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Research on Power-Aware Scheduling for High-Performance Computing System

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3 Author(s)
Junfeng Sun ; Grad. Sch., Nat. Univ. of Defense Technol., Changsha, China ; Chunlin Huang ; Jing Dong

This paper analyzes workload characteristics and power usage of parallel high-performance computing system. According to the conclusions of the analysis, we propose two kinds of power-aware scheduling policies to reduce the power consumption of system by power down idle nodes reasoningly. Detailed experiments using data from the Parallel Workloads Archive indicates that both policies can achieve considerable overall system power savings while meeting the user-defined switch frequency limit for each node.

Published in:

Green Computing and Communications (GreenCom), 2011 IEEE/ACM International Conference on

Date of Conference:

4-5 Aug. 2011

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