Page Size Optimization

Page Size Optimization is a method within unified memory systems that determines the optimal granularity of memory pages to minimize overhead and maximize performance by balancing translation efficiency, memory utilization, and data locality.

85

Publications

3.9K

Citations

248

Authors

92

Institutions

Publications per year

2017–2026

20

Authors

248

  1. MT
    Madhusudhan Talluri

    University of Wisconsin–Madison, United States

    6 publications · 567 citations

    6

    h-index

  2. TF
    Thomas F. Wenisch

    University of Michigan, United States

    3 publications · 180 citations

    3

    h-index

  3. SI
    Shing I. Kong

    University of California, Berkeley, United States

    3 publications · 181 citations

    3

    h-index

  4. NA
    Neha Agarwal

    University of Michigan, United States

    3 publications · 180 citations

    3

    h-index

  5. AB
    Abhishek Bhattacharjee

    Rutgers, The State University of New Jersey, United States

    3 publications · 272 citations

    3

    h-index

1–5 of 248

Venues

  1. ACM SIGMOD Record

    3 publications · 196 citations

    3

    h-index

  2. ACM SIGARCH Computer Architecture News

    3 publications · 40 citations

    3

    h-index

  3. Communications of the ACM

    3 publications · 205 citations

    3

    h-index

  4. IEEE Transactions on Computers

    2 publications · 37 citations

    2

    h-index

  5. IBM Journal of Research and Development

    2 publications · 62 citations

    2

    h-index

1–5