Paper Info
Title
Dataflow computing models, languages, and machines for intelligence computations
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.
Year
DOI
Venue
1988
10.1109/32.9065
Software Engineering, IEEE Transactions  
Keywords
Field
DocType
LISP,high level languages,parallel machines,parallel programming,performance evaluation,DCBL,EM-3,ETL,Lisp,benchmark programs,dataflow computing environment,dataflow computing machines,dataflow computing models,dataflow languages,functional programming,high-level-language-graph transformations,intelligence computations,parallel programming,performance evaluation
Signal programming,Dataflow architecture,Programming language,Functional programming,Computer science,Lisp,Parallel computing,Theoretical computer science,Dataflow,High-level programming language,Data flow diagram,Computation
Journal
Volume
Issue
ISSN
14
12
0098-5589
Citations 
PageRank 
References 
14
1.26
30
Authors
4
Name
Order
Citations
PageRank
Jayantha Herath1192.83
Yoshinori Yamaguchi232241.74
N. Saito322844.77
T. Yuba4246.51