Input/output Parallelism

Input/Output Parallelism is a computational design principle in input/output architecture that enables simultaneous data transfer between multiple input and output devices to enhance system throughput and efficiency by overlapping data operations that would otherwise occur sequentially.

22

Publications

885

Citations

63

Authors

39

Institutions

Publications per year

2017–2026

2

Authors

63

  1. DA
    Daniel A. Reed

    University of Illinois Urbana-Champaign, United States

    2 publications · 248 citations

    2

    h-index

  2. SG
    Sheng-Uei Guan

    National University of Singapore, Singapore

    2 publications · 66 citations

    2

    h-index

  3. YG
    Yukio‐Pegio Gunji

    Kobe University, Japan

    1 publications · 24 citations

    1

    h-index

  4. SD
    Stanislas Dehaene

    Inserm, France

    1 publications · 31 citations

    1

    h-index

  5. FD
    Fabing Duan

    Qingdao University, China

    1 publications · 15 citations

    1

    h-index

1–5 of 63

Venues

  1. Performance Evaluation

    2 publications · 92 citations

    2

    h-index

  2. IEEE Transactions on Neural Networks

    2 publications · 66 citations

    2

    h-index

  3. Micromachines

    1 publications · 31 citations

    1

    h-index

  4. Journal of Power Electronics

    JPE · 1 publications · 11 citations

    1

    h-index

  5. IEEE Transactions on Computers

    1 publications · 19 citations

    1

    h-index

1–5