Heterogeneous Memory Systems

Heterogeneous Memory Systems is a memory architecture that integrates multiple types of memory technologies with distinct performance, power, and capacity characteristics into a unified address space to optimize data access efficiency in GPU computing environments.

110

Publications

5.5K

Citations

340

Authors

116

Institutions

Publications per year

2017–2026

55

Authors

340

  1. AG
    Ada Gavrilovska

    Georgia Institute of Technology, United States

    5 publications · 208 citations

    5

    h-index

  2. DL
    Dong Li

    University of California, Merced, United States

    5 publications · 182 citations

    5

    h-index

  3. XL
    Xu Liu

    William & Mary, United States

    4 publications · 121 citations

    4

    h-index

  4. DN
    David Nellans

    University of Michigan, United States

    4 publications · 313 citations

    4

    h-index

  5. IP
    Ivy Peng

    KTH Royal Institute of Technology, Sweden

    4 publications · 85 citations

    4

    h-index

1–5 of 340

Venues

  1. IEEE Transactions on Computers

    4 publications · 75 citations

    4

    h-index

  2. arXiv (Cornell University)

    Repository · 4 publications · 139 citations

    4

    h-index

  3. ACM SIGARCH Computer Architecture News

    3 publications · 38 citations

    3

    h-index

  4. IEEE Micro

    2 publications · 48 citations

    2

    h-index

  5. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 2 publications · 112 citations

    2

    h-index

1–5