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PlasmoniAC SIGNED

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

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EC-Contrib. €

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 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.

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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.

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

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