Simple one-to-one architecture for parallel execution of embedded control systems

Riku Nakamura, Fumio Arakawa, Masato Edahiro

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

We propose in this paper a simple architecture for efficient execution of embedded control systems using a model-based design to which automatic parallelization is also applicable. This architecture makes use of the advantages of embedded control systems in the sense of parallel execution, and reduces their disadvantages by incurring minimal overhead from task scheduling and inter-task communication. With a model predictive control application, our architecture achieves communication latency 20 times faster than in current real-time OS communication methods for many cores. Moreover, our architecture achieves a speed-up for 64 cores that is 40 times that in single core execution, while its performance scalability is saturated up to 32 cores in real-time OS communication.

Original languageEnglish
Title of host publicationProceedings - 2nd IEEE International Conference on Cyber-Physical Systems, Networks, and Applications, CPSNA 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages25-30
Number of pages6
ISBN (Electronic)9781479953875
DOIs
Publication statusPublished - 2014 Nov 18
Externally publishedYes
Event2nd IEEE International Conference on Cyber-Physical Systems, Networks, and Applications, CPSNA 2014 - Hong Kong, China
Duration: 2014 Aug 252014 Aug 26

Publication series

NameProceedings - 2nd IEEE International Conference on Cyber-Physical Systems, Networks, and Applications, CPSNA 2014

Conference

Conference2nd IEEE International Conference on Cyber-Physical Systems, Networks, and Applications, CPSNA 2014
Country/TerritoryChina
CityHong Kong
Period14/8/2514/8/26

Keywords

  • communication
  • embedded control
  • many-core
  • model-based design
  • multi-core
  • parallelize

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications

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