Granularity Control

Granularity Control is a method in task parallelism that determines the optimal decomposition of tasks into subtasks by regulating the size and scope of individual computational units to balance overhead and parallel efficiency.

425

Publications

26.9K

Citations

4.2K

Authors

630

Institutions

Publications per year

2017–2026

119

Authors

4.2K

  1. WP
    Witold Pedrycz

    University of Alberta, Canada

    28 publications · 2.5K citations

    21

    h-index

  2. YY
    Yiyu Yao

    University of Regina, Canada

    19 publications · 2.1K citations

    16

    h-index

  3. GW
    Guoyin Wang

    Chongqing University of Posts and Telecommunications, China

    9 publications · 736 citations

    9

    h-index

  4. ZL
    Zhiwu Li

    Xidian University, China

    6 publications · 192 citations

    6

    h-index

  5. AS
    Andrzej Skowron

    Institute of Mathematics, Poland

    6 publications · 383 citations

    6

    h-index

1–5 of 4.2K

Venues

  1. Information Sciences

    13 publications · 1K citations

    12

    h-index

  2. Granular Computing

    11 publications · 1.2K citations

    11

    h-index

  3. arXiv (Cornell University)

    Repository · 9 publications · 553 citations

    9

    h-index

  4. IEEE Transactions on Fuzzy Systems

    TFS · 10 publications · 631 citations

    9

    h-index

  5. Knowledge-Based Systems

    8 publications · 345 citations

    8

    h-index

1–5