Software-Level Power Optimization is a computational methodology that belongs to the class of dynamic power reduction techniques, distinguished by its focus on minimizing energy consumption through algorithmic, structural, or behavioral modifications in software code without altering underlying hardware.
48
Publications
2.2K
Citations
146
Authors
61
Institutions
Publications per year
2017–2026
5
Parents
Publications
48
Compilation techniques for low energy: an overview
Vivek Tiwari, Sharad Malik, A. Wolfe · 2002 · 188 citations
Operating-system directed power reduction
Yung-Hsiang Lu, Luca Benini, Giovanni De Micheli · 2000 · 121 citations
1–5 of 48
Authors
146
- LB
4
h-index
- SY
4
h-index
- KC
3
h-index
- YL
3
h-index
- LP
3
h-index
1–5 of 146
Institutions
61
Stanford University
Stanford, United States
7 h-index
13 publications
645 citations
University of Delaware
Newark, United States
3 h-index
16 publications
1.2K citations
Seoul National University
Seoul, South Korea
3 h-index
7 publications
181 citations
Pennsylvania State University
State College, United States
3 h-index
6 publications
166 citations
University of Bologna
Bologna, Italy
3 h-index
3 publications
178 citations
Samsung (South Korea)
Seoul, South Korea
2 h-index
8 publications
124 citations
Universitat Politècnica de Catalunya
Barcelona, Spain
2 h-index
6 publications
90 citations
University of California, Berkeley
Berkeley, United States
2 h-index
4 publications
379 citations
1–8 of 61
Venues
- Journal of Systems and Software
JSS · 2 publications · 32 citations
2
h-index
- IEEE Transactions on Multi-Scale Computing Systems
1 publications · 12 citations
1
h-index
- Digest of technical papers/Digest of technical papers - IEEE/ACM International Conference on Computer-Aided Design
ICCAD · 1 publications · 16 citations
1
h-index
- Journal of Lightwave Technology
1 publications · 81 citations
1
h-index
- IEEE Design & Test of Computers
1 publications · 43 citations
1
h-index
1–5