Collective Communication Optimization

Collective Communication Optimization is a systematic approach within cloud data center networking that enhances the efficiency of collective communication operations by minimizing latency and maximizing resource utilization through algorithmic and architectural refinements.

62

Publications

3.9K

Citations

178

Authors

78

Institutions

Publications per year

2017–2026

8

Authors

178

  1. TH
    Torsten Hoefler

    ETH Zurich, Switzerland

    9 publications · 318 citations

    9

    h-index

  2. GE
    Graham E. Fagg

    University of Tennessee at Knoxville, United States

    5 publications · 567 citations

    5

    h-index

  3. JD
    Jack Dongarra

    University of Tennessee at Knoxville, United States

    5 publications · 567 citations

    5

    h-index

  4. RA
    Robert A. Geijn

    The University of Texas at Austin, United States

    5 publications · 477 citations

    5

    h-index

  5. TS
    Timo Schneider

    ETH Zurich, Switzerland

    4 publications · 107 citations

    4

    h-index

1–5 of 178

Venues

  1. 3

    h-index

  2. Journal of Parallel and Distributed Computing

    2 publications · 27 citations

    2

    h-index

  3. 2

    h-index

  4. The Journal of Supercomputing

    2 publications · 114 citations

    2

    h-index

  5. Parallel Computing

    2 publications · 133 citations

    2

    h-index

1–5