Abstract
Performance analysis of parallel applications requires a high degree of flexibility for the user to navigate through huge amounts of performance trace data. Many different statistics need to be calculated and compared in order to derive meaningful conclusions. In this paper we propose user-defined objects as a means to customize the analysis for different hardware platforms, programming paradigms, or application areas. We describe how the concept is realized in a development version of the SunTM Studio Performance Analyzer and demonstrate its usefulness for the analysis of a nested OpenMP application.
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© 2008 Springer-Verlag Berlin Heidelberg
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Jost, G., Mazurov, O., an Mey, D. (2008). Adding New Dimensions to Performance Analysis Through User-Defined Objects. In: Mueller, M.S., Chapman, B.M., de Supinski, B.R., Malony, A.D., Voss, M. (eds) OpenMP Shared Memory Parallel Programming. IWOMP 2005. Lecture Notes in Computer Science, vol 4315. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68555-5_21
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DOI: https://doi.org/10.1007/978-3-540-68555-5_21
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-68554-8
Online ISBN: 978-3-540-68555-5
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