DocumentCode
2412511
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
fYear
2005
fDate
23-28 Oct. 2005
Firstpage
167
Lastpage
174
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\n\n\t\t
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Visualization, 2005. VIS 05. IEEE
Print_ISBN
0-7803-9462-3
Type
conf
DOI
10.1109/VISUAL.2005.1532792
Filename
1532792
Link To Document