TY - JOUR
T1 - A survey and measurement study of GPU DVFS on energy conservation
AU - Mei, Xinxin
AU - WANG, Qiang
AU - CHU, Xiaowen
N1 - Funding Information:
This work is partially supported by HKBU FRG2/14-15/059 and Shenzhen Basic Research Grant SCI-2015-SZTIC-002.
PY - 2017/5/1
Y1 - 2017/5/1
N2 - 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.
AB - 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.
KW - Dynamic voltage and frequency scaling
KW - Energy efficiency
KW - Graphics processing unit
UR - http://www.scopus.com/inward/record.url?scp=85021417992&partnerID=8YFLogxK
U2 - 10.1016/j.dcan.2016.10.001
DO - 10.1016/j.dcan.2016.10.001
M3 - Journal article
AN - SCOPUS:85021417992
SN - 2468-5925
VL - 3
SP - 89
EP - 100
JO - Digital Communications and Networks
JF - Digital Communications and Networks
IS - 2
ER -
