Seminars & Events

Mathematics and Computer Science Division
"Extending In Situ Analysis through Feature and Event Detectors"

DATE: January 17, 2012 to January 17, 2012
TIME: 10:30 AM - 11:30 AM
SPEAKER: Jon Woodring, CCS-7, LANL
LOCATION: Building 240, Conference Room, 4301, Argonne National Laboratory
HOST: Tom Peterka

Description:
The massive amounts of data that are generated by large-scale simulations and supercomputers have exceeded our technological capacity to store it and our cognitive capacity to understand it. A solution to manage the data deluge is /in situ/ visualization and analysis, which stores smaller processed data by integrating analysis and visualization with simulations. Since most large-scale simulations are batch processes without a human- in-the-loop, /in situ/ analysis can miss discoveries achieved through interactive data exploration. To try to fill this discovery role, we extend /in situ/ analysis by adding feature and event detection algorithms to trigger visualization and analysis data pipelines. Triggering data processing pipelines for large-scale simulations is conceptually similar to high-energy physics analysis codes searching for events in accelerator experiments. We will discuss our previous work in feature and detection algorithms to support event-driven in situ analysis, various use-case scenarios, and our on-going /in situ/ analysis with DOE simulation codes.

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