Probabilistic Power Estimation
Probabilistic Power Estimation is a power estimation method that characterizes energy consumption in computing systems by modeling input workloads and circuit behaviors as stochastic processes to quantify power consumption through probability distributions rather than deterministic point values.
111
Publications
4.8K
Citations
259
Authors
125
Institutions
Publications per year
2017–2026
19
Parents
111
QCAPro - An error-power estimation tool for QCA circuit design
Saket Srivastava, Arjun Asthana, Sanjukta Bhanja et al. · 2011 · 288 citations
Engineering, Computer Engineering, Electrical Engineering +17
1–5 of 111
259
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6
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6
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5
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1–5 of 259
125
University of Southern California
Los Angeles, United States
13 h-index
29 publications
1.2K citations
University of Illinois Urbana-Champaign
Urbana, United States
10 h-index
18 publications
416 citations
Engineering Systems (United States)
Omaha, United States
8 h-index
19 publications
750 citations
Purdue University West Lafayette
West Lafayette, United States
7 h-index
15 publications
337 citations
Intel (United States)
Santa Clara, United States
6 h-index
7 publications
188 citations

Universidad Politécnica de Madrid
Madrid, Spain
3 h-index
10 publications
124 citations
University of Chicago
Chicago, United States
3 h-index
12 publications
460 citations
University of Illinois Chicago
Chicago, United States
3 h-index
12 publications
460 citations
1–8 of 125
5 publications · 311 citations
5
h-index
3 publications · 89 citations
4
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4 publications · 157 citations
4
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TMCCI · 2 publications · 81 citations
2
h-index
Conference · 2 publications · 118 citations
2
h-index
1–5