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2PARMA

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Cerrado

PARallel PAradigms and Run time MAnagement techniques for Many core Architecture...

PARallel PAradigms and Run time MAnagement techniques for Many core Architectures The current trend in computing architectures is to replace complex superscalar architectures with small homogeneous processing units connected by an on-chip network. This trend is mostly dictated by inherent silicon technology fro... ver más

31/03/2013

POLIMI

4M€

Presupuesto del proyecto: 4M€

Líder del proyecto

POLITECNICO DI MILANO 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 FP7 notifico la concesión del proyecto el día 2013-03-31 No tenemos la información de la convocatoria

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8 Participantes

POLIMI

0.00€ | Lider

STGNB 2 SAS

N.D. | Participante

STMICROELECTRONICS SRL

N.D. | Participante

RESEARCH UNIVERSITY INSTITUT...

N.D. | Participante

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Líder del proyecto

POLITECNICO DI MILANO No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 4M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto The current trend in computing architectures is to replace complex superscalar architectures with small homogeneous processing units connected by an on-chip network. This trend is mostly dictated by inherent silicon technology frontiers, which are getting as closer as the process densities levels increase. The number of cores to be integrated in a single chip is expected to rapidly increase in the coming years, moving from multi-core to many-core architectures. This trend will require a global rethinking of software and hardware design approaches.This class of computing systems (Many-core Computing Fabric) promises to increase performance, scalability and flexibility if appropriate design and programming methodologies will be defined to exploit the high degree of parallelism exposed by the architecture. Other potential benefits of Many-core Computing Fabric include energy efficiency, improved silicon yield, and accounting for local process variations. To exploit these potential benefits, effective run-time power and resource management techniques are needed. With respect to conventional computing architectures, Many-core Computing Fabric offers some customisation capabilities to extend and/or configure at run-time the architectural template to address a variable workload.The 2PARMA project aims at overcoming the lack of parallel programming models and run-time resource management techniques to exploit the features of many-core processor architectures. To this purpose, a proper Consortium has been set up to gather the required expertise in the areas of system/application software and computing architectures.The 2PARMA project focuses on the definition of a parallel programming model combining component-based and single-instruction multiple-thread approaches, instruction set virtualisation based on portable bytecode, run-time resource management policies and mechanisms as well as design space exploration methodologies for Many-core Computing Fabrics.

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