Streaming Programming Models

Streaming Programming Models is a programming paradigm within FPGA computing that enables continuous data flow processing by organizing computations into pipelined, data-driven operations where tasks execute as soon as input data streams become available, distinguishing it from batch-oriented or control-flow-centric models.

46

Publications

2.7K

Citations

124

Authors

48

Institutions

Publications per year

2017–2026

6

Variants

Streaming Programming Model

Authors

124

  1. SA
    Saman Amarasinghe

    Massachusetts Institute of Technology, United States

    8 publications · 922 citations

    8

    h-index

  2. WT
    William Thies

    Microsoft Research (India), India

    7 publications · 889 citations

    7

    h-index

  3. MI
    Michael I. Gordon

    Massachusetts Institute of Technology, United States

    5 publications · 688 citations

    5

    h-index

  4. HA
    Hideho Arakida

    Toshiba (Japan), Japan

    3 publications · 148 citations

    3

    h-index

  5. JL
    Jacob Leverich

    Stanford University, United States

    3 publications · 148 citations

    3

    h-index

1–5 of 124

Venues

  1. ACM SIGPLAN Notices

    4 publications · 130 citations

    4

    h-index

  2. ACM SIGARCH Computer Architecture News

    2 publications · 67 citations

    2

    h-index

  3. Computer

    2 publications · 80 citations

    2

    h-index

  4. Zenodo (CERN European Organization for Nuclear Research)

    Repository · 1 publications · 16 citations

    1

    h-index

  5. 1

    h-index

1–5