Bongki Moon, Gopal Patnaik, Robert Bennett, David Fyfe, Alan Sussman, Craig Douglas,
Joel Saltz, and K. Kailasanath
Proceedings of the Seventh SIAM Conference on Parallel
Processing for Scientific Computing, Pages: 575-580
One class of scientific and engineering applications involves structured meshes. One
example of a code in this class is a flame modelling code developed at the Naval Research
Laboratory (NRL). The numerical model used in the NRL flame code is predominantly based on
structured finite volume methods. The chemistry process of the reactive flow is modeled by
a system of ordinary differential equations which is solved independently at each grid
point. Thus, though the model uses a mesh structure, the workload at each grid point can
vary considerably. It is this feature that requires the use of both structured and
unstructured methods in the same code. We have applied the Multiblock PARTI and CHAOS
runtime support libraries to parallelize the NRL flame code with minimal changes to the
sequential code. We have also developed parallel algorithms to carry out dynamic load
balancing. It has been observed that the overall performance scales reasonably up to 256
Paragon processors and that the total runtime on a 256-node Paragon is about half that of
a single processor Cray C90.
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