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Financement de l’UE (3 001 826 €) : Exploiter les propriétés émergentes des ensembles de nanoaimants pour l’analyse de données massivement parallèles Hor 30/09/2019 Programme de recherche et d'innovation de l'UE « Horizon »
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Exploiter les propriétés émergentes des ensembles de nanoaimants pour l’analyse de données massivement parallèles
The SpinENGINE project will lay the foundations for a new, massively parallel, computational platform based on emergent behaviour in large nanomagnet ensembles. The project will develop an efficient, highly scalable, and easily reproducible platform meeting the data analysis challenges in our increasingly data-rich society. We will build upon our recent discoveries and use complex, nonlinear, and highly tunable interactions in such ensembles to realize a hardware platform for “Reservoir Computing”, a biologically-inspired computational approach. Our critical hypothesis is that the synergies between the inherent properties of nanomagnet ensembles and those required for reservoir computing will enable the efficient creation of a highly adaptive computational platform for the analysis of complex, dynamic data sets. This has the potential to greatly outperform current approaches using conventional CMOS hardware. SpinENGINE will bring together a multidisciplinary team of researchers with expertise in computer science, condensed matter physics, material science, computational modelling, and high-resolution microscopy. This will enable us to simultaneously explore the fundamental behaviours of nanomagnet ensembles and understand how these can be harnessed for useful computation. By the end of the project, we aim to fabricate a proof-of-concept device capable of solving pattern recognition and classification problems, and, in collaboration with our industrial partner, IBM, produce a roadmap to the further scaling and commercialization of our computational platform. Success in the SpinENGINE project will have vast implications for data analysis at all scales, ranging from low power computation in the simplest sensor node to accelerated data processing in the most complex supercomputer.
| Eidgenoessische Technische Hochschule Zuerich | 392 178 € |
| IBM Research GmbH | 576 043 € |
| Norges Teknisk-Naturvitenskapelige Universitet Ntnu | 831 495 € |
| The University of Sheffield | 594 961 € |
| Universiteit Gent | 607 150 € |
https://cordis.europa.eu/project/id/861618
Cette annonce se réfère à une date antérieure et ne reflète pas nécessairement l’état actuel.