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  1. Proceedings of the 4th International Workshop on Energy Efficient Supercomputing (E2SC '16)
  2. A unified platform for exploring power management strategies
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Power-constrained performance scheduling of data parallel tasks
Economic viability of hardware overprovisioning in power-constrained high performance computing
Quantifying energy use in dense shared memory HPC node
A unified platform for exploring power management strategies
An ECM-based energy-efficiency optimization approach for bandwidth-limited streaming kernels on recent Intel Xeon processors
Runtime power limiting of parallel applications on Intel Xeon Phi processors
Characterizing power and performance of GPU memory access
Preliminary investigation of mobile system features potentially relevant to HPC
Energy aware scheduling study on BlueWonder
Software controlled clock modulation for energy efficiency optimization on Intel processors
Neural network-based task scheduling with preemptive fan control

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A unified platform for exploring power management strategies

Content Provider ACM Digital Library
Author Schulz, Martin Ellsworth, Daniel Malony, Allen Patki, Tapasya Rountree, Barry
Abstract Power is quickly becoming a first class resource management concern in HPC. Upcoming HPC systems will likely be hardware over-provisioned, which will require enhanced power management subsystems to prevent service interruption. To advance the state of the art in HPC power management research, we are implementing SLURM plugins to explore a range of power-aware scheduling strategies. Our goal is to develop a coherent platform that allows for a direct comparison of various power-aware approaches on research as well as production clusters.
Starting Page 24
Ending Page 30
Page Count 7
File Format PDF
ISBN 9781509038565
DOI 10.1109/E2SC.2016.10
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2016-11-13
Access Restriction Subscribed
Content Type Text
Resource Type Article
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