Heterogeneous Computing

Heterogeneous computing is a computing system architecture that integrates multiple processing elements with different types, architectures, and capabilities to collectively execute computational workloads.

6.6K

Publications

318.5K

Citations

17.1K

Authors

2.7K

Institutions

Publications per year

2017–2026

2.4K

Authors

17.1K

  1. KL
    Keqin Li

    SUNY New Paltz, United States

    45 publications · 3.8K citations

    27

    h-index

  2. KL
    Kenli Li

    Hunan University, China

    44 publications · 3.1K citations

    25

    h-index

  3. JD
    Jack Dongarra

    University of Tennessee at Knoxville, United States

    39 publications · 2.7K citations

    25

    h-index

  4. HJ
    Howard Jay Siegel

    Colorado State University, United States

    52 publications · 5.3K citations

    25

    h-index

  5. YR
    Yves Robert

    École Normale Supérieure de Lyon, France

    38 publications · 1.6K citations

    23

    h-index

1–5 of 17.1K

Venues

  1. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 169 publications · 15.3K citations

    57

    h-index

  2. Journal of Parallel and Distributed Computing

    88 publications · 7.1K citations

    39

    h-index

  3. IEEE Access

    101 publications · 4.7K citations

    38

    h-index

  4. IEEE Transactions on Computers

    67 publications · 3.7K citations

    37

    h-index

  5. Future Generation Computer Systems

    FGCS · 56 publications · 2.6K citations

    32

    h-index

1–5

See also

Heterogeneous Computing

Programming Models

Architectures

Scheduling

Performance Metrics

Application Domains