DocumentCode
2796145
Title
Dynamic analysis of large datasets with animated and correlated views: VAST 2012 Mini Challenge # award: Honorable mention for good use of coordinated displays
Author
Cao, Yong ; Moore, Reese ; Mi, Peng ; Endert, Alex ; North, Chris ; Marchany, Randy
Author_Institution
Virginia Tech
fYear
2012
fDate
14-19 Oct. 2012
Firstpage
283
Lastpage
284
Abstract
In this paper, we introduce a GPU-accelerated visual analytics tool, AVIST. By adopting the in-situ visualization architecture on the GPUs, AVIST supports real-time data analysis and visualization of massive scale datasets, such as VAST 2012 Challenge dataset. The design objective of the tool is to identify temporal patterns from large and complex data. To achieve this goal, we introduce three unique features: automatic animation, disjunctive data filters, and time-synced visualization of multiple datasets.
Keywords
H.5.2 [Information Interfaces And Presentation]; User Interfaces—Interaction styles (e.g. commands; direct manipulation); forms; menus;
fLanguage
English
Publisher
ieee
Conference_Titel
Visual Analytics Science and Technology (VAST), 2012 IEEE Conference on
Conference_Location
Seattle, WA
Print_ISBN
978-1-4673-4752-5
Type
conf
DOI
10.1109/VAST.2012.6400515
Filename
6400515
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