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A divide and conquer strategy for scaling weather simulations with multiple regions of interest

Malakar, Peeti and George, Thomas and Kumar, Sameer and Mittal, Rashmi and Natarajan, Vijay and Sabharwal, Yogish and Saxena, Vaibhav and Vadhiyar, Sathish S (2012) A divide and conquer strategy for scaling weather simulations with multiple regions of interest. In: SC '12 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis, Monday, October 14, 2013, Los Alamitos, CA, USA.

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Official URL: http://dx.doi.org/10.3233/SPR-130367


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.

Item Type: Conference Paper
Additional Information: Copyright of this article belongs to IOS Press.
Keywords: Weather Simulation; Performance Modeling; Processor Allocation; Topology-Aware Mapping
Department/Centre: Division of Electrical Sciences > Computer Science & Automation
Depositing User: Francis Jayakanth
Date Deposited: 06 Nov 2013 06:39
Last Modified: 06 Nov 2013 06:39
URI: http://eprints.iisc.ac.in/id/eprint/47718

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