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
Link To Document :
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