Energy-efficient Acceleration
Energy-Efficient Acceleration is a hardware acceleration technique that optimizes computational performance per unit of energy by minimizing power consumption while maintaining or enhancing processing speed, thereby distinguishing itself from general acceleration methods through its primary focus on energy sustainability and efficiency.
54
Publications
1.8K
Citations
312
Authors
98
Institutions
Publications per year
2017–2026
33
Parents
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HyPar: Towards Hybrid Parallelism for Deep Learning Accelerator Array
Linghao Song, Jiachen Mao, Youwei Zhuo et al. · 2019 · 103 citations
Autogenous and efficient acceleration of energetic ions upstream of Earth’s bow shock
D. L. Turner, L. B. Wilson, T. Z. Liu et al. · Nature · 2018 · 79 citations · Full text
RANA: Towards Efficient Neural Acceleration with Refresh-Optimized Embedded DRAM
Fengbin Tu, Weiwei Wu, Shouyi Yin et al. · 2018 · 79 citations
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IBM (United States)
Armonk, United States
4 h-index
10 publications
418 citations
Intel (United States)
Santa Clara, United States
3 h-index
13 publications
455 citations

University of Toronto
Toronto, Canada
2 h-index
8 publications
342 citations
University of California San Diego
San Diego, United States
2 h-index
5 publications
223 citations
George Washington University
Washington, United States
2 h-index
5 publications
147 citations

University of Tehran
Tehran, Iran
2 h-index
4 publications
111 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
14 publications
704 citations
University of California, Los Angeles
Los Angeles, United States
2 h-index
4 publications
298 citations
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2 publications · 43 citations
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2 publications · 67 citations
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Repository · 2 publications · 24 citations
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2 publications · 72 citations
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2 publications · 64 citations
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