System-level Parallelism

System-Level Parallelism is a computational paradigm that orchestrates concurrent execution across heterogeneous processing elements within a unified memory and coherence model to enable efficient, scalable, and coordinated parallelism at the hardware-software interface.

327

Publications

19.5K

Citations

1.1K

Authors

291

Institutions

Publications per year

2017–2026

28

Authors

1.1K

  1. MW
    Marianne Winslett

    University of Illinois Urbana-Champaign, United States

    4 publications · 92 citations

    4

    h-index

  2. DC
    David Culler

    University of California, Berkeley, United States

    4 publications · 643 citations

    4

    h-index

  3. GR
    Gudula Rünger

    Chemnitz University of Technology, Germany

    4 publications · 128 citations

    4

    h-index

  4. TR
    Thomas Rauber

    University of Bayreuth, Germany

    4 publications · 128 citations

    4

    h-index

  5. DP
    Daniel Peek

    University of Michigan, United States

    3 publications · 165 citations

    3

    h-index

1–5 of 1.1K

Venues

  1. Computer

    10 publications · 629 citations

    10

    h-index

  2. Journal of Parallel and Distributed Computing

    7 publications · 180 citations

    7

    h-index

  3. IBM Journal of Research and Development

    6 publications · 565 citations

    6

    h-index

  4. The Journal of Supercomputing

    6 publications · 209 citations

    6

    h-index

  5. Proceedings of the International Conference on Parallel Processing

    Conference · 4 publications · 103 citations

    4

    h-index

1–5