Load-balanced Reduction

Load-Balanced Reduction is a reduction operation technique that distributes computational or data processing tasks evenly across processing units to minimize bottlenecks and optimize resource utilization during the aggregation of data.

6

Publications

157

Citations

22

Authors

14

Institutions

Publications per year

2017–2026

3

Authors

22

  1. SP
    Sancheng Peng

    Guangdong University of Foreign Studies, China

    1 publications · 19 citations

    1

    h-index

  2. GS
    Garret Swart

    IBM Research - Almaden, United States

    1 publications · 82 citations

    1

    h-index

  3. AB
    Ali Bakhthemmat

    Sharif University of Technology, Iran

    1 publications · 13 citations

    1

    h-index

  4. DL
    Dangpeng Liu

    Chinese People's Armed Police Force

    1 publications · 10 citations

    1

    h-index

  5. AU
    Aleksey Urmanov

    Oracle (United States), United States

    1 publications · 82 citations

    1

    h-index

1–5 of 22

Venues

  1. The Journal of Supercomputing

    1 publications · 17 citations

    1

    h-index

  2. Journal Of Big Data

    1 publications · 13 citations

    1

    h-index

  3. Sensors

    1 publications · 19 citations

    1

    h-index

  4. IEEE Sensors Journal

    1 publications · 16 citations

    1

    h-index

1–4