Performance-aware Partitioning

Performance-Aware Partitioning is a hardware-software partitioning methodology that integrates performance metrics as primary optimization criteria to guide the allocation of system functions into hardware and software components, distinguishing itself by explicitly prioritizing execution efficiency, latency, and throughput in the partitioning decision process.

54

Publications

1.5K

Citations

163

Authors

60

Institutions

Publications per year

2017–2026

9

Authors

163

  1. JM
    Juan M. Orduña

    Universitat de València, Spain

    3 publications · 135 citations

    3

    h-index

  2. JD
    J. Duato

    Universitat Politècnica de València, Spain

    3 publications · 135 citations

    3

    h-index

  3. MS
    M. Shih

    University of California, Berkeley, United States

    2 publications · 59 citations

    2

    h-index

  4. PM
    Pedro Morillo

    Universitat de València, Spain

    2 publications · 123 citations

    2

    h-index

  5. CC
    Chung‐Kuan Cheng

    University of California San Diego, United States

    2 publications · 167 citations

    2

    h-index

1–5 of 163

Venues

  1. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 4 publications · 164 citations

    4

    h-index

  2. Proceedings of the VLDB Endowment

    PVLDB · 2 publications · 88 citations

    2

    h-index

  3. 2

    h-index

  4. UR Research (University of Rochester)

    Repository · 1 publications · 12 citations

    1

    h-index

  5. 1

    h-index

1–5