IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-319-39589-0_8.html
   My bibliography  Save this book chapter

Event Flow Graphs for MPI Performance Monitoring and Analysis

In: Tools for High Performance Computing 2015

Author

Listed:
  • Xavier Aguilar

    (KTH Royal Institute of Technology, High Performance Computing and Visualization Department (HPCViz), and Swedish E-Science Research Center (SeRC))

  • Karl Fürlinger

    (Ludwig-Maximilians-Universität (LMU) Munich, Computer Science Department, MNM Team)

  • Erwin Laure

    (KTH Royal Institute of Technology, High Performance Computing and Visualization Department (HPCViz), and Swedish E-Science Research Center (SeRC))

Abstract

Classical performance analysis methodologies use either execution traces with fine-grained data or profiles with aggregates. Event traces provide the finest level of detail on application behavior, however, they are infeasible at extreme scales due to the huge amount of information they contain. In contrast, profiles are much more scalable but they lack the temporal order between events. In this paper, we present the use of event flow graphs for performance characterization of MPI applications. Event flow graphs capture statistics on the events performed by the application while preserving the temporal order of such events. Thus, they stand in between tracing and profiling, and are a good complement for classical performance analysis approaches such as event traces or profiles. Furthermore, event flow graphs can be used for means other than visual exploration of performance data. For example, graphs can be utilized as compressed representations of event traces, or to automatically detect the program structure of iterative applications at runtime without any source code analysis.

Suggested Citation

  • Xavier Aguilar & Karl Fürlinger & Erwin Laure, 2016. "Event Flow Graphs for MPI Performance Monitoring and Analysis," Springer Books, in: Andreas Knüpfer & Tobias Hilbrich & Christoph Niethammer & José Gracia & Wolfgang E. Nagel & Michael (ed.), Tools for High Performance Computing 2015, chapter 0, pages 103-115, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-39589-0_8
    DOI: 10.1007/978-3-319-39589-0_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:978-3-319-39589-0_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.