Performance Scalability

Performance Scalability is a performance metric that quantifies the ability of a parallel system to increase computational speed proportionally with the addition of processing cores under a fixed problem size.

352

Publications

18.6K

Citations

1.2K

Authors

374

Institutions

Publications per year

2017–2026

65

Authors

1.2K

  1. XS
    Xian‐He Sun

    Illinois Institute of Technology, United States

    5 publications · 306 citations

    5

    h-index

  2. JS
    Jeffrey S. Vetter

    Oak Ridge National Laboratory, United States

    5 publications · 306 citations

    5

    h-index

  3. DA
    Daniel A. Reed

    University of Illinois Urbana-Champaign, United States

    4 publications · 121 citations

    4

    h-index

  4. ML
    Minghong Lin

    California Institute of Technology, United States

    3 publications · 179 citations

    3

    h-index

  5. XL
    Xuemin Lin

    UNSW Sydney, Australia

    3 publications · 152 citations

    3

    h-index

1–5 of 1.2K

Venues

  1. arXiv (Cornell University)

    Repository · 10 publications · 275 citations

    10

    h-index

  2. Computer

    6 publications · 684 citations

    6

    h-index

  3. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 6 publications · 813 citations

    6

    h-index

  4. Journal of Parallel and Distributed Computing

    5 publications · 306 citations

    5

    h-index

  5. ACM SIGPLAN Notices

    5 publications · 207 citations

    5

    h-index

1–5