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A parallel simulation technique for multicore embedded systems and its performance analysis

  • Dukyoung Yun*
  • , Sungchan Kim
  • , Soonhoi Ha
  • *Corresponding author for this work

    Research output: Contribution to journalJournal articlepeer-review

    Abstract

    A virtual prototyping system is constructed by replacing real processing components with component simulators running concurrently. The performance of such a distributed simulation decreases drastically as the number of component simulators increases. Thus, we propose a novel parallel simulation technique to boost up the simulation speed. In the proposed technique, a simulator wrapper performs time synchronization with the simulation backplane on behalf of the associated component simulator itself. Component simulators send null messages periodically to the backplane to enable parallel simulation without any causality problems. Since excessive communication may degrade the simulation performance, we also propose a novel performance analysis technique to determine an optimal period of null message transfer, considering both the characteristics of a target application and the configurations of the simulation host. Through intensive experiments, we show that the proposed parallel simulation achieves almost linear speedup to the number of processor cores if the frequency of null message transfer is optimally decided. The proposed analysis technique could predict the simulation performance with more than 90% accuracy in the worst case for various target applications and simulation environments we have used for experiments.

    Original languageEnglish
    Article number6106734
    Pages (from-to)121-131
    Number of pages11
    JournalIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
    Volume31
    Issue number1
    DOIs
    StatePublished - 2012.01

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 9 - Industry, Innovation, and Infrastructure
      SDG 9 Industry, Innovation, and Infrastructure

    Keywords

    • Distributed simulation
    • embedded system
    • multiprocessor
    • parallel simulation

    Quacquarelli Symonds(QS) Subject Topics

    • Computer Science & Information Systems
    • Engineering - Electrical & Electronic
    • Engineering - Petroleum

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