Hardware task migration module for improved fault tolerance and predictability

Research output: Contribution to book/conference proceedings/anthology/reportConference contributionContributedpeer-review

Contributors

  • Shyamsundar Venkataraman - , National University of Singapore (Author)
  • Rui Santos - , National University of Singapore (Author)
  • Akash Kumar - , National University of Singapore (Author)
  • Jasper Kuijsten - , Eindhoven University of Technology (Author)

Abstract

Task migration has been applied as an efficient mechanism to handle faulty processing elements (PEs) in Multi-processor Systems-on-Chip (MPSoCs). However, current task migration solutions are either implemented or emulated in software, compromising intrinsically the predictability and degrading the system robustness. Moreover, the initial placement and mapping of the tasks in the MPSoC plays an important role in minimising the task migration overhead and overall system energy. This paper proposes a hardware-based task migration scheme for MPSoC systems, offering better predictability as well as an improved method of fault tolerance. The proposed scheme intelligently generates an initial placement for the tasks with improved fault tolerance and stores these mappings on a hash map, which is looked up at run-time as and when faults occur. Compared with the state-of-the-art, our scheme performs up to 1500× faster task migration without any significant overheads.

Details

Original languageEnglish
Title of host publicationProceedings - 2015 International Conference on Embedded Computer Systems
EditorsLuigi Carro, Dimitrios Soudris
PublisherIEEE, New York [u. a.]
Pages197-202
Number of pages6
ISBN (electronic)9781467373111
Publication statusPublished - 22 Dec 2015
Peer-reviewedYes
Externally publishedYes

Publication series

SeriesInternational Conference on Embedded Computer Systems: Architectures, Modeling and Simulation (IC-SAMOS)

Conference

Title15th International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation, SAMOS 2015
Duration20 - 23 July 2015
CitySamos
CountryGreece