State Encoding Optimization

State Encoding Optimization is a method in power optimization that determines the most efficient binary encoding of finite-state machine states to minimize dynamic power consumption during state transitions.

14

Publications

271

Citations

37

Authors

16

Institutions

Publications per year

2017–2026

2

Variants

State Assignment Optimization

Authors

37

  1. SY
    SangKyun Yun

    Yonsei University, South Korea

    2 publications · 32 citations

    2

    h-index

  2. GB
    Grzegorz Borowik

    Warsaw University of Technology, Poland

    2 publications · 36 citations

    2

    h-index

  3. SK
    Srinivas Katkoori

    University of South Florida, United States

    1 publications · 41 citations

    1

    h-index

  4. MM
    Marina Moskowitz

    Apple (United States), United States

    1 publications · 22 citations

    1

    h-index

  5. DD
    D. Drusinsky-Yoresh

    Sony (Taiwan), Taiwan

    1 publications · 24 citations

    1

    h-index

1–5 of 37

Venues

  1. Journal of Low Power Electronics

    1 publications · 11 citations

    1

    h-index

  2. ISA Transactions

    1 publications · 12 citations

    1

    h-index

  3. 1

    h-index

  4. 1

    h-index

  5. IEEE Transactions on Computers

    1 publications · 18 citations

    1

    h-index

1–5