Topology-aware Mapping

Topology-Aware Mapping is a distributed memory parallelism technique that assigns computational tasks to processing units in accordance with the underlying hardware topology to minimize communication overhead and maximize data locality.

84

Publications

7.7K

Citations

228

Authors

113

Institutions

Publications per year

2017–2026

11

Authors

228

  1. LV
    Laxmikant V. Kalé

    University of Illinois Urbana-Champaign, United States

    12 publications · 537 citations

    12

    h-index

  2. AB
    Abhinav Bhatelé

    Lawrence Livermore National Laboratory, United States

    12 publications · 527 citations

    12

    h-index

  3. DW
    David Wetherall

    University of Washington, United States

    4 publications · 2.9K citations

    4

    h-index

  4. NS
    Neil Spring

    University of Maryland, College Park, United States

    4 publications · 2.9K citations

    4

    h-index

  5. RM
    Ratul Mahajan

    Microsoft (United States), United States

    4 publications · 2.9K citations

    4

    h-index

1–5 of 228

Venues

  1. Microprocessors and Microsystems

    MICPRO · 3 publications · 87 citations

    3

    h-index

  2. Parallel Processing Letters

    2 publications · 62 citations

    2

    h-index

  3. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 2 publications · 79 citations

    2

    h-index

  4. ACM SIGCOMM Computer Communication Review

    CCR · 2 publications · 973 citations

    2

    h-index

  5. Computers & Graphics

    1 publications · 29 citations

    1

    h-index

1–5