Green smartphone GPUs: Optimizing energy consumption using GPUFreq scaling governors

Handle URI:
http://hdl.handle.net/10754/595301
Title:
Green smartphone GPUs: Optimizing energy consumption using GPUFreq scaling governors
Authors:
Ahmad, Enas M.; Shihada, Basem ( 0000-0003-4434-4334 )
Abstract:
Modern smartphones are limited by their short battery life. The advancement of the graphical performance is considered as one of the main reasons behind the massive battery drainage in smartphones. In this paper we present a novel implementation of the GPUFreq Scaling Governors, a Dynamic Voltage and Frequency Scaling (DVFS) model implemented in the Android Linux kernel for dynamically scaling smartphone Graphical Processing Units (GPUs). The GPUFreq governors offer users multiple variations and alternatives in controlling the power consumption and performance of their GPUs. We implemented and evaluated our model on a smartphone GPU and measured the energy performance using an external power monitor. The results show that the energy consumption of smartphone GPUs can be significantly reduced with a minor effect on the GPU performance.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2015 IEEE 11th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)
Conference/Event name:
2015 IEEE 11th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)
Issue Date:
19-Oct-2015
DOI:
10.1109/WiMOB.2015.7348036
Type:
Conference Paper
Additional Links:
http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7348036; http://www.shihada.com/node/publications/GPUFreq.pdf
Appears in Collections:
Conference Papers; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorAhmad, Enas M.en
dc.contributor.authorShihada, Basemen
dc.date.accessioned2016-01-31T14:39:29Zen
dc.date.available2016-01-31T14:39:29Zen
dc.date.issued2015-10-19en
dc.identifier.doi10.1109/WiMOB.2015.7348036en
dc.identifier.urihttp://hdl.handle.net/10754/595301en
dc.description.abstractModern smartphones are limited by their short battery life. The advancement of the graphical performance is considered as one of the main reasons behind the massive battery drainage in smartphones. In this paper we present a novel implementation of the GPUFreq Scaling Governors, a Dynamic Voltage and Frequency Scaling (DVFS) model implemented in the Android Linux kernel for dynamically scaling smartphone Graphical Processing Units (GPUs). The GPUFreq governors offer users multiple variations and alternatives in controlling the power consumption and performance of their GPUs. We implemented and evaluated our model on a smartphone GPU and measured the energy performance using an external power monitor. The results show that the energy consumption of smartphone GPUs can be significantly reduced with a minor effect on the GPU performance.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.urlhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7348036en
dc.relation.urlhttp://www.shihada.com/node/publications/GPUFreq.pdfen
dc.rights(c) 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.en
dc.subjectCPUFreq Governorsen
dc.subjectDVFSen
dc.subjectEnergy Efficiencyen
dc.subjectGPUen
dc.subjectSmartphonesen
dc.titleGreen smartphone GPUs: Optimizing energy consumption using GPUFreq scaling governorsen
dc.typeConference Paperen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.identifier.journal2015 IEEE 11th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)en
dc.conference.date19-21 Oct. 2015en
dc.conference.name2015 IEEE 11th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)en
dc.conference.locationAbu Dhabien
dc.eprint.versionPost-printen
kaust.authorAhmad, Enas M.en
kaust.authorShihada, Basemen
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