Pipeline Batching

Pipeline Batching is a computational optimization technique in graphics and machine learning systems that groups sequential operations into unified execution units to minimize pipeline stalls and maximize throughput by reducing per-task overhead and improving resource utilization across processing stages.

4

Publications

370

Citations

24

Authors

12

Institutions

Publications per year

2017–2026

2

Authors

24

  1. FY
    Fan Yang

    University of Science and Technology of China, China

    1 publications · 160 citations

    1

    h-index

  2. HG
    Hassan Ghazal

    Mohammed V University, Morocco

    1 publications · 25 citations

    1

    h-index

  3. DP
    Dennis P. Wall

    Stanford University, United States

    1 publications · 25 citations

    1

    h-index

  4. ER
    Ettore Rizzo

    University of Pavia, Italy

    1 publications · 25 citations

    1

    h-index

  5. YC
    Youmin Chen

    Tsinghua University, China

    1 publications · 160 citations

    1

    h-index

1–5 of 24

Venues

  1. BMC Medical Genomics

    1 publications · 25 citations

    1

    h-index

  2. Industrial & Engineering Chemistry Research

    1 publications · 21 citations

    1

    h-index

1–2