Dataflow computing models, languages, and machines for intelligence computations

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 compu...

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Bibliographic Details
Published in:IEEE Transactions on Software Engineering Vol. 14; no. 12; pp. 1805 - 1828
Main Authors: Herath, J., Yamaguchi, Y., Saito, N., Yuba, T.
Format: Journal Article
Language:English
Published: New York, NY IEEE 01.12.1988
Institute of Electrical and Electronics Engineers (IEEE)
Institute of Electrical and Electronics Engineers
IEEE Computer Society
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ISSN:0098-5589, 1939-3520
Online Access:Get full text
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Summary: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.< >
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ISSN:0098-5589
1939-3520
DOI:10.1109/32.9065