Energy-efficient Gpu Design
Energy-Efficient GPU Design is a computational architecture methodology that optimizes graphics processing unit performance per watt by minimizing power consumption through microarchitectural innovations, dynamic voltage and frequency scaling, and workload-aware resource management.
70
Publications
2.4K
Citations
247
Authors
96
Institutions
Publications per year
2017–2026
27
Parents
70
Architecting an Energy-Efficient DRAM System for GPUs
Niladrish Chatterjee, Mike O’Connor, Donghyuk Lee et al. · 2017 · 96 citations
LookNN: Neural network with no multiplication
Mohammad Samragh Razlighi, Mohsen Imani, Farinaz Koushanfar et al. · 2017 · 81 citations
1–5 of 70
247
4
h-index
University of California, Santa Barbara, United States
3 publications · 198 citations
3
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3
h-index
2
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2
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1–5 of 247
96
University of California San Diego
San Diego, United States
6 h-index
17 publications
799 citations
University of California, Santa Barbara
Santa Barbara, United States
4 h-index
8 publications
416 citations
The University of Texas at Austin
Austin, United States
4 h-index
7 publications
332 citations

Oak Ridge National Laboratory
Oak Ridge, United States
4 h-index
6 publications
221 citations
University of Tennessee at Knoxville
Knoxville, United States
2 h-index
9 publications
180 citations
Intel (United States)
Santa Clara, United States
2 h-index
30 publications
694 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
2 h-index
3 publications
86 citations
Oregon State University
Corvallis, United States
2 h-index
2 publications
42 citations
1–8 of 96
3 publications · 44 citations
3
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2 publications · 53 citations
2
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2 publications · 35 citations
2
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2 publications · 33 citations
2
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TPDS · 2 publications · 58 citations
2
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1–5