Quantifying The Energy Efficiency Challenges Of Achieving Exascale Computing

CCGRID '15: Proceedings of the 15th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing(2015)

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摘要
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 P-alpha PW 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.
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关键词
energy efficiency,exascale computing,power objective,performance objective,power consumption,exascale supercomputer design,Top500 supercomputer list,Green500 supercomputer list,PαPW metric,power efficiency scalability evaluation
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