Kernel Offloading Models
Kernel Offloading Models is a programming paradigm in FPGA-based computing that enables the execution of compute-intensive kernel functions on reconfigurable hardware while maintaining the host processor for control-intensive tasks, thereby distinguishing itself from full-system hardware acceleration approaches by selectively offloading specific kernels.
8
Publications
287
Citations
43
Authors
11
Institutions
Publications per year
2017–2026
3
Parents
8
TMO: transparent memory offloading in datacenters
Johannes Weiner, Niket Agarwal, Dan Schatzberg et al. · 2022 · 88 citations · Full text
Making QUIC Quicker With NIC Offload
Xiangrui Yang, Lars Eggert, Jörg Ott et al. · 2020 · 30 citations
1–5 of 8
43
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University of Illinois Urbana-Champaign, United States
1 publications · 88 citations
1
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1
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1
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IBM Research - Thomas J. Watson Research Center, United States
1 publications · 56 citations
1
h-index
1–5 of 43
11
George Mason University
Fairfax, United States
1 h-index
3 publications
72 citations
Emory University
Atlanta, United States
1 h-index
1 publications
23 citations
Sandia National Laboratories
Albuquerque, United States
1 h-index
3 publications
69 citations
Universitat Politècnica de Catalunya
Barcelona, Spain
1 h-index
4 publications
68 citations
Queen Mary University of London
London, United Kingdom
1 h-index
2 publications
60 citations
IBM Research - Thomas J. Watson Research Center
Yorktown Heights, United States
1 h-index
10 publications
560 citations
NetApp (United States)
Sunnyvale, United States
1 h-index
1 publications
30 citations

Imperial College London
London, United Kingdom
1 h-index
1 publications
56 citations
1–8 of 11