High-performance Computing Performance

High-Performance Computing Performance is a scholarly construct in the domain of Performance Architecture that denotes the measurable efficiency and scalability of computational systems in executing complex, data-intensive tasks at extreme scales, distinguished by its focus on optimizing hardware utilization, parallel processing capabilities, and algorithmic throughput within high-performance computing environments.

1.2K

Publications

74.9K

Citations

4.7K

Authors

992

Institutions

Publications per year

2017–2026

288

Authors

4.7K

  1. JD
    Jack Dongarra

    University of Tennessee at Knoxville, United States

    19 publications · 2.3K citations

    17

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  2. DK
    Dhabaleswar K. Panda

    The Ohio State University, United States

    13 publications · 640 citations

    12

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  3. HD
    Horst D. Simon

    Lawrence Berkeley National Laboratory, United States

    11 publications · 603 citations

    11

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  4. JS
    John Shalf

    Lawrence Berkeley National Laboratory, United States

    10 publications · 388 citations

    10

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  5. RR
    Robert Ross

    Argonne National Laboratory, United States

    10 publications · 611 citations

    10

    h-index

1–5 of 4.7K

Venues

  1. 16

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  2. 12

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  3. Journal of Physics Conference Series

    13 publications · 850 citations

    12

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  4. Computing in Science & Engineering

    12 publications · 359 citations

    12

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  5. Parallel Computing

    14 publications · 427 citations

    12

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1–5