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A Novel Hardware Systolic Architecture of a Self-Organizing Map Neural Network
In this article, we propose to design a new modular architecture for a self-organizing map (SOM) neural network. The proposed approach, called systolic-SOM (SSOM), is based on the use of a generic model inspired by a systolic movement. This model is formed by two levels of nested parallelism of neur...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6466938/ https://www.ncbi.nlm.nih.gov/pubmed/31065255 http://dx.doi.org/10.1155/2019/8212867 |
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author | Ben Khalifa, Khaled Blaiech, Ahmed Ghazi Bedoui, Mohamed Hédi |
author_facet | Ben Khalifa, Khaled Blaiech, Ahmed Ghazi Bedoui, Mohamed Hédi |
author_sort | Ben Khalifa, Khaled |
collection | PubMed |
description | In this article, we propose to design a new modular architecture for a self-organizing map (SOM) neural network. The proposed approach, called systolic-SOM (SSOM), is based on the use of a generic model inspired by a systolic movement. This model is formed by two levels of nested parallelism of neurons and connections. Thus, this solution provides a distributed set of independent computations between the processing units called neuroprocessors (NPs) which define the SSOM architecture. The NP modules have an innovative architecture compared to those proposed in the literature. Indeed, each NP performs three different tasks without requiring additional external modules. To validate our approach, we evaluate the performance of several SOM network architectures after their integration on an FPGA support. This architecture has achieved a performance almost twice as fast as that obtained in the recent literature. |
format | Online Article Text |
id | pubmed-6466938 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-64669382019-05-07 A Novel Hardware Systolic Architecture of a Self-Organizing Map Neural Network Ben Khalifa, Khaled Blaiech, Ahmed Ghazi Bedoui, Mohamed Hédi Comput Intell Neurosci Research Article In this article, we propose to design a new modular architecture for a self-organizing map (SOM) neural network. The proposed approach, called systolic-SOM (SSOM), is based on the use of a generic model inspired by a systolic movement. This model is formed by two levels of nested parallelism of neurons and connections. Thus, this solution provides a distributed set of independent computations between the processing units called neuroprocessors (NPs) which define the SSOM architecture. The NP modules have an innovative architecture compared to those proposed in the literature. Indeed, each NP performs three different tasks without requiring additional external modules. To validate our approach, we evaluate the performance of several SOM network architectures after their integration on an FPGA support. This architecture has achieved a performance almost twice as fast as that obtained in the recent literature. Hindawi 2019-04-01 /pmc/articles/PMC6466938/ /pubmed/31065255 http://dx.doi.org/10.1155/2019/8212867 Text en Copyright © 2019 Khaled Ben Khalifa et al. http://creativecommons.org/licenses/by/4.0/ 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 Ben Khalifa, Khaled Blaiech, Ahmed Ghazi Bedoui, Mohamed Hédi A Novel Hardware Systolic Architecture of a Self-Organizing Map Neural Network |
title | A Novel Hardware Systolic Architecture of a Self-Organizing Map Neural Network |
title_full | A Novel Hardware Systolic Architecture of a Self-Organizing Map Neural Network |
title_fullStr | A Novel Hardware Systolic Architecture of a Self-Organizing Map Neural Network |
title_full_unstemmed | A Novel Hardware Systolic Architecture of a Self-Organizing Map Neural Network |
title_short | A Novel Hardware Systolic Architecture of a Self-Organizing Map Neural Network |
title_sort | novel hardware systolic architecture of a self-organizing map neural network |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6466938/ https://www.ncbi.nlm.nih.gov/pubmed/31065255 http://dx.doi.org/10.1155/2019/8212867 |
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