Dynamic Analysis of Large Datasets with Animated and Correlated Views

We introduce a GPU-accelerated visual analytics tool. 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. This tool has received the VAST 2012 Mini Challenge Award: "Honorable Mention for Good Use of Coordinated Displays".

Members: 
Name Department College
Yong Cao Computer Science College of Engineering
Collaborative Colleges: 
Engineering