Energy-Efficient GPU Computing is a subdomain of parallel computing that focuses on optimizing the computational performance of Graphics Processing Units while minimizing power consumption through architectural, algorithmic, or operational innovations.
239
Publications
9.5K
Citations
768
Authors
265
Institutions
Publications per year
2017–2026
88
Publications
239
Energy-efficient mechanisms for managing thread context in throughput processors
Mark Gebhart, Daniel Johnson, David Tarjan et al. · 2011 · 265 citations
1–5 of 239
Authors
768
- FS
11
h-index
- CR
9
h-index
- MI
7
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- JD
6
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- ES
6
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1–5 of 768
Institutions
265
Universitat Politècnica de València
Valencia, Spain
11 h-index
31 publications
1.5K citations
Universitat Jaume I
Castellon, Spain
10 h-index
18 publications
855 citations
University of California San Diego
San Diego, United States
10 h-index
27 publications
1.3K citations
University of Illinois Urbana-Champaign
Urbana, United States
9 h-index
23 publications
1.7K citations
University of Tennessee at Knoxville
Knoxville, United States
9 h-index
23 publications
770 citations
Nvidia (United States)
Santa Clara, United States
9 h-index
27 publications
2.1K citations
Oak Ridge National Laboratory
Oak Ridge, United States
7 h-index
9 publications
310 citations
The University of Texas at Austin
Austin, United States
6 h-index
12 publications
1K citations
1–8 of 265
Venues
- Concurrency and Computation Practice and Experience
7 publications · 121 citations
7
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- IEEE Transactions on Parallel and Distributed Systems
TPDS · 6 publications · 183 citations
6
h-index
- IEEE Transactions on Computers
6 publications · 194 citations
6
h-index
- IEEE Computer Architecture Letters
5 publications · 110 citations
5
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- ACM Transactions on Architecture and Code Optimization
TACO · 4 publications · 167 citations
4
h-index
1–5