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Automatic detection of power bottlenecks in parallel scientific applications

  • Special Issue Paper
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Computer Science - Research and Development

Abstract

In this paper we present an extension of the pmlib framework for power-performance analysis that permits a rapid and automatic detection of power sinks during the execution of concurrent scientific workloads. The extension is shaped in the form of a multithreaded Python module that offers high reliability and flexibility, rendering an overall inspection process that introduces low overhead. Additionally, we investigate the advantages and drawbacks of the RAPL power model, introduced in the Intel Xeon “Sandy-Bridge” CPU, versus a data acquisition system from National Instruments.

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  1. http://ilupack.tu-bs.de.

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Acknowledgements

This work was supported by the CICYT project TIN2011-23283 of the Ministerio de Economía y Competitividad and FEDER, and the EU Project FP7 318793 “EXA2GREEN”.

We thank Rosa M. Badia, from the Barcelona Supercomputing Center (BSC) and the Spanish National Research Council (CSIC), for providing several of the OMPSs applications used for the calibration of pmlib.

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Authors and Affiliations

  1. Depto. de Ingeniería y Ciencia de Computadores, Univ. Jaume I, 12071, Castellón, Spain

    María Barreda, Sandra Catalán, Rafael Mayo & Enrique S. Quintana-Ortí

  2. Department of Informatics, University of Hamburg, 22527, Hamburg, Germany

    Manuel F. Dolz

Authors
  1. María Barreda
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  2. Sandra Catalán
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  3. Manuel F. Dolz
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  4. Rafael Mayo
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  5. Enrique S. Quintana-Ortí
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Corresponding author

Correspondence to María Barreda.

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Barreda, M., Catalán, S., Dolz, M.F. et al. Automatic detection of power bottlenecks in parallel scientific applications. Comput Sci Res Dev 29, 221–229 (2014). https://doi.org/10.1007/s00450-013-0242-8

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  • DOI: https://doi.org/10.1007/s00450-013-0242-8

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