Data Hazard Handling

Data Hazard Handling is a processor microarchitecture technique that resolves dependencies between instructions caused by overlapping execution in pipelined processors by ensuring correct data availability before instruction completion.

5

Publications

79

Citations

23

Authors

12

Institutions

Publications per year

2017–2026

1

Authors

23

  1. AS
    Aviral Shrivastava

    Arizona State University, United States

    1 publications · 25 citations

    1

    h-index

  2. SC
    Shyh-Kwei Chen

    IBM (United States), United States

    1 publications · 12 citations

    1

    h-index

  3. MG
    Michelangelo Grosso

    Politecnico di Torino, Italy

    1 publications · 20 citations

    1

    h-index

  4. NJ
    Neal J. Alewine

    University of Illinois Urbana-Champaign, United States

    1 publications · 12 citations

    1

    h-index

  5. AN
    Alex Nicolau

    University of California, Irvine, United States

    1 publications · 25 citations

    1

    h-index

1–5 of 23

Venues

  1. IEEE Transactions on Computers

    1 publications · 12 citations

    1

    h-index

1–1