Task Granularity

Task Granularity is the classification of a computational task by its relative size and complexity, distinguished by the amount of work, data, or time required to execute it within a high-throughput computing environment.

115

Publications

6.9K

Citations

333

Authors

159

Institutions

Publications per year

2017–2026

34

Authors

333

  1. YY
    Yiyu Yao

    University of Regina, Canada

    8 publications · 1.1K citations

    8

    h-index

  2. GW
    Guoyin Wang

    Chongqing University of Posts and Telecommunications, China

    3 publications · 299 citations

    3

    h-index

  3. NL
    Nai-Wei Lin

    National Chung Cheng University, Taiwan

    3 publications · 175 citations

    3

    h-index

  4. JH
    Jiun-Ming Hsu

    University of Illinois Urbana-Champaign, United States

    3 publications · 83 citations

    3

    h-index

  5. WP
    Witold Pedrycz

    University of Alberta, Canada

    3 publications · 269 citations

    3

    h-index

1–5 of 333

Venues

  1. Granular Computing

    9 publications · 896 citations

    9

    h-index

  2. Information Sciences

    6 publications · 508 citations

    6

    h-index

  3. Applied Soft Computing

    5 publications · 106 citations

    5

    h-index

  4. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 4 publications · 440 citations

    4

    h-index

  5. International Journal of Approximate Reasoning

    3 publications · 653 citations

    3

    h-index

1–5