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Network-on-Chip Irregular Topology Optimization for Real-Time and Non-Real-Time Applications

Network-on-Chip is a good approach to working on intra-chip communication. Networks with irregular topologies may be better suited for specific applications because of their architectural nature. A good design space exploration can help the design of the network to obtain more optimized topologies....

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Detalles Bibliográficos
Autores principales: Oliveira, Samuel da Silva, de Carvalho, Bruno Motta, Kreutz, Márcio Eduardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8537216/
https://www.ncbi.nlm.nih.gov/pubmed/34683246
http://dx.doi.org/10.3390/mi12101196
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author Oliveira, Samuel da Silva
de Carvalho, Bruno Motta
Kreutz, Márcio Eduardo
author_facet Oliveira, Samuel da Silva
de Carvalho, Bruno Motta
Kreutz, Márcio Eduardo
author_sort Oliveira, Samuel da Silva
collection PubMed
description Network-on-Chip is a good approach to working on intra-chip communication. Networks with irregular topologies may be better suited for specific applications because of their architectural nature. A good design space exploration can help the design of the network to obtain more optimized topologies. This paper proposes a way of optimizing networks with irregular topologies through the use of a genetic algorithm. The network proposed here has heterogeneous routers that aim to optimize the network and support applications with real-time tasks. The goal is to find networks that are optimized for average latency and percentage of real-time packets delivered within the deadline. The results show that we have been able to find networks that can deliver all the real-time packets, obtain acceptable latency values, and shrink the chip area.
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spelling pubmed-85372162021-10-24 Network-on-Chip Irregular Topology Optimization for Real-Time and Non-Real-Time Applications Oliveira, Samuel da Silva de Carvalho, Bruno Motta Kreutz, Márcio Eduardo Micromachines (Basel) Article Network-on-Chip is a good approach to working on intra-chip communication. Networks with irregular topologies may be better suited for specific applications because of their architectural nature. A good design space exploration can help the design of the network to obtain more optimized topologies. This paper proposes a way of optimizing networks with irregular topologies through the use of a genetic algorithm. The network proposed here has heterogeneous routers that aim to optimize the network and support applications with real-time tasks. The goal is to find networks that are optimized for average latency and percentage of real-time packets delivered within the deadline. The results show that we have been able to find networks that can deliver all the real-time packets, obtain acceptable latency values, and shrink the chip area. MDPI 2021-09-30 /pmc/articles/PMC8537216/ /pubmed/34683246 http://dx.doi.org/10.3390/mi12101196 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Oliveira, Samuel da Silva
de Carvalho, Bruno Motta
Kreutz, Márcio Eduardo
Network-on-Chip Irregular Topology Optimization for Real-Time and Non-Real-Time Applications
title Network-on-Chip Irregular Topology Optimization for Real-Time and Non-Real-Time Applications
title_full Network-on-Chip Irregular Topology Optimization for Real-Time and Non-Real-Time Applications
title_fullStr Network-on-Chip Irregular Topology Optimization for Real-Time and Non-Real-Time Applications
title_full_unstemmed Network-on-Chip Irregular Topology Optimization for Real-Time and Non-Real-Time Applications
title_short Network-on-Chip Irregular Topology Optimization for Real-Time and Non-Real-Time Applications
title_sort network-on-chip irregular topology optimization for real-time and non-real-time applications
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8537216/
https://www.ncbi.nlm.nih.gov/pubmed/34683246
http://dx.doi.org/10.3390/mi12101196
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