Die Suchmaschine für Unternehmensdaten in Europa

EU-Förderung (4.095.308 €): Ungefähres Computing zur Energie- und Energieoptimierung Hor21.08.2020 EU-Rahmenprogramm für Forschung und Innovation "Horizont"

Auf einen Blick

Text

Ungefähres Computing zur Energie- und Energieoptimierung

The Approximate Computing for Power and Energy Optimisation ETN will train 15 ESRs to tackle the challenges of future embedded and high-performance computing energy efficiency by using disruptive methodologies. Following the current trend, by 2040 computers will need more electricity than the world energy resources can generate. On the communications side, energy consumption in mobile broadband networks is comparable to datacenters. To make things worse, Internet-of-Things will soon connect up to 50 billion devices through wireless networks to the cloud. APROPOS aims at decreasing energy consumption in both distributed computing and communications for cloud-based cyber-physical systems. We propose adaptive Approximate Computing to optimize energy-accuracy trade-offs. Luckily, in many parts of the global data acquisition, transfer, computation, and storage systems there exists the possibility to trade off accuracy to less power and less time consumed. As examples, numerous sensors are measuring noisy or inexact inputs; the algorithms processing the acquired signals can be stochastic; the applications using the data may be satisfied with an “acceptable” accuracy instead of exact and absolutely correct results; the system may be resilient against occasional errors; and a coarse classification may be enough for a data mining system. By introducing a new dimension, accuracy, to the design optimization, the energy efficiency can even be improved by a factor of 10x-50x. We will train the spearheads of the future generation to cope with the technologies, methodologies, and tools for successfully applying Approximate Computing to power and energy saving. The training, in this first ever ITN addressing approximate computing, is to a large extent done by researching energy-accuracy trade-offs on circuit, architecture, software, and system-level solutions, bringing together world leading experts from European organizations to train the ESR fellows.


Geförderte Unternehmen:

Firmenname Förderungssumme
Alma Mater Studiorum - Universita Di Bologna 261.500 €
Ecole Centrale de Lyon 274.802 €
IBM RESEARCH GmbH 281.277 €
Kungliga Tekniska Hoegskolan 281.983 €
Politecnico Di Milano 261.500 €
Politecnico Di Torino 261.500 €
TAMPEREEN KORKEAKOULUSAATIO sr 561.612 €
Technische Universitaet Wien 264.207 €
TECHNISCHE UNIVERSITEIT DELFT 265.620 €
The Queen's University of Belfast 303.173 €
TURUN YLIOPISTO 280.806 €
Universitat Politecnica de Valencia 250.905 €
UNIVERSITEIT VAN AMSTERDAM 265.620 €
WIREPAS Oy 280.806 €

Quelle: https://cordis.europa.eu/project/id/956090

Diese Bekanntmachung wurde von Englisch nach Deutsch übersetzt. Die Bekanntmachung bezieht sich auf einen vergangenen Zeitpunkt, und spiegelt nicht notwendigerweise den heutigen Stand wider.

Creative Commons Lizenzvertrag Die Visualisierungen zu "Alma Mater Studiorum - Universita Di Bologna - EU-Förderung (4.095.308 €): Ungefähres Computing zur Energie- und Energieoptimierung" werden von North Data zur Weiterverwendung unter einer Creative Commons Lizenz zur Verfügung gestellt.