Parallel Thread Scheduling

Parallel Thread Scheduling is a GPU execution model mechanism that organizes and manages concurrent thread execution by assigning groups of threads to processing units in a way that maximizes resource utilization and minimizes idle cycles through fine-grained context switching.

26

Publications

1.2K

Citations

92

Authors

42

Institutions

Publications per year

2017–2026

9

Authors

92

  1. OM
    Onur Mutlu

    Carnegie Mellon University, United States

    4 publications · 556 citations

    4

    h-index

  2. AJ
    Adwait Jog

    William & Mary, United States

    2 publications · 113 citations

    2

    h-index

  3. MK
    Mahmut Kandemir

    Pennsylvania State University, United States

    2 publications · 113 citations

    2

    h-index

  4. RA
    Rachata Ausavarungnirun

    Carnegie Mellon University, United States

    2 publications · 113 citations

    2

    h-index

  5. TC
    Todd C. Mowry

    Carnegie Mellon University, United States

    2 publications · 113 citations

    2

    h-index

1–5 of 92

Venues

  1. Theory of Computing Systems

    1 publications · 25 citations

    1

    h-index

  2. Computers & Geosciences

    CAGEO · 1 publications · 62 citations

    1

    h-index

  3. IEEE Transactions on Power Systems

    1 publications · 12 citations

    1

    h-index

  4. arXiv (Cornell University)

    Repository · 1 publications · 11 citations

    1

    h-index

  5. Performance Evaluation

    1 publications · 15 citations

    1

    h-index

1–5