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Pricing Schemes for Energy-Efficient HPC Systems: Design and Exploration

Authors :
Borghesi, Andrea
Bartolini, Andrea
Milano, Michela
Benini, Luca
Source :
The International Journal of High Performance Computing Applications. Volume: 33 issue: 4, page(s): 716-734 , 2019
Publication Year :
2018

Abstract

Energy efficiency is of paramount importance for the sustainability of HPC systems. Energy consumption limits the peak performance of supercomputers and accounts for a large share of total cost of ownership. Consequently, system owners and final users have started exploring mechanisms to trade off performance for power consumption, for example through frequency and voltage scaling. However, only a limited number of studies have been devoted to explore the economic viability of performance scaling solutions and to devise pricing mechanisms fostering a more energy-conscious usage of resources, without adversely impacting return-of-investment on the HPC facility. We present a parametrized model to analyze the impact of frequency scaling on energy and to assess the potential total cost benefits for the HPC facility and the user. We evaluate four pricing schemes, considering both facility manager and the user perspectives. We then perform a design space exploration considering current and near-future HPC systems and technologies.

Details

Database :
arXiv
Journal :
The International Journal of High Performance Computing Applications. Volume: 33 issue: 4, page(s): 716-734 , 2019
Publication Type :
Report
Accession number :
edsarx.1806.05135
Document Type :
Working Paper
Full Text :
https://doi.org/10.1177/1094342018814593