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International Conference on High Performance Computing

ISC High Performance 2019: High Performance Computing pp 61–68Cite as

Singularity GPU Containers Execution on HPC Cluster

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11887))

Abstract

This paper describes how to use the Singularity containerization tool in a HPC cluster equipped with GPU accelerators. The application chosen for benchmarking is Tensorflow, the open-source software library for machine learning. The singularity containers built have run into GALILEO HPC cluster at CINECA. A performance comparison between bare metal and container executions is also provided, showing a negligible difference in the number of images computed per second.

Supported by Prace - Partnership for Advanced Computing in Europe - 5IP, http://www.prace-ri.eu/.

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References

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  18. ImageNet dataset. http://www.image-net.org/

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Author information

Authors and Affiliations

  1. CINECA - Interuniversity Consortium, Bologna, Italy

    Giuseppa Muscianisi & Giuseppe Fiameni

  2. University of Oslo, Oslo, Norway

    Abdulrahman Azab

Authors
  1. Giuseppa Muscianisi
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  2. Giuseppe Fiameni
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  3. Abdulrahman Azab
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Corresponding author

Correspondence to Giuseppa Muscianisi .

Editor information

Editors and Affiliations

  1. University of Edinburgh, Edinburgh, UK

    Michèle Weiland

  2. Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Sachsen, Germany

    Guido Juckeland

  3. Swiss National Supercomputing Centre, Lugano, Ticino, Switzerland

    Sadaf Alam

  4. University of Tennessee at Knoxville, Knoxville, TN, USA

    Heike Jagode

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© 2019 Springer Nature Switzerland AG

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Cite this paper

Muscianisi, G., Fiameni, G., Azab, A. (2019). Singularity GPU Containers Execution on HPC Cluster. In: Weiland, M., Juckeland, G., Alam, S., Jagode, H. (eds) High Performance Computing. ISC High Performance 2019. Lecture Notes in Computer Science(), vol 11887. Springer, Cham. https://doi.org/10.1007/978-3-030-34356-9_6

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  • DOI: https://doi.org/10.1007/978-3-030-34356-9_6

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-34355-2

  • Online ISBN: 978-3-030-34356-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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