Path-Diversity-Aware Fault-Tolerant Routing Algorithm for Network-on-Chip Systems

Network-on-Chip (NoC) is the regular and scalable design architecture for chip multiprocessor (CMP) systems. With the increasing number of cores and the scaling of network in deep submicron (DSM) technology, the NoC systems become subject to manufacturing defects and have low production yield. Due t...

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Bibliographic Details
Published inIEEE transactions on parallel and distributed systems Vol. 28; no. 3; pp. 838 - 849
Main Authors Chen, Yu-Yin, Chang, En-Jui, Hsin, Hsien-Kai, Chen, Kun-Chih, Wu, An-Yeu
Format Journal Article
LanguageEnglish
Published New York IEEE 01.03.2017
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN1045-9219
1558-2183
DOI10.1109/TPDS.2016.2588482

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Summary:Network-on-Chip (NoC) is the regular and scalable design architecture for chip multiprocessor (CMP) systems. With the increasing number of cores and the scaling of network in deep submicron (DSM) technology, the NoC systems become subject to manufacturing defects and have low production yield. Due to the fault issues, the reduction in the number of available routing paths for packet delivery may cause severe traffic congestion and even to a system crash. Therefore, the fault-tolerant routing algorithm is desired to maintain the correctness of system functionality. To overcome fault problems, conventional fault-tolerant routing algorithms employ fault information and buffer occupancy information of the local regions. However, the information only provides a limited view of traffic in the network, which still results in heavy traffic congestion. To achieve fault-resilient packet delivery and traffic balancing, this work proposes a Path-Diversity-Aware Fault-Tolerant Routing (PDA-FTR) algorithm, which simultaneously considers path diversity information and buffer information. Compared with other fault-tolerant routing algorithms, the proposed work can improve average saturation throughput by 175 percent with only 8.9 percent average area overhead and 7.1 percent average power overhead.
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ISSN:1045-9219
1558-2183
DOI:10.1109/TPDS.2016.2588482