Parallel Matrix Decomposition

Parallel Matrix Decomposition is a computational method in numerical linear algebra that factorizes a matrix into constituent components using parallel algorithms to distribute and synchronize operations across multiple processing units for improved efficiency and scalability.

207

Publications

8.7K

Citations

447

Authors

234

Institutions

Publications per year

2017–2026

21

Authors

447

  1. JD
    Jack Dongarra

    University of Tennessee at Knoxville, United States

    8 publications · 301 citations

    8

    h-index

  2. GS
    Gesualdo Scutari

    Sapienza University of Rome, Italy

    4 publications · 115 citations

    4

    h-index

  3. FF
    Francisco Facchinei

    Sapienza University of Rome, Italy

    4 publications · 115 citations

    4

    h-index

  4. MV
    Marián Vajteršic

    Slovak Academy of Sciences, Slovakia

    4 publications · 118 citations

    4

    h-index

  5. GO
    Gabriel Okša

    Slovak Academy of Sciences, Slovakia

    4 publications · 118 citations

    4

    h-index

1–5 of 447

Venues

  1. Parallel Computing

    24 publications · 747 citations

    16

    h-index

  2. Journal of Parallel and Distributed Computing

    7 publications · 362 citations

    7

    h-index

  3. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 6 publications · 658 citations

    6

    h-index

  4. SIAM Journal on Scientific Computing

    5 publications · 152 citations

    5

    h-index

  5. arXiv (Cornell University)

    Repository · 4 publications · 59 citations

    4

    h-index

1–5