Scalable Computing

Scalable Computing is a distributed computing paradigm that enables systems to maintain proportional performance and efficiency as workload or system规模 increases by dynamically accommodating additional resources.

597

Publications

56.5K

Citations

2.3K

Authors

609

Institutions

Publications per year

2017–2026

173

Authors

2.3K

  1. JD
    Jack Dongarra

    University of Tennessee at Knoxville, United States

    7 publications · 284 citations

    7

    h-index

  2. IF
    Ian Foster

    Argonne National Laboratory, United States

    6 publications · 341 citations

    6

    h-index

  3. AS
    Alexander S. Szalay

    Johns Hopkins University, United States

    6 publications · 388 citations

    6

    h-index

  4. GB
    Gordon Bell

    Microsoft (United States), United States

    5 publications · 265 citations

    5

    h-index

  5. AB
    Amnon Barak

    Hebrew University of Jerusalem, Israel

    5 publications · 236 citations

    5

    h-index

1–5 of 2.3K

Venues

  1. arXiv (Cornell University)

    Repository · 17 publications · 612 citations

    13

    h-index

  2. Physical Review Letters

    PRL · 10 publications · 1.7K citations

    10

    h-index

  3. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 9 publications · 313 citations

    9

    h-index

  4. Computing in Science & Engineering

    9 publications · 306 citations

    9

    h-index

  5. Computer

    8 publications · 505 citations

    8

    h-index

1–5