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  5. Productivity in Parallel Computational Schemata

Productivity in Parallel Computational Schemata

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MIT-LCS-TR-111.pdf

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Author(s)
Linderman, John P.
Advisor(s)
Dennis, Jack B.
Date Issued
December 1973
Series/Report no.
MIT-LCS-TR-111
MAC-TR-111
Abstract
A general model for parallel computation is developed in three parts. One part, the data flow graph, describes how actors which transform and test values are connected to the locations in a finite memory. Another part, an interpretation, supplies information about the contents of memory and the detailed nature of the transformations and tests.
Persistent DSpace Link
https://hdl.handle.net/1721.1/149419
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