Automatic Adaption of the Sampling Frequency for Detailed Performance Analysis

@article{Wagner2017AutomaticAO,
  title={Automatic Adaption of the Sampling Frequency for Detailed Performance Analysis},
  author={Michael Wagner and Andreas Kn{\"u}pfer},
  journal={2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID)},
  year={2017},
  pages={973-981}
}
One of the most urgent challenges in event based performance analysis is the enormous amount of collected data. Combining event tracing and periodic sampling has been a successful approach to allow a detailed event-based recording of MPI communication and a coarse recording of the remaining application with periodic sampling. In this paper, we present a novel approach to automatically adapt the sampling frequency during runtime to the given amount of buffer space, releasing users to find an… CONTINUE READING