Power-efficient Gpu Design
Power-Efficient GPU Design is a GPU architecture methodology that optimizes computational performance per watt by minimizing energy consumption through architectural innovations in parallel processing, memory hierarchy, and dynamic voltage-frequency scaling.
74
Publications
3.1K
Citations
253
Authors
111
Institutions
Publications per year
2017–2026
24
74
NVIDIA A100 Tensor Core GPU: Performance and Innovation
Jack Choquette, Wishwesh Gandhi, Olivier Giroux et al. · IEEE Micro · 2021 · 380 citations
Akhil Arunkumar, Evgeny Bolotin, Benjamin Cho et al. · 2017 · 160 citations
Accelerating Viola-Jones Face Detection to FPGA-Level Using GPUs
Daniel Hefenbrock, Jason Oberg, Nhat Tan Nguyen Thanh et al. · 2010 · 106 citations
Architecting an Energy-Efficient DRAM System for GPUs
Niladrish Chatterjee, Mike O’Connor, Donghyuk Lee et al. · 2017 · 96 citations
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111
University of California San Diego
San Diego, United States
5 h-index
13 publications
974 citations
Universitat Politècnica de Catalunya
Barcelona, Spain
5 h-index
7 publications
368 citations
The University of Texas at Austin
Austin, United States
4 h-index
5 publications
472 citations
University of California, Santa Barbara
Santa Barbara, United States
4 h-index
8 publications
416 citations
University of Pittsburgh
Pittsburgh, United States
4 h-index
8 publications
183 citations

Peking University
Beijing, China
4 h-index
7 publications
227 citations
Microsoft Research Asia (China)
Beijing, China
4 h-index
7 publications
432 citations
Arizona State University
Tempe, United States
3 h-index
5 publications
512 citations
1–8 of 111
2 publications · 31 citations
2
h-index
2 publications · 91 citations
2
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TSWJ · 1 publications · 27 citations
1
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1 publications · 13 citations
1
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1 publications · 16 citations
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