SCHEDULE: NOV 15-20, 2015

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Node Variability in Large-Scale Power Measurement: Perspectives from the Green500, Top500 and EEHPCWG

SESSION: State of the Practice: Measuring Systems

EVENT TYPE: Papers

EVENT TAG(S): Energy, State of Practice, Facilities, Performance

TIME: 2:00PM - 2:30PM

SESSION CHAIR(S): Neil Chue Hong

AUTHOR(S):Thomas R. W. Scogland, Jonathan Azose, David Rohr, Suzanne Rivoire, Natalie Bates, Daniel Hackenberg, Torsten Wilde, James H. Rogers

ROOM:18AB

ABSTRACT:

The last decade has seen power consumption move from an afterthought to the
foremost design constraint of new supercomputers. Measuring the power of a
supercomputer can be a daunting proposition and, as a result, many published
measurements are extrapolated. This paper explores the validity of these
extrapolations in the context of inter-node power variability and power
variations over time within a run. We characterize power variability across
nodes in systems at eight supercomputer centers across the globe. Based on
these, we find that the current requirement for measurements submitted to the
Green500 and others is insufficient, allowing variations of as much as 20\%
from time of measurement and a further 10-15\% from insufficient sample sizes.
This paper proposes new measurement requirements to ensure consistent accuracy
for power and energy measurements of supercomputers, some of which have
been accepted for use by the Green500 and Top500.

Chair/Author Details:

Neil Chue Hong (Chair) - University of Edinburgh|

Thomas R. W. Scogland - The Green500 and Lawrence Livermore National Laboratory

Jonathan Azose - University of Washington

David Rohr - Goethe University Frankfurt

Suzanne Rivoire - Sonoma State University

Natalie Bates - Energy Efficient HPC Working Group

Daniel Hackenberg - Technical University of Dresden

Torsten Wilde - Leibniz Supercomputing Center

James H. Rogers - Oak Ridge National Laboratory

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Paper provided by the ACM Digital Library

Paper also available from IEEE Computer Society