Opendata, web and dolomites

PlasmoniAC SIGNED

Energy- and Size-efficient Ultra-fast Plasmonic Circuits for Neuromorphic Computing Architectures

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 PlasmoniAC project word cloud

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

adopting    software    energy    blend    materials    neurons    fabricate    consumption    nx100gb    computing    relu    credentials    computational    feed    recurrent    ideal    electro    bridging    deploy    size    full    linear    class    powerful    security    co    cmos    gt    mac    computations    holistic    100gb    1014    machines    computationally    optic    thermo    threat    efficiencies    credible    compatible    sigmoid    proven    platforms    library    weight    bandwidth    introducing    suite    ultimately    artificial    scaling    sustaining    modules    delivering    oriented    neuron    release    um2    detection    bto    memory    magnitude    constituent    plasmoniac    memristor    respectively    learning    plasmonics    nanophotonic    plasmonic    activation    model    footprint    employs    ultra    electronic    bandwidths    envelopes    embrace    training    function    platform    interconnects    sixny    hardware    power    invests    neuromorphic    integration    malware    orders    fan    nanoelectronics    optimizing    16    plasmo    sin2    efficiency    3d    properly    vi    photonic    elevate    nm    tanh    volatile    functions    material    deep    succeeding    sioc   

Project "PlasmoniAC" data sheet

The following table provides information about the project.

Coordinator
ARISTOTELIO PANEPISTIMIO THESSALONIKIS 

Organization address
address: KEDEA BUILDING, TRITIS SEPTEMVRIOU, ARISTOTLE UNIV CAMPUS
city: THESSALONIKI
postcode: 54636
website: www.auth.gr

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 Greece [EL]
 Total cost 4˙114˙926 €
 EC max contribution 3˙999˙458 € (97%)
 Programme 1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
 Code Call H2020-ICT-2019-2
 Funding Scheme RIA
 Starting year 2020
 Duration (year-month-day) from 2020-01-01   to  2022-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    ARISTOTELIO PANEPISTIMIO THESSALONIKIS EL (THESSALONIKI) coordinator 666˙875.00
2    IBM RESEARCH GMBH CH (RUESCHLIKON) participant 502˙750.00
3    UNIVERSITY OF SOUTHAMPTON UK (SOUTHAMPTON) participant 465˙777.00
4    COMMUNAUTE D' UNIVERSITES ET ETABLISSEMENTS UNIVERSITE BOURGOGNE - FRANCHE - COMTE FR (BESANCON) participant 420˙000.00
5    EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH CH (ZUERICH) participant 397˙910.00
6    INTERUNIVERSITAIR MICRO-ELECTRONICA CENTRUM BE (LEUVEN) participant 375˙353.00
7    CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS FR (PARIS) participant 345˙492.00
8    GESELLSCHAFT FUR ANGEWANDTE MIKRO UND OPTOELEKTRONIK MIT BESCHRANKTERHAFTUNG AMO GMBH DE (AACHEN) participant 317˙500.00
9    MELLANOX TECHNOLOGIES LTD - MLNX IL (YOKNEAM) participant 306˙550.00
10    VPIPHOTONICS GMBH DE (BERLIN) participant 201˙250.00

Map

 Project objective

PlasmoniAC invests in neuromorphic computing towards sustaining processing power and energy efficiency scaling, adopting the best-in-class material and technology platforms for optimizing computational power, size and energy at every of its constituent functions. It employs the proven high-bandwidth and low-loss credentials of photonic interconnects together with the nm-size memory function of memristor nanoelectronics, bridging them by introducing plasmonics as the ideal technology for offering photonic-level bandwidths and electronic-level footprint computations within ultra-low energy consumption envelopes. Following a holistic hardware/software co-design approach, PlasmoniAC targets the following objectives: i) to elevate plasmonics into a computationally-credible platform with Nx100Gb/s bandwidth, um2-scale size and >1014 MAC/s/W computational energy efficiency, using CMOS compatible BTO and SiOC materials for electro- and thermo-optic computational functions, ii) to blend them via a powerful 3D co-integration platform with SixNy-based photonic interconnects and with non-volatile memristor-based weight control, iii) to fabricate two different sets of 100Gb/s 16- and 8-fan-in linear plasmonic neurons, iv) to deploy a whole new class of plasmo-electronic and nanophotonic activation modules, v) to demonstrate a full-set of sin2(x), ReLU, sigmoid and tanh plasmonic neurons for feed-forward and recurrent neurons, v) to embrace them into a properly adapted Deep Learning training model suite, ultimately delivering a neuromorphic plasmonic software design library, and vi) to apply them on IT security-oriented applications for threat and malware detection. Succeeding in its targets will release a powerful artificial plasmonic neuron suite with up to 3 orders of magnitude higher computational efficiencies per neuron and 1 and 6 orders of magnitude higher energy and footprint efficiencies, respectively, compared to the top state-of-the-art neuromorphic machines.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "PLASMONIAC" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "PLASMONIAC" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.2.1.1.)

DEL4ALL (2020)

Digital Enhanced Learning for ALL

Read More  

AMANDA (2019)

AutonoMous self powered miniAturized iNtelligent sensor for environmental sensing anD asset tracking in smArt IoT environments

Read More  

PIMCITY (2019)

PIMCITY: BUILDING THE NEXT GENERATION PERSONAL DATA PLATFORMS

Read More