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Singularity GPU Containers Execution on HPC Cluster

  • Giuseppa MuscianisiEmail author
  • Giuseppe Fiameni
  • Abdulrahman Azab
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, 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.

Keywords

Singularity GPU Tensorflow 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Giuseppa Muscianisi
    • 1
    Email author
  • Giuseppe Fiameni
    • 1
  • Abdulrahman Azab
    • 2
  1. 1.CINECA - Interuniversity ConsortiumBolognaItaly
  2. 2.University of OsloOsloNorway

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