Occupancy Optimization

Occupancy Optimization is a computational strategy in GPU architecture and computing that maximizes the utilization of streaming multiprocessors by balancing thread block size, register usage, and shared memory allocation to achieve optimal warp occupancy and overall kernel performance.

23

Publications

1.2K

Citations

104

Authors

72

Institutions

Publications per year

2017–2026

6

Authors

104

  1. LC
    Li‐Wen Chang

    University of Illinois Urbana-Champaign, United States

    2 publications · 45 citations

    2

    h-index

  2. WH
    Wen‐mei Hwu

    University of Illinois Urbana-Champaign, United States

    2 publications · 45 citations

    2

    h-index

  3. DO
    D. O. Reudink

    University of Utah, United States

    2 publications · 236 citations

    2

    h-index

  4. IE
    Izzat El Hajj

    University of Illinois Urbana-Champaign, United States

    2 publications · 45 citations

    2

    h-index

  5. DM
    Dejan Milojičić

    Hewlett-Packard (United States), United States

    2 publications · 45 citations

    2

    h-index

1–5 of 104

Venues

  1. Arabian Journal for Science and Engineering

    1 publications · 14 citations

    1

    h-index

  2. Sustainable Cities and Society

    1 publications · 50 citations

    1

    h-index

  3. Blood Advances

    1 publications · 78 citations

    1

    h-index

  4. Energy

    1 publications · 21 citations

    1

    h-index

  5. The Annals of Mathematical Statistics

    1 publications · 20 citations

    1

    h-index

1–5