Heterogeneous Cluster Computing

Heterogeneous Cluster Computing is a form of cluster computing in which the constituent nodes differ in architecture, hardware capabilities, or computational resources, enabling the integration and coordinated execution of tasks across diverse computing platforms within a single clustered environment.

160

Publications

6K

Citations

503

Authors

197

Institutions

Publications per year

2017–2026

32

Authors

503

  1. KL
    Kenli Li

    Hunan University, China

    7 publications · 510 citations

    7

    h-index

  2. KL
    Keqin Li

    SUNY New Paltz, United States

    5 publications · 442 citations

    5

    h-index

  3. YR
    Yves Robert

    École Normale Supérieure de Lyon, France

    5 publications · 178 citations

    5

    h-index

  4. CY
    Chao‐Tung Yang

    Tunghai University, Taiwan

    4 publications · 102 citations

    4

    h-index

  5. OB
    Olivier Beaumont

    Centre National de la Recherche Scientifique, France

    4 publications · 159 citations

    4

    h-index

1–5 of 503

Venues

  1. 5

    h-index

  2. Journal of Parallel and Distributed Computing

    5 publications · 289 citations

    5

    h-index

  3. Future Generation Computer Systems

    FGCS · 5 publications · 283 citations

    5

    h-index

  4. IEEE Transactions on Computers

    3 publications · 371 citations

    4

    h-index

  5. arXiv (Cornell University)

    Repository · 3 publications · 96 citations

    3

    h-index

1–5