Matching Application Signatures for Performance Predictions Using a Single Execution

@article{Jayakumar2015MatchingAS,
  title={Matching Application Signatures for Performance Predictions Using a Single Execution},
  author={Anirudh Jayakumar and Prakash Murali and Sathish S. Vadhiyar},
  journal={2015 IEEE International Parallel and Distributed Processing Symposium},
  year={2015},
  pages={1161-1170}
}
Performance predictions for large problem sizes and processors using limited small scale runs are useful for a variety of purposes including scalability projections, and help in minimizing the time taken for constructing training data for building performance models. In this paper, we present a prediction framework that matches execution signatures for performance predictions of HPC applications using a single small scale application execution. Our framework extracts execution signatures of… CONTINUE READING

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