Memory Power Management

Memory Power Management is a memory hierarchy optimization technique that specifically governs the power consumption of memory systems by dynamically adjusting operational states, voltage, and frequency in response to workload demands to achieve energy efficiency without significantly compromising performance.

208

Publications

10.3K

Citations

763

Authors

183

Institutions

Publications per year

2017–2026

31

Authors

763

  1. NW
    Norbert Wehn

    University of Kaiserslautern, Germany

    9 publications · 191 citations

    9

    h-index

  2. CW
    Christian Weis

    University of Kaiserslautern, Germany

    8 publications · 172 citations

    8

    h-index

  3. OM
    Onur Mutlu

    Carnegie Mellon University, United States

    8 publications · 1.4K citations

    8

    h-index

  4. MK
    Mahmut Kandemir

    Pennsylvania State University, United States

    7 publications · 947 citations

    7

    h-index

  5. MJ
    Matthias Jung

    University of Kaiserslautern, Germany

    6 publications · 139 citations

    6

    h-index

1–5 of 763

Venues

  1. IEEE Journal of Solid-State Circuits

    9 publications · 173 citations

    9

    h-index

  2. IEEE Transactions on Computers

    8 publications · 281 citations

    8

    h-index

  3. 6

    h-index

  4. ACM SIGARCH Computer Architecture News

    5 publications · 268 citations

    5

    h-index

  5. ACM SIGMETRICS Performance Evaluation Review

    PER · 3 publications · 65 citations

    3

    h-index

1–5