External Memory Matrix Multiplication

External Memory Matrix Multiplication is a computational method in external memory algorithms designed to perform matrix multiplication by optimizing data transfer between main memory and external storage, distinguishing itself from standard in-memory matrix multiplication through its explicit management of I/O complexity for large-scale matrices that exceed internal memory capacity.

6

Publications

432

Citations

9

Authors

8

Institutions

Publications per year

2017–2026

0

Authors

9

  1. RK
    Ramachandran Kannan

    Paul Scherrer Institute, Switzerland

    1 publications · 83 citations

    1

    h-index

  2. FD
    Frank Dehne

    Carleton University, Canada

    1 publications · 16 citations

    1

    h-index

  3. TE
    Todd Eavis

    Dalhousie University, Canada

    1 publications · 16 citations

    1

    h-index

  4. DA
    David A. Bailey

    NSF National Center for Atmospheric Research, United States

    1 publications · 289 citations

    1

    h-index

  5. YC
    Ying Chen

    Tsinghua University, China

    1 publications · 16 citations

    1

    h-index

1–5 of 9

Venues

  1. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 1 publications · 22 citations

    1

    h-index

  2. The Journal of Supercomputing

    1 publications · 289 citations

    1

    h-index

  3. Distributed and Parallel Databases

    1 publications · 16 citations

    1

    h-index

  4. 1

    h-index

1–4