Concepedia

Partitioning Of Data Processing Pipelines

Partitioning of Data Processing Pipelines is a methodological framework within hardware-software partitioning that systematically decomposes a data processing workflow into distinct functional segments and allocates them between hardware and software components to optimize performance, power efficiency, and resource utilization.

15

Publications

358

Citations

49

Authors

27

Institutions

Publications per year

2017–2026

4

Parents

Publications

15

Scheduling and hardware sharing in pipelined data paths

Ki Soo Hwang, Albert E. Casavant, Ching-Tang Chang et al. · 2003 · 94 citations

, , +14

Automatically partitioning packet processing applications for pipelined architectures

Jinquan Dai, Bo Huang, Long Li et al. · ACM SIGPLAN Notices · 2005 · 54 citations

, , +16

Automatically partitioning packet processing applications for pipelined architectures

Jinquan Dai, Bo Huang, Long Li et al. · 2005 · 31 citations

, , +16

DRIPS: Dynamic Rebalancing of Pipelined Streaming Applications on CGRAs

Cheng Tan, Nícolas Bohm Agostini, Tong Geng et al. · 2022 · 23 citations

, , +17

PDD: Partitioning DAG-Topology DNNs for Streaming Tasks

Liantao Wu, Guoliang Gao, Jing Yu et al. · IEEE Internet of Things Journal · 2023 · 21 citations

, , +13

1–5 of 15

Authors

49

  1. LH
    Luddy Harrison

    University of Illinois Urbana-Champaign, United States

    2 publications · 85 citations

    2

    h-index

  2. JD
    Jinquan Dai

    Intel (United States), United States

    2 publications · 85 citations

    2

    h-index

  3. BH
    Bo Huang

    Intel (United States), United States

    2 publications · 85 citations

    2

    h-index

  4. LL
    Long Li

    University of Illinois Urbana-Champaign, United States

    1 publications · 54 citations

    1

    h-index

  5. CL
    Chih‐Wei Liu

    National Yang Ming Chiao Tung University, Taiwan

    1 publications · 20 citations

    1

    h-index

1–5 of 49

Institutions

27

  1. University of Illinois Urbana-Champaign

    Urbana, United States

    2 h-index

    2 publications

    85 citations

  2. Technische Universität Berlin

    Berlin, Germany

    1 h-index

    4 publications

    44 citations

  3. University of Southern California

    Los Angeles, United States

    1 h-index

    2 publications

    26 citations

  4. ETH Zurich

    Zurich, Switzerland

    1 h-index

    2 publications

    26 citations

  5. Shanghai Key Laboratory of Trustworthy Computing

    Shanghai, China

    1 h-index

    1 publications

    21 citations

  6. ShanghaiTech University

    Shanghai, China

    1 h-index

    3 publications

    63 citations

  7. Hong Kong University of Science and Technology

    Hong Kong, Hong Kong

    1 h-index

    1 publications

    21 citations

  8. Universidade Estadual de Campinas (UNICAMP)

    Campinas, Brazil

    1 h-index

    2 publications

    22 citations

1–8 of 27

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 1 publications · 11 citations

    1

    h-index

  2. Earth Science Informatics

    1 publications · 12 citations

    1

    h-index

  3. Computers & Chemical Engineering

    1 publications · 19 citations

    1

    h-index

  4. IEEE Internet of Things Journal

    1 publications · 21 citations

    1

    h-index

  5. 1

    h-index

1–5