SCHEDULE: NOV 16-22, 2013
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.
Petascale WRF Simulation of Hurricane Sandy: Deployment of NCSAs Cray XE6 Blue Waters
SESSION: Extreme-Scale Applications
EVENT TYPE: Papers
TIME: 2:30PM - 3:00PM
SESSION CHAIR: Michael A. Heroux
AUTHOR(S):Peter Johnsen, Mark Straka, Melvyn Shapiro, Alan Norton, Thomas Galarneau
The National Center for Atmospheric Research (NCAR) Weather Research and Forecasting (WRF) model has been employed on the largest yet storm prediction model using real data of over 4 billion points to simulate the landfall of Hurricane Sandy. Using an unprecedented 13,680 nodes (437,760 cores) of the Cray XE6 Blue Waters at NCSA at the University of Illinois, researchers achieved a sustained rate of 285 Tflops while simulating an 18-hour forecast. A grid of size 9120x9216x48 (1.4Tbytes of input) was used, with horizontal resolution of 500 meters and a 2-second time step. 86 Gbytes of forecast data was written every 6 forecast hours at a rate of up to 2 Gbytes/second and collaboratively post-processed and displayed using the Vapor suite at NCAR. Opportunities to enhance scalability in the source code, run-time, and operating system realms were exploited. The output of this numerical model is now under study for model validation.
Michael A. Heroux (Chair) - Sandia National Laboratories
Peter Johnsen - Cray Inc.
Mark Straka - University of Illinois at Urbana-Champaign
Melvyn Shapiro - National Center for Atmospheric Research
Alan Norton - National Center for Atmospheric Research
Thomas Galarneau - National Center for Atmospheric Research
The full paper can be found in the ACM Digital Library