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RAPID

Financiado

Cerrado

Heterogeneous Secure Multi level Remote Acceleration Service for Low Power Integ...

Heterogeneous Secure Multi level Remote Acceleration Service for Low Power Integrated Systems and Devices Many low-power devices such as smartphones, tablets, notebooks as well as several other embedded systems can't always cope with the increased demand for processing power, memory and storage required by modern applications in gamin... ver más

31/12/2017

FOUNDATION FOR RES...

2M€

Presupuesto del proyecto: 2M€

Líder del proyecto

IDRYMA TECHNOLOGIAS KAI EREVNAS No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 8 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2017-12-31

ICT-07-2014: Advanced Cloud Infrastructures and... Scope:Specific Challenge: Cloud computing is being transformed by new requirements such as heterogen...

I+D

Cerrada hace 11 años

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Características del participante

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

Información adicional privada

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

8 Participantes

FOUNDATION FOR RESEARCH AND...

258.75K€ | Lider

HERTA SECURITY

211.88K€ | Participante

UNIPARTH

222.67K€ | Participante

ATOS ORIGIN TURKEY

59.68K€ | Participante

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Duración del proyecto: 36 meses Fecha Inicio: 2014-12-11
Fecha Fin: 2017-12-31

Líder del proyecto

IDRYMA TECHNOLOGIAS KAI EREVNAS No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 2M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto Many low-power devices such as smartphones, tablets, notebooks as well as several other embedded systems can't always cope with the increased demand for processing power, memory and storage required by modern applications in gaming, vision, security, robotics, aerospace, etc. As a result, most such applications are only executed on high-end servers. RAPID tackles this challenge by taking advantage of high-performance accelerators and high-bandwidth networks. Following our approach, compute or storage intensive tasks are seamlessly offloaded from the low-power devices to more powerful heterogeneous accelerators, supporting multiple virtual CPUs and GPUs. We propose, for the first time, a secure unified model where almost any device or infrastructure, ranging from smartphone, notebook, laptop and desktop to private and public cloud can operate as an accelerated entity and/or as an accelerator serving other less powerful devices in a secure way. RAPID offers a registration mechanism, which permits the accelerated entities to automatically find and connect to nearby accelerators with the required resources. Next, a runtime system, running on each such accelerated entity, takes into account several parameters such as the local status, the environmental conditions, the task requirements, and the status of the accelerators it is connected to in order to decide whether local tasks (or incoming tasks if the entity also acts as an accelerator) should be executed locally or remotely. Novel scheduling algorithms, admission control policies, Service Level Agreements and license policies are employed to serve multiple accelerated applications efficiently on heterogeneous cloud infrastructures. An easy-to-use task-based programming model will be defined, while a novel runtime will automatically offload and execute the tasks transparently to the programmer. Within the RAPID project the first public acceleration cloud service will become available and commercially exploitable.

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