Distributed Linear Algebra

Distributed Linear Algebra is a computational framework within distributed memory parallelism that enables the scalable execution of linear algebra operations across multiple processing units by partitioning matrices and vectors and coordinating computations through message passing.

295

Publications

17.6K

Citations

642

Authors

257

Institutions

Publications per year

2017–2026

110

Authors

642

  1. JD
    Jack Dongarra

    University of Tennessee at Knoxville, United States

    13 publications · 1.4K citations

    12

    h-index

  2. DW
    David Walker

    Cardiff University, United Kingdom

    10 publications · 1.3K citations

    10

    h-index

  3. SM
    Shaoshuai Mou

    Purdue University West Lafayette, United States

    10 publications · 710 citations

    10

    h-index

  4. AS
    A. Stephen Morse

    Yale University, United States

    10 publications · 693 citations

    10

    h-index

  5. JD
    James Demmel

    University of California, Berkeley, United States

    10 publications · 1K citations

    10

    h-index

1–5 of 642

Venues

  1. arXiv (Cornell University)

    Repository · 23 publications · 945 citations

    15

    h-index

  2. IEEE Transactions on Information Theory

    10 publications · 740 citations

    10

    h-index

  3. Parallel Computing

    7 publications · 367 citations

    7

    h-index

  4. Journal of Parallel and Distributed Computing

    6 publications · 372 citations

    6

    h-index

  5. IEEE Transactions on Automatic Control

    6 publications · 525 citations

    6

    h-index

1–5