Associative Reductions

Associative Reductions is a reduction operation that belongs to the class of parallel computation methods, distinguished by its reliance on associative binary operations to combine elements in a data sequence such that the grouping of operations does not affect the final result.

10

Publications

191

Citations

27

Authors

12

Institutions

Publications per year

2017–2026

1

Authors

27

  1. CB
    Charles B. Hallahan

    Economic Research Service, United States

    1 publications · 27 citations

    1

    h-index

  2. JV
    Jaroslav V. Burda

    Charles University, Czechia

    1 publications · 12 citations

    1

    h-index

  3. UU
    Ualbai Umirbaev

    Wayne State University, United States

    1 publications · 15 citations

    1

    h-index

  4. MJ
    Mingxian Jin

    Kent State University, United States

    1 publications · 23 citations

    1

    h-index

  5. JB
    J.W. Baker

    Kent State University, United States

    1 publications · 23 citations

    1

    h-index

1–5 of 27

Venues

  1. Algebra and Logic

    1 publications · 15 citations

    1

    h-index

  2. Chemistry - A European Journal

    1 publications · 12 citations

    1

    h-index

  3. Software Practice and Experience

    1 publications · 12 citations

    1

    h-index

  4. Symposium on Code Generation and Optimization

    Conference · 1 publications · 14 citations

    1

    h-index

  5. Pacific Journal of Mathematics

    1 publications · 27 citations

    1

    h-index

1–5