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Optical systolic solutions of linear algebraic equationsThe philosophy and data encoding possible in systolic array optical processor (SAOP) were reviewed. The multitude of linear algebraic operations achievable on this architecture is examined. These operations include such linear algebraic algorithms as: matrix-decomposition, direct and indirect solutions, implicit and explicit methods for partial differential equations, eigenvalue and eigenvector calculations, and singular value decomposition. This architecture can be utilized to realize general techniques for solving matrix linear and nonlinear algebraic equations, least mean square error solutions, FIR filters, and nested-loop algorithms for control engineering applications. The data flow and pipelining of operations, design of parallel algorithms and flexible architectures, application of these architectures to computationally intensive physical problems, error source modeling of optical processors, and matching of the computational needs of practical engineering problems to the capabilities of optical processors are emphasized.
Document ID
19840014337
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Neuman, C. P.
(Carnegie-Mellon Univ. Pittsburgh, PA, United States)
Casasent, D.
(Carnegie-Mellon Univ. Pittsburgh, PA, United States)
Date Acquired
August 12, 2013
Publication Date
March 1, 1984
Publication Information
Publication: NASA. Langley Research Center Opt. Inform. Process. for Aerospace Appl. 2
Subject Category
Optics
Accession Number
84N22405
Funding Number(s)
CONTRACT_GRANT: AF-AFOSR-0091-79
CONTRACT_GRANT: NAG3-5
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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