Associative parallel processing

  • Authors:
  • R. H. Fuller

  • Affiliations:
  • General Precision Inc., Glendale, California

  • Venue:
  • AFIPS '67 (Spring) Proceedings of the April 18-20, 1967, spring joint computer conference
  • Year:
  • 1967

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Abstract

Several previous investigations have shown associative processors to have utility in solution of problems which allow the same operation to be performed simultaneously over many elements of a data set. Examples of such problems include picture processing, matrix manipulation, signal correlation, ELINT data processing and information retrieval. It is the purpose of this paper to contrast the efficiency of solution of such problems on an associative parallel processor to efficiencies obtained using other computer organizations described in this session. Efficiency is measured as solution rate per unit cost.