SC12 Home > SC12 Schedule > SC12 Presentation - In-Situ Visualization with Catalyst

SCHEDULE: NOV 10-16, 2012

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In-Situ Visualization with Catalyst

SESSION: In-Situ Visualization with Catalyst

EVENT TYPE: Tutorials

TIME: 1:30PM - 5:00PM

Presenter(s):Nathan D. Fabian, Andrew C. Bauer, Norbert Podhorszki, Ron A. Oldfield, Utkarsh Ayachit

ROOM:251-F

ABSTRACT:
In-situ visualization is a term for running a solver in tandem with visualization. Catalyst is the new name for ParaViews coprocessing library. ParaView is a powerful open-source turnkey application for analyzing and visualizing large data sets in parallel. By coupling these together, we can utilize HPC platforms for analysis while circumventing bottlenecks associated with storing and retrieving data in disk storage. We demonstrate two methods for in-situ visualization using Catalyst. The first is linking Catalyst directly with simulation codes. It simplifies integration with the codes by providing a programmatic interface to algorithms in ParaView. Attendees will learn how to build pipelines for Catalyst, how the API is structured, how to bind it to C, C++, Fortran, and Python and how to build Catalyst for HPC architectures. The second method uses a variety of techniques, known as data staging or in-transit visualization, that involve passing the data through the network to a second running job. Data analysis applications, written using Catalyst, can operate on this networked data from within this second job minimizing interference with the simulation but also avoiding disk I/O. Attendees will learn three methods of handling this procedure as well as the APIs for ADIOS and NESSIE.

Chair/Presenter Details:

Nathan D. Fabian - Sandia National Laboratories

Andrew C. Bauer - Kitware, Inc.

Norbert Podhorszki - Oak Ridge National Laboratory

Ron A. Oldfield - Sandia National Laboratories

Utkarsh Ayachit - Kitware, Inc.

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In-Situ Visualization with Catalyst

SESSION: In-Situ Visualization with Catalyst

EVENT TYPE:

TIME: 1:30PM - 5:00PM

Presenter(s):Nathan D. Fabian, Andrew C. Bauer, Norbert Podhorszki, Ron A. Oldfield, Utkarsh Ayachit

ROOM:251-F

ABSTRACT:
In-situ visualization is a term for running a solver in tandem with visualization. Catalyst is the new name for ParaViews coprocessing library. ParaView is a powerful open-source turnkey application for analyzing and visualizing large data sets in parallel. By coupling these together, we can utilize HPC platforms for analysis while circumventing bottlenecks associated with storing and retrieving data in disk storage. We demonstrate two methods for in-situ visualization using Catalyst. The first is linking Catalyst directly with simulation codes. It simplifies integration with the codes by providing a programmatic interface to algorithms in ParaView. Attendees will learn how to build pipelines for Catalyst, how the API is structured, how to bind it to C, C++, Fortran, and Python and how to build Catalyst for HPC architectures. The second method uses a variety of techniques, known as data staging or in-transit visualization, that involve passing the data through the network to a second running job. Data analysis applications, written using Catalyst, can operate on this networked data from within this second job minimizing interference with the simulation but also avoiding disk I/O. Attendees will learn three methods of handling this procedure as well as the APIs for ADIOS and NESSIE.

Chair/Presenter Details:

Nathan D. Fabian - Sandia National Laboratories

Andrew C. Bauer - Kitware, Inc.

Norbert Podhorszki - Oak Ridge National Laboratory

Ron A. Oldfield - Sandia National Laboratories

Utkarsh Ayachit - Kitware, Inc.

Add to iCal  Click here to download .ics calendar file

Add to Outlook  Click here to download .vcs calendar file

Add to Google Calendarss  Click here to add event to your Google Calendar