Online Hardware Optimization
Online Hardware Optimization is a dynamic adaptation methodology within adaptive hardware systems that enables real-time, in-situ reconfiguration of hardware resources based on continuously monitored operational conditions to enhance performance, efficiency, or resilience without interrupting system execution.
10
Publications
255
Citations
39
Authors
23
Institutions
Publications per year
2017–2026
3
Parents
10
Machine learning for on-line hardware reconfiguration
Jonathan Wildstrom, Peter Stone, Emmett Witchel et al. · 2007 · 31 citations
DNA: A General <u>D</u>ynamic Neural <u>N</u>etwork <u>A</u>ccelerator
Lian Liu, Jinxin Yu, Mengdi Wang et al. · IEEE Transactions on Computers · 2025 · 24 citations
1–5 of 10
39
1
h-index
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 39
23

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
1 h-index
2 publications
28 citations
Menlo School
Atherton, United States
1 h-index
4 publications
296 citations
University of Lausanne
Lausanne, Switzerland
1 h-index
2 publications
20 citations
Leiden University
Leiden, The Netherlands
1 h-index
1 publications
14 citations

Université Joseph Fourier
Grenoble, France
1 h-index
1 publications
10 citations

Imperial College London
London, United Kingdom
1 h-index
2 publications
84 citations

University of Edinburgh
Edinburgh, United Kingdom
1 h-index
5 publications
55 citations
Ikerlan
Mondragón, Spain
1 h-index
2 publications
22 citations
1–8 of 23
1 publications · 74 citations
1
h-index
MICPRO · 1 publications · 14 citations
1
h-index
1 publications · 42 citations
1
h-index
Conference · 1 publications · 11 citations
1
h-index
1 publications · 10 citations
1
h-index
1–5