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

被引：0

作者：

Hamdioui, Said ^{[1
]}

Hoang Anh Du Nguyen ^{[1
]}

Taouil, Mottaqiallah ^{[1
]}

Sebastian, Abu ^{[2
]}

Le Gallo, Manuel ^{[2
]}

Pande, Sandeep ^{[3
]}

Schaafsma, Siebren ^{[3
]}

Catthoor, Francky ^{[3
,4
]}

Das, Shidhartha ^{[5
]}

Redondo, Fernando G. ^{[5
]}

Karunaratne, G. ^{[6
]}

Rahimi, Abbas ^{[6
]}

Benini, Luca ^{[6
]}

机构：

[1] Delft Univ Technol, Comp Engn, Delft, Netherlands

[2] IBM Res, Zurich, Switzerland

[3] IMEC, Eindhoven, Netherlands

[4] IMEC, Leuven, Belgium

[5] ARM Ltd, Cambridge, England

[6] Swiss Fed Inst Technol, Integrated Syst Lab, Zurich, Switzerland

来源：

2019 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION (DATE) | 2019年

基金：

欧盟地平线“2020”;

关键词：

D O I：

10.23919/date.2019.8715020

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：486 / 491

页数：6

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