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.

Data Intensive Uncertainty Quantification: Applications to Climate Modeling

SESSION: Research Poster Reception

EVENT TYPE: ACM Student Research Competition Poster, Poster, Electronic Poster

TIME: 5:15PM - 7:00PM


AUTHOR(S):John R. Tannahill, Don D. Lucas, David M. Domyancic, Scott T. Brandon, Richard I. Klein

ROOM:WSCC North Galleria 2nd/3rd Floors

In October of 2009, LLNL began a three-year Strategic Initiative, “The Advance of Uncertainty Quantification Science with Application to Climate Modeling, Inertial Confinement Fusion Design, and Stockpile Stewardship Science”. The goal of the project is to advance the Uncertainty Quantification (UQ) of multi-physics simulations with large collections of uncertain input parameters. The initial focus is on the UQ of global climate model simulations. This work will allow the uncertainty in climate simulations to be characterized, thereby reducing the uncertainties in the predictions of future climate change. Already, using two of the most widely-used community climate models, the most comprehensive set of U.S. ensemble-based UQ simulations of present-day climate has been produced: over 46,000 simulated years have been run and some 61 TB of data generated. This poster presents the approach and challenges associated with the generation and analysis of such a large ensemble data set, as well as the key role that the LLNL UQ Pipeline software plays.

Chair/Author Details:

Bernd Mohr (Chair) - Juelich Supercomputing Centre

John R. Tannahill - Lawrence Livermore National Laboratory

Don D. Lucas - Lawrence Livermore National Laboratory

David M. Domyancic - Lawrence Livermore National Laboratory

Scott T. Brandon - Lawrence Livermore National Laboratory

Richard I. Klein - Lawrence Livermore National Laboratory

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