PlasmoniAC SIGNED
Energy- and Size-efficient Ultra-fast Plasmonic Circuits for Neuromorphic Computing Architectures
Total Cost €
0EC-Contrib. €
0Partnership
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0PlasmoniAC 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.
Project "PlasmoniAC" data sheet
The following table provides information about the project.
| Coordinator |
ARISTOTELIO PANEPISTIMIO THESSALONIKIS
Organization address contact info |
| 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.
| # | ||||
|---|---|---|---|---|
| 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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