Exploring the implementation of LSTM inference on FPGA

González, M. L.; Lozada, R.; Ruiz, J.; Skibinsky Gitlin, E. S.; García Vico, A. M.; Sedano Franco, Javier; Villar Flecha, José Ramón

doi:10.1109/ICECCME57830.2023.10252205

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Exploring the implementation of LSTM inference on FPGA

dc.contributor.author	González, M. L.
dc.contributor.author	Lozada, R.
dc.contributor.author	Ruiz, J.
dc.contributor.author	Skibinsky Gitlin, E. S.
dc.contributor.author	García Vico, A. M.
dc.contributor.author	Sedano Franco, Javier
dc.contributor.author	Villar Flecha, José Ramón
dc.date.accessioned	2024-02-26T07:39:10Z
dc.date.available	2024-02-26T07:39:10Z
dc.date.issued	2023
dc.identifier.isbn	979-835032297-2
dc.identifier.uri	https://hdl.handle.net/10651/71664
dc.description	International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME (2023. Tenerife, Canary Islands)
dc.description.sponsorship	This work has been founded by: the Ministry of Science and Innovation under CERVERA Excellence Network CER-20211003 (IBERUS), Missions Science and Innovation MIG-20211008 (INMERBOT), CDTI (Centro para el Desarrollo Tecnológico Industrial) under project CER-20211022, ICE (Junta de Castilla y León) under project CCTT3/20/BU/0002, the Spanish Ministry of Economics and Industry under the grant PID2020-112726RB-I00, the Spanish Ministry of
dc.language.iso	eng
dc.relation.ispartof	International Conference on Electrical, Computer, Communications and MechatronicsEengineering, ICECCME 2023
dc.rights	© 2023 IEEE
dc.rights	CC Reconocimiento – No Comercial – Sin Obra Derivada 4.0 Internacional
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174044764&doi=10.1109%2fICECCME57830.2023.10252205&partnerID=40&md5=5444b6dcfd0b910d08e5ea4b0dc0fe8c
dc.title	Exploring the implementation of LSTM inference on FPGA
dc.type	conference output
dc.identifier.doi	10.1109/ICECCME57830.2023.10252205
dc.relation.projectID	CER-20211003
dc.relation.projectID	MIG-20211008
dc.relation.projectID	info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-112726RB-I00/ES/INTELIGENCIA COMPUTACIONAL PARA LA MITIGACION DE EMISIONES: NUEVAS METODOLOGIAS DE APRENDIZAJE CON DATOS INCOMPLETOS/
dc.relation.projectID	info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-107793GB-I00/ES/HACIA LA EXTRACCION INTELIGENTE, EXPLICABLE Y PRECISA DE CONOCIMIENTO EN PROBLEMAS COMPLEJOS DE CIENCIA DE DATOS/
dc.relation.projectID	TED2021-131983B-I00
dc.relation.projectID	SV-PA-21-AYUD/2021/50994
dc.relation.publisherversion	http://dx.doi.org/10.1109/ICECCME57830.2023.10252205
dc.rights.accessRights	open access
dc.type.hasVersion	AM

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