Energy-efficient Analytics
Energy-Efficient Analytics is an analytical approach within edge and IoT analytics that minimizes energy consumption during data processing and model execution by optimizing computational efficiency, resource allocation, and communication overhead in resource-constrained environments.
23
Publications
1.7K
Citations
115
Authors
64
Institutions
Publications per year
2017–2026
15
Parents
23
Graphicionado: A high-performance and energy-efficient accelerator for graph analytics
Tae Jun Ham, Lisa Wu, Narayanan Sundaram et al. · 2016 · 270 citations
Big Data Meet Green Challenges: Greening Big Data
Jinsong Wu, Song Guo, Jie Li et al. · IEEE Systems Journal · 2016 · 233 citations · Full text
A Sampling-Based Approach to Optimizing Top-k Queries in Sensor Networks
Alon Silberstein, Rebecca Braynard, Carla Ellis et al. · 2006 · 159 citations
1–5 of 23
115
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1–5 of 115
64
Intel (United States)
Santa Clara, United States
3 h-index
8 publications
924 citations

Ollscoil na Gaillimhe – University of Galway
Galway, Ireland
2 h-index
4 publications
61 citations
University of California, Berkeley
Berkeley, United States
2 h-index
2 publications
442 citations
Princeton University
Princeton, United States
2 h-index
4 publications
884 citations
Atos (Spain)
Madrid, Spain
1 h-index
2 publications
50 citations

University of Aizu
Fukushima, Japan
1 h-index
1 publications
233 citations
ETH Zurich
Zurich, Switzerland
1 h-index
8 publications
888 citations
IBM Research - Haifa
Haifa, Israel
1 h-index
2 publications
50 citations
1–8 of 64
2 publications · 63 citations
2
h-index
Conference · 1 publications · 25 citations
1
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1 publications · 39 citations
1
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1 publications · 68 citations
1
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Conference · 1 publications · 10 citations
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1–5