Scalability of Semi-Implicit Time Integrators for Nonhydrostatic Galerkin-based Atmospheric Models on Large Scale Cluster

Abstract

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.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2011
Accession Number
ADA547036

Entities

People

  • Francis Giraldo
  • Gabriele Jost
  • James F. Kelly

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Applied Mathematics
  • Atmospheres
  • Computational Fluid Dynamics
  • Computational Science
  • Data Sets
  • Efficiency
  • Equations
  • Euler Equations
  • Geometry
  • Gravity Waves
  • Integrators
  • Linear Systems
  • Mathematics
  • Scalability
  • Statistics
  • Three Dimensional
  • Waves

Fields of Study

  • Computer science
  • Engineering

Readers

  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Parallel and Distributed Computing.