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TeamPlay

financed

Closed

Time Energy and security Analysis for Multi Many core heterogenous PLAtforms

The TeamPlay project aims to develop new, formally-motivated, techniques that will allow execution time, energy usage, security, and other important non-functional properties of parallel software to be treated effectively, and as... see more

30/06/2021

INRIA

5M€

Project Budget: 5M€

Project leader

INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQU... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

PARTICIPATION DEPralty Sin fecha límite de participación.

Ver 12 Participantes

Financing granted El organismo H2020 notifico la concesión del proyecto The day 2021-06-30

ICT-05-2017: Customised and low energy computing... Specific Challenge:Information and Communication Technologies are becoming a core component of produ...

I+D

Cerrada does 8 years

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characteristics of the participant

Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

Private Information

No hay información privada compartida para este proyecto. Habla con el coordinador.

12 Participantes

INRIA

621.25K€ | Leader

TUHH

656.25K€ | participant

USTAN

545.63K€ | participant

SDU

407.40K€ | participant

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Project duration: 43 months Date Start: 2017-10-31
End date: 2021-06-30

Project leader

INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQU... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Project Budget 5M€

participation deadline Sin fecha límite de participación.

Project description The TeamPlay project aims to develop new, formally-motivated, techniques that will allow execution time, energy usage, security, and other important non-functional properties of parallel software to be treated effectively, and as first- class citizens. We will build this into a toolbox for developing highly parallel software for low-energy systems, as required by the internet of things, cyber-physical systems etc. The TeamPlay approach will allow programs to reflect directly on their own time, energy consumption, security, etc., as well as enabling the developer to reason about both the functional and the non-functional properties of their software at the source code level. Our success will ensure significant progress on a pressing problem of major industrial importance: how to effectively manage energy consumption for parallel systems while maintaining the right balance with other important software metrics, including time, security etc. The project brings together leading industrial and academic experts in paral- lelism, energy modeling/transparency, worst-case execution time analysis, non-functional property analysis, compi- lation, security, and task coordination. Results will be evaluated using industrial use cases taken from the computer vision, satellites, flying drones, medical and cybersecurity domains.

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