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Parallel Implementation and Scalability of Cloud Resolving EULAG Model

  • Conference paper
Parallel Processing and Applied Mathematics (PPAM 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7204))

Abstract

Progress in the development of the PetaScale implementation of the anelastic EULAG model combined with the warm-rain bulk and bin microphysics schemes, as well its application to multiscale cloud modeling, are presented. A new three-dimensional (3D) model domain decomposition is implemented to increase model performance and scalability. We investigate performance of the code on IBM BlueGene/L and Cray XT4/XE6 architectures. The scalability results show significant improvement of the new domain decomposition over the previous 2D decomposition used as the standard in many geophysical fluid flow models.

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Author information

Authors and Affiliations

  1. National Center for Atmospheric Research, Boulder, Co, USA

    Andrzej A. Wyszogrodzki, Zbigniew P. Piotrowski & Wojciech W. Grabowski

Authors
  1. Andrzej A. Wyszogrodzki
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  2. Zbigniew P. Piotrowski
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  3. Wojciech W. Grabowski
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Editor information

Editors and Affiliations

  1. Institute of Computer and Information Science, Czestochowa University of Technology, Dabrowskiego 69, 42-201, Czestochowa, Poland

    Roman Wyrzykowski  & Konrad Karczewski  & 

  2. Electrical Engineering and Computer Science Department, University of Tennessee, 1122 Volunteer Blvd, 37996-3450, Knoxville, TN, USA

    Jack Dongarra

  3. Department of Informatics and Mathematical Modeling, Technical University of Denmark, Richard Petersens Plads, Building 321, 2800, Kongens Lyngby, Denmark

    Jerzy Waśniewski

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© 2012 Springer-Verlag Berlin Heidelberg

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Wyszogrodzki, A.A., Piotrowski, Z.P., Grabowski, W.W. (2012). Parallel Implementation and Scalability of Cloud Resolving EULAG Model. In: Wyrzykowski, R., Dongarra, J., Karczewski, K., Waśniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2011. Lecture Notes in Computer Science, vol 7204. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31500-8_26

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  • DOI: https://doi.org/10.1007/978-3-642-31500-8_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31499-5

  • Online ISBN: 978-3-642-31500-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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