Neuron inspired data encoding memristive multi-level memory cell

03/14/2018
by   Aidana Irmanova, et al.
0

Mapping neuro-inspired algorithms to sensor backplanes of on-chip hardware require shifting the signal processing from digital to the analog domain, demanding memory technologies beyond conventional CMOS binary storage units. Using memristors for building analog data storage is one of the promising approaches amongst emerging non-volatile memory technologies. Recently, a memristive multi-level memory (MLM) cell for storing discrete analog values has been developed in which memory system is implemented combining memristors in voltage divider configuration. In given example, the memory cell of 3 sub-cells with a memristor in each was programmed to store ternary bits which overall achieved 10 and 27 discrete voltage levels. However, for further use of proposed memory cell in analog signal processing circuits data encoder is required to generate control voltages for programming memristors to store discrete analog values. In this paper, we present the design and performance analysis of data encoder that generates write pattern signals for 10 level memristive memory.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
05/08/2018

Characterizing, Exploiting, and Mitigating Vulnerabilities in MLC NAND Flash Memory Programming

This paper summarizes our work on experimentally analyzing, exploiting, ...
research
11/13/2021

Multiset Signal Processing and Electronics

Multisets are an intuitive extension of the traditional concept of sets ...
research
09/03/2021

On the Accuracy of Analog Neural Network Inference Accelerators

Specialized accelerators have recently garnered attention as a method to...
research
07/25/2021

Augmented Memory Computing: Dynamically Augmented SRAM Storage for Data Intensive Applications

In this paper, we propose a novel memory-centric scheme based on CMOS SR...
research
06/18/2021

Application-driven Design Exploration for Dense Ferroelectric Embedded Non-volatile Memories

The memory wall bottleneck is a key challenge across many data-intensive...
research
09/26/2019

Storage Class Memory: Principles, Problems, and Possibilities

Storage Class Memory (SCM) is a class of memory technology which has rec...
research
05/26/2023

Gradient descent-based programming of analog in-memory computing cores

The precise programming of crossbar arrays of unit-cells is crucial for ...

Please sign up or login with your details

Forgot password? Click here to reset