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pro vyhledávání: '"Rodrigues, Crefeda Faviola"'
Energy use is a key concern when deploying deep learning models on mobile and embedded platforms. Current studies develop energy predictive models based on application-level features to provide researchers a way to estimate the energy consumption of
Externí odkaz:
http://arxiv.org/abs/2004.05137
There is a huge demand for on-device execution of deep learning algorithms on mobile and embedded platforms. These devices present constraints on the application due to limited resources and power. Hence, developing energy-efficient solutions to addr
Externí odkaz:
http://arxiv.org/abs/1803.11151
Publikováno v:
In Journal of Parallel and Distributed Computing December 2019 134:75-88
Publikováno v:
2014 International Conference on Soft Computing & Machine Intelligence; 2014, p98-101, 4p