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

Authors:
Junfeng Sun;Chunlin Huang;Jing Dong
Affiliations:
-;-;-
Venue:
GREENCOM '11 Proceedings of the 2011 IEEE/ACM International Conference on Green Computing and Communications
Year:
2011

Citing 2
Cited 0

Utilization, Predictability, Workloads, and User Runtime Estimates in Scheduling the IBM SP2 with Backfilling

IEEE Transactions on Parallel and Distributed Systems
Power-aware resource allocation in high-end systems via online simulation

Proceedings of the 19th annual international conference on Supercomputing

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Abstract

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.