Pipeline Simulation

Pipeline Simulation is a computational modeling technique that belongs to the class of performance prediction methods in distributed computing, specifically characterized by its focus on emulating the behavior and throughput of pipeline-parallel execution stages in deep learning training workflows.

49

Publications

3.1K

Citations

172

Authors

86

Institutions

Publications per year

2017–2026

15

Authors

172

  1. BC
    Brad Calder

    University of California San Diego, United States

    10 publications · 1.4K citations

    10

    h-index

  2. EP
    Erez Perelman

    University of California San Diego, United States

    6 publications · 1.1K citations

    6

    h-index

  3. TS
    Timothy Sherwood

    University of California, Santa Barbara, United States

    5 publications · 819 citations

    5

    h-index

  4. GH
    Greg Hamerly

    University of California San Diego, United States

    5 publications · 745 citations

    5

    h-index

  5. MV
    Michael Van Biesbrouck

    University of California San Diego, United States

    3 publications · 392 citations

    3

    h-index

1–5 of 172

Venues

  1. Industrial & Engineering Chemistry Research

    2 publications · 36 citations

    2

    h-index

  2. ACM SIGMETRICS Performance Evaluation Review

    PER · 2 publications · 168 citations

    2

    h-index

  3. 2

    h-index

  4. Physical review. D/Physical review. D.

    PRD · 1 publications · 74 citations

    1

    h-index

  5. International Journal of Electronics

    1 publications · 14 citations

    1

    h-index

1–5