Manila: Using a Densely Populated PMC-Space for Power Modelling within Large-Scale Systems

@article{Mair2016ManilaUA,
  title={Manila: Using a Densely Populated PMC-Space for Power Modelling within Large-Scale Systems},
  author={Jason Mair and Zhiyi Huang and David M. Eyers},
  journal={2016 45th International Conference on Parallel Processing Workshops (ICPPW)},
  year={2016},
  pages={210-219}
}
In this paper, we propose a new power modelling method, called Manila, that can largely reduce the effort of PMC-based power modelling using high-dimensional k-nearest neighbour searching, without the use of model tuning and domain-specific knowledge. This method helps improve the accuracy of PMC-based power modelling and widen its scope of use… CONTINUE READING