Input/output Aggregation

Input/Output Aggregation is a computational method in parallel input/output systems that consolidates multiple data streams or operations into a unified format or structure to enhance throughput, reduce latency, and minimize the number of I/O operations by exploiting temporal and spatial locality.

50

Publications

1.8K

Citations

129

Authors

72

Institutions

Publications per year

2017–2026

6

Authors

129

  1. DT
    Darold T. Barnum

    University of Illinois Chicago, United States

    4 publications · 64 citations

    4

    h-index

  2. TG
    Thomas Gaiser

    University of Bonn, Germany

    3 publications · 87 citations

    3

    h-index

  3. JM
    John M. Gleason

    Creighton University, United States

    3 publications · 47 citations

    3

    h-index

  4. FE
    Frank Ewert

    University of Bonn, Germany

    3 publications · 87 citations

    3

    h-index

  5. JC
    Julie Constantin

    AGroécologie, Innovations, teRritoires, France

    2 publications · 55 citations

    2

    h-index

1–5 of 129

Venues

  1. Applied Economics Letters

    5 publications · 111 citations

    5

    h-index

  2. Econometrica

    5 publications · 232 citations

    5

    h-index

  3. The Review of Economics and Statistics

    5 publications · 272 citations

    5

    h-index

  4. Environment and Planning A Economy and Space

    3 publications · 73 citations

    3

    h-index

  5. Economic Systems Research

    4 publications · 114 citations

    3

    h-index

1–5