Beyond CPU: Considering Memory Power Consumption of Software

Hayri Acar, Gülfem I. Alptekin, Jean-Patrick Gelas, Parisa Ghodous

2016

Abstract

ICTs (Information and Communication Technologies) are responsible around 2% of worldwide greenhouse gas emissions (Gartner, 2007). And according to the Intergovernmental Panel on Climate Change (IPPC) recent reports, CO2 emissions due to ICTs are increasing widely. For this reason, many works tried to propose various tools to estimate the energy consumption due to software in order to reduce carbon footprint. However, these studies, in the majority of cases, takes into account only the CPU and neglects all others components. Whereas, the trend towards high-density packaging and raised memory involve a great increased of power consumption caused by memory and maybe memory can become the largest power consumer in servers. In this paper, we model and then estimate the power consumed by CPU and memory due to the execution of a software. Thus, we perform several experiments in order to observe the behavior of each component.

Paper Citation

in Harvard Style

Acar H., Alptekin G., Gelas J. and Ghodous P. (2016). Beyond CPU: Considering Memory Power Consumption of Software . In Proceedings of the 5th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS, ISBN 978-989-758-184-7, pages 417-424. DOI: 10.5220/0005764904170424

in Bibtex Style

@conference{smartgreens16,
author={Hayri Acar and Gülfem I. Alptekin and Jean-Patrick Gelas and Parisa Ghodous},
title={Beyond CPU: Considering Memory Power Consumption of Software},
booktitle={Proceedings of the 5th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,},
year={2016},
pages={417-424},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005764904170424},
isbn={978-989-758-184-7},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 5th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,
TI - Beyond CPU: Considering Memory Power Consumption of Software
SN - 978-989-758-184-7
AU - Acar H.
AU - Alptekin G.
AU - Gelas J.
AU - Ghodous P.
PY - 2016
SP - 417
EP - 424
DO - 10.5220/0005764904170424