Task-based Runtime Systems

Task-Based Runtime Systems is a type of parallel computing execution model that manages and schedules computational units as tasks, distinguished by its dynamic decomposition of work into fine-grained, dependently coordinated tasks executed asynchronously across available processing resources.

58

Publications

2K

Citations

201

Authors

86

Institutions

Publications per year

2017–2026

28

Authors

201

  1. ST
    Samuel Thibault

    Laboratoire Bordelais de Recherche en Informatique, France

    8 publications · 241 citations

    8

    h-index

  2. JD
    Jack Dongarra

    University of Tennessee at Knoxville, United States

    8 publications · 371 citations

    8

    h-index

  3. GB
    George Bosilca

    University of Tennessee at Knoxville, United States

    8 publications · 308 citations

    8

    h-index

  4. TH
    Thomas Hérault

    University of Tennessee at Knoxville, United States

    5 publications · 208 citations

    5

    h-index

  5. LS
    Luka Stanisic

    Université Grenoble Alpes, France

    4 publications · 85 citations

    4

    h-index

1–5 of 201

Venues

  1. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 3 publications · 130 citations

    3

    h-index

  2. 2

    h-index

  3. Future Generation Computer Systems

    FGCS · 2 publications · 262 citations

    2

    h-index

  4. Journal of Computational Science

    1 publications · 29 citations

    1

    h-index

  5. Behavior Research Methods

    BRM · 1 publications · 73 citations

    1

    h-index

1–5