Abstract
The paper presents an approach to overcome a traditional problem of parallel performance analysis tools: performance data often is too low level and cannot easily be mapped to the application, e.g. its execution phases. The G-PM tool offers the user an easy but flexible means to define his own high-level, application specific metrics based on existing metrics and application events. In a case study based on a real world medical application from the CrossGrid project, we demonstrate this concept as well as its usefulness in practice.
Partially funded by the European Commission (project IST-2001-32243, CrossGrid) and KBN (grant 4 T11C 032 23).
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References
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Wismüller, R., Bubak, M., Funika, W. (2005). High-Level Application Specific Performance Analysis Using the G-PM Tool. In: Di Martino, B., Kranzlmüller, D., Dongarra, J. (eds) Recent Advances in Parallel Virtual Machine and Message Passing Interface. EuroPVM/MPI 2005. Lecture Notes in Computer Science, vol 3666. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11557265_42
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DOI: https://doi.org/10.1007/11557265_42
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29009-4
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