Design for a symbol processing associative store
Design for a symbol processing associative store
In an attempt to alleviate some of the problems of program complexity and processing inefficiency encountered when tackling certain classes of non-numerical or symbol processing applications with a conventional computer, analternative structure based upon a cellular associative memory has been proposed by previous authors. Its processing efficiency when handling typical symbol processing applications appears extremely promising but little attention has been given to its implementation. The work described in this thesis represents the results of an investigation into the implementation of this structure. During the initial stages of this work, a number of areas of potential weakness in the previous proposal were highlighted for detailed investigation. Resulting from this, a network for the detection and resolution of multiple responses and a parallel data transfer scheme for loading and unloading the memory with the symbol processing memory as an integral part of a general purpose digital computer are described. In addition, a general digital approach to threshold gate synthesis, developed as a result of the work on multiple responses, is discussed. Following this is a description of the author's work on memory cell design which provides for the addition of a full symbol mask capability to each memory cell and a substantial increase in cell command flexibility (without incurring an unacceptable increase in the number of cell connections). Finally details of the implementation of the author's own memory cell design using a particular LSI technology and the results of a simulation of this are presented. The conclusion of this work is that a symbol processing capability, with the proposed symbol processing memory implemented as an integral part of a general purpose computer system, appears very viable.
University of Southampton
Winn, Graham Charles Edward
1977
Winn, Graham Charles Edward
Winn, Graham Charles Edward
(1977)
Design for a symbol processing associative store.
University of Southampton, Doctoral Thesis.
Record type:
Thesis
(Doctoral)
Abstract
In an attempt to alleviate some of the problems of program complexity and processing inefficiency encountered when tackling certain classes of non-numerical or symbol processing applications with a conventional computer, analternative structure based upon a cellular associative memory has been proposed by previous authors. Its processing efficiency when handling typical symbol processing applications appears extremely promising but little attention has been given to its implementation. The work described in this thesis represents the results of an investigation into the implementation of this structure. During the initial stages of this work, a number of areas of potential weakness in the previous proposal were highlighted for detailed investigation. Resulting from this, a network for the detection and resolution of multiple responses and a parallel data transfer scheme for loading and unloading the memory with the symbol processing memory as an integral part of a general purpose digital computer are described. In addition, a general digital approach to threshold gate synthesis, developed as a result of the work on multiple responses, is discussed. Following this is a description of the author's work on memory cell design which provides for the addition of a full symbol mask capability to each memory cell and a substantial increase in cell command flexibility (without incurring an unacceptable increase in the number of cell connections). Finally details of the implementation of the author's own memory cell design using a particular LSI technology and the results of a simulation of this are presented. The conclusion of this work is that a symbol processing capability, with the proposed symbol processing memory implemented as an integral part of a general purpose computer system, appears very viable.
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Published date: 1977
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Local EPrints ID: 462479
URI: http://eprints.soton.ac.uk/id/eprint/462479
PURE UUID: e451c6b3-5da9-4bcf-85a4-dc2d5fb67700
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Date deposited: 04 Jul 2022 19:09
Last modified: 04 Jul 2022 19:09
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Author:
Graham Charles Edward Winn
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