sponsored byACMIEEE The International Conference for High Performance 
Computing, Networking, Storage and Analysis
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SCHEDULE: NOV 15-20, 2015

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Dynamic Power Sharing for Higher Job Throughput

SESSION: Power-Constrained Computing


EVENT TAG(S): Power, Performance

TIME: 4:30PM - 5:00PM

SESSION CHAIR(S): Karen L. Karavanic

AUTHOR(S):Daniel A. Ellsworth, Allen D. Malony, Barry Rountree, Martin Schulz



Current trends for high-performance systems are leading us towards hardware over-provisioning where it is no longer possible to run all components at peak power without exceeding a system or facility wide power bound.
Static power scheduling is likely to lead to inefficiencies with over and under provisioning of power to components at runtime.
In this paper we investigate the performance and scalability of POWsched, an application agnostic runtime power scheduler capable of enforcing a system-wide power limit.
Our experimental results show POWsched can improve overall runtime by as much as 14%. We also contribute a model and simulation, POWsim, for investigating dynamic power scheduling and enforcement at scale.

Chair/Author Details:

Karen L. Karavanic (Chair) - Portland State University|

Daniel A. Ellsworth - University of Oregon

Allen D. Malony - University of Oregon

Barry Rountree - Lawrence Livermore National Laboratory

Martin Schulz - Lawrence Livermore National Laboratory

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Paper provided by the ACM Digital Library

Paper also available from IEEE Computer Society