Concepedia

In-place Reduction

In-Place Reduction is a computational optimization technique within reduction operations that performs the aggregation of data elements directly within the original memory storage, thereby minimizing memory overhead by eliminating the need for auxiliary data structures during the reduction process.

2

Publications

81

Citations

4

Authors

3

Institutions

Publications per year

2017–2026

0

Parents

Publications

2

1–3 of 2

Authors

4

  1. BS
    Brent S. Pedersen

    University of Utah, United States

    2 publications · 81 citations

    2

    h-index

  2. SJ
    Sarah J. Wheelan

    Johns Hopkins University, United States

    2 publications · 81 citations

    2

    h-index

  3. MD
    Matthew D. Shirley

    Johns Hopkins Medicine, United States

    2 publications · 81 citations

    2

    h-index

  4. ZM
    Zhaorong Ma

    Pennsylvania State University, United States

    2 publications · 81 citations

    2

    h-index

  5. NJ
    Naifeng Jing

    Shanghai Jiao Tong University, China

    1 publications · 10 citations

    0

    h-index

1–5 of 4

Institutions

3

  1. Johns Hopkins Medicine

    Baltimore, United States

    2 h-index

    4 publications

    162 citations

  2. University of Utah

    Salt Lake City, United States

    2 h-index

    2 publications

    81 citations

  3. Johns Hopkins University

    Baltimore, United States

    2 h-index

    4 publications

    162 citations

  4. University of California, Los Angeles

    Los Angeles, United States

    1 publications

    10 citations

  5. Shanghai Jiao Tong University

    Shanghai, China

    1 publications

    10 citations

1–5 of 3

Venues

1–1