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

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 supercomputers. In this paper we evaluate and quantify the impact of variability on Eurora’s energy-performance tradeoffs under a wide range of workload intensity.

Francesco Fraternali, Andrea Bartolini, Carlo Cavazzoni, Giampietro Tecchiolli, and Luca Benini. 2014. Quantifying the impact of variability on the energy efficiency for a next-generation ultra-green supercomputer. In Proceedings of the 2014 international symposium on Low power electronics and design (ISLPED ’14). ACM, New York, NY, USA, 295-298. DOI=10.1145/2627369.2627659 http://doi.acm.org/10.1145/2627369.2627659


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