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Resilient N-Body Tree Computations with Algorithm-Based Focused Recovery: Model and Performance Analysis

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High Performance Computing Systems. Performance Modeling, Benchmarking, and Simulation (PMBS 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10724))

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Abstract

This paper presents a model and performance study for Algorithm-Based Focused Recovery (ABFR) applied to N-body computations, subject to latent errors. We make a detailed comparison with the classical Checkpoint/Restart (CR) approach. While the model applies to general frameworks, the performance study is limited to perfect binary trees, due to the inherent difficulty of the analysis. With ABFR, the crucial parameter is the detection interval, which bounds the error latency. We show that the detection interval has a dramatic impact on the overhead, and that optimally choosing its value leads to significant gains over the CR approach.

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Notes

  1. 1.

    Errors that cannot be detected are beyond the ability of any error recovery system to consider.

  2. 2.

    Assuming expensive checks means that any improvements in checking can be incorporated – cost is not a disqualifier.

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Author information

Authors and Affiliations

  1. University of Basel, Basel, Switzerland

    Aurélien Cavelan

  2. Laboratoire LIP, ENS Lyon and Inria, Lyon, France

    Aurélien Cavelan & Yves Robert

  3. University of Chicago, Chicago, USA

    Aiman Fang & Andrew A. Chien

  4. Argonne National Laboratory, Lemont, USA

    Andrew A. Chien

  5. University of Tennessee Knoxville, Knoxville, USA

    Yves Robert

Authors
  1. Aurélien Cavelan
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  2. Aiman Fang
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  3. Andrew A. Chien
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  4. Yves Robert
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Corresponding author

Correspondence to Aurélien Cavelan .

Editor information

Editors and Affiliations

  1. University of Warwick, Coventry, United Kingdom

    Stephen Jarvis

  2. University of Warwick, Coventry, United Kingdom

    Steven Wright

  3. Sandia National Laboratories, Albuquerque, New Mexico, USA

    Simon Hammond

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Cavelan, A., Fang, A., Chien, A.A., Robert, Y. (2018). Resilient N-Body Tree Computations with Algorithm-Based Focused Recovery: Model and Performance Analysis. In: Jarvis, S., Wright, S., Hammond, S. (eds) High Performance Computing Systems. Performance Modeling, Benchmarking, and Simulation. PMBS 2017. Lecture Notes in Computer Science(), vol 10724. Springer, Cham. https://doi.org/10.1007/978-3-319-72971-8_8

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  • DOI: https://doi.org/10.1007/978-3-319-72971-8_8

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-72971-8

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