文章基本信息

标题：A Divide and Conquer Strategy for Scaling Weather Simulations with Multiple Regions of Interest
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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.