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Unveiling Energy Efficiency in Deep Learning: Measurement, Prediction, and Scoring across Edge Devices

Unveiling Energy Efficiency in Deep Learning: Measurement, Prediction, and Scoring across Edge Devices

Xiaolong Tu
Anik Mallik
Dawei Chen
Kyungtae Han
Onur Altintas
Haoxin Wang
Jiang Xie
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Papers citing "Unveiling Energy Efficiency in Deep Learning: Measurement, Prediction, and Scoring across Edge Devices"

2 / 2 papers shown
Title
IoTCO2: Assessing the End-To-End Carbon Footprint of Internet-of-Things-Enabled Deep Learning
IoTCO2: Assessing the End-To-End Carbon Footprint of Internet-of-Things-Enabled Deep Learning
Ahmad Faiz
S. Attari
Gayle Buck
Fan Chen
Lei Jiang
23
0
0
16 Mar 2024
DeepEn2023: Energy Datasets for Edge Artificial Intelligence
DeepEn2023: Energy Datasets for Edge Artificial Intelligence
Xiaolong Tu
Anik Mallik
Haoxin Wang
Jiang Xie
25
1
0
30 Nov 2023