STUDY OF ASSOCIATIVE PROCESSING TECHNIQUES

Abstract

Two associative processors are formulated and evaluated. The first processor, named the associative file processor (AFP), uses a small associative memory, in conjunction with a large head-per-track disc file, to affect content search and retrieval from large formatted files stored on the disc. The processor also allows efficient updating of large, highly dynamic data bases. The applications of AFP in the manipulation of existing sea surveillance files and command-control data bases are investigated in detail. The second processor, named the associative parallel processor (APP), is optimized for simultaneous processing of many data elements as they reside in memory. This processor is evaluated for use in the real-time solution of large network-flow or resource- allocation tasks, and also for the real-time reduction of ELINT reconnaissance data. It is shown that, for large problems of either type, the processor offers order-of-magnitude reductions in solution times over conventional methods. Improvements in solutions times are such that real-time solutions of important tasks in each problem area are feasible.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1966
Accession Number
AD0800387

Entities

People

  • J. C. Tu
  • J. L. Cass
  • P. E. Tanner
  • R. M. Bird
  • Richard H. Fuller

Tags

Communities of Interest

  • Air Platforms
  • C4I
  • Energy and Power Technologies
  • Weapons Technologies

DTIC Thesaurus Topics

  • Access Time
  • Command And Control
  • Computer Programming
  • Computer Programs
  • Computers
  • Content Addressable Memory
  • Data Processing
  • Data Storage Systems
  • Information Retrieval
  • Information Science
  • Operations Research
  • Parallel Computing
  • Parallel Processing
  • Parallel Processors
  • Pattern Recognition
  • Processing Equipment
  • Sequences

Readers

  • Parallel and Distributed Computing.
  • Systems Analysis and Design