Embedded Cache Optimization

Embedded Cache Optimization is a design methodology that belongs to the class of low-power cache design techniques, distinguished by its focus on minimizing energy consumption and area overhead in caches integrated within embedded systems through architectural and circuit-level optimizations tailored to resource-constrained environments.

27

Publications

1.1K

Citations

59

Authors

28

Institutions

Publications per year

2017–2026

2

Authors

59

  1. ND
    Nikil Dutt

    University of California, Irvine, United States

    5 publications · 321 citations

    5

    h-index

  2. RG
    Ross Gordon

    University of Florida, United States

    4 publications · 235 citations

    4

    h-index

  3. BR
    Bruce R. Childers

    University of Pittsburgh, United States

    3 publications · 97 citations

    3

    h-index

  4. PR
    Preeti Ranjan Panda

    University of California, Irvine, United States

    3 publications · 168 citations

    3

    h-index

  5. FV
    Frank Vahid

    University of California, Riverside, United States

    3 publications · 225 citations

    3

    h-index

1–5 of 59

Venues

  1. IEEE Transactions on Computers

    2 publications · 41 citations

    2

    h-index

  2. ACM Transactions on Design Automation of Electronic Systems

    TODAES · 2 publications · 151 citations

    2

    h-index

  3. Journal of Signal Processing Systems

    1 publications · 35 citations

    1

    h-index

  4. ACM Transactions on Embedded Computing Systems

    TECS · 1 publications · 11 citations

    1

    h-index

  5. IEEE Computer Architecture Letters

    1 publications · 72 citations

    1

    h-index

1–5