<i>Optical Computer Architectures: The Application of Optical Concepts to Next Generation Computers</i>

McAulay, Alastair D.

doi:10.1063/1.2810295

Cited by 39 publications

(26 citation statements)

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“…Traditionally, in optical information processing a distinction was made between signal/image processing through optics and numerical processing through optics, with only the latter (and often only the digital version of the latter) being called optical computing [57,48,29,101]. However, it was always difficult to clearly delineate between the two, since it was largely a question of the interpretation the programmer attached to the output optical signals.…”

Section: Brief Overview Of Optical Computing Architecturesmentioning

confidence: 99%

“…Numerous physical implementations of the latter class exist, and example applications include fast pattern recognition and matrix-vector algebra [35,90]. There have been much resources devoted to designs, implementations and algorithms for such optical information processing architectures (for example see [4,15,29,35,52,55,57,62,77,90,101,27] and their references).…”

Section: Optical Models Of Computation and Computational Complexitymentioning

confidence: 99%

“…Matrix-vector and matrix-matrix multiplication systems were proposed and demonstrated [42,57,90,48,4,29,51]. The capability to expand a beam of light and to focus many beams of light to a common point directly corresponded to high fan-out and fan-in capabilities, respectively.…”

Section: Analog Optical Numerical Computationmentioning

confidence: 99%

“…Modulators can also act on phase and polarisation, and can be transmissive rather than reflective. They include photographic film, and electro-optic, magneto-optic, and acousto-optic devices [57,4,48,29,35]. One class of note are the optically-addressed SLMs, in which, typically, a 2D light pattern falling on a photosensitive layer on one side of the SLM spatially varies (with an identical pattern) the reflective properties of the other side of the SLM.…”

Section: Spatial Light Modulators (Slms)mentioning

confidence: 99%

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Optical computing

Woods¹,

Naughton²

2009

Applied Mathematics and Computation

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We consider optical computers that encode data using images and compute by transforming such images. We give an overview of a number of such optical computing architectures, including descriptions of the type of hardware commonly used in optical computing, as well as some of the computational efficiencies of optical devices. We go on to discuss optical computing from the point of view of computational complexity theory, with the aim of putting some old, and some very recent, results in context. Finally, we focus on a particular optical model of computation called the continuous space machine. We describe some results for this model including characterisations in terms of well-known complexity classes.

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Section: Brief Overview Of Optical Computing Architecturesmentioning

confidence: 99%

Section: Optical Models Of Computation and Computational Complexitymentioning

confidence: 99%

Section: Analog Optical Numerical Computationmentioning

confidence: 99%

Section: Spatial Light Modulators (Slms)mentioning

confidence: 99%

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Optical computing

Woods¹,

Naughton²

2009

Applied Mathematics and Computation

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show abstract

“…Optical computing [1][2][3] has been proposed in the late 1980s, since the productivity of electronic computers does not satisfy modern requirements. Digital data can be transmitted to electronic processor by an optical fibre with the speed of light, but the maximum speed of switching of electronic logic gates is 50 ps ( Hz 10 2 10 …”

Section: Introductionmentioning

confidence: 99%