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SelectX SIGNED

Integrated Crossbar of Microelectromechanical Selectors and Non-Volatile Memory Devices for Neuromorphic Computing

Total Cost €

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EC-Contrib. €

0

Partnership

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 SelectX project word cloud

Explore the words cloud of the SelectX project. It provides you a very rough idea of what is the project "SelectX" about.

synaptic    switches    industry    memory    connectivity    scaling    neural    volatile    living    hardware    researched    prototype    reproduced    consumption    stacked    electrical    prototypes    device    stackability    despite    switch    foundational    scalability    mems    selector    reram    alternative    limits    fabricate    density    suitable    crossbar    memories    vector    ws    memristors    grand    networks    players    fabricated    multiplication    rf    terminal    tio2    initially    promise    matrix    hybrid    transistor    architectures    neighbouring    attractive    nvm    few    simulate    inherent    linked    proposes    architecture    mimic    supercomputers    dense    replicate    3x3    cmos    spiking    anns    ann    sneak    computing    separately    kws    power    nonlinearity    biological    analog    building    potentiation    optimized    energy    neuronal    shorts    monolithically    reasonable    selectors    remaining    perceptron    chips    heavily    modern    suffers    crossbars    artificial    memristor   

Project "SelectX" data sheet

The following table provides information about the project.

Coordinator
INSTITUTUL NATIONAL DE CERCETAREDEZVOLTARE PENTRU MICROTEHNOLOGIE 

Organization address
address: EROU IANCU NICOLAE STREET 32B
city: VOLUNTARI
postcode: 77190
website: www.imt.ro

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Romania [RO]
 Project website http://www.imt.ro/selectX/
 Total cost 125˙422 €
 EC max contribution 125˙422 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2015
 Funding Scheme MSCA-IF-EF-RI
 Starting year 2016
 Duration (year-month-day) from 2016-04-01   to  2018-03-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    INSTITUTUL NATIONAL DE CERCETAREDEZVOLTARE PENTRU MICROTEHNOLOGIE RO (VOLUNTARI) coordinator 125˙422.00

Map

 Project objective

Building artificial neuronal networks (ANN) that mimic their biological prototypes is one of the remaining grand challenges in computing. Despite transistor scaling and improved architectures, modern supercomputers require kWs of power to replicate functionality for which living neural networks take only a few Ws. Currently there is no hardware that can provide a high synaptic density with reasonable energy consumption. Hybrid CMOS chips with stacked crossbars of analog non-volatile memory devices (NVM), like memristors, promise to deliver the required high density and connectivity. However, the crossbar architecture suffers from the sneak path problem, neighbouring devices creating electrical shorts around the selected device. Biological systems do not have this problem due to the inherent nonlinearity of their potentiation and spiking. A high nonlinearity can be reproduced in a crossbar by using a selector for each memory device. The selector commonly used is a transistor which limits the scalability and stackability. This project proposes an alternative selector based on a two-terminal MEMS switch. MEMS switches are heavily researched for RF applications, but their high nonlinearity makes them attractive as selectors for NVM. This project will design, simulate and fabricate a crossbar of integrated MEMS selectors and TiO2 memristor devices. Initially, the selectors and memristors will be optimized separately, then monolithically integrated. Their scalability and stackability will be investigated. Finally, a prototype 3x3 crossbar of integrated memristor/MEMS selectors will be fabricated and used to demonstrate vector matrix multiplication - a foundational element of many complex ANNs like a perceptron. The proposed work is not linked to a particular NVM (ReRAM is an example), being suitable for any dense crossbar system that requires selectors. The findings are relevant to the fields of hardware ANNs and non-volatile memories and to major industry players.

 Publications

year authors and title journal last update
List of publications.
2017 Gina C. Adam, Alexandru Solot, Adrian Dinescu, Montserrat Fernandez-Bolaños, Adrian M. Ionescu, Alexandru Müller
Exploring the use of a NEMS Relay as an Integrated SelectorDevice for ReRAM
published pages: , ISSN: , DOI:
Proceedings of the 28th Micromechanics and Microsystems Europe Workshop 2019-06-13

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