Memristive device modeling and circuit design exploration for computation-in-memory

Abstract

Memristive devices can be exploited for memory as well as logic operation paving the way for non von-Neumann Computation-In-Memory architectures. To validate the potential of such architectures accurate compact models for the memristive devices are required. As a standard device is not available, evaluating the performance of such an architecture is ambiguous. This paper proposes a flexible model for bipolar, filamentary switching, redox-based memristive devices. The model does catch both the device resistance ratio as well as the nonlinearity of the switching kinetics. It is used to perform design exploration for three memristive based circuit design (IMPLY, MAGIC and CRS) for computation-in-memory architectures.