Energy Based Performance Tuning for Large Scale High Performance Computing Systems

@inproceedings{Laros2012EnergyBP,
  title={Energy Based Performance Tuning for Large Scale High Performance Computing Systems},
  author={James H. Laros and Kevin T. Pedretti and Suzanne M. Kelly and Wei Shu and Courtenay T. Vaughan},
  year={2012}
}
Recognition of the importance of power in the field of High Performance Computing, whether it be as an obstacle, expense or design consideration, has never been greater and more pervasive. In response to this challenge, we exploit the unique power measurement capabilities of the Cray XT architecture to gain an understanding of the power requirements of important DOE/NNSA production scientific computing applications executing at large scale (thousands of nodes). The effect of both CPU frequency… CONTINUE READING
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  • R. Weaver, M. Gittings
  • Adaptive Mesh Refinement - Theory and…
  • 2005
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  • J. Dongarra, J. Bunch, C. Moler, G. W. Stewart
  • Technical Report CS-89-85. University of…
  • 1989
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