Applications of Computation-In-Memory Architectures based on Memristive Devices

Conference paper (2019)

Authors

S. Hamdioui Quantum & Computer Engineering
H.A. Du Nguyen Computer Engineering - EEMCS
G. Karunaratne ETH Zürich
Abbas Rahimi ETH Zürich
Luca Benini ETH Zürich
M. Taouil Computer Engineering - EEMCS
Abu Sebastian IBM Research
Manuel Le Gallo IBM Research
Francky Catthoor Stichting IMEC Nederland, IMEC
Department
Quantum & Computer Engineering
Copyright: © 2019 S. Hamdioui, H.A. Du Nguyen, M. Taouil, Abu Sebastian, Manuel Le Gallo, Sandeep Pande, Siebren Schaafsma, Francky Catthoor, Shidhartha Das, Fernando G. Redondo, G. Karunaratne, Abbas Rahimi, Luca Benini
DOI: https://doi.org/10.23919/DATE.2019.8715020
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Published Date

2019

Language

English

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Department

Quantum & Computer Engineering

Abstract

Today's computing architectures and device technologies are unable to meet the increasingly stringent demands on energy and performance posed by emerging applications. Therefore, alternative computing architectures are being explored that leverage novel post-CMOS device technologies. One of these is a Computation-in-Memory architecture based on memristive devices. This paper describes the concept of such an architecture and shows different applications that could significantly benefit from it. For each application, the algorithm, the architecture, the primitive operations, and the potential benefits are presented. The applications cover the domains of data analytics, signal processing, and machine learning.

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