Abstract
Wait states in parallel applications can be identified by scanning event traces for characteristic patterns. In our earlier work, we have defined such patterns for mpi-2 one-sided communication, although still based on a trace-analysis scheme with limited scalability. Taking advantage of a new scalable trace-analysis approach based on a parallel replay, which was originally developed for mpi-1 point-to-point and collective communication, we show how wait states in one-sided communications can be detected in a more scalable fashion. We demonstrate the scalability of our method and its usefulness for the optimization cycle with applications running on up to 8,192 cores.
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Hermanns, MA., Geimer, M., Mohr, B., Wolf, F. (2009). Scalable Detection of MPI-2 Remote Memory Access Inefficiency Patterns. In: Ropo, M., Westerholm, J., Dongarra, J. (eds) Recent Advances in Parallel Virtual Machine and Message Passing Interface. EuroPVM/MPI 2009. Lecture Notes in Computer Science, vol 5759. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03770-2_10
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DOI: https://doi.org/10.1007/978-3-642-03770-2_10
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