IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-642-37349-7_8.html
   My bibliography  Save this book chapter

Extending Scalasca’s Analysis Features

In: Tools for High Performance Computing 2012

Author

Listed:
  • Daniel Lorenz

    (Forschungszentrum Jülich GmbH, Jülich Supercomputing Centre)

  • David Böhme

    (German Research School of Simulation Science GmbH)

  • Bernd Mohr

    (Forschungszentrum Jülich GmbH, Jülich Supercomputing Centre)

  • Alexandre Strube

    (Forschungszentrum Jülich GmbH, Jülich Supercomputing Centre)

  • Zoltán Szebenyi

    (German Research School of Simulation Science GmbH)

Abstract

Scalasca is a performance analysis tool, which parses the trace of an application run for certain patterns that indicate performance inefficiencies. In this paper, we present recently developed new features in Scalasaca. In particular, we describe two newly implemented analysis methods: the root cause analysis which tries to identify the cause of a delay and the critical path analysis, which analyses the path of execution that determines the application runtime. Furthermore, we present time-series profiling, a method that allows to explore time-dependent behavior of an application. Finally, we extended the means of Scalasca and its output format CUBE to define and display topologies.

Suggested Citation

  • Daniel Lorenz & David Böhme & Bernd Mohr & Alexandre Strube & Zoltán Szebenyi, 2013. "Extending Scalasca’s Analysis Features," Springer Books, in: Alexey Cheptsov & Steffen Brinkmann & José Gracia & Michael M. Resch & Wolfgang E. Nagel (ed.), Tools for High Performance Computing 2012, edition 127, pages 115-126, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-37349-7_8
    DOI: 10.1007/978-3-642-37349-7_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:978-3-642-37349-7_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.