| Mapping of micro data flow computations on parallel microarchitectures |
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International Symposium on Microarchitecture
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Proceedings of the 21st annual workshop on Microprogramming and microarchitecture
table of contents
San Diego, California, United States
Pages: 70 - 72
Year of Publication: 1988
ISBN:0-8186-1919-8
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Authors
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L. Shih
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Computer Engineering & Science Department, Case Western Reserve University, Cleveland, Ohio
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C. A. Papachristou
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Computer Engineering & Science Department, Case Western Reserve University, Cleveland, Ohio
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IEEE Computer Society Press
Los Alamitos, CA, USA
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Downloads (6 Weeks): 3, Downloads (12 Months): 8, Citation Count: 2
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ABSTRACT
This paper presents a method for mapping computation algorithms to parallel machines architectures. The approach is based on a fine grain mapping system, FGMS, whose basic rationale is to achieve better matchings between computations and architectures. FGMS consists of four stages, i.e., data flow graph generation, vertical mapping into fine grain graphs, horizontal mapping across interconnected processors and instruction or microcode generation for individual processors.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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Andrews80
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Arv82
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Arvind, "Data Flow kmguages," lEEE Computer, Special Issue on Data Flow Systems. February 1982.
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Micholsko84
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Stone88
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ORAI86
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Papa88
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Papachristou C.. "Partitioning and scheduling of tine grain computations into parallel microarchitectures," Technical Report, CES Dept., CWRU, Jan. 1988.
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STAN81
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Stankovic, John A., "The Types and Interactioos of Vertical Migrations of Functions in a Multilevel Interpretive System," iEEE Transactions on Computers, Vol. C-31, No. 7, pp. 505-513, July 1981.
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