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Energy-aware self-adaptation for application execution on heterogeneous parallel architectures
dc.contributor.author | Kavanagh, Richard |
dc.contributor.author | Djemame, Karim |
dc.contributor.author | Ejarque Artigas, Jorge |
dc.contributor.author | Badia Sala, Rosa Maria |
dc.contributor.author | Garcia Perez, David |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors |
dc.contributor.other | Barcelona Supercomputing Center |
dc.date.accessioned | 2020-05-07T08:57:01Z |
dc.date.available | 2020-05-07T08:57:01Z |
dc.date.issued | 2020-01 |
dc.identifier.citation | Kavanagh, R. [et al.]. Energy-aware self-adaptation for application execution on heterogeneous parallel architectures. "IEEE transactions on sustainable computing", Gener 2020, vol. 5, núm. 1, p. 81-94. |
dc.identifier.issn | 2377-3782 |
dc.identifier.uri | http://hdl.handle.net/2117/186653 |
dc.description.abstract | Hardware in High Performance Computing environments in recent years have increasingly become more heterogeneous in order to improve computational performance. An additional aspect of such systems is the management of power and energy consumption. The increase in heterogeneity requires middleware and programming model abstractions to eliminate additional complexities that it brings, while also offering opportunities such as improved power management. In this paper, we explore application level self-adaptation including aspects such as automated configuration and deployment of applications to different heterogeneous infrastructure and for their redeployment. This therefore not only mitigates complexities associated with heterogeneous devices but aims to take advantage of the heterogeneity. The overall result of this paper is a self-adaptive framework that manages application Quality of Service (QoS) at runtime, which includes the automatic migration of applications between different accelerated infrastructures. Discussion covers when this migration is appropriate and quantifies the likely benefits. |
dc.description.sponsorship | The authors would like to thank the European Commission for supporting this work under the Horizon 2020 Research and Innovation program under contract 687584 (TANGO project). |
dc.format.extent | 14 p. |
dc.language.iso | eng |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors |
dc.subject.lcsh | High performance computing -- Energy consumption |
dc.subject.lcsh | Parallel processing (Electronic computers) |
dc.subject.lcsh | Quality of service (Computer networks) |
dc.subject.other | Self-adaptation |
dc.subject.other | Energy modelling |
dc.subject.other | Programming model |
dc.subject.other | Heterogeneous hardware architectures |
dc.subject.other | Application deployment |
dc.title | Energy-aware self-adaptation for application execution on heterogeneous parallel architectures |
dc.type | Article |
dc.subject.lemac | Càlcul intensiu (Informàtica) -- Consum d'energia |
dc.subject.lemac | Processament en paral·lel (Ordinadors) |
dc.contributor.group | Universitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions |
dc.identifier.doi | 10.1109/TSUSC.2019.2912000 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | https://ieeexplore.ieee.org/document/8693866/ |
dc.rights.access | Open Access |
local.identifier.drac | 28099085 |
dc.description.version | Postprint (author's final draft) |
dc.relation.projectid | info:eu-repo/grantAgreement/EC/H2020/687584/EU/Transparent heterogeneous hardware Architecture deployment for eNergy Gain in Operation/TANGO |
local.citation.author | Kavanagh, R.; Djemame, K.; Ejarque, J.; Badia, R.M.; Garcia, D. |
local.citation.publicationName | IEEE transactions on sustainable computing |
local.citation.volume | 5 |
local.citation.number | 1 |
local.citation.startingPage | 81 |
local.citation.endingPage | 94 |
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