Computational Complexity and Efficiency in Electro-Optical Computing Systems

Abstract

The Research Approach and Objectives were to: To develop robust theoretical model for a wide class of electro-optical systems; to extend the known capabilities, by design of new, more efficient algorithms for electro- optical computing using less time, volume, and energy. In particular, to develop efficient algorithms that use optimal combinations of time, volume, and energy on electro-optical computing systems; and to determine the fundamental theoretical limitations and capabilities of electro-optical computing systems. In particular, to determine lower bounds on tradeoffs between volume, time and other resources (such as energy) of any electro-optical computing systems to solve fundamental problems. (KR)

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Document Details

Document Type
Technical Report
Publication Date
Jun 26, 1990
Accession Number
ADA229195

Entities

People

  • John Reif

Organizations

  • Duke University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Coding
  • Computational Complexity
  • Computer Graphics
  • Computer Programming
  • Computer Science
  • Computers
  • Computing Devices
  • Energy Consumption
  • Optical Interconnects
  • Optical Modulators
  • Parallel Computing
  • Parallel Processing
  • Ray Tracing
  • Refractive Index
  • Three Dimensional
  • Two Dimensional

Readers

  • Distributed Systems and Data Platform Development
  • Life Cycle Cost Analysis
  • Optical Fiber Sensing and Electromagnetic Propagation.