Details

Autor(en) / Beteiligte

• Malakar, P.
• George, T.
• Kumar, S.
• Mittal, R.
• Natarajan, V.
• Sabharwal, Y.
• Saxena, V.
• Vadhiyar, S. S.

Titel

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

Ist Teil von

• 2012 International Conference for High Performance Computing, Networking, Storage and Analysis, 2012, p.1-11

Ort / Verlag

IEEE

Erscheinungsjahr

2012

Link zum Volltext

• IEEE_Xplore

Quelle

IEL

Beschreibungen/Notizen

• 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.