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Detection and analysis of iterative behavior in parallel applications

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2008) 5103 LNCS(PART 3) 261-267
DOI: 10.1007/978-3-540-69389-5_30
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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. © 2008 Springer-Verlag Berlin Heidelberg.

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Fürlinger, K., & Moore, S. (2008). Detection and analysis of iterative behavior in parallel applications. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5103 LNCS, pp. 261–267). https://doi.org/10.1007/978-3-540-69389-5_30

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