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  • 标题:A Divide and Conquer Strategy for Scaling Weather Simulations with Multiple Regions of Interest
  • 本地全文:下载
  • 作者:Preeti Malakar, Thomas George, Sameer Kumar, Rashmi Mittal, Vijay Natarajan,, Yogish Sabharwal, Vaibhav Saxena ; Sathish S. Vadhiyar
  • 期刊名称:Scientific Programming
  • 印刷版ISSN:1058-9244
  • 出版年度:2013
  • 卷号:21
  • DOI:10.3233/SPR-130367
  • 出版社:Hindawi Publishing Corporation
  • 摘要:Accurate and timely prediction of weather phenomena, such as hurricanes and flash floods, require high-fidelity compute intensive simulations of multiple finer regions of interest within a coarse simulation domain. Current weather applications execute these nested simulations sequentially using all the available processors, which is sub-optimal due to their sub-linear scalability. In this work, we present a strategy for parallel execution of multiple nested domain simulations based on partitioning the 2-D processor grid into disjoint rectangular regions associated with each domain. We propose a novel combination of performance prediction, processor allocation methods and topology-aware mapping of the regions on torus interconnects. Experiments on IBM Blue Gene systems using WRF show that the proposed strategies result in performance improvement of up to 33% with topology-oblivious mapping and up to additional 7% with topology-aware mapping over the default sequential strategy.
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