Dataflow Computing Models, Languages, and Machines for Intelligence Computations

  • Authors:
  • J. Herath;Y. Yamaguchi;N. Saito;T. Yuba

  • Affiliations:
  • George Mason Univ., Fairfax, VA;Electrotechnical Laboratory, Ibaraki, Japan;Keio Univ., Yokohama, Japan;Electrotechnical Laboratory, Ibaraki, Japan

  • Venue:
  • IEEE Transactions on Software Engineering - Special Issue on Artificial Intelligence in Software Applications
  • Year:
  • 1988

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Abstract

The authors compare dataflow computing models, languages, and dataflow computing machines for numerical and nonnumerical computations. The high-level-language-graph transformations that must be performed to achieve high performance for numerical and nonnumerical programs executed in a dataflow computing environment are described for Lisp, using the DCBL transformations. Some general problems of dataflow computing machines are discussed. Performance evaluation measurements obtained by executing benchmark programs in the ETL nonnumerical dataflow computing environment, the EM-3, are presented.