Parallel Overhead Reduction

Parallel Overhead Reduction is a computational optimization strategy within task parallelism that specifically targets the minimization of non-productive execution time—such as task creation, synchronization, scheduling, and communication costs—incurred when decomposing and managing parallel tasks, thereby improving overall parallel efficiency.

43

Publications

1.6K

Citations

117

Authors

73

Institutions

Publications per year

2017–2026

6

Authors

117

  1. MR
    Mike Rainey

    University of Chicago, United States

    4 publications · 71 citations

    4

    h-index

  2. MF
    Matthew Fluet

    University of Chicago, United States

    2 publications · 33 citations

    2

    h-index

  3. KM
    Kamesh Madduri

    Pennsylvania State University, United States

    2 publications · 237 citations

    2

    h-index

  4. DG
    David Grove

    IBM (United States), United States

    2 publications · 53 citations

    2

    h-index

  5. AS
    Adam Shaw

    University of Chicago, United States

    2 publications · 33 citations

    2

    h-index

1–5 of 117

Venues

  1. ACM SIGPLAN Notices

    2 publications · 39 citations

    2

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  2. Journal of Functional Programming

    2 publications · 28 citations

    2

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  3. Computer

    2 publications · 28 citations

    2

    h-index

  4. arXiv (Cornell University)

    Repository · 2 publications · 61 citations

    2

    h-index

  5. 2

    h-index

1–5