Dynamic analysis of large datasets with animated and correlated views: VAST 2012 Mini Challenge # award: Honorable mention for good use of coordinated displays

作者: Yong Cao , Reese Moore , Peng Mi , Alex Endert , Chris North

DOI: 10.1109/VAST.2012.6400515

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摘要: In this paper, we introduce a GPU-accelerated visual analytics tool, AVIST. By adopting the in-situ visualization architecture on GPUs, AVIST supports real-time data analysis and of massive scale datasets, such as VAST 2012 Challenge dataset. The design objective tool is to identify temporal patterns from large complex data. To achieve goal, three unique features: automatic animation, disjunctive filters, time-synced multiple datasets.

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