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Performance Modeling of Parallel FEM Computations on Clusters

  • Conference paper
Parallel Processing and Applied Mathematics (PPAM 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3019))

Abstract

ParallelNuscaS is an object-oriented package for the parallel finite element modeling, developed at Czestochowa University of Technology. This paper is devoted to modeling the performance of the package on PC-clusters. Such modeling allows for analyzing and predicting the performance of this complex scientific application on different computing platforms. Because both uniprocessor and SMP nodes are considered, we investigate not only the message-passing model of parallel programming, but also the hybrid model, which is a mixture of multithreading inside SMP nodes and message passing between them.

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Author information

Authors and Affiliations

  1. Institute of Computer & Information Sciences, Czestochowa University of Technology, Dabrowskiego 73, 42-200, Czestochowa, Poland

    Tomasz Olas, Roman Wyrzykowski, Adam Tomas & Konrad Karczewski

Authors
  1. Tomasz Olas
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  2. Roman Wyrzykowski
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  3. Adam Tomas
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  4. Konrad Karczewski
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Editor information

Editors and Affiliations

  1. Institute of Computational and Information Sciences, Czestochowa University of Technology,  

    Roman Wyrzykowski

  2. Computer Science Department, University of Tennessee, TN 37996-3450, Knoxville, USA

    Jack Dongarra

  3. Systems Research Institute, Polish Academy of Science, Warsaw, Poland

    Marcin Paprzycki

  4. Informatics & Mathematical Modeling, Technical University of Denmark, DK-2800, Lyngby, Denmark

    Jerzy Waśniewski

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Olas, T., Wyrzykowski, R., Tomas, A., Karczewski, K. (2004). Performance Modeling of Parallel FEM Computations on Clusters. In: Wyrzykowski, R., Dongarra, J., Paprzycki, M., Waśniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2003. Lecture Notes in Computer Science, vol 3019. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24669-5_25

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  • DOI: https://doi.org/10.1007/978-3-540-24669-5_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-21946-0

  • Online ISBN: 978-3-540-24669-5

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