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

SCHEDULE: NOV 12-18, 2011

When viewing the Technical Program schedule, on the far righthand side is a column labeled "PLANNER." Use this planner to build your own schedule. Once you select an event and want to add it to your personal schedule, just click on the calendar icon of your choice (outlook calendar, ical calendar or google calendar) and that event will be stored there. As you select events in this manner, you will have your own schedule to guide you through the week.

You can also create your personal schedule on the SC11 app (Boopsie) on your smartphone. Simply select a session you want to attend and "add" it to your plan. Continue in this manner until you have created your own personal schedule. All your events will appear under "My Event Planner" on your smartphone.

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


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.

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

   Sponsors    ACM    IEEE