DocumentCode :
3078926
Title :
Quantifying the Energy Efficiency Challenges of Achieving Exascale Computing
Author :
Mair, Jason ; Zhiyi Huang ; Eyers, David ; Yawen Chen
Author_Institution :
Dept. of Comput. Sci., Univ. of Otago, Dunedin, New Zealand
fYear :
2015
fDate :
4-7 May 2015
Firstpage :
943
Lastpage :
950
Abstract :
Power and performance are two potentially opposing objectives in the design of a supercomputer, where increases in performance often come at the cost of increased power consumption and vice versa. The task of simultaneously maximising both objectives is becoming an increasingly prominent challenge in the development of future exascale supercomputers. To gain some perspective on the scale of the challenge, we analyse the power and performance trends for the Top500 and Green500 supercomputer lists. We then present the PαPW metric, which we use to evaluate the scalability of power efficiency, projecting the development of an exascale system. From this analysis, we found that when both power and performance are considered, the projected date of achieving an exascale system falls far beyond the current target of 2020.
Keywords :
parallel machines; performance evaluation; power aware computing; Green500 supercomputer list; PαPW metric; Top500 supercomputer list; energy efficiency; exascale computing; exascale supercomputer design; performance objective; power consumption; power efficiency scalability evaluation; power objective; Computer architecture; Market research; Power measurement; Program processors; Scalability; Servers; Supercomputers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cluster, Cloud and Grid Computing (CCGrid), 2015 15th IEEE/ACM International Symposium on
Conference_Location :
Shenzhen
Type :
conf
DOI :
10.1109/CCGrid.2015.130
Filename :
7152580
Link To Document :
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