SC is the International Conference for
High Performance Computing, Networking,
Storage and Analysis



SCHEDULE: NOV 12-18, 2011

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S14: In-Situ Visualization with ParaView

SESSION: S14: In-Situ Visualization with ParaView

EVENT TYPE: Tutorial

TIME: 1:30PM - 5:00PM

Presenter(s):Andrew C. Bauer, Nathan Fabian, Norbert Podhorszki, Pat Marion

ROOM:

ABSTRACT:
In-situ visualization is a term for running a solver in tandem with visualization. By coupling these together we can utilize the high performance computing for post-processing while circumventing the bottlenecks associated with storing and retrieving data in disk storage. ParaView is a powerful open-source turnkey application for analyzing and visualizing large data sets in parallel. We demonstrate two methods for integrating ParaView for in-situ visualization. The first method is through ParaView’s coprocessing library. It simplifies the integration with simulation codes by providing a programmatic interface to ParaView. Attendees will learn the structure of the coprocessing API and how to bind it to C, C++, Fortran, and Python. The second method uses the ADIOS I/O framework. By using the ADIOS API for I/O, simulation data can be written to disk or to a stage area hosted by another parallel application. Data analysis applications can fetch data directly from stage avoiding disk I/O. Attendees will learn the ADIOS API and how to use a staging method, which is integrated with ParaView. They will also get directions for writing ParaView plugins to read in their particular output. Attendees will also receive instructions on customizing the ParaView build on Leadership Computing Facilities architectures.

Chair/Presenter Details:

Andrew C. Bauer - Kitware, Inc.

Nathan Fabian - Sandia National Laboratories

Norbert Podhorszki - Oak Ridge National Laboratory

Pat Marion - Kitware, Inc.

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