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SCHEDULE: NOV 16-21, 2014
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Maximizing Throughput of Overprovisioned HPC Data Centers Under a Strict Power Budget
SESSION: Power and Energy Efficiency
EVENT TYPE: Papers
TIME: 10:30AM - 11:00AM
SESSION CHAIR: Kirk Cameron
AUTHOR(S):Osman Sarood, Akhil Langer, Abhishek Gupta, Laxmikant V. Kale
ROOM:393-94-95
ABSTRACT:
Increasing power consumption is one of the biggest challenges towards achieving the next scale of supercomputers. In this paper, we propose an integer programming based online resource manager, PARM, for data centers with a fixed power budget. PARM determines the optimal allocation of resources to the jobs including CPU power and number of nodes. It leverages the hardware capability of constraining power consumption of nodes, in such a way that the throughput of the data center is maximized for a given power budget. PARM is also capable of dynamically shrinking and expanding the number of nodes of malleable running jobs - a characteristic that further improves its throughput. For resource allocation, it uses the essential power characteristics of the jobs determined by the proposed power-aware performance model. Our results show up to 5.2X improvement in throughput when compared to the power-oblivious SLURM resource manager.
Chair/Author Details:
Kirk Cameron (Chair) - Virginia Polytechnic Institute and State University
Osman Sarood - University of Illinois at Urbana-Champaign
Akhil Langer - University of Illinois at Urbana-Champaign
Abhishek Gupta - University of Illinois at Urbana-Champaign
Laxmikant V. Kale - University of Illinois at Urbana-Champaign
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