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Detecting Application Load Imbalance on High End Massively Parallel Systems

  • Luiz DeRose
  • Bill Homer
  • Dean Johnson
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4641)

Abstract

Scientific applications should be well balanced in order to achieve high scalability on current and future high end massively parallel systems. However, the identification of sources of load imbalance in such applications is not a trivial exercise, and the current state of the art in performance analysis tools do not provide an efficient mechanism to help users to identify the main areas of load imbalance in an application. In this paper we discuss a new set of metrics that we defined to identify and measure application load imbalance. We then describe the extensions that were made to the Cray performance measurement and analysis infrastructure to detect application load imbalance and present to the user in an insightful way.

Keywords

Load Balance Processing Element Parallel System Load Imbalance Call Graph 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Luiz DeRose
    • 1
  • Bill Homer
    • 1
  • Dean Johnson
    • 1
  1. 1.Cray Inc., Mendota Heights, MNUSA

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