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...
Main Author: | |
---|---|
Other Authors: | |
Published: |
2023
|
Online Access: | https://hdl.handle.net/1721.1/149419 |
_version_ | 1826194238050664448 |
---|---|
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. |
first_indexed | 2024-09-23T09:53:02Z |
id | mit-1721.1/149419 |
institution | Massachusetts Institute of Technology |
last_indexed | 2024-09-23T09:53:02Z |
publishDate | 2023 |
record_format | dspace |
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 |