Parallel FPGA implementation of self-organizing maps
Identifieur interne : 006F18 ( Main/Exploration ); précédent : 006F17; suivant : 006F19Parallel FPGA implementation of self-organizing maps
Auteurs : Khaled Ben Khalifa ; Bernard Girau [France] ; Frédéric Alexandre [France] ; Mohamed Hedi BedouiSource :
Descripteurs français
- mix :
Abstract
This paper presents an area-saving parallel implementation of a Self-Organizing Map neural network (SOM) on FPGA. The purpose is to make available a finer grain of parallelism to be used in massively SIMD parallel SOM system architectures. We have handled a serial arithmetics (Most Significant Bit First: MSBF and Least Significant Bit First: LSBF), to process the different mathematical operations. Above all, our work has been oriented in such a way to get a light, easy to wear system for classification of vigilance states in humans from electroencephalographic (EEG) signals. The performances of our implementation in terms of area, speed and especially power consumption are highly satisfactory.
Url:
Affiliations:
- France
- Grand Est, Lorraine (région)
- Nancy
- Institut national polytechnique de Lorraine, Université Nancy 2, Université de Lorraine
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Le document en format XML
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status="OLD"><orgName>INRIA Lorraine</orgName><desc><address><addrLine>615 rue du Jardin Botanique 54600 Villers-lès-Nancy</addrLine><country key="FR"></country></address><ref type="url">http://www.inria.fr/centre-de-recherche-inria/nancy-grand-est</ref></desc><listRelation><relation active="#struct-300009" type="direct"></relation></listRelation></org></tutelle></tutelles></hal:affiliation><country>France</country><placeName><settlement type="city">Nancy</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Université Nancy 2</orgName><orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName><placeName><settlement type="city">Nancy</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Institut national polytechnique de Lorraine</orgName><orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName></affiliation></author><author><name sortKey="Bedoui, Mohamed Hedi" sort="Bedoui, Mohamed Hedi" uniqKey="Bedoui M" first="Mohamed Hedi" last="Bedoui">Mohamed Hedi Bedoui</name></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="mix" xml:lang="fr"><term>alertness</term><term>basse puissance</term><term>fpga</term><term>kohonen</term><term>low-power</term><term>neural networks</term><term>réseaux de neurones</term><term>vigilance</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">This paper presents an area-saving parallel implementation of a Self-Organizing Map neural network (SOM) on FPGA. The purpose is to make available a finer grain of parallelism to be used in massively SIMD parallel SOM system architectures. We have handled a serial arithmetics (Most Significant Bit First: MSBF and Least Significant Bit First: LSBF), to process the different mathematical operations. Above all, our work has been oriented in such a way to get a light, easy to wear system for classification of vigilance states in humans from electroencephalographic (EEG) signals. The performances of our implementation in terms of area, speed and especially power consumption are highly satisfactory.</div></front></TEI><affiliations><list><country><li>France</li></country><region><li>Grand Est</li><li>Lorraine (région)</li></region><settlement><li>Nancy</li></settlement><orgName><li>Institut national polytechnique de Lorraine</li><li>Université Nancy 2</li><li>Université de Lorraine</li></orgName></list><tree><noCountry><name sortKey="Bedoui, Mohamed Hedi" sort="Bedoui, Mohamed Hedi" uniqKey="Bedoui M" first="Mohamed Hedi" last="Bedoui">Mohamed Hedi Bedoui</name><name sortKey="Ben Khalifa, Khaled" sort="Ben Khalifa, Khaled" uniqKey="Ben Khalifa K" first="Khaled" last="Ben Khalifa">Khaled Ben Khalifa</name></noCountry><country name="France"><region name="Grand Est"><name sortKey="Girau, Bernard" sort="Girau, Bernard" uniqKey="Girau B" first="Bernard" last="Girau">Bernard Girau</name></region><name sortKey="Alexandre, Frederic" sort="Alexandre, Frederic" uniqKey="Alexandre F" first="Frédéric" last="Alexandre">Frédéric Alexandre</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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