Ponencia
A Current Attenuator for Efficient Memristive Crossbars Read-Out
Autor/es | Mohan, Charanraj
Rosa, José M. de la Vianello, Elisa Perniola, Luca Reita, Carlo Linares Barranco, Bernabé Serrano Gotarredona, María Teresa |
Departamento | Universidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadores |
Fecha de publicación | 2019 |
Fecha de depósito | 2020-09-29 |
Publicado en |
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ISBN/ISSN | 978-1-7281-0397-6 2158-1525 |
Resumen | This paper presents a new current attenuator circuit
to scale down the inference currents in memristor based crossbars
that drive integrate-and-fire neurons, which subsequently allows
to reduce the size of integrating ... This paper presents a new current attenuator circuit to scale down the inference currents in memristor based crossbars that drive integrate-and-fire neurons, which subsequently allows to reduce the size of integrating capacitors by several orders of magnitude, making IC integration possible. The proposed circuit uses a linear switch to divide the inference current and scale it down by a factor of about 104. The proposed attenuator has been designed in 130nm CMOS technology. Simulation results considering noise, process and temperature variations are shown to validate the presented approach. |
Agencias financiadoras | European Union (UE) European Union (UE) |
Identificador del proyecto | 687299 NeuRAM
824164 HERMES |
Cita | Mohan, C., Rosa, J.M.d.l., Vianello, E., Perniola, L., Reita, C., Linares Barranco, B. y Serrano Gotarredona, M.T. (2019). A Current Attenuator for Efficient Memristive Crossbars Read-Out. En ISCAS 2019: IEEE International Symposium on Circuits and Systems Sapporo, Japan: IEEE Computer Society. |
Ficheros | Tamaño | Formato | Ver | Descripción |
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A Current Attenuator.pdf | 1.197Mb | [PDF] | Ver/ | |