skip to main content
10.1145/3093338.3106737acmotherconferencesArticle/Chapter ViewAbstractPublication PagespearcConference Proceedingsconference-collections
poster

Performance Analysis of Applications using Singularity Container on SDSC Comet

Authors Info & Claims
Published:09 July 2017Publication History

ABSTRACT

Multiple nodes of the Comet supercomputer at the San Diego Supercomputer Center were used to analyse and compare (between Singularity and non-Singularity) performance of resource intensive applications of benchmark codes such as NEURON (a computational neuronal simulation tool), OSU Benchmarks, and Intel MPI Benchmarks (IMB). NEURON software was used to simulate a complex neuronal network model (Jones Model from ModelDB hosted at Yale University) and the IMB benchmarks were used to calculate the latency and performance of each method. communication efficiency of MPI. The containerized runtimes were directly compared with the corresponding non-containerized runtime of jobs to analyse the performance of each method. For future work, we plan to explore other technologies such as Shifter and study their performance on HPC.

References

  1. Jones SR, Pritchett DL, Stufflebeam SM, Hamalainen M, Moore CI (2007) Neural correlates of tactile detection: a combined magnetoencephalography and biophysically based computational modeling study. J Neurosci 27:10751-64Google ScholarGoogle ScholarCross RefCross Ref
  2. G. Slavova, Intel MPI Benchmarks, Intel, 2017.Google ScholarGoogle Scholar
  3. D. Panda. OSU, NERSC, 2017.Google ScholarGoogle Scholar
  4. M. Hines, NEURON, 2017.Google ScholarGoogle Scholar

Recommendations

Comments

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Sign in
  • Published in

    cover image ACM Other conferences
    PEARC '17: Proceedings of the Practice and Experience in Advanced Research Computing 2017 on Sustainability, Success and Impact
    July 2017
    451 pages
    ISBN:9781450352727
    DOI:10.1145/3093338
    • General Chair:
    • David Hart

    Copyright © 2017 Owner/Author

    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 9 July 2017

    Check for updates

    Qualifiers

    • poster
    • Research
    • Refereed limited

    Acceptance Rates

    PEARC '17 Paper Acceptance Rate54of79submissions,68%Overall Acceptance Rate133of202submissions,66%

PDF Format

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader