Task Co-scheduling

Task Co-Scheduling is a scheduling strategy that belongs to the class of data locality optimization techniques, distinguished by its coordinated execution of interdependent tasks on the same computing node to minimize data movement and maximize cache and memory reuse.

73

Publications

2.7K

Citations

290

Authors

118

Institutions

Publications per year

2017–2026

27

Authors

290

  1. JS
    Junqiang Song

    National University of Defense Technology, China

    3 publications · 60 citations

    3

    h-index

  2. KD
    Kefeng Deng

    National University of Defense Technology, China

    3 publications · 60 citations

    3

    h-index

  3. GB
    Giorgio Buttazzo

    Scuola Superiore Sant'Anna, Italy

    3 publications · 42 citations

    3

    h-index

  4. KR
    Kaijun Ren

    National University of Defense Technology, China

    3 publications · 60 citations

    3

    h-index

  5. DC
    Dan C. Marinescu

    University of Central Florida, United States

    2 publications · 142 citations

    2

    h-index

1–5 of 290

Venues

  1. Journal of Parallel and Distributed Computing

    3 publications · 97 citations

    3

    h-index

  2. The Journal of Supercomputing

    2 publications · 35 citations

    2

    h-index

  3. IEEE Transactions on Computers

    2 publications · 36 citations

    2

    h-index

  4. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 2 publications · 42 citations

    2

    h-index

  5. Future Generation Computer Systems

    FGCS · 2 publications · 89 citations

    2

    h-index

1–5