Application of optically reconfigurable interconnects to the dataflow parallel computing paradigm

Miles J. Murdocca; Atul Sharma

doi:10.1117/12.139915

24 August 1992 Application of optically reconfigurable interconnects to the dataflow parallel computing paradigm

Miles J. Murdocca, Atul Sharma

Proceedings Volume 1704, Advances in Optical Information Processing V; (1992) https://doi.org/10.1117/12.139915
Event: Aerospace Sensing, 1992, Orlando, FL, United States

Abstract

Convolution of long sequences of data is often needed for various sensing, signal processing, and pattern recognition applications. In this paper, massively parallel opto-electronic interconnect schemes are proposed to solve the problem of real-time convolution of long (10⁴ - 10⁶) data systems. Based on the Chinese remainder theorem, a 1D data sequence of length N (N equals r₁r₂, where r₁ and r₂ are mutually prime to each other) may be permuted into a 2D array of a size r₁ by r₂. A convolution of the two 1D data sequences each of N points is therefore converted into a convolution of the two corresponding 2D arrays each of a size r₁ X r₂. A standard 2D optical image convolver sandwiched between an input and an output opto-electronic data permutation devices (interconnect networks) can thus perform the required convolution. Two video rate opto- electronic data permutation schemes which are based on: (1) the use of a modified cathode ray tube (CRT) and (2) a combination of a standard CRT and an optical geometric transformer, respectively, are described. The permuted 2D data are subject to a standard free-space optical convolution before a 2D to 1D inverse permutation to generate the final 1D convolution result. Computer simulation for the entire three-stage algorithm and their results are discussed. Technical problems and fundamental limitations of the proposed schemes are also discussed.

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Miles J. Murdocca and Atul Sharma "Application of optically reconfigurable interconnects to the dataflow parallel computing paradigm", Proc. SPIE 1704, Advances in Optical Information Processing V, (24 August 1992); https://doi.org/10.1117/12.139915

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KEYWORDS

Data modeling

Convolution

Photomasks

Logic

Digital electronics

Logic devices

Optical interconnects

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