Smart optoelectronic networks for multiprocessors

Ben Layatt, I. Gourlay, P. Dew, J. F. Snowdon

Research output: Contribution to journalArticlepeer-review


An intelligent interconnection network with fine-grain parallelism is described that has the potential to support efficient, scalable algorithms running on associated coarse-grain processors. The approach is relevant to the emerging computational cluster systems. The support of concurrent operations within the network is discussed and their mapping onto smart-pixel array network interfaces is shown. Choices are considered in the design of the flee-space optical interconnect that enables the inter-smart-pixel-array communication. In particular, a system that uses multi-element macro-lenses is studied and results of detailed modeling are given that quantify the smart-pixel density. These results are used, in an illustrative case study of the sorting problem, to compare potential system architectures. This is work in progress and throughout the paper, important issues in the design and use of the intelligent interconnect are raised that require more study.

Original languageEnglish
Pages (from-to)278-288
Number of pages11
JournalProceedings of SPIE - the International Society for Optical Engineering
Publication statusPublished - 2000
EventOptics in Computing 2000 - Quebec City, Can
Duration: 18 Jun 200023 Jun 2000


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