Document Type

Journal Article

Department/Unit

Department of Computer Science

Language

English

Abstract

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.

Keywords

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

Publication Date

5-2017

Source Publication Title

Digital Communications and Networks

Volume

3

Issue

2

Start Page

89

End Page

100

Publisher

Elsevier

Peer Reviewed

1

Copyright

2352-8648/ © 2017 Chongqing University of Posts and Telecommuniocations. Production and hosting by Elsevier B.V. This is an open access article under the CC BY-NC-ND license.

Funder

This work is partially supported by HKBU FRG2/14-15/059 and Shenzhen Basic Research Grant SCI-2015-SZTIC-002.

DOI

10.1016/j.dcan.2016.10.001

Link to Publisher's Edition

https://doi.org/10.1016/j.dcan.2016.10.001

ISSN (electronic)

23528648

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