Green smartphone GPUs: Optimizing energy consumption using GPUFreq scaling governors
Type
Conference PaperAuthors
Ahmad, Enas M.Shihada, Basem

KAUST Department
Computer Science ProgramComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Date
2015-12-08Online Publication Date
2015-12-08Print Publication Date
2015-10Permanent link to this record
http://hdl.handle.net/10754/595301
Metadata
Show full item recordAbstract
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.Citation
Ahmad, E., & Shihada, B. (2015). Green smartphone GPUs: Optimizing energy consumption using GPUFreq scaling governors. 2015 IEEE 11th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob). doi:10.1109/wimob.2015.7348036Conference/Event name
2015 IEEE 11th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)Additional Links
http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7348036http://www.shihada.com/node/publications/GPUFreq.pdf
ae974a485f413a2113503eed53cd6c53
10.1109/WiMOB.2015.7348036