Virtual Memory Performance Tuning

Virtual Memory Performance Tuning is a methodological framework within computer systems optimization that specifically addresses the adjustment of virtual memory management parameters—such as page size, replacement policies, and allocation strategies—to enhance system performance by minimizing page faults, reducing memory access latency, and improving overall resource utilization.

4

Publications

169

Citations

11

Authors

2

Institutions

Publications per year

2017–2026

0

Authors

11

  1. DV
    David Vengerov

    Oracle (United States), United States

    1 publications · 28 citations

    1

    h-index

  2. AZ
    Arslan Zulfiqar

    Nvidia (United States), United States

    1 publications · 18 citations

    1

    h-index

  3. NG
    Natalia Gimelshein

    Edwards Air Force Base, United States

    1 publications · 18 citations

    1

    h-index

  4. MN
    Michael N. Nelson

    Rush University Medical Center, United States

    1 publications · 27 citations

    1

    h-index

  5. YA
    Yousef A. Khalidi

    Oracle (United States), United States

    1 publications · 27 citations

    1

    h-index

1–5 of 11

Institutions

2

  1. Oracle (United States)

    Austin, United States

    1 h-index

    4 publications

    108 citations

  2. Palo Alto Research Center

    Palo Alto, United States

    1 h-index

    1 publications

    96 citations

1–2 of 2

Venues

  1. ACM Transactions on Computer Systems

    TOCS · 1 publications · 96 citations

    1

    h-index

  2. arXiv (Cornell University)

    Repository · 1 publications · 18 citations

    1

    h-index

1–2