All-reduce

All-Reduce is a collective communication operation in parallel computing that belongs to the class of reduction operations, distinguished by its requirement that the result of reducing data across all processing nodes is distributed back to all nodes, thereby ensuring uniform availability of the global reduced value.

20

Publications

1.7K

Citations

104

Authors

30

Institutions

Publications per year

2017–2026

14

Authors

104

  1. YB
    Yixin Bao

    University of Hong Kong, Hong Kong SAR China

    2 publications · 348 citations

    2

    h-index

  2. YP
    Yanghua Peng

    University of Hong Kong, Hong Kong SAR China

    2 publications · 348 citations

    2

    h-index

  3. CW
    Chuan Wu

    University of Hong Kong, Hong Kong SAR China

    2 publications · 348 citations

    2

    h-index

  4. AB
    Andrew Boutros

    University of Toronto, Canada

    1 publications · 24 citations

    1

    h-index

  5. SS
    Soham Shah

    IBM Research - Austin, United States

    1 publications · 21 citations

    1

    h-index

1–5 of 104

Venues

  1. arXiv (Cornell University)

    Repository · 3 publications · 395 citations

    3

    h-index

  2. IEEE Access

    1 publications · 34 citations

    1

    h-index

  3. Parallel Computing

    1 publications · 12 citations

    1

    h-index

  4. IEEE Computer Architecture Letters

    1 publications · 24 citations

    1

    h-index

  5. IEEE/ACM Transactions on Networking

    TON · 1 publications · 29 citations

    1

    h-index

1–5