Hardware-software Co-optimization
Hardware-Software Co-Optimization is a design methodology that systematically integrates the concurrent refinement of hardware architectures and software algorithms to jointly maximize performance, efficiency, and adaptability in computing systems.
643
Publications
27K
Citations
2.2K
Authors
604
Institutions
Publications per year
2017–2026
193
Variants
Hardware/software Co-optimization
Parents
643
Hardware-software co-design of embedded systems
W.H. Wolf · Proceedings of the IEEE · 1994 · 413 citations
G. De Michell, Rajesh K. Gupta · Proceedings of the IEEE · 1997 · 413 citations
CATalyst: Defeating last-level cache side channel attacks in cloud computing
Fangfei Liu, Qian Ge, Yuval Yarom et al. · 2016 · 376 citations
Sustainable AI: Environmental Implications, Challenges and Opportunities
Carole-Jean Wu, Ramya Raghavendra, Udit Gupta et al. · arXiv (Cornell University) · 2021 · 352 citations · Full text
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Princeton University
Princeton, United States
22 h-index
54 publications
4.2K citations
Intel (United States)
Santa Clara, United States
15 h-index
58 publications
3.4K citations
Tsinghua University
Beijing, China
15 h-index
48 publications
2.7K citations
Stanford University
Stanford, United States
15 h-index
29 publications
2.3K citations
University of California, Berkeley
Berkeley, United States
13 h-index
47 publications
4.9K citations
University of Illinois Urbana-Champaign
Urbana, United States
13 h-index
25 publications
1.7K citations
Seoul National University
Seoul, South Korea
11 h-index
45 publications
2.4K citations

University of Notre Dame
Notre Dame, United States
11 h-index
27 publications
955 citations
1–8 of 604
17 publications · 863 citations
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MICPRO · 9 publications · 213 citations
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9 publications · 306 citations
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Repository · 9 publications · 477 citations
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7 publications · 165 citations
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