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Energy efficiency has become one of the top design criteria for currentcomputing systems. The dynamic voltage and frequency scaling (DVFS) has beenwidely adopted by laptop computers, servers, and mobile devices to conserveenergy, while the GPU DVFS is still at a certain early age. This paper aims atexploring the impact of GPU DVFS on the application performance and powerconsumption, and furthermore, on energy conservation. We survey thestate-of-the-art GPU DVFS characterizations, and then summarize recent researchworks on GPU power and performance models. We also conduct real GPU DVFSexperiments on NVIDIA Fermi and Maxwell GPUs. According to our experimentalresults, GPU DVFS has significant potential for energy saving. The effect ofscaling core voltage/frequency and memory voltage/frequency depends on not onlythe GPU architectures, but also the characteristic of GPU applications.

A Survey and Measurement Study of GPU DVFS on Energy Conservation