Asian Journal of Information Technology>2016>15>14>2531-2541
Network on Chip (NoC) is a communication framework for on-chip network. NoC has implemented the concept of packet switching from data communication in on-chip network. NoC consists of multiple nodes Processing Elements (PEs) connected together through routers. Routers are in turns connected together through bidirectional interconnects. NI connects the PEs to routers as it separates the data communication of PE from network communication.
Best Effort (BE) and Guaranteed Throughput services (GT) are the two broad categories of communication services provided in NoC. Few of the existing NoC architectures provide both of these services. GT based services, which are based on circuit switching or connection oriented mechanisms of packet switching, are usually preferred for real time traffic while packet switching services are provided by the BE architecture. In this paper, biologically inspired fault tolerant techniques are implemented on these two different services. Biologically inspired techniques offer novel ways of making NoCs fault tolerant; faults in NoCs arise partly due to advanced nanoscale manufacturing processes and the complex communication requirements of the processing elements (PEs). The proposed NoCs fault-tolerant methods (synaptogenesis and sprouting) are adapted from the biological brain׳s robust fault tolerant mechanisms. These techniques are implemented on both BE and GT services. From the experimental results, the BE architecture was efficiently utilizing the bandwidth compared to GT services, while throughput utilization of GT services were better. The accepted traffic (flit/cycle/node) of the BE architecture is 6.31% better than GT architecture while the accepted traffic of the bio-inspired techniques is 72.12% better than traditional fault tolerant techniques.
Financed by the National Centre for Research and Development under grant No. SP/I/1/77065/10 by the strategic scientific research and experimental development program:
SYNAT - “Interdisciplinary System for Interactive Scientific and Scientific-Technical Information”.