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Listar por autor "Mohan, Charanraj"
Mostrando ítems 1-6 de 6
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Ponencia
A Current Attenuator for Efficient Memristive Crossbars Read-Out
Mohan, Charanraj; Rosa, José M. de la; Vianello, Elisa; Perniola, Luca; Reita, Carlo; Linares Barranco, Bernabé; Serrano Gotarredona, María Teresa (IEEE Computer Society, 2019)This paper presents a new current attenuator circuit to scale down the inference currents in memristor based crossbars that ...
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Trabajo Fin de Máster
A Generalized Predictive Controlled T-type power inverter with a deterministic dc-link capacitor voltage balancing approach
Mohan, Charanraj (2015-07)The thesis consists of implementing a Generalized Predictive Control (GPC) strategy for controlling the output voltage ...
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Ponencia
Experimental Body-input Three-stage DC offset Calibration Scheme for Memristive Crossbar
Mohan, Charanraj; Camuñas Mesa, Luis Alejandro; Vianello, Elisa; Reita, Carlo; Rosa Utrera, José Manuel de la; Serrano Gotarredona, María Teresa; Linares Barranco, Bernabé (IEEE, 2020)Reading several ReRAMs simultaneously in a neuromorphic circuit increases power consumption and limits scalability. Applying ...
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Ponencia
Implementation of binary stochastic STDP learning using chalcogenide-based memristive devices
Mohan, Charanraj; Camuñas Mesa, Luis Alejandro; Rosa Utrera, José Manuel de la; Serrano Gotarredona, María Teresa; Linares Barranco, Bernabé (IEEE, 2021-04)The emergence of nano-scale memristive devices encouraged many different research areas to exploit their use in multiple ...
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Tesis Doctoral
Memristor Based Event Driven Neuromorphic Nano-CMOS Processor
Mohan, Charanraj (2021-02-19)‘Neuromorphic engineering’ has been showing significant developments in recent days. The word ‘neuromorphic’ was first ...
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Artículo
Neuromorphic Low-Power Inference on Memristive Crossbars With On-Chip Offset Calibration
Mohan, Charanraj; Camuñas Mesa, Luis Alejandro; Rosa, José M. de la; Vianello, Elisa; Serrano Gotarredona, María Teresa; Linares Barranco, Bernabé (IEEE, 2021-03)Monolithic integration of silicon with nano-sized Redox-based resistive Random-Access Memory (ReRAM) devices opened the ...