Weak Scalability

Weak Scalability is a scalability property in parallel computing that characterizes the ability of a system or algorithm to maintain constant efficiency as both the problem size and the number of processing elements increase proportionally.

34

Publications

2K

Citations

132

Authors

65

Institutions

Publications per year

2017–2026

13

Authors

132

  1. MB
    Marco Berghoff

    Karlsruhe Institute of Technology, Germany

    2 publications · 46 citations

    2

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  2. NO
    Naoyuki Onodera

    Tokyo Institute of Technology, Japan

    2 publications · 49 citations

    2

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  3. FS
    Florian Schornbaum

    Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

    2 publications · 46 citations

    2

    h-index

  4. TA
    Takayuki Aoki

    Tokyo Institute of Technology, Japan

    2 publications · 49 citations

    2

    h-index

  5. MB
    Martin Bauer

    Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

    2 publications · 46 citations

    2

    h-index

1–5 of 132

Venues

  1. SIAM Journal on Scientific Computing

    5 publications · 366 citations

    5

    h-index

  2. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 3 publications · 121 citations

    3

    h-index

  3. arXiv (Cornell University)

    Repository · 2 publications · 39 citations

    2

    h-index

  4. IEEE Access

    1 publications · 261 citations

    1

    h-index

  5. Journal of Physics Conference Series

    1 publications · 13 citations

    1

    h-index

1–5