sponsored byACMIEEE The International Conference for High Performance 
Computing, Networking, Storage and Analysis
FacebookTwitterGoogle PlusLinkedInYouTubeFlickr

SCHEDULE: NOV 15-20, 2015

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.

Getting Started with In Situ Analysis and Visualization Using ParaView Catalyst

SESSION: Getting Started with In Situ Analysis and Visualization Using ParaView Catalyst

EVENT TYPE: Tutorials

EVENT TAG(S): Applications, Visualization

TIME: 8:30AM - 12:00PM

Presenter(s):Andrew C. Bauer, David H. Rogers, Jeffrey A. Mauldin



As supercomputing moves towards exascale, scientists, engineers and medical researchers will look for efficient and cost effective ways to enable data analysis and visualization for the products of their computational efforts. The ‘exa’ metric prefix stands for quintillion, and the proposed exascale computers would approximately perform as many operations per second as 50 million laptops. Clearly, typical spatial and temporal data reduction techniques employed for post-processing will not yield desirable results where reductions of 10e3 to 10e6 may still produce petabytes to terabytes of data to transfer or store. Since transferring or storing data may no longer be viable for many simulation applications, data analysis and visualization must now be performed in situ. This tutorial presents the fundamentals of in situ data analysis and visualization focusing on production use. Attendees will learn the basics of in situ analysis and visualization and be exposed to advanced functionality such as interactive steering and exploratory analysis. We demonstrate the technology using ParaView Catalyst. ParaView Catalyst is a parallel, open-source data analysis and visualization library designed to work with extremely large datasets. It aims to reduce IO by tightly coupling simulation, data analysis and visualization codes.

Chair/Presenter Details:

Andrew C. Bauer - Kitware, Inc.

David H. Rogers - Los Alamos National Laboratory

Jeffrey A. Mauldin - Sandia National Laboratories

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