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Performance Analysis of Shared-Memory Parallel Applications Using Performance Properties

  • Karl Fürlinger
  • Michael Gerndt
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3726)

Abstract

Tuning parallel code can be a time-consuming and difficult task. We present our approach to automate the performance analysis of OpenMP applications that is based on the notion of performance properties. Properties are formally specified in the APART specification language (ASL) with respect to a specific data model. We describe a data model for summary (profiling) data of OpenMP applications and present performance properties based on this data model. We evaluate the usability of the properties on several example codes using our OpenMP profiler ompP to acquire the profiling data.

Keywords

Performance Property Critical Section Application Developer Parallel Region Parallel Code 
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 2005

Authors and Affiliations

  • Karl Fürlinger
    • 1
  • Michael Gerndt
    • 1
  1. 1.Institut für Informatik, Lehrstuhl für Rechnertechnik und RechnerorganisationTechnische Universität München 

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