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Biologically Inspired Network on Chip Fault Tolerant Algorithm Using Time Division Multiplexing

Biologically inspired solutions are a novel way of solving the complex and real world problems. Due to the advanced nanoscale manufacturing processes and the complex communication requirements of the processing elements (PEs) various faults have occurred on NoC. The complexity and communication requ...

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Main Authors: Sethi, Muhammad Athar Javed, Hussin, Fawnizu Azmadi, Hamid, Nor Hisham
Format: Conference or Workshop Item
Published: 2016
Online Access:http://eprints.utp.edu.my/11956/1/Camera%20Ready%20Paper_V2.pdf
http://eprints.utp.edu.my/11956/
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spelling my.utp.eprints.119562017-01-19T08:20:56Z Biologically Inspired Network on Chip Fault Tolerant Algorithm Using Time Division Multiplexing Sethi, Muhammad Athar Javed Hussin, Fawnizu Azmadi Hamid, Nor Hisham Biologically inspired solutions are a novel way of solving the complex and real world problems. Due to the advanced nanoscale manufacturing processes and the complex communication requirements of the processing elements (PEs) various faults have occurred on NoC. The complexity and communication requirement of the NoC has also increased due to the heterogeneous devices. To support the complexity of NoC, the physical device sizes are scaled down, which have contributed to faults. Various fault tolerant techniques have been proposed in the literature to address the temporary faults. But all these algorithms have drawbacks in terms of adaptiveness and robustness. Bio-inspired NoC using Time division multiplexing (TDM) is based on the characteristics of biological brain. The technique is fault tolerant as it detects and bypass the faulty interconnects. With the help of TDM, multiple connections are possible between multiple sources and multiple destinations, which efficiently utilize the NoC bandwidth between PEs. To the best of our knowledge, TDM based bio-inspired NoC is the first algorithm to address the fault tolerance using the TDM approach as the average packet latency is increased by 2.45%, while the average bandwidth and throughput is reduced by 1.86% and 14.05% respectively during the recovery of faults. Also, the accepted traffic (flit/cycle/node) of the proposed bio-inspired technique is better than traditional fault tolerant techniques by 68.45%. 2016 Conference or Workshop Item PeerReviewed application/pdf http://eprints.utp.edu.my/11956/1/Camera%20Ready%20Paper_V2.pdf Sethi, Muhammad Athar Javed and Hussin, Fawnizu Azmadi and Hamid, Nor Hisham (2016) Biologically Inspired Network on Chip Fault Tolerant Algorithm Using Time Division Multiplexing. In: 6th IEEE International Conference on Intelligent & Advanced Systems, August 15-17, 2016, Kuala Lumpur, Malaysia. . (In Press) http://eprints.utp.edu.my/11956/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description Biologically inspired solutions are a novel way of solving the complex and real world problems. Due to the advanced nanoscale manufacturing processes and the complex communication requirements of the processing elements (PEs) various faults have occurred on NoC. The complexity and communication requirement of the NoC has also increased due to the heterogeneous devices. To support the complexity of NoC, the physical device sizes are scaled down, which have contributed to faults. Various fault tolerant techniques have been proposed in the literature to address the temporary faults. But all these algorithms have drawbacks in terms of adaptiveness and robustness. Bio-inspired NoC using Time division multiplexing (TDM) is based on the characteristics of biological brain. The technique is fault tolerant as it detects and bypass the faulty interconnects. With the help of TDM, multiple connections are possible between multiple sources and multiple destinations, which efficiently utilize the NoC bandwidth between PEs. To the best of our knowledge, TDM based bio-inspired NoC is the first algorithm to address the fault tolerance using the TDM approach as the average packet latency is increased by 2.45%, while the average bandwidth and throughput is reduced by 1.86% and 14.05% respectively during the recovery of faults. Also, the accepted traffic (flit/cycle/node) of the proposed bio-inspired technique is better than traditional fault tolerant techniques by 68.45%.
format Conference or Workshop Item
author Sethi, Muhammad Athar Javed
Hussin, Fawnizu Azmadi
Hamid, Nor Hisham
spellingShingle Sethi, Muhammad Athar Javed
Hussin, Fawnizu Azmadi
Hamid, Nor Hisham
Biologically Inspired Network on Chip Fault Tolerant Algorithm Using Time Division Multiplexing
author_facet Sethi, Muhammad Athar Javed
Hussin, Fawnizu Azmadi
Hamid, Nor Hisham
author_sort Sethi, Muhammad Athar Javed
title Biologically Inspired Network on Chip Fault Tolerant Algorithm Using Time Division Multiplexing
title_short Biologically Inspired Network on Chip Fault Tolerant Algorithm Using Time Division Multiplexing
title_full Biologically Inspired Network on Chip Fault Tolerant Algorithm Using Time Division Multiplexing
title_fullStr Biologically Inspired Network on Chip Fault Tolerant Algorithm Using Time Division Multiplexing
title_full_unstemmed Biologically Inspired Network on Chip Fault Tolerant Algorithm Using Time Division Multiplexing
title_sort biologically inspired network on chip fault tolerant algorithm using time division multiplexing
publishDate 2016
url http://eprints.utp.edu.my/11956/1/Camera%20Ready%20Paper_V2.pdf
http://eprints.utp.edu.my/11956/
_version_ 1738655993351372800
score 13.211869

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