Project description
High-tech platform for advanced data processing
Processing the rising amount of data in today’s electronic devices requires a shift from a compute-centric to a more data-centric paradigm. To address the problem of limited data transfer rates, the concept of physical separation between computing and memory units needs to be rejected. Neuro-inspired architectures are a promising solution in which logic and memory functionality are combined in one synaptic unit. Using this idea, the EU-funded BeFerroSynaptic project aims to develop electronic synaptic devices based on a power-efficient memory technology called ferroelectric polarisation switching. The project’s ferrosynaptic technology platform will feature back-end-of-line integrated Hf(Zr)O2-based ferroelectric field-effect transistors and ferroelectric tunnelling junctions. The project’s achievements will open the way to more efficient data processing.
Objective
The increasing amount of data that has to be processed in today’s electronic devices requires a transition from the conventional compute centric paradigm to a more data centric paradigm. In order to bridge the existing gap between memory and logic units that is known as the classical von Neumann bottleneck the concept of physical separation between computing and memory unit has to be repealed. Neuro inspired architectures constitute a promising solution where both logic and memory functionality become synergized together in one synaptic unit. Our project BeFerroSynaptic addresses the specific challenges of the H2020-WP 2018-2020 by targeting for the development of electronic synaptic devices based on one of the most power-efficient memory technologies – the ferroelectric polarization switching. The ultimate goal of the BeFerroSynaptic project is to develop a ‘ferrosynaptic’ technology platform featuring back-end-of-line (BEOL) integrated Hf(Zr)O2-based ferroelectric field-effect transistors (FeFETs) and ferroelectric tunnelling junctions (FTJs) on top of an existing CMOS technology. Our attempt is to demonstrate the feasibility (TRL 4) of the ‘ferrosynaptic’ concept in an extremely energy-efficient neuromorphic computing architecture. To ensure a realistic endeavour, the ambitious challenges will be tackled by building the complementary FTJ and FeFET device development on existing technologies and adapt it to BEOL integration on top of a CMOS technology, and building on existing neuromorphic processor designs that will be adapted to the ‘ferrosynaptic’ technology. The BeFerroSynaptic consortium assembles a significant amount of resources and expertise. It includes representatives both from the academic and research community as well as from industry. The consortium is composed of 11 partners, of which 5 RTOs partners (CEA, NaMLab, NCSRD, IUNET, HZB), 4 universities (UZH, ETH, UG, TUD as project consultant) and 2 industrial partners (X-FAB, IBM).
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors optical sensors
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.2.1.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
RIA - Research and Innovation action
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-ICT-2018-20
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
01187 DRESDEN
Germany
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.