Optoelectronic neural-network scheduler for packet switches

Roderick P. Webb, Andrew J. Waddie, Keith J. Symington, Mohammed R. Taghizadeh, John F. Snowdon

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

A novel, to our knowledge, type of packet scheduler that could significantly outperform current state-of-the-art schedulers is presented. The operation and the design of such a scheduler are discussed, and a fully operational experimental implementation is described. The scheduler uses a neural network in a winner-take-all strategy to optimize decisions on the throughput of both a crossbar and a banyan switching fabric. The problems of high interconnection density are solved by use of a free-space optical interconnect that exploits diffractive optical techniques to generate the required interconnection patterns and weights. © 2000 Optical Society of America.

Original languageEnglish
Pages (from-to)788-795
Number of pages8
JournalApplied Optics
Volume39
Issue number5
Publication statusPublished - 10 Feb 2000

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