Memory Locality Optimization

Memory Locality Optimization is a parallel memory management technique that enhances data access efficiency by minimizing memory latency through the strategic arrangement and reuse of data in proximity to processing units, exploiting temporal and spatial locality in parallel computing environments.

342

Publications

19.1K

Citations

1K

Authors

303

Institutions

Publications per year

2017–2026

71

Authors

1K

  1. OM
    Onur Mutlu

    Carnegie Mellon University, United States

    9 publications · 1.2K citations

    9

    h-index

  2. MK
    Mahmut Kandemir

    Pennsylvania State University, United States

    9 publications · 231 citations

    9

    h-index

  3. WJ
    William J. Dally

    Stanford University, United States

    8 publications · 2.1K citations

    8

    h-index

  4. AC
    Alok Choudhary

    Northwestern University, United States

    7 publications · 187 citations

    7

    h-index

  5. JR
    J. Ramanujam

    Louisiana State University, United States

    7 publications · 201 citations

    7

    h-index

1–5 of 1K

Venues

  1. ACM SIGPLAN Notices

    9 publications · 284 citations

    9

    h-index

  2. IEEE Transactions on Computers

    8 publications · 367 citations

    8

    h-index

  3. arXiv (Cornell University)

    Repository · 7 publications · 533 citations

    7

    h-index

  4. ACM SIGARCH Computer Architecture News

    6 publications · 347 citations

    6

    h-index

  5. Parallel Computing

    5 publications · 176 citations

    5

    h-index

1–5