Quantifying the Impact of Variability on the Energy Efficiency for a Next-generation Ultra-green Supercomputer

被引：15
|
作者：
Fraternali, Francesco [1 ]
Bartolini, Andrea [2 ]
Cavazzoni, Carlo [3 ]
Tecchiolli, Giampietro [4 ]
Benini, Luca [2 ]
机构：
[1] Univ Bologna, Bologna, Italy
[2] Univ Bologna, ETHZ, Bologna, Italy
[3] CINECA, SCAI, Bologna, Italy
[4] Eurotech SpA, Amaro, UD, Italy
来源：
PROCEEDINGS OF THE 2014 IEEE/ACM INTERNATIONAL SYMPOSIUM ON LOW POWER ELECTRONICS AND DESIGN (ISLPED) | 2014年
关键词：
Supercomputer; Variability; Energy Efficiency; Energy Aware;
D O I：
10.1145/2627369.2627659
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Supercomputers, nowadays, aggregate a large number of nodes sharing the same nominal HW components (eg. processors and GPGPUS). In real-life machines, the chips populating each node are subject to a wide range of variability sources, related to performance and temperature operating points (i.e. ACPI p-states) as well as process variations and die binning. Eurora is a fully operational supercomputer prototype that topped July 2013 Green500 and it represents a unique 'living lab' for next-generation ultra-green super-computers. In this paper we evaluate and quantify the impact of variability on Eurora's energy-performance tradeoffs under a wide range of workload intensity.
引用
收藏
页码：295 / 298
页数：4
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