DocumentCode
677200
Title
Synaptogenesis based bio-inspired NoC fault tolerant interconnects
Author
Sethi, Muhammad Athar Javed ; Hussin, Fawnizu Azmadi ; Hamid, Nor Hisham
Author_Institution
Dept. of Electr. & Electron. Eng., Univ. Teknol. PETRONAS, Tronoh, Malaysia
fYear
2013
fDate
Nov. 29 2013-Dec. 1 2013
Firstpage
46
Lastpage
51
Abstract
Network on Chip (NoC) is a communication framework for interconnection of processing element (PE´s). The excessive and parallel communication requirements of heterogeneous PE´s in NoC have made the communication structure very complex. The size of the devices are scaled down to support the complexity but the size of interconnects remains the same. To support the complexity of NoC many fault tolerant routing techniques have been proposed to cope with the faulty nodes and interconnects which occur during the communication. All the routing algorithms lack the adaptiveness, robustness and they also have the drawbacks of congestion, delayed communication and latency issues. In this paper a synaptogenesis bases bio-inspired algorithm is proposed for NoC. This algorithm is fault tolerant as it adapts the mechanism of biological brain. The results show that the bio-inspired algorithm quickly recovers from the fault and it is robust and fault tolerant. The average packet network latency was increased by 11.64%, average bandwidth was reduced by 0.07% and throughput is drop to 43.30% during the network recovery from faults. While comparing with literature technique the average throughput and accepted traffic is increased by 76.92%.
Keywords
biocomputing; fault tolerance; integrated circuit interconnections; network routing; network-on-chip; NoC; biological brain mechanism; fault tolerant routing techniques; heterogeneous PE; network on chip; processing element interconnection; synaptogenesis bases bioinspired algorithm; Neurons; Fault tolerant; Network on Chip (NoC); Neuron; Processing Elements (PE´s); Synapse; Synaptogenesis;
fLanguage
English
Publisher
ieee
Conference_Titel
Control System, Computing and Engineering (ICCSCE), 2013 IEEE International Conference on
Conference_Location
Mindeb
Print_ISBN
978-1-4799-1506-4
Type
conf
DOI
10.1109/ICCSCE.2013.6719930
Filename
6719930
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