TY - GEN
T1 - A high performance cluster system design by adaptive power control
AU - Kondo, Masaaki
AU - Ikeda, Yoshimichi
AU - Nakamura, Hiroshi
PY - 2007
Y1 - 2007
N2 - The first order design constraint in dense packaged clusters is power consumption. The currently developed cluster systems are conservatively designed so that the expected peak power does not exceed the power limit. However, practical power consumption seldom reaches the peak power. In this paper, we propose a new approach to design a high performance cluster system by an adaptive power control technique. Our approach is to integrate many computation nodes into a system whose total theoretical peak power exceeds the limit and to control runtime effective power by optimizing the number of working nodes and/or the clock frequency of the processors. We show the algorithm of the adaptive power control and performance evaluation by using a real cluster system. Evaluation results show that our proposed approach greatly improves performance as large as 46% compared to a conventional cluster system.
AB - The first order design constraint in dense packaged clusters is power consumption. The currently developed cluster systems are conservatively designed so that the expected peak power does not exceed the power limit. However, practical power consumption seldom reaches the peak power. In this paper, we propose a new approach to design a high performance cluster system by an adaptive power control technique. Our approach is to integrate many computation nodes into a system whose total theoretical peak power exceeds the limit and to control runtime effective power by optimizing the number of working nodes and/or the clock frequency of the processors. We show the algorithm of the adaptive power control and performance evaluation by using a real cluster system. Evaluation results show that our proposed approach greatly improves performance as large as 46% compared to a conventional cluster system.
UR - http://www.scopus.com/inward/record.url?scp=34548791637&partnerID=8YFLogxK
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U2 - 10.1109/IPDPS.2007.370535
DO - 10.1109/IPDPS.2007.370535
M3 - Conference contribution
AN - SCOPUS:34548791637
SN - 1424409101
SN - 9781424409105
T3 - Proceedings - 21st International Parallel and Distributed Processing Symposium, IPDPS 2007; Abstracts and CD-ROM
BT - Proceedings - 21st International Parallel and Distributed Processing Symposium, IPDPS 2007; Abstracts and CD-ROM
T2 - 21st International Parallel and Distributed Processing Symposium, IPDPS 2007
Y2 - 26 March 2007 through 30 March 2007
ER -