ATAMM Multicomputer System Design

The Algorithm To Architecture Mapping Model, or ATAMM, is a graph theoretic design methodology that has been created to resolve design and performance issues involved with concurrent processing. Petri-net marked graphs are used to represent the computational environment. This thesis describes the development of a multicomputer system which will operate within the bounds specified by the ATAMM model. The system is first designed and implemented using the framework of standard multicomputer design theory. A validation is then performed by the comparison of the system's computational performance to results predicted by ATAMM. This validation is shown to be successful for three algorithm graphs that represent different possible data flow structures.

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Publication Details

Journal
ODU Digital Commons (Old Dominion University)
Published
2024-08-30
DOI
https://doi.org/10.25777/qxq7-n134
Primary Topic
Forest Ecology and Biodiversity Studies
Type
article
Field-Weighted Citation Impact
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article

ATAMM Multicomputer System Design

ODU Digital Commons (Old Dominion University)
Forest Ecology and Biodiversity Studies
article

ATAMM Multicomputer System Design

article en

Abstract

The Algorithm To Architecture Mapping Model, or ATAMM, is a graph theoretic design methodology that has been created to resolve design and performance issues involved with concurrent processing. Petri-net marked graphs are used to represent the computational environment. This thesis describes the development of a multicomputer system which will operate within the bounds specified by the ATAMM model. The system is first designed and implemented using the framework of standard multicomputer design theory. A validation is then performed by the comparison of the system's computational performance to results predicted by ATAMM. This validation is shown to be successful for three algorithm graphs that represent different possible data flow structures.

ODU Digital Commons (Old Dominion University)
Dominion University College (GH), Old Dominion University (US)
Openalex Percentile: Top 52%
Forest Ecology and Biodiversity Studies
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