Task Parallelism In Shared-memory Systems

Task Parallelism in Shared-Memory Systems is a parallel computing paradigm that enables the concurrent execution of discrete tasks on a shared-memory architecture, where multiple processing units access and manipulate shared data while coordinating task scheduling and synchronization to minimize dependencies and race conditions.

88

Publications

3.8K

Citations

251

Authors

127

Institutions

Publications per year

2017–2026

13

Authors

251

  1. JF
    Jan F. Prins

    University of North Carolina at Chapel Hill, United States

    3 publications · 188 citations

    3

    h-index

  2. SL
    Stephen L. Olivier

    Sandia National Laboratories, United States

    3 publications · 188 citations

    3

    h-index

  3. VS
    Vivek Sarkar

    Rice University, United States

    2 publications · 109 citations

    2

    h-index

  4. JK
    Jacob Kegerreis

    Durham University, United Kingdom

    2 publications · 117 citations

    2

    h-index

  5. ZB
    Zoran Budimlić

    Rice University, United States

    2 publications · 109 citations

    2

    h-index

1–5 of 251

Venues

  1. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 5 publications · 224 citations

    5

    h-index

  2. Concurrency Practice and Experience

    3 publications · 45 citations

    3

    h-index

  3. Computer Physics Communications

    2 publications · 39 citations

    2

    h-index

  4. Computer

    2 publications · 148 citations

    2

    h-index

  5. International Journal of Parallel Programming

    2 publications · 39 citations

    2

    h-index

1–5