A survey and measurement study of GPU DVFS on energy conservation

Xinxin Mei, Qiang WANG, Xiaowen CHU*

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

50 Citations (Scopus)
64 Downloads (Pure)


Energy efficiency has become one of the top design criteria for current computing systems. The dynamic voltage and frequency scaling (DVFS) has been widely adopted by laptop computers, servers, and mobile devices to conserve energy, while the GPU DVFS is still at a certain early age. This paper aims at exploring the impact of GPU DVFS on the application performance and power consumption, and furthermore, on energy conservation. We survey the state-of-the-art GPU DVFS characterizations, and then summarize recent research works on GPU power and performance models. We also conduct real GPU DVFS experiments on NVIDIA Fermi and Maxwell GPUs. According to our experimental results, GPU DVFS has significant potential for energy saving. The effect of scaling core voltage/frequency and memory voltage/frequency depends on not only the GPU architectures, but also the characteristic of GPU applications.

Original languageEnglish
Pages (from-to)89-100
Number of pages12
JournalDigital Communications and Networks
Issue number2
Publication statusPublished - 1 May 2017

Scopus Subject Areas

  • Hardware and Architecture
  • Computer Networks and Communications

User-Defined Keywords

  • Dynamic voltage and frequency scaling
  • Energy efficiency
  • Graphics processing unit


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