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Energy Analysis of a 4D Variational Data Assimilation Algorithm and Evaluation on ARM-Based HPC Systems

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Parallel Processing and Applied Mathematics (PPAM 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10778))

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Abstract

Driven by the emerging requirements of High Performance Computing (HPC) architectures, the main focus of this work is the interplay of computational and energetic aspects of a Four Dimensional Variational (4DVAR) Data Assimilation algorithm, based on Domain Decomposition (named DD-4DVAR). We report first results on the energy consumption of the DD-4DVAR algorithm on embedded processor and a mathematical analysis of the energy behavior of the algorithm by assuming the architectures characteristics as variable of the model. The main objective is to capture the essential operations of the algorithm exhibiting a direct relationship with the measured energy. The experimental evaluation is carried out on a set of mini-clusters made available by the Barcelona Supercomputing Center.

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Notes

  1. 1.

    Due the time complexity of the computation, for each Megabyte, the values on \(n_C\) which is independent from the computing architecture, is such that: \(n_{C,1}= \left\lceil \left( \frac{1048576}{8*3}\right) ^{\frac{1}{6}} \right\rceil = 6\), where \(\lceil \cdot \rceil \) denotes the integer part.

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Acknowledgment

The research has received funding from European Commission under H2020-MSCA-RISE NASDAC project (grant agreement no. 691184) FP7 Mont-Blanc and Mont-Blanc 2 (grant agreements no. 288777 and 610402), H2020-FET Mont-Blanc 3 (grant agreement 671697).

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Authors and Affiliations

  1. University of Naples Federico II, Naples, Italy

    Rossella Arcucci, Davide Basciano, Alessandro Cilardo & Luisa D’Amore

  2. Barcelona Supercomputing Center (BSC), Barcelona, Spain

    Filippo Mantovani

Authors
  1. Rossella Arcucci
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  2. Davide Basciano
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  3. Alessandro Cilardo
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  4. Luisa D’Amore
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  5. Filippo Mantovani
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Corresponding author

Correspondence to Rossella Arcucci .

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Editors and Affiliations

  1. Czestochowa University of Technology, Czestochowa, Poland

    Roman Wyrzykowski

  2. University of Tennessee, Knoxville, Tennessee, USA

    Jack Dongarra

  3. University of Southern California, Marina Del Rey, California, USA

    Ewa Deelman

  4. Czestochowa University of Technology, Czestochowa, Poland

    Konrad Karczewski

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Arcucci, R., Basciano, D., Cilardo, A., D’Amore, L., Mantovani, F. (2018). Energy Analysis of a 4D Variational Data Assimilation Algorithm and Evaluation on ARM-Based HPC Systems. In: Wyrzykowski, R., Dongarra, J., Deelman, E., Karczewski, K. (eds) Parallel Processing and Applied Mathematics. PPAM 2017. Lecture Notes in Computer Science(), vol 10778. Springer, Cham. https://doi.org/10.1007/978-3-319-78054-2_4

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  • DOI: https://doi.org/10.1007/978-3-319-78054-2_4

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