Compute Scalability

Compute Scalability is a performance characteristic in scalability analysis that denotes the capacity of a computational system, model, or algorithm to maintain or improve its efficiency and effectiveness in processing tasks as the available computing resources are proportionally increased.

12

Publications

721

Citations

38

Authors

26

Institutions

Publications per year

2017–2026

3

Authors

38

  1. WK
    Wee Keong Ng

    Nanyang Technological University, Singapore

    2 publications · 41 citations

    2

    h-index

  2. YS
    Yana Samuel

    Rutgers, The State University of New Jersey, United States

    2 publications · 21 citations

    2

    h-index

  3. PS
    Pradeep Subedi

    Rutgers, The State University of New Jersey, United States

    2 publications · 21 citations

    2

    h-index

  4. MB
    Margaret Brennan‐Tonetta

    Rutgers, The State University of New Jersey, United States

    2 publications · 21 citations

    2

    h-index

  5. JA
    Jack A. Smith

    Rutgers, The State University of New Jersey, United States

    2 publications · 21 citations

    2

    h-index

1–5 of 38

Venues

  1. 1

    h-index

  2. Procedia - Social and Behavioral Sciences

    1 publications · 422 citations

    1

    h-index

  3. PubMed

    Repository · 1 publications · 33 citations

    1

    h-index

  4. SSRN Electronic Journal

    Repository · 1 publications · 11 citations

    1

    h-index

  5. 1

    h-index

1–5