JUCS - Journal of Universal Computer Science 14(22): 3716-3736, doi: 10.3217/jucs-014-22-3716
Online Network-on-Chip Switch Fault Detection and Diagnosis Using Functional Switch Faults
expand article infoNaghmeh Karimi, Armin Alaghi, Mahshid Sedghi, Zainalabedin Navabi
‡ University of Tehran, Tehran, Iran
Open Access
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.
network-on-chip, switch, online testing, functional fault model, fault diagnosis