Association for Computing Machinery
In recent years, more and more transistors have been integrated within the GPU, which has resulted in steadily rising power consumption requirements. In this paper, the authors present a preliminary scheme to statistically analyze and model the power consumption of a mainstream GPU by exploiting the innate coupling among power consumption characteristics, runtime performance, and dynamic workloads. Based on the recorded runtime GPU workload signals, their trained statistical model is capable of robustly and accurately predicting power consumption of the target GPU. To the best of their knowledge, this study is the first work that applies statistical analysis to model the power consumption of a mainstream GPU, and its results provide useful insights for future endeavors of building energy-efficient GPU computing paradigms.