Parallel Tensor Decompositions

Parallel Tensor Decompositions is a computational framework within parallel numerical linear algebra that enables the efficient factorization of high-order tensors into interpretable components by leveraging distributed memory systems and algorithmic concurrency to accelerate numerical computations.

42

Publications

1.9K

Citations

109

Authors

58

Institutions

Publications per year

2017–2026

17

Authors

109

  1. MM
    Muthu Manikandan Baskaran

    Reservoir Labs (United States), United States

    5 publications · 76 citations

    5

    h-index

  2. JE
    James Ezick

    Reservoir Labs (United States), United States

    4 publications · 65 citations

    4

    h-index

  3. RL
    Richard Lethin

    Reservoir Labs (United States), United States

    4 publications · 65 citations

    4

    h-index

  4. LD
    Lieven De Lathauwer

    KU Leuven, Belgium

    4 publications · 519 citations

    4

    h-index

  5. TH
    Tom Henretty

    Reservoir Labs (United States), United States

    3 publications · 54 citations

    3

    h-index

1–5 of 109

Venues

  1. arXiv (Cornell University)

    Repository · 3 publications · 42 citations

    3

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  2. IEEE Transactions on Engineering Management

    1 publications · 27 citations

    1

    h-index

  3. CaltechAUTHORS (California Institute of Technology)

    Repository · 1 publications · 14 citations

    1

    h-index

  4. SIAM Journal on Scientific Computing

    1 publications · 18 citations

    1

    h-index

  5. 1

    h-index

1–5