Real-time Performance Profiling
Real-Time Performance Profiling is a computational methodology that continuously monitors and analyzes the execution behavior of augmented reality systems during operation to identify performance bottlenecks with minimal latency, distinguishing it from offline profiling techniques by its emphasis on immediate feedback and dynamic adaptability.
16
Publications
671
Citations
71
Authors
30
Institutions
Publications per year
2017–2026
8
16
Victor Rodrigues Amaral Cossich, Dave Carlgren, Robert John Holash et al. · Applied Sciences · 2023 · 143 citations · Full text
Performance Measurements of Virtual Reality Systems
Chun‐Ming Chang, Cheng-Hsin Hsu, Chih-Fan Hsu et al. · 2016 · 40 citations
1–5 of 16
71
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National Agency for New Technologies, Energy and Sustainable Economic Development, Italy
1 publications · 12 citations
1
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1
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1
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1–5 of 71
30

Peking University
Beijing, China
2 h-index
8 publications
972 citations
Purdue University West Lafayette
West Lafayette, United States
2 h-index
2 publications
95 citations

University of Toronto
Toronto, Canada
1 h-index
2 publications
120 citations
Tsinghua University
Beijing, China
1 h-index
2 publications
54 citations
Hangzhou Dianzi University
Hangzhou, China
1 h-index
5 publications
50 citations
National Tsing Hua University
Hsinchu, Taiwan
1 h-index
2 publications
80 citations

Oak Ridge National Laboratory
Oak Ridge, United States
1 h-index
2 publications
24 citations
Institute of Nuclear Physics, Polish Academy of Sciences
Krakow, Poland
1 h-index
1 publications
12 citations
1–8 of 30
Repository · 1 publications · 16 citations
1
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1 publications · 168 citations
1
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TMCCI · 1 publications · 75 citations
1
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1 publications · 12 citations
1
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1 publications · 15 citations
1
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1–5