Online Network-on-Chip Switch Fault Detection and Diagnosis Using Functional Switch Faults
Naghmeh Karimi (University of Tehran, Iran)
Armin Alaghi (University of Tehran, Iran)
Mahshid Sedghi (University of Tehran, Iran)
Zainalabedin Navabi (University of Tehran, Iran)
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: fault diagnosis, functional fault model, network-on-chip, online testing, switch
Categories: B.4.3, B.4.5, B.8.1