DocumentCode :
27154
Title :
Hybrid Fault Detection for Adaptive NoC
Author :
Killian, Cedric ; Tanougast, Camel ; Dandache, A.
Author_Institution :
Univ. of Lorraine, Metz, France
Volume :
5
Issue :
4
fYear :
2013
fDate :
Dec. 2013
Firstpage :
69
Lastpage :
72
Abstract :
This letter presents a hybrid approach to efficiently locating data packet errors in an adaptive network-on-chips (NoC). We propose to combine offline and online concepts based on a distributed and factorized online error detection module that will enable us to perform an efficient analysis of partial and localized area networks. This combination allows for an accurate localization of fault sources (97.79% fault coverage) by using offline detection performed at suitable moments that are defined by detecting new run-time fault occurrences through online detection. The offline error detection performed during system operation is applied in one of the reconfigurable regions maintaining the run-time NoC communications. We describe the mechanisms for efficiently associating offline and online error detection, and we evaluate performance overheads in the case of permanent data packet errors. Our approach allows to maintain a high reliability impact and NoC throughput while reducing the data packet latency.
Keywords :
fault diagnosis; multiprocessor interconnection networks; network-on-chip; adaptive NoC; adaptive network-on-chips; data packet latency; factorized online error detection module; hybrid fault detection; localized area networks; offline detection; offline error detection; online detection; performance overheads; permanent data packet errors; runtime NoC communications; runtime fault occurrences; suitable moments; Built-in self-test; Error correction codes; Fault detection; Field programmable gate arrays; Network-on-chip; Reliability; Throughput; Network-on-chip (NoC); offline and online detections; reliability;
fLanguage :
English
Journal_Title :
Embedded Systems Letters, IEEE
Publisher :
ieee
ISSN :
1943-0663
Type :
jour
DOI :
10.1109/LES.2013.2283740
Filename :
6612684
Link To Document :
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