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Why Online Dynamic Mesh Refinement is Better for Parallel Climatological Models?
Citation key schepke2011a
Author Claudio Schepke, Nicolas Maillard, Jörg Schneider and Hans-Ulrich Heiss
Title of Book 23rd International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD)
Pages 168 - 175
Year 2011
ISBN 978-1-4577-2050-5
DOI 10.1109/SBAC-PAD.2011.14
Location Vitoria, BR
Month 10
Publisher IEEE Computer Society
Abstract Forecast precisions of climatological models are limited by computing power and time available for the executions. As more and faster processors are used in the computation, the resolution of the mesh adopted to represent the Earth's atmosphere can be increased, and consequently the numerical forecast is more accurate and shows local phenomena. However, a finer mesh resolution, able to include local phenomena in a global atmosphere integration, is still not possible. To overcome this situation, different mesh refinement levels can be used at the same time for different areas. In this context, this paper evaluates how mesh refinement at run time can improve performance for climatological models. In order to contribute with this analysis, an online dynamic mesh refinement was developed. It increases mesh resolution in parts of a parallel distributed model, when special atmosphere conditions are registered during the execution. The results show that the parallel execution of this improvement provides better resolution for the meshes, without a significant increase of execution time.
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