Abstract
A scalable approach to performance analysis of MPI applications is presented that includes automated source code instrumentation, low overhead generation of profile and trace data, and database management of performance data. In addition, tools are described that analyze large-scale parallel profile and trace data. Analysis of trace data is done using an automated pattern-matching approach. Examples of using the tools on large-scale MPI applications are presented. © Springer-Verlag Berlin Heidelberg 2005.
Cite
CITATION STYLE
Moore, S., Wolf, F., Dongarra, J., Shende, S., Malony, A., & Mohr, B. (2005). A scalable approach to MPI application performance analysis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3666 LNCS, pp. 309–316). https://doi.org/10.1007/11557265_41
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