Kernel Tuning

Kernel Tuning is a methodological framework within performance tuning that specializes in optimizing operating system kernel parameters to enhance system efficiency, responsiveness, and resource utilization under specific workloads.

49

Publications

2.9K

Citations

169

Authors

74

Institutions

Publications per year

2017–2026

17

Variants

Kernel Parameter Tuning

Authors

169

  1. JD
    James Demmel

    University of California, Berkeley, United States

    3 publications · 603 citations

    3

    h-index

  2. RV
    Richard Vuduc

    Georgia Institute of Technology, United States

    3 publications · 603 citations

    3

    h-index

  3. PA
    Philip A. Wilsey

    University of Cincinnati, United States

    3 publications · 113 citations

    3

    h-index

  4. BV
    Ben van Werkhoven

    Netherlands eScience Center, Netherlands

    2 publications · 103 citations

    2

    h-index

  5. JD
    Jack Dongarra

    University of Tennessee at Knoxville, United States

    2 publications · 25 citations

    2

    h-index

1–5 of 169

Venues

  1. 2

    h-index

  2. Future Generation Computer Systems

    FGCS · 2 publications · 121 citations

    2

    h-index

  3. The Journal of Supercomputing

    2 publications · 59 citations

    2

    h-index

  4. Journal of Physics Conference Series

    2 publications · 504 citations

    2

    h-index

  5. arXiv (Cornell University)

    Repository · 2 publications · 57 citations

    2

    h-index

1–5