Associative Scan

Associative Scan is a parallel computation method that performs a prefix operation over a sequence of elements using an associative binary operator to generate a new sequence where each element represents the cumulative result of the operator applied up to that position.

7

Publications

219

Citations

13

Authors

7

Institutions

Publications per year

2017–2026

0

Variants

Prefix Scan

Authors

13

  1. AG
    Anwar Ghuloum

    Intel (United Kingdom), United Kingdom

    2 publications · 108 citations

    2

    h-index

  2. AL
    Allan L. Fisher

    Carnegie Mellon University, United States

    2 publications · 108 citations

    2

    h-index

  3. OE
    Oğuz Ergin

    TOBB University of Economics and Technology, Türkiye

    1 publications · 25 citations

    1

    h-index

  4. KG
    Kanad Ghose

    Binghamton University, United States

    1 publications · 25 citations

    1

    h-index

  5. DP
    Dmitry Ponomarev

    Binghamton University, United States

    1 publications · 25 citations

    1

    h-index

1–5 of 13

Venues

  1. Pattern Recognition

    1 publications · 20 citations

    1

    h-index

  2. ACM SIGPLAN Notices

    1 publications · 14 citations

    1

    h-index

  3. Linguistics in the Netherlands

    1 publications · 41 citations

    1

    h-index

  4. Image and Vision Computing

    1 publications · 11 citations

    1

    h-index

  5. Journal of Parallel and Distributed Computing

    1 publications · 14 citations

    1

    h-index

1–5