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Online Traffic-Aware Fault Detection for Networks-on-Chip

Liu, J, Harkin, Jim, Li, Yuhua and Maguire, LP (2013) Online Traffic-Aware Fault Detection for Networks-on-Chip. Journal of Parallel and Distributed Systems, N/A . [Journal article]

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URL: http://www.journals.elsevier.com/journal-of-parallel-and-distributed-computing/

DOI: 10.1016/j.jpdc.2013.09.001


A key requirement for modern Networks-on-Chip (NoC) is the ability to detect and diagnose faults and failures. This paper addresses the challenge of fault diagnosis using online testing where the interruption of the runtime operation (performance) under diagnosis is minimised. A novel Monitor Module (MM) is proposed to detect NoC interconnect faults which minimise the intrusion of the regular NoC traffic throughput by (1) using a channel tester which only examines NoC channels when they are idle; and (2) using a testing interval parameter based on the Binary Exponential Back off algorithm to dynamically balance the level of testing when recovering from temporary faults. The paper presents results on the minimal impact on NoC throughput for a range of testing conditions and also highlights the minimal area overhead of the MM (11.56%) compared with an adaptive NoC router implemented on FPGA hardware. Simulation results demonstrate non-intrusion of the NoC runtime traffic throughput when channel are fault free, and also how throughput loss is minimised when faults are identified.

Item Type:Journal article
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Research Institutes and Groups:Computer Science Research Institute > Intelligent Systems Research Centre
Computer Science Research Institute
ID Code:27246
Deposited By: Dr Jim Harkin
Deposited On:25 Sep 2013 13:39
Last Modified:25 Sep 2013 13:39

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