaces; Multidimensional systems; Performance analysis; Technology management; Temperature distribution;
Conference_Titel :
Visualization, 2005. VIS 05. IEEE
Print_ISBN :
0-7803-9462-3
DOI :
10.1109/VISUAL.2005.1532792
