Dealing with Non-Idealities in Memristor Based Computation-In-Memory Designs

Conference paper (2022)

Authors

Anteneh Gebregiorgis Computer Engineering - EEMCS
A. Singh Computer Engineering - EEMCS
S.S. Diware Computer Engineering - EEMCS
R.K. Bishnoi Computer Engineering - EEMCS
S. Hamdioui Quantum & Computer Engineering
Research Group
Computer Engineering (EEMCS) (TU Delft)
Copyright: © 2022 A.B. Gebregiorgis, A. Singh, S.S. Diware, R.K. Bishnoi, S. Hamdioui
DOI: https://doi.org/10.1109/VLSI-SoC54400.2022.9939618
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Published Date

2022

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Quantum & Computer Engineering

Research Group

Computer Engineering

Abstract

Computation-In-Memory (CIM) using memristor devices provides an energy-efficient hardware implementation of arithmetic and logic operations for numerous applications, such as neuromorphic computing and database query. However, memristor-based CIM suffers from various non-idealities such as conductance drift, read disturb, wire parasitics, endurance and device degradation. These negatively impact the computation accuracy of CIM. It is therefore essential to deal with these non-idealities and fabrication imperfections in order to harness the full potential of CIM. This paper discusses the non-ideality challenges and provides potential solutions. Furthermore, the paper outlines the potential future directions for CIM architectures.

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