Logic Density Optimization

Logic Density Optimization is a method in the domain of fine-grained reconfigurable architectures that enhances the amount of usable logic functionality per unit area by minimizing redundant or underutilized resources through architectural refinement and efficient mapping of computational tasks.

33

Publications

1.2K

Citations

152

Authors

23

Institutions

Publications per year

2017–2026

4

Authors

152

  1. JR
    Jonathan Rose

    University of Toronto, Canada

    4 publications · 221 citations

    4

    h-index

  2. GP
    Giles Powell

    Altera (United States), United States

    3 publications · 189 citations

    3

    h-index

  3. AE
    Abbas El Gamal

    Stanford University, United States

    3 publications · 137 citations

    3

    h-index

  4. PL
    Paul Leventis

    Altera (United States), United States

    3 publications · 189 citations

    3

    h-index

  5. JH
    Jason H. Anderson

    University of Toronto, Canada

    3 publications · 49 citations

    3

    h-index

1–5 of 152

Venues

  1. 5

    h-index

  2. IEEE Transactions on Electron Devices

    1 publications · 36 citations

    1

    h-index

  3. KTH Publication Database DiVA (KTH Royal Institute of Technology)

    Repository · 1 publications · 12 citations

    1

    h-index

  4. Applied Optics

    1 publications · 36 citations

    1

    h-index

  5. Advances in radio science

    1 publications · 20 citations

    1

    h-index

1–5