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Modeling and Simulation of Network-on-Chip Systems with DEVS and DEUS
Networks on-chip (NoCs) provide enhanced performance, scalability, modularity, and design productivity as compared with previous communication architectures for VLSI systems on-chip (SoCs), such as buses and dedicated signal wires. Since the NoC design space is very large and high dimensional, evalu...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Hindawi Publishing Corporation
2014
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4032749/ https://www.ncbi.nlm.nih.gov/pubmed/24895686 http://dx.doi.org/10.1155/2014/982569 |
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author | Amoretti, Michele |
author_facet | Amoretti, Michele |
author_sort | Amoretti, Michele |
collection | PubMed |
description | Networks on-chip (NoCs) provide enhanced performance, scalability, modularity, and design productivity as compared with previous communication architectures for VLSI systems on-chip (SoCs), such as buses and dedicated signal wires. Since the NoC design space is very large and high dimensional, evaluation methodologies rely heavily on analytical modeling and simulation. Unfortunately, there is no standard modeling framework. In this paper we illustrate how to design and evaluate NoCs by integrating the Discrete Event System Specification (DEVS) modeling framework and the simulation environment called DEUS. The advantage of such an approach is that both DEVS and DEUS support modularity—the former being a sound and complete modeling framework and the latter being an open, general-purpose platform, characterized by a steep learning curve and the possibility to simulate any system at any level of detail. |
format | Online Article Text |
id | pubmed-4032749 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-40327492014-06-03 Modeling and Simulation of Network-on-Chip Systems with DEVS and DEUS Amoretti, Michele ScientificWorldJournal Research Article Networks on-chip (NoCs) provide enhanced performance, scalability, modularity, and design productivity as compared with previous communication architectures for VLSI systems on-chip (SoCs), such as buses and dedicated signal wires. Since the NoC design space is very large and high dimensional, evaluation methodologies rely heavily on analytical modeling and simulation. Unfortunately, there is no standard modeling framework. In this paper we illustrate how to design and evaluate NoCs by integrating the Discrete Event System Specification (DEVS) modeling framework and the simulation environment called DEUS. The advantage of such an approach is that both DEVS and DEUS support modularity—the former being a sound and complete modeling framework and the latter being an open, general-purpose platform, characterized by a steep learning curve and the possibility to simulate any system at any level of detail. Hindawi Publishing Corporation 2014 2014-04-17 /pmc/articles/PMC4032749/ /pubmed/24895686 http://dx.doi.org/10.1155/2014/982569 Text en Copyright © 2014 Michele Amoretti. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Amoretti, Michele Modeling and Simulation of Network-on-Chip Systems with DEVS and DEUS |
title | Modeling and Simulation of Network-on-Chip Systems with DEVS and DEUS |
title_full | Modeling and Simulation of Network-on-Chip Systems with DEVS and DEUS |
title_fullStr | Modeling and Simulation of Network-on-Chip Systems with DEVS and DEUS |
title_full_unstemmed | Modeling and Simulation of Network-on-Chip Systems with DEVS and DEUS |
title_short | Modeling and Simulation of Network-on-Chip Systems with DEVS and DEUS |
title_sort | modeling and simulation of network-on-chip systems with devs and deus |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4032749/ https://www.ncbi.nlm.nih.gov/pubmed/24895686 http://dx.doi.org/10.1155/2014/982569 |
work_keys_str_mv | AT amorettimichele modelingandsimulationofnetworkonchipsystemswithdevsanddeus |