IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-319-08144-1_8.html
   My bibliography  Save this book chapter

A Comparison of Trace Compression Methods for Massively Parallel Applications in Context of the SIOX Project

In: Tools for High Performance Computing 2013

Author

Listed:
  • Alvaro Aguilera

    (Technische Universität Dresden)

  • Holger Mickler

    (Technische Universität Dresden)

  • Julian Kunkel

    (Deutsches Klimarechenzentrum)

  • Michaela Zimmer

    (Universität Hamburg)

  • Marc Wiedemann

    (Universität Hamburg)

  • Ralph Müller-Pfefferkorn

    (Technische Universität Dresden)

Abstract

The analysis and optimization of HPC I/O is a daunting task that is still unaddressed at large. The SIOX project aims to help HPC users and system administrators alike to improve the I/O performance of the applications by gaining awareness of the I/O operations taking place on the system and launching corrective measures when a problem is encountered. Given the size of modern HPC clusters and the corresponding amount of I/O they generate, the SIOX project faces a series of scalability challenges that need to be resolved. Beyond presenting the architecture and functioning of the SIOX system, this paper examines one of its biggest challenges, namely the transmission and management of large amount of event-based I/O trace information as well as the benefits the use of the trace compression techniques like ScalaTrace and C3G may convey.

Suggested Citation

  • Alvaro Aguilera & Holger Mickler & Julian Kunkel & Michaela Zimmer & Marc Wiedemann & Ralph Müller-Pfefferkorn, 2014. "A Comparison of Trace Compression Methods for Massively Parallel Applications in Context of the SIOX Project," Springer Books, in: Andreas Knüpfer & José Gracia & Wolfgang E. Nagel & Michael M. Resch (ed.), Tools for High Performance Computing 2013, edition 127, chapter 0, pages 91-105, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-08144-1_8
    DOI: 10.1007/978-3-319-08144-1_8
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-319-08144-1_8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.