Parallel Gaussian Elimination

Parallel Gaussian Elimination is a parallel algorithmic method in numerical linear algebra that extends the classical Gaussian elimination by distributing computational tasks across multiple processing units to solve systems of linear equations more efficiently through concurrent row operations and pivot selections.

49

Publications

1.6K

Citations

92

Authors

48

Institutions

Publications per year

2017–2026

0

Authors

92

  1. YR
    Yves Robert

    École Normale Supérieure de Lyon, France

    5 publications · 212 citations

    5

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  2. JK
    Jean‐Claude König

    Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier, France

    2 publications · 49 citations

    2

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  3. AB
    Andrey Bogdanov

    Technical University of Denmark, Denmark

    2 publications · 91 citations

    2

    h-index

  4. DT
    Denis Trystram

    Université Grenoble Alpes, France

    2 publications · 124 citations

    2

    h-index

  5. RN
    R. Nassar W. Dai

    2 publications · 38 citations

    2

    h-index

1–5 of 92

Venues

  1. Parallel Computing

    8 publications · 293 citations

    9

    h-index

  2. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 3 publications · 291 citations

    3

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  3. Numerical Heat Transfer Part A Applications

    3 publications · 50 citations

    3

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  4. IEEE Transactions on Computers

    2 publications · 105 citations

    2

    h-index

  5. Journal of Parallel and Distributed Computing

    2 publications · 38 citations

    2

    h-index

1–5