Parallel processing paradigms and optical computing

B. Keith Jenkins, C. Lee Giles

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Parallel processing models as computational paradigms are discussed and related to optical computing. Two classes of parallel computing models are discussed - shared memory models and graph/network models. These models are used to analyze some of the possible effects of optical technology on parallel computing. It is found that the use of optics potentially provides certain fundamental advantages. In addition, some factors that limit the communication capabilities of optical systems in the case of network models are found.

Original languageEnglish (US)
Pages (from-to)22-29
Number of pages8
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume625
DOIs
StatePublished - Jun 9 1986

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Optical Computing
Optical data processing
Parallel Processing
Paradigm
Parallel Computing
Network Model
Processing
Memory Model
Graph Model
Parallel processing systems
Shared Memory
Optical System
Optics
Model
Optical systems
communication
optics
Data storage equipment
Communication

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

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Parallel processing paradigms and optical computing. / Jenkins, B. Keith; Giles, C. Lee.

In: Proceedings of SPIE - The International Society for Optical Engineering, Vol. 625, 09.06.1986, p. 22-29.

Research output: Contribution to journalArticle

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