Scalability of Semi-Implicit Time Integrators for Nonhydrostatic Galerkin-based Atmospheric Models on Large Scale Cluster
Kelly, James F.
Giraldo, Francis X.
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In this paper we describe the current status of our ongoing effort to optimize the efficiency of a novel application package for Nonhydrostatic Unified Model of the Atmosphere (NUMA) when running on large cluster architectures. The linear solver within a distributed memory paradigm is critical for overall model efficiency. The goal of this work-in-progress is to investigate the scalability of the model for different solvers and determine a set of optimal solvers to be used for different situations. We will describe our novel approach and demonstrate its scalability on a variety of clusters of multicore node clusters. We also present performance statistics to explain the scalability behavior.
Non-hydrostatic Unified Model of the Atmosphere (NUMA)Cluster Computing 20112011 IEEE International Conference on Cluster Computing (CLUSTER), 26-30 Sep, Austin, TX.
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