Simulation and analysis of a neuromorphic architecture for in-memory computing

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dc.contributor.advisorCirera Hernández, Albert
dc.contributor.authorPuigibert Pérez, Mar
dc.date.accessioned2024-09-26T13:33:00Z
dc.date.available2024-09-26T13:33:00Z
dc.date.issued2024-01
dc.descriptionTreballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2024, Tutor: Albert Cirera Hernandezca
dc.description.abstractMemristor based systems are proposed to break away from the classical von Neumann architecture and emulate neuromorphic behavior, aiming to address the energy consumption challenges posed by current computing systems. Modeling a memristor based on experimental measurements enables the simulation and analysis of NOT and NOR gates based on NMOS-like RRAM architecture. This study delves into said device’s properties, possible systems implemented with it including in-memory computation, and analyses of energy efficiencyca
dc.format.extent5 p.
dc.format.mimetypeapplication/pdf
dc.identifier.urihttps://hdl.handle.net/2445/215410
dc.language.isoengca
dc.rightscc-by-nc-nd (c) Puigibert, 2024
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.sourceTreballs Finals de Grau (TFG) - Física
dc.subject.classificationEnginyeria neuromòrficacat
dc.subject.classificationMemristorcat
dc.subject.classificationTreballs de fi de graucat
dc.subject.otherNeuromorphic computingeng
dc.subject.otherMemristoreng
dc.subject.otherBachelor's theseseng
dc.titleSimulation and analysis of a neuromorphic architecture for in-memory computingeng
dc.typeinfo:eu-repo/semantics/bachelorThesisca

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