Run-time Mapping

Run-Time Mapping is a dynamic computational process in adaptive hardware systems that allocates and optimizes task-to-resource bindings during program execution, distinguished from static mapping by its ability to respond to real-time changes in workload, performance demands, or hardware conditions.

152

Publications

5.1K

Citations

475

Authors

181

Institutions

Publications per year

2017–2026

13

Authors

475

  1. AK
    Amit Kumar Singh

    University of Essex, United Kingdom

    13 publications · 534 citations

    12

    h-index

  2. AK
    Akash Kumar

    Technische Universität Dresden, Germany

    8 publications · 370 citations

    8

    h-index

  3. TS
    Thambipillai Srikanthan

    Nanyang Technological University, Singapore

    8 publications · 373 citations

    8

    h-index

  4. JL
    Johann L. Hurink

    University of Twente, Netherlands

    7 publications · 242 citations

    7

    h-index

  5. SW
    Stefan Wildermann

    Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

    7 publications · 148 citations

    7

    h-index

1–5 of 475

Venues

  1. IEEE Transactions on Computers

    5 publications · 227 citations

    5

    h-index

  2. 3

    h-index

  3. ACM Transactions on Embedded Computing Systems

    TECS · 3 publications · 125 citations

    3

    h-index

  4. Parallel Computing

    2 publications · 73 citations

    2

    h-index

  5. Journal of Systems Architecture

    JSA · 2 publications · 143 citations

    2

    h-index

1–5