Parallel Processing Optimization

Parallel Processing Optimization is a computational methodology that enhances system performance by minimizing latency through the concurrent execution of interdependent tasks, distinguished from other optimization techniques by its reliance on parallelism to reduce processing time.

33

Publications

1.5K

Citations

91

Authors

53

Institutions

Publications per year

2017–2026

3

Authors

91

  1. HA
    Hojjat Adeli

    The Ohio State University, United States

    2 publications · 63 citations

    2

    h-index

  2. AL
    Alfred Ludwig

    Ruhr University Bochum, Germany

    1 publications · 64 citations

    1

    h-index

  3. JB
    Juergen Brügger

    École Polytechnique Fédérale de Lausanne, Switzerland

    1 publications · 64 citations

    1

    h-index

  4. HC
    Henk Corporaal

    Eindhoven University of Technology, Netherlands

    1 publications · 11 citations

    1

    h-index

  5. DS
    D. Schwartz

    Georgia Institute of Technology, United States

    1 publications · 13 citations

    1

    h-index

1–5 of 91

Venues

  1. IEEE Transactions on Computers

    3 publications · 269 citations

    3

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  2. Journal of Aerospace Engineering

    2 publications · 63 citations

    2

    h-index

  3. TU/e Research Portal (Eindhoven University of Technology)

    Repository · 1 publications · 11 citations

    1

    h-index

  4. Cluster Computing

    1 publications · 16 citations

    1

    h-index

  5. Measurement Science and Technology

    1 publications · 64 citations

    1

    h-index

1–5