Redundant Computation

Redundant Computation is a fault-tolerant parallel algorithmic technique that belongs to the class of error-resilience strategies, specifically characterized by the intentional duplication of computational tasks across multiple processing units to ensure correct output despite potential failures in some components.

1.2K

Publications

65.9K

Citations

3.9K

Authors

1.1K

Institutions

Publications per year

2017–2026

424

Authors

3.9K

  1. ME
    Mattan Erez

    The University of Texas at Austin, United States

    7 publications · 436 citations

    7

    h-index

  2. NT
    Naofumi Takagi

    Nagoya University, Japan

    7 publications · 652 citations

    7

    h-index

  3. DH
    Doe Hyun Yoon

    The University of Texas at Austin, United States

    7 publications · 436 citations

    7

    h-index

  4. EE
    Earl E. Swartzlander

    The University of Texas at Austin, United States

    7 publications · 149 citations

    7

    h-index

  5. PK
    Peter Kornerup

    University of Southern Denmark, Denmark

    5 publications · 151 citations

    5

    h-index

1–5 of 3.9K

Venues

  1. IEEE Transactions on Computers

    40 publications · 1.6K citations

    23

    h-index

  2. arXiv (Cornell University)

    Repository · 33 publications · 2.3K citations

    20

    h-index

  3. Sensors

    11 publications · 312 citations

    11

    h-index

  4. 10

    h-index

  5. IEEE Internet of Things Journal

    10 publications · 799 citations

    10

    h-index

1–5