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Parallel SOftware framework for time-CRitical mAny-core sysTEmS

Objective

The recent technological advancements and market trends are causing an interesting phenomenon towards the convergence of High-Performance Computing (HPC) and Embedded Computing (EC) domains. On one side, new kinds of HPC applications are being required by markets needing huge amounts of information to be processed within a bounded amount of time. On the other side, EC systems are increasingly concerned with providing higher performance in real-time, challenging the performance capabilities of current architectures.
The advent of next-generation many-core embedded platforms has the chance of intercepting this converging need for predictable high-performance, allowing HPC and EC applications to be executed on efficient and powerful heterogeneous architectures integrating general-purpose processors with many-core computing fabrics. To this end, it is of paramount importance to develop new techniques for exploiting the massively parallel computation capabilities of such platforms in a predictable way.
P-SOCRATES will tackle this important challenge by merging leading research groups from the HPC and EC communities. The time-criticality and parallelisation challenges common to both areas will be addressed by proposing an integrated framework for executing workload-intensive applications with real-time requirements on top of next-generation commercial-off-the-shelf (COTS) platforms based on many-core accelerated architectures. The project will investigate new HPC techniques that fulfil real-time requirements. The main sources of indeterminism will be identified, proposing efficient mapping and scheduling algorithms, along with the associated timing and schedulability analysis, to guarantee the real-time and performance requirements of the applications.
The technology developed in the project will be implemented on a real-time use-cases: based on a a real-world intelligent transportation system, an embedded sensor processing system and an online semantic intelligence tool.
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Coordinator

INSTITUTO SUPERIOR DE ENGENHARIA DO PORTO

Address

Rua Dr Antonio Bernardino De Almeida 431
4200-072 Porto

Portugal

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 544 140

Administrative Contact

Sandra Almeida (Dr.)

Participants (7)

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EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH

Switzerland

EU Contribution

€ 389 249

ATOS SPAIN SA

Spain

EU Contribution

€ 391 250

BARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION

Spain

EU Contribution

€ 460 239

ACTIVE TECHNOLOGIES SRL

Italy

EU Contribution

€ 329 172

UNIVERSITA DEGLI STUDI DI MODENA E REGGIO EMILIA

Italy

EU Contribution

€ 378 400

EVIDENCE SRL

Italy

EU Contribution

€ 269 550

ATOS IT SOLUTIONS AND SERVICES SRO

Slovakia

Project information

Grant agreement ID: 611016

Status

Closed project

  • Start date

    1 October 2013

  • End date

    31 December 2016

Funded under:

FP7-ICT

  • Overall budget:

    € 3 624 942

  • EU contribution

    € 2 762 000

Coordinated by:

INSTITUTO SUPERIOR DE ENGENHARIA DO PORTO

Portugal