Mira: A Framework for Static Performance Analysis

@article{Meng2017MiraAF,
  title={Mira: A Framework for Static Performance Analysis},
  author={Kewen Meng and Boyana Norris},
  journal={2017 IEEE International Conference on Cluster Computing (CLUSTER)},
  year={2017},
  pages={103-113}
}
The performance model of an application can provide understanding about its runtime behavior on particular hardware. Such information can be analyzed by developers for performance tuning. However, model building and analyzing is frequently ignored during software development until performance problems arise because they require significant expertise and can involve many time-consuming application runs. In this paper, we propose a fast, accurate, flexible and user-friendly tool, Mira, for… CONTINUE READING
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Showing 1-10 of 28 references

Rose homepage

  • D. Quinlan
  • http://rosecompiler.org.
Highly Influential
6 Excerpts

A survey of memory bandwidth and machine balance in current high performance computers

  • J. D. McCalpin
  • IEEE TCCA Newsletter, vol. 19, p. 25, 1995.
  • 1995
Highly Influential
4 Excerpts

Pollyperforming polyhedral optimizations on a low-level intermediate representation

  • T. Grosser, A. Groesslinger, C. Lengauer
  • Parallel Processing Letters, vol. 22, no. 04, p…
  • 2012

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