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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| Vydané v: | IEEE Transactions on Software Engineering Ročník 14; číslo 12; s. 1805 - 1828 |
|---|---|
| Hlavní autori: | , , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
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 |
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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.< > |
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| AbstractList | 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.< > Dataflow computing for intelligence computations is examined by comparing dataflow computing models, languages, and dataflow computing machines for numerical and nonnumerical computations. Two models are used to represent static dataflow computing. The strictly static model used in the Texas Distributed Data Processor system will not allow initiation of a new iteration before the previous one is finished. The high-level language-graph transformation, which must be performed to reach high performance for numerical and nonnumerical programs when executed in a dataflow computing environment, is explained using the DCBL transformations, and it is applied to the Lisp language. Benchmark programs are executed. Problems of dataflow computing machines presented include: 1. matching bottleneck, 2. remaining packet garbage, 3. control of parallelism, 4. sequential computing segments, 5. parallel execution of conditional computations, and 6. optimization of dataflow computations. Dataflow computing, a radical departure from von Neumann computing, support multiprocessing on a massive scale and plays a major role in permitting intelligence computing machines to achieve ultrahigh speeds. Intelligence computations consist of large complex numerical and nonnumerical computations. Efficient computing models are necessary to represent intelligence computations. This paper concentrates on dataflow computing for intelligence computations and presents a comparison of dataflow computing models, languages and dataflow computing machines for numerical and nonnumerical computations. |
| Author | Yuba, T. Saito, N. Herath, J. Yamaguchi, Y. |
| Author_xml | – sequence: 1 givenname: J. surname: Herath fullname: Herath, J. organization: Dept. of Comput. Sci., George Mason Univ., Fairfax, VA, USA – sequence: 2 givenname: Y. surname: Yamaguchi fullname: Yamaguchi, Y. – sequence: 3 givenname: N. surname: Saito fullname: Saito, N. – sequence: 4 givenname: T. surname: Yuba fullname: Yuba, T. |
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| Cites_doi | 10.1145/800046.801675 10.1109/MC.1986.1663181 10.1145/359636.359715 10.1007/BFb0105116 10.1093/comjnl/25.2.207 10.1109/MC.1982.1653940 10.1109/TC.1982.1676097 10.1007/3-540-18099-0_26 10.1109/MSPEC.1982.6366967 10.1145/359576.359579 10.1109/69.204098 10.1145/800046.801661 10.1145/800223.806776 10.1007/BF03037098 10.1109/TC.1984.5009332 10.1016/0020-0190(83)90065-0 10.1145/800046.801662 10.1145/800094.803050 10.1145/5001.5390 10.1145/356869.356873 10.1145/321250.321253 10.1145/17356.17373 |
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| Keywords | Experimental result Parallel programming Programming language Parallel calculus Performance analysis Computer system Functional programming Modeling Data flow |
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| Title | Dataflow computing models, languages, and machines for intelligence computations |
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