Task-level Parallelism

Task-Level Parallelism is a programming model paradigm that decomposes an application into distinct, concurrently executable tasks, distinguished by its focus on parallelizing coarse-grained functional units rather than fine-grained data or instruction-level operations.

285

Publications

12.6K

Citations

958

Authors

324

Institutions

Publications per year

2017–2026

66

Authors

958

  1. JL
    Jesús Labarta

    Universitat Politècnica de Catalunya, Spain

    9 publications · 690 citations

    9

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  2. RM
    Rosa M. Badía

    Universitat Politècnica de Catalunya, Spain

    8 publications · 611 citations

    8

    h-index

  3. EA
    Eduard Ayguadé

    Universitat Politècnica de Catalunya, Spain

    7 publications · 735 citations

    7

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  4. VS
    Vivek Sarkar

    Rice University, United States

    7 publications · 534 citations

    7

    h-index

  5. CS
    Cristina Silvano

    Politecnico di Milano, Italy

    6 publications · 140 citations

    6

    h-index

1–5 of 958

Venues

  1. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 6 publications · 447 citations

    6

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  2. Journal of Parallel and Distributed Computing

    5 publications · 123 citations

    5

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  3. ACM SIGPLAN Notices

    5 publications · 344 citations

    5

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  4. 4

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  5. 4

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1–5