A novel GPU power model for accurate smartphone power breakdown

Young Geun Kim, Minyong Kim, Jae Min Kim, Minyoung Sung, Sung Woo Jung

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

As GPU power consumption in smartphones increases with more advanced graphic performance, it becomes essential to estimate GPU power consumption accurately. The conventional GPU power model assumes, simply, that a GPU consumes constant power when turned on; however, this is no longer true for recent smartphone GPUs. In this paper, we propose an accurate GPU power model for smartphones, considering newly adopted dynamic voltage and frequency scaling. For the proposed GPU power model, our evaluation results show that the error rate for system power estimation is as low as 2.9%, on average, and 4.6% in the worst case.

Original languageEnglish
Pages (from-to)157-164
Number of pages8
JournalETRI Journal
Volume37
Issue number1
DOIs
Publication statusPublished - 2015 Jan 1

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Keywords

  • GPU
  • Power breakdown
  • Power consumption
  • Power model
  • Smartphone

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science(all)
  • Electronic, Optical and Magnetic Materials

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