Dataflow Architectures

Dataflow Architecture is a parallel computing architecture in which the execution of instructions is determined by the availability of input data rather than by a sequential control flow, thereby distinguishing it from traditional von Neumann architectures that rely on explicit program counters and instruction sequencing.

293

Publications

14.7K

Citations

1.1K

Authors

291

Institutions

Publications per year

2017–2026

59

Authors

1.1K

  1. RG
    Roberto Giorgi

    University of Siena, Italy

    12 publications · 358 citations

    11

    h-index

  2. JR
    John R. Gurd

    University of Manchester, United Kingdom

    9 publications · 625 citations

    9

    h-index

  3. GM
    Gregory M. Papadopoulos

    Massachusetts Institute of Technology, United States

    9 publications · 882 citations

    9

    h-index

  4. DC
    David Culler

    University of California, Berkeley, United States

    9 publications · 698 citations

    9

    h-index

  5. YY
    Yoshinori Yamaguchi

    The University of Osaka, Japan

    9 publications · 407 citations

    9

    h-index

1–5 of 1.1K

Venues

  1. ACM SIGARCH Computer Architecture News

    18 publications · 784 citations

    15

    h-index

  2. IEEE Transactions on Computers

    12 publications · 767 citations

    12

    h-index

  3. Computer

    7 publications · 1.1K citations

    7

    h-index

  4. Journal of Parallel and Distributed Computing

    7 publications · 175 citations

    7

    h-index

  5. Future Generation Computer Systems

    FGCS · 4 publications · 75 citations

    4

    h-index

1–5