Title :
Research on Power-Aware Scheduling for High-Performance Computing System
Author :
Sun, Junfeng ; Huang, Chunlin ; Dong, Jing
Author_Institution :
Grad. Sch., Nat. Univ. of Defense Technol., Changsha, China
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.
Keywords :
parallel processing; power aware computing; power consumption; power engineering computing; power system management; parallel high-performance computing system; power consumption; power down idle node; power management; power saving; power usage; power-aware scheduling policy; workload characteristics; Delay; Educational institutions; Power demand; Processor scheduling; Resource management; Runtime; Switches; high-performance computing; power manage; resource allocation; schedule; workload;
Conference_Titel :
Green Computing and Communications (GreenCom), 2011 IEEE/ACM International Conference on
Conference_Location :
Sichuan
Print_ISBN :
978-1-4577-1006-3
Electronic_ISBN :
978-0-7695-4466-3
DOI :
10.1109/GreenCom.2011.21
