Productivity in Parallel Computational Schemata

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 de...

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Bibliographic Details
Main Author: Linderman, John P.
Other Authors: Dennis, Jack B.
Published: 2023
Online Access:https://hdl.handle.net/1721.1/149419
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author Linderman, John P.
author2 Dennis, Jack B.
author_facet Dennis, Jack B.
Linderman, John P.
author_sort Linderman, John P.
collection MIT
description 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.
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institution Massachusetts Institute of Technology
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spelling mit-1721.1/1494192023-03-30T04:07:16Z Productivity in Parallel Computational Schemata Linderman, John P. Dennis, Jack B. 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. 2023-03-29T14:57:21Z 2023-03-29T14:57:21Z 1973-12 https://hdl.handle.net/1721.1/149419 02527735 MIT-LCS-TR-111 MAC-TR-111 application/pdf
spellingShingle Linderman, John P.
Productivity in Parallel Computational Schemata
title Productivity in Parallel Computational Schemata
title_full Productivity in Parallel Computational Schemata
title_fullStr Productivity in Parallel Computational Schemata
title_full_unstemmed Productivity in Parallel Computational Schemata
title_short Productivity in Parallel Computational Schemata
title_sort productivity in parallel computational schemata
url https://hdl.handle.net/1721.1/149419
work_keys_str_mv AT lindermanjohnp productivityinparallelcomputationalschemata