Evaluating and analyzing the energy efficiency of CNN inference on high‐performance GPU

Summary Convolutional neural network (CNN) inference usually runs on high‐performance graphic processing units (GPUs). Since GPU is a high power consumption unit, that makes the energy consumption increases sharply due to the deep learning tasks. The energy efficiency of CNN inference is not only re...

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Veröffentlicht in:	Concurrency and computation 2021-03, Vol.33 (6), p.n/a
Hauptverfasser:	Yao, Chunrong, Liu, Wantao, Tang, Weiqing, Guo, Jinrong, Hu, Songlin, Lu, Yijun, Jiang, Wei
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks CNNs Cognitive tasks Convolution Energy consumption Energy efficiency Graphics processing units high‐performance GPU Inference Optimization Power consumption Revenue
Online-Zugang:	Volltext
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