Synthesis of Tree-Structured Computing Systems through Use of Closures.

Abstract

During this past year we have concerned ourselves with the synthesis of tree structures. These structures offer, in our opinion, the best hope of achieving subpolynomial running times for typical problems without a degree of interconnection that makes physical implementation difficult. One would like to be able to synthesize trees using divide & conquer. Divide & conquer is an appealing technique for tree synthesis because of the isomorphism between the shape of the desired synthesized system and the recursive descent implicit in divide & conquer. Additionally, the technique makes good use of theorem proving techniques which are rapidly being developed for other purposes. Certain problems arise, however, when one tries to use divide & conquer to synthesize a tree-structured computing system. The basic difficulty is that nodes that are high in the tree are required to either compute or communicate large amounts of data. Our primary solution to this problem is to replace the original specification, which in general declares the existence of an output array that depends on various elements of the input array, into an equivalent specification; which declares the existence of a certain closure, or specialized functional object, together with a declaration that it be applied. Additional keyword: Multiprocessors.

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Document Details

Document Type
Technical Report
Publication Date
Nov 29, 1984
Accession Number
ADA150502

Entities

People

  • Richard R. King

Organizations

  • Kestrel Institute

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Automatic
  • Classification
  • Computations
  • Computer Programming
  • Computer Science
  • Computers
  • Data Transmission
  • Databases
  • Identities
  • Language
  • Notation
  • Security
  • Standards
  • Trees
  • Trees (Data Structures)

Fields of Study

  • Computer science

Readers

  • Applied Combinatorial Optimization and Logic Circuit Design.
  • Graph Algorithms and Convex Optimization.
  • Parallel and Distributed Computing.