SCHEDULE: NOV 12-18, 2011

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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.

Chair/Author Details:

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

George V. Franks - University of Melbourne

Thomas Fiedler - University of Newcastle

Graeme E. Murch - University of Newcastle

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