Parallel Matrix Inversion

Parallel Matrix Inversion is a computational method in numerical linear algebra that decomposes the process of computing the inverse of a matrix across multiple processing units to achieve efficiency and scalability through concurrent execution.

357

Publications

16.4K

Citations

703

Authors

306

Institutions

Publications per year

2017–2026

24

Authors

703

  1. JD
    Jack Dongarra

    University of Tennessee at Knoxville, United States

    10 publications · 248 citations

    10

    h-index

  2. AS
    Ahmed Sameh

    Purdue University West Lafayette, United States

    11 publications · 687 citations

    10

    h-index

  3. RP
    Richard P. Brent

    Australian National University, Australia

    5 publications · 280 citations

    5

    h-index

  4. RA
    Robert A. Geijn

    The University of Texas at Austin, United States

    5 publications · 263 citations

    5

    h-index

  5. FT
    Franklin T. Luk

    Cornell University, United States

    5 publications · 236 citations

    5

    h-index

1–5 of 703

Venues

  1. Parallel Computing

    34 publications · 1.3K citations

    19

    h-index

  2. SIAM Journal on Scientific Computing

    18 publications · 1.4K citations

    17

    h-index

  3. ACM Transactions on Mathematical Software

    TOMS · 12 publications · 531 citations

    11

    h-index

  4. SIAM Journal on Matrix Analysis and Applications

    10 publications · 607 citations

    10

    h-index

  5. 9

    h-index

1–5