TY  - CONF
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85011966498&doi=10.1109%2fICIAS.2016.7824058&partnerID=40&md5=0600bf30b9673b3432e7b78aed69759f
A1  - Sethi, M.A.J.
A1  - Hussin, F.A.
A1  - Hamid, N.H.
Y1  - 2017///
SN  - 9781509008452
PB  - Institute of Electrical and Electronics Engineers Inc.
N1  - cited By 3; Conference of 6th International Conference on Intelligent and Advanced Systems, ICIAS 2016 ; Conference Date: 15 August 2016 Through 17 August 2016; Conference Code:125970
N2  - 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 IEEE.
KW  - Bandwidth; Complex networks; Fault tolerance; Multiplexing; Servers; Time division multiplexing
KW  -  Average packet latencies; Biologically inspired networks; Fault tolerant algorithms; Fault tolerant technique; Fault-tolerant; Network-on-chip(NoC); Sprouting; Synaptogensis
KW  -  Network-on-chip
TI  - Biologically inspired network on chip fault tolerant algorithm using time division multiplexing
ID  - scholars8975
AV  - none
ER  -