Proyectos. Mem2CNN

Universal Memcomputing in Hardware Realizations of Memristor Cellular Nonlinear Networks

The second phase of project Mem2CNN, is intended to expand the involvement of memristor devices and their unique properties into memristor-based cellular nonlinear networks (M-CNNs). We will explore and implement a novel hardware system that will materialize the M-CNN Universal Machine (M-CNNUM). In the proposed system, memristor devices arranged in a crossbar array configuration will be utilized to implement a family of M-CNN genes. According to the CNN theory, they can be understood as collections of CNN templates executed in a sequential manner to carry out diverse computational tasks, akin to the algorithmic operations observed in traditional computer systems. Memristor crossbar arrays can be utilized also as dot-product engines, implementing the necessary multiply-and-accumulate operations for the calculation of offset current. Then, we envisage to combine this novel memristor-based hardware realization with the rich dynamics of the M-CNN core, which offers both local nonvolatile storage and memcomputing capabilities.

Investigador/a Principal


Ricardo Carmona Galán  >

Detalles del proyecto


  • Tipo: Proyecto de investigación
  • Organismo financiador: Fundación Alemana de Investigación
  • Referencia: 441957207
  • Fecha de inicio: 01/06/2024
  • Fecha de fin: 31/05/2027
  • Total concedido: 206.450,00 €

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