Memory Scaling

Memory Scaling is a methodological framework in computer architecture that systematically enhances memory capacity, bandwidth, or efficiency through scalable design principles to meet growing computational demands.

327

Publications

21.9K

Citations

1.4K

Authors

279

Institutions

Publications per year

2017–2026

95

Authors

1.4K

  1. OM
    Onur Mutlu

    Carnegie Mellon University, United States

    14 publications · 3.4K citations

    14

    h-index

  2. NJ
    Nuwan Jayasena

    Advanced Micro Devices (Canada), Canada

    6 publications · 821 citations

    6

    h-index

  3. Eİ
    Engin İpek

    University of Rochester, United States

    6 publications · 2.4K citations

    6

    h-index

  4. YZ
    Youtao Zhang

    University of Pittsburgh, United States

    6 publications · 514 citations

    6

    h-index

  5. DB
    David Blaauw

    University of Michigan, United States

    5 publications · 279 citations

    5

    h-index

1–5 of 1.4K

Venues

  1. IEEE Transactions on Electron Devices

    9 publications · 597 citations

    9

    h-index

  2. ACM SIGARCH Computer Architecture News

    8 publications · 624 citations

    8

    h-index

  3. IEEE Micro

    7 publications · 872 citations

    7

    h-index

  4. arXiv (Cornell University)

    Repository · 7 publications · 394 citations

    7

    h-index

  5. IEEE Journal of Solid-State Circuits

    6 publications · 517 citations

    6

    h-index

1–5