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A Programmable Optoelectronic Neural Network Packet Switch Scheduler

Overview A programmable optoelectronic neural network architecture is presented that has been optimized to make routing decisions in both crossbar and banyan packet switch fabrics. Simulation has indicated excellent scalability in this particular application with only a minimal increase in decision time even when problem set size grows by an order of magnitude. Experimental results are presented that demonstrate a high tolerance to both noise and component inconsistencies. An assessment of system performance is made using the common metric of Connections Per Second (CPS).

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Publisher
Optical Society of America
File Format
PDF
Date Published
Sep 11, 2008
Format
White Papers
Topics
Programming Languages, Switching

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