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

Authors

43

  1. KN
    Katayoun Neshatpour

    George Mason University, United States

    1 publications · 24 citations

    1

    h-index

  2. DS
    Dimitrios Skarlatos

    University of Illinois Urbana-Champaign, United States

    1 publications · 88 citations

    1

    h-index

  3. BH
    Bryan Henderson

    Scripps Health, United States

    1 publications · 23 citations

    1

    h-index

  4. DA
    Dorian Arnold

    University of New Mexico, United States

    1 publications · 23 citations

    1

    h-index

  5. ZS
    Zehra Sura

    IBM Research - Thomas J. Watson Research Center, United States

    1 publications · 56 citations

    1

    h-index

1–5 of 43