Detection and Analysis of Iterative Behavior in Parallel Applications

Authors:
Karl Fürlinger;Shirley Moore
Affiliations:
Innovative Computing Laboratory, Department of Electrical Engineering and Computer Science, University of Tennessee,;Innovative Computing Laboratory, Department of Electrical Engineering and Computer Science, University of Tennessee,
Venue:
ICCS '08 Proceedings of the 8th international conference on Computational Science, Part III
Year:
2008

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Abstract

Many applications exhibit iterative and phase based behavior. We present an approach to detect and analyze iteration phases in applications by recording the control flow graph of the application and analyzing it for loops that represent iterations. Phases are then manually marked and performance profiles are captured in alignment with the iterations. By analyzing how profiles change between capture points, differences in execution behavior between iterations can be uncovered.