A measurement study of GPU DVFS on energy conservation

Xinxin Mei, Ling Sing Yung, Kaiyong Zhao, Xiaowen CHU

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

51 Citations (Scopus)

Abstract

Nowadays, GPUs are widely used to accelerate many high performance computing applications. Energy conservation of such computing systems has become an important research topic. Dynamic voltage/frequency scaling (DVFS) is proved to be an appealing method for saving energy for traditional computing centers. However, there is still a lack of firsthand study on the effectiveness of GPU DVFS. This paper presents a thorough measurement study that aims to explore how GPU DVFS affects the system energy consumption. We conduct experiments on a real GPU platform with 37 benchmark applications. Our results show that GPU voltage/frequency scaling is an effective approach to conserving energy. For example, by scaling down the GPU core voltage and frequency, we have achieved an average of 19.28% energy reduction compared with the default setting, while giving up no more than 4% of performance. For all tested GPU applications, core voltage scaling is significantly effective to reduce system energy consumption. Meanwhile the effects of scaling core frequency and memory frequency depend on the characteristics of GPU applications.

Original languageEnglish
Title of host publicationProceedings of the Workshop on Power-Aware Computing and Systems, HotPower 2013
DOIs
Publication statusPublished - 2013
EventWorkshop on Power-Aware Computing and Systems, HotPower 2013 - Farmington, PA, United States
Duration: 3 Nov 20136 Nov 2013

Publication series

NameProceedings of the Workshop on Power-Aware Computing and Systems, HotPower 2013

Conference

ConferenceWorkshop on Power-Aware Computing and Systems, HotPower 2013
Country/TerritoryUnited States
CityFarmington, PA
Period3/11/136/11/13

Scopus Subject Areas

  • Software

User-Defined Keywords

  • energy conservation
  • GPU
  • voltage/frequency scaling

Fingerprint

Dive into the research topics of 'A measurement study of GPU DVFS on energy conservation'. Together they form a unique fingerprint.

Cite this