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The AMPERE Project: A Model-driven development framework for highly Parallel and EneRgy-Efficient computation supporting multi-criteria optimization

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dc.contributor.authorQuiñones, Eduardo
dc.contributor.authorRoyuela, Sara
dc.contributor.authorScordino, Claudio
dc.contributor.authorGai, Paolo
dc.contributor.authorPinho, Luis Miguel
dc.contributor.authorNogueira, Luís
dc.contributor.authorRollo, Jan
dc.contributor.authorCucinotta, Tommaso
dc.contributor.authorBiondi, Alessandro
dc.contributor.authorHamann, Arne
dc.contributor.authorZiegenbein, Dirk
dc.contributor.authorSaoud, Hadi
dc.contributor.authorSoulat, Romain
dc.contributor.authorForsberg, Björn
dc.contributor.authorBenini, Luca
dc.contributor.authorMandò, Gianluca
dc.contributor.authorRucher, Luigi
dc.date.accessioned2020-10-30T11:30:19Z
dc.date.embargo2120
dc.date.issued2020
dc.description.abstractThe high-performance requirements needed to implement the most advanced functionalities of current and future Cyber-Physical Systems (CPSs) are challenging the development processes of CPSs. On one side, CPSs rely on model-driven engineering (MDE) to satisfy the non-functional constraints and to ensure a smooth and safe integration of new features. On the other side, the use of complex parallel and heterogeneous embedded processor architectures becomes mandatory to cope with the performance requirements. In this regard, parallel programming models, such as OpenMP or CUDA, are a fundamental brick to fully exploit the performance capabilities of these architectures. However, parallel programming models are not compatible with current MDE approaches, creating a gap between the MDE used to develop CPSs and the parallel programming models supported by novel and future embedded platforms.The AMPERE project will bridge this gap by implementing a novel software architecture for the development of advanced CPSs. To do so, the proposed software architecture will be capable of capturing the definition of the components and communications described in the MDE framework, together with the non-functional properties, and transform it into key parallel constructs present in current parallel models, which may require extensions. These features will allow for making an efficient use of underlying parallel and heterogeneous architectures, while ensuring compliance with non-functional requirements, including those on real-time performance of the system.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1109/ISORC49007.2020.00042pt_PT
dc.identifier.issn2375-5261
dc.identifier.urihttp://hdl.handle.net/10400.22/16386
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherIEEEpt_PT
dc.relationA Model-driven development framework for highly Parallel and EneRgy-Efficient computation supporting multi-criteria optimisation
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/9113000pt_PT
dc.subjectParallel programming modelspt_PT
dc.subjectParallel and heterogeneous embedded processor architecturespt_PT
dc.subjectModel-driven approachespt_PT
dc.subjectSafety-critical embedded systemspt_PT
dc.titleThe AMPERE Project: A Model-driven development framework for highly Parallel and EneRgy-Efficient computation supporting multi-criteria optimizationpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleA Model-driven development framework for highly Parallel and EneRgy-Efficient computation supporting multi-criteria optimisation
oaire.awardURIinfo:eu-repo/grantAgreement/EC/H2020/871669/EU
oaire.citation.conferencePlaceOnlinept_PT
oaire.citation.endPage206pt_PT
oaire.citation.startPage201pt_PT
oaire.citation.titleProceedings of the 23rd IEEE International Symposium on Real-Time Distributed Computing (ISORC 2020)pt_PT
oaire.fundingStreamH2020
person.familyNamePinho
person.familyNameNogueira
person.givenNameLuis Miguel
person.givenNameLuís
person.identifier1984825
person.identifier.ciencia-id8112-2108-F3B2
person.identifier.ciencia-id991D-48FE-3347
person.identifier.orcid0000-0001-6888-1340
person.identifier.orcid0000-0002-7094-0458
person.identifier.ridM-3416-2013
person.identifier.scopus-author-id6602594556
person.identifier.scopus-author-id9738558100
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.nameEuropean Commission
rcaap.rightsclosedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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