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.
A Massively Parallel Lattice Monte Carlo Algorithm in CUDA for Thermal Conduction Simulations
SESSION: Research Poster Reception
EVENT TYPE: ACM Student Research Competition Poster, Poster, Electronic Poster
TIME: 5:15PM - 7:00PM
SESSION CHAIR: Bernd Mohr
AUTHOR(S):Michael P. Wang, Paul J. Mignone, Daniel P. Riley, George V. Franks, Thomas Fiedler, Graeme E. Murch
ROOM:WSCC North Galleria 2nd/3rd Floors
ABSTRACT: This work seeks to enhance and modernize the field of ultra-high temperature composites development by providing industry and research a novel, rapid simulation technique that harnesses the massively parallel computing power of modern GPUs.
The development of cutting-edge materials systems for ultra-high temperature applications such as hypersonics and power generation requires the evaluation of an immensely large parameter space. At the microstructural level, this involves a complex interplay between chemical (e.g. elemental or alloy content) and physical (e.g. pore morphology and distribution) properties . Modelling represents one of the most cost-effective tools for rapidly optimizing of the processing and fabrication parameters required to achieve the desired results.
A highly parallel micro-level thermal transport code has been developed in CUDA, which, to date, has achieved more than 100x increase in simulation speed. Co-simulation with the commercial FEA package Abaqus is envisaged, which will provide a coupled, macro-level structural analysis capability.
Bernd Mohr (Chair) - Juelich Supercomputing Centre
Michael P. Wang - University of Melbourne
Paul J. Mignone - University of Melbourne
Daniel P. Riley - Australian Nuclear Science and Technology Organisation