Kahn Process Networks

Kahn Process Networks is a deterministic dataflow model of computation in which processes communicate via unbounded FIFO channels and exhibit monotonic input/output behavior, ensuring that the network's execution is uniquely determined by the input sequence.

55

Publications

4.4K

Citations

145

Authors

47

Institutions

Publications per year

2017–2026

1

Variants

Kahn Process NetworkKpn

Authors

145

  1. BK
    Bart Kienhuis

    Leiden University, Netherlands

    8 publications · 337 citations

    8

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  2. ED
    E. Deprettere

    Delft University of Technology, Netherlands

    7 publications · 523 citations

    7

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  3. KV
    Kees Vissers

    Xilinx (United States), United States

    6 publications · 736 citations

    6

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  4. PL
    Paul Lieverse

    Delft University of Technology, Netherlands

    6 publications · 736 citations

    6

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  5. AT
    Alexandru Turjan

    Leiden University, Netherlands

    6 publications · 289 citations

    6

    h-index

1–5 of 145

Venues

  1. 2

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  2. 2

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  3. SIMULATION

    1 publications · 12 citations

    1

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  4. IEEE Transactions on Signal Processing

    1 publications · 30 citations

    1

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  5. 1

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