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Beyond CPU: Considering Memory Power Consumption of Software

Hayri Acar 1, 2 Gülfem Isiklar Alptekin 3 Jean-Patrick Gelas 4 Parisa Ghodous 1
1 SOC - Service Oriented Computing
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
4 AVALON - Algorithms and Software Architectures for Distributed and HPC Platforms
Inria Grenoble - Rhône-Alpes, LIP - Laboratoire de l'Informatique du Parallélisme
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.
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Submitted on : Tuesday, May 10, 2016 - 5:44:21 PM
Last modification on : Saturday, September 11, 2021 - 3:18:27 AM
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  • HAL Id : hal-01314070, version 1


Hayri Acar, Gülfem Isiklar Alptekin, Jean-Patrick Gelas, Parisa Ghodous. Beyond CPU: Considering Memory Power Consumption of Software. Smartgreens 2016, Apr 2016, Rome, Italy. pp.417-424. ⟨hal-01314070⟩



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