sponsored byIEEEACMThe International Conference for High Performance 
Computing, Networking, Storage and Analysis
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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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