• Title of article

    Online Network-on-Chip Switch Fault Detection and Diagnosis Using Functional Switch Faults

  • Author/Authors

    Karimi, Naghmeh university of tehran - School of Electrical and Computer Engineering, تهران, ايران , Alaghi, Armin university of tehran - School of Electrical and Computer Engineering, تهران, ايران , Sedghi, Mahshid university of tehran - School of Electrical and Computer Engineering, تهران, ايران , Navabi, Zainalabedin university of tehran - School of Electrical and Computer Engineering - Microelectronics Centre of Excellence, تهران, ايران

  • From page
    3716
  • To page
    3736
  • Abstract
    This paper presents efficient methods for online fault detection and diagnosis of Network-on-Chip (NoC) switches. The fault model considered in this research is a system level fault model based on the generic properties of NoC switch functionality. The proposed method is evaluated by fault simulation in a platform using this system level fault model. The experimental results show that with a relatively low area overhead, a large number of NoC switch faults can be detected and diagnosed.
  • Keywords
    Network , on , Chip , Switch , Online Testing , Functional Fault Model , Fault Diagnosis.
  • Journal title
    Journal of J.UCS (Journal of Universal Computer Science)
  • Journal title
    Journal of J.UCS (Journal of Universal Computer Science)
  • Record number

    2661100