Synchronous Data Parallelism

Synchronous Data Parallelism is a data parallelism strategy in which all processing units simultaneously execute the same operation across different data partitions, coordinating their progress through global synchronization barriers at each computational step.

33

Publications

1.8K

Citations

124

Authors

50

Institutions

Publications per year

2017–2026

16

Authors

124

  1. YY
    Yang You

    National University of Singapore, Singapore

    3 publications · 491 citations

    3

    h-index

  2. CH
    Cho‐Jui Hsieh

    University of California, Los Angeles, United States

    3 publications · 491 citations

    3

    h-index

  3. JD
    James Demmel

    University of California, Berkeley, United States

    3 publications · 491 citations

    3

    h-index

  4. XC
    Xiaowen Chu

    Hong Kong Baptist University, Hong Kong SAR China

    2 publications · 197 citations

    2

    h-index

  5. JA
    James Arnemann

    Flatiron Health (United States), United States

    2 publications · 146 citations

    2

    h-index

1–5 of 124

Venues

  1. arXiv (Cornell University)

    Repository · 5 publications · 155 citations

    5

    h-index

  2. Cybernetics and Systems Analysis

    1 publications · 35 citations

    1

    h-index

  3. 1

    h-index

  4. ACM Transactions on Architecture and Code Optimization

    TACO · 1 publications · 10 citations

    1

    h-index

  5. 1

    h-index

1–5