@inproceedings{68e0a301c59d49639ac169601ec8ecb2,
title = "Simulating power scheduling at scale",
abstract = "Comparison of power scheduling strategies at scale is challenging due to the limited availability of high performance computing (HPC) systems exposing power control to researchers. In this paper we describe PowSim, a simulator for comparing different power management strategies at large-scale for HPC systems. PowSim enables light-weight simulation of dynamically-changing hardware-enforced processor power caps at the scale of an HPC cluster, supporting power scheduling research. PowSim{\textquoteright}s architecture supports easily changing power scheduler, job scheduler, and application models to enable comparison studies. Preliminary results comparing generalized power scheduling strategies are also presented.",
keywords = "Power capping, Power scheduling, Simulation",
author = "Daniel Ellsworth and Tapasya Patki and Martin Schulz and Barry Rountree and Allen Malony",
note = "Publisher Copyright: {\textcopyright} 2017 Copyright held by the owner/author(s).; 5th International Workshop on Energy Efficient Supercomputing, E2SC 2017 - Held in conjunction with the International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2017 ; Conference date: 12-11-2017 Through 17-11-2017",
year = "2017",
month = nov,
day = "12",
doi = "10.1145/3149412.3149414",
language = "English",
isbn = "9781450351324",
series = "Proceedings of E2SC 2017: 5th International Workshop on Energy Efficient Supercomputing - Held in conjunction with SC 2017: The International Conference for High Performance Computing, Networking, Storage and Analysis",
publisher = "Association for Computing Machinery, Inc",
booktitle = "Proceedings of E2SC 2017",
}