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
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