Explore the words cloud of the PlasmoniAC project. It provides you a very rough idea of what is the project "PlasmoniAC" about.
The following table provides information about the project.
ARISTOTELIO PANEPISTIMIO THESSALONIKIS
|Coordinator Country||Greece [EL]|
|Total cost||4˙114˙926 €|
|EC max contribution||3˙999˙458 € (97%)|
1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
|Duration (year-month-day)||from 2020-01-01 to 2022-12-31|
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|
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.