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A Dynamic Load Balancing Technique for Parallel Execution of Structured Grid Models

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Numerical Computations: Theory and Algorithms (NUMTA 2019)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11973))

Abstract

Partitioning computational load over different processing elements is a crucial issue in parallel computing. This is particularly relevant in the case of parallel execution of structured grid computational models, such as Cellular Automata (CA), where the domain space is partitioned in regions assigned to the parallel computing nodes. In this work, we present a dynamic load balancing technique that provides for performance improvements in structured grid model execution on distributed memory architectures. First tests implemented using the MPI technology have shown the goodness of the proposed technique in sensibly reducing execution times with respect to not-balanced parallel versions.

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Notes

  1. 1.

    For the sake of simplicity, in this first implementation of the LB procedure the exchange of columns is not toroidal, i.e. it is not possible to exchange columns between the rightmost node and the leftmost node.

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Acknowledgments

Authors thank BS student Rodolfo Calabrò from University of Calabria for helping in code implementation and testing phases.

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Authors and Affiliations

  1. ICAR-CNR, Rende, Italy

    Andrea Giordano

  2. DIATIC, University of Calabria, Rende, Italy

    Alessio De Rango

  3. DEMACS, University of Calabria, Rende, Italy

    Rocco Rongo, Donato D’Ambrosio & William Spataro

Authors
  1. Andrea Giordano
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  2. Alessio De Rango
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  3. Rocco Rongo
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  4. Donato D’Ambrosio
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  5. William Spataro
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Corresponding author

Correspondence to William Spataro .

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Editors and Affiliations

  1. University of Calabria, Rende, Italy

    Yaroslav D. Sergeyev

  2. University of Calabria, Rende, Italy

    Dmitri E. Kvasov

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Giordano, A., De Rango, A., Rongo, R., D’Ambrosio, D., Spataro, W. (2020). A Dynamic Load Balancing Technique for Parallel Execution of Structured Grid Models. In: Sergeyev, Y., Kvasov, D. (eds) Numerical Computations: Theory and Algorithms. NUMTA 2019. Lecture Notes in Computer Science(), vol 11973. Springer, Cham. https://doi.org/10.1007/978-3-030-39081-5_25

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  • DOI: https://doi.org/10.1007/978-3-030-39081-5_25

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