Interconnect-aware Computing

Interconnect-Aware Computing is a computational methodology that optimizes performance and resource utilization in distributed heterogeneous systems by explicitly accounting for the characteristics and limitations of the underlying interconnect infrastructure when making data placement, task scheduling, and communication decisions.

15

Publications

455

Citations

55

Authors

18

Institutions

Publications per year

2017–2026

6

Authors

55

  1. KR
    Karthik Ramani

    Purdue University West Lafayette, United States

    2 publications · 156 citations

    2

    h-index

  2. NM
    Naveen Muralimanohar

    Hewlett-Packard (United States), United States

    2 publications · 156 citations

    2

    h-index

  3. RB
    Rajeev Balasubramonian

    University of Utah, United States

    2 publications · 156 citations

    2

    h-index

  4. LC
    Liqun Cheng

    Google (United States), United States

    2 publications · 156 citations

    2

    h-index

  5. AC
    Andrea Clematis

    Istituto di Matematica Applicata e Tecnologie Informatiche, Italy

    1 publications · 18 citations

    1

    h-index

1–5 of 55

Venues

  1. ACM SIGARCH Computer Architecture News

    1 publications · 106 citations

    1

    h-index

  2. Geoscientific model development

    1 publications · 21 citations

    1

    h-index

  3. IEEE Design and Test

    1 publications · 36 citations

    1

    h-index

  4. 1

    h-index

  5. IEEE Micro

    1 publications · 29 citations

    1

    h-index

1–5