Local variations compensation with DLL-based body bias generator for UTBB FD-SOI technology

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dc.contributor	Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica
dc.contributor	Universitat Politècnica de Catalunya. HIPICS - Grup de Circuits i Sistemes Integrats d'Altes Prestacions
dc.contributor.author	Mauricio Ferré, Juan
dc.contributor.author	Moll Echeto, Francisco de Borja
dc.date	2015
dc.identifier.citation	Mauricio, J., Moll, F. Local variations compensation with DLL-based body bias generator for UTBB FD-SOI technology. A: International New Circuits and Systems Conference. "NEWCAS 2015: 13th IEEE International NEW Circuits and Systems Conference (NEWCAS): conference proceedings: June 7-10 2015, Grenoble, France". Grenoble: Institute of Electrical and Electronics Engineers (IEEE), 2015.
dc.identifier.citation	10.1109/NEWCAS.2015.7182005
dc.identifier.uri	http://hdl.handle.net/2117/78249
dc.language.iso	eng
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation	http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7182005
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject	Àrees temàtiques de la UPC::Enginyeria electrònica::Microelectrònica::Circuits integrats
dc.subject	Integrated circuits
dc.subject	Variability
dc.subject	Within-Die variations
dc.subject	Sensors
dc.subject	Body Bias
dc.subject	Circuits integrats
dc.title	Local variations compensation with DLL-based body bias generator for UTBB FD-SOI technology
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	Local variations are increasingly important in new technologies. This paper presents the design of adaptive circuits based on the concept of Adaptive Body Bias Islands and a Forward and Reverse Body Bias Generator for FDSOI technology. The proposed Body Bias generator design, based on a DLL, allows a 70% area reduction compared to the DACbased conventional design and reduces local variability by 85%. This closed loop implementation also allows to track runtime variations.
dc.description.abstract	Peer Reviewed

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