Streaming Computation

Streaming Computation is a computational paradigm in hardware acceleration that processes continuous, unbounded data sequences in real time with minimal buffering, distinguishing itself from batch processing by enabling low-latency, ordered, and often stateful operations on data elements as they arrive.

314

Publications

15.3K

Citations

952

Authors

291

Institutions

Publications per year

2017–2026

76

Variants

Streaming Computation Models

Authors

952

  1. SA
    Saman Amarasinghe

    Massachusetts Institute of Technology, United States

    8 publications · 1.3K citations

    9

    h-index

  2. WJ
    William J. Dally

    Stanford University, United States

    9 publications · 1.5K citations

    9

    h-index

  3. KS
    Kentaro Sano

    Tohoku University, Japan

    8 publications · 205 citations

    9

    h-index

  4. RD
    Roger D. Chamberlain

    Washington University in St. Louis, United States

    8 publications · 170 citations

    8

    h-index

  5. UJ
    Ujval J. Kapasi

    Stanford University, United States

    7 publications · 1.4K citations

    7

    h-index

1–5 of 952

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 7 publications · 178 citations

    7

    h-index

  2. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 4 publications · 191 citations

    4

    h-index

  3. IEEE Access

    4 publications · 110 citations

    4

    h-index

  4. ACM SIGPLAN Notices

    4 publications · 65 citations

    4

    h-index

  5. arXiv (Cornell University)

    Repository · 4 publications · 113 citations

    4

    h-index

1–5