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Author: | Bhaumik, Rijubrata |
Title: | Power modeling of mobile applications using Hardware Performance Counters |
Publication type: | Master's thesis |
Publication year: | 2011 |
Pages: | [9] + 51 Language: eng |
Department/School: | Tietotekniikan laitos |
Main subject: | Tietokoneverkot (T-110) |
Supervisor: | Ylä-Jääski, Antti |
Instructor: | Xiao, Yu |
OEVS: | Electronic archive copy is available via Aalto Thesis Database.
Instructions Reading digital theses in the closed network of the Aalto University Harald Herlin Learning CentreIn the closed network of Learning Centre you can read digital and digitized theses not available in the open network. The Learning Centre contact details and opening hours: https://learningcentre.aalto.fi/en/harald-herlin-learning-centre/ You can read theses on the Learning Centre customer computers, which are available on all floors.
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Location: | P1 Ark Aalto | Archive |
Keywords: | power modeling performance counter mobile devices regression modeling |
Abstract (eng): | Power consumption issues are one of the most significant factors affecting the future of performance improvements in modern microprocessors. This is all the more important for mobile and handheld devices running on battery. This work demonstrates a first order, linear power model using Hardware Performance Counters (HPC) to estimate the CPU and memory power consumptions. The experiments are done on a Nokia N810 device based on a TI OMAP 2420 processor. We derive and validate a set of power weights using regression modelling for performance and power and present a general power model. We also present two application specific power models, one for audio player application and one for a video player application. The use of HPC for performance-power prediction seems to be more popular than simulator based approaches which are time consuming and error prone. On most processors, the number of HPCs which can be monitored simultaneously is very limited. To the best of our knowledge, this is the first model based on just 3 HPC. We present our preliminary results from our experiments and discuss how in future this model can be combined with power modelling for data transmissions to create a full system energy profiler of mobile devices. |
ED: | 2012-05-07 |
INSSI record number: 44380
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