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dc.contributor.author | Flich Cardo, José![]() |
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dc.contributor.author | Agosta, Giovanni![]() |
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dc.contributor.author | Ampletzer, Philipp![]() |
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dc.contributor.author | Atienza-Alonso, David![]() |
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dc.contributor.author | Brandolese, Carlo![]() |
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dc.contributor.author | Cappe, Etienne![]() |
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dc.contributor.author | Cilardo, Alessandro![]() |
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dc.contributor.author | Dragic, Leon![]() |
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dc.contributor.author | Dray, Alexandre![]() |
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dc.contributor.author | Duspara, Alen![]() |
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dc.contributor.author | Fornaciari, William![]() |
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dc.contributor.author | Fusella, Edoardo![]() |
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dc.contributor.author | Gagliardi, Mirko![]() |
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dc.contributor.author | Martínez Martínez, José María![]() |
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dc.contributor.author | Picornell-Sanjuan, Tomás![]() |
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dc.contributor.author | Tornero-Gavilá, Rafael![]() |
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dc.date.accessioned | 2019-03-23T21:01:18Z | |
dc.date.available | 2019-03-23T21:01:18Z | |
dc.date.issued | 2018 | es_ES |
dc.identifier.issn | 0141-9331 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/118454 | |
dc.description.abstract | [EN] The Horizon 2020 MANGO project aims at exploring deeply heterogeneous accelerators for use in High-Performance Computing systems running multiple applications with different Quality of Service (QoS) levels. The main goal of the project is to exploit customization to adapt computing resources to reach the desired QoS. For this purpose, it explores different but interrelated mechanisms across the architecture and system software. In particular, in this paper we focus on the runtime resource management, the thermal management, and support provided for parallel programming, as well as introducing three applications on which the project foreground will be validated. | es_ES |
dc.description.sponsorship | This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 671668. | |
dc.language | Inglés | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.ispartof | Microprocessors and Microsystems | es_ES |
dc.rights | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | es_ES |
dc.subject | High performance computing | es_ES |
dc.subject | Heterogeneous architectures | es_ES |
dc.subject | Parallel programming | es_ES |
dc.subject | Programming model | es_ES |
dc.subject | Resource management | es_ES |
dc.subject | Power modeling | es_ES |
dc.subject | Memory management | es_ES |
dc.subject | Thermal management | es_ES |
dc.subject.classification | ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES | es_ES |
dc.title | Exploring manycore architectures for next-generation HPC systems through the MANGO approach | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1016/j.micpro.2018.05.011 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/H2020/671668/EU/MANGO: exploring Manycore Architectures for Next-GeneratiOn HPC systems/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors | es_ES |
dc.description.bibliographicCitation | Flich Cardo, J.; Agosta, G.; Ampletzer, P.; Atienza-Alonso, D.; Brandolese, C.; Cappe, E.; Cilardo, A.... (2018). Exploring manycore architectures for next-generation HPC systems through the MANGO approach. Microprocessors and Microsystems. 61:154-170. https://doi.org/10.1016/j.micpro.2018.05.011 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.1016/j.micpro.2018.05.011 | es_ES |
dc.description.upvformatpinicio | 154 | es_ES |
dc.description.upvformatpfin | 170 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 61 | es_ES |
dc.relation.pasarela | S\380472 | es_ES |
dc.contributor.funder | European Commission | es_ES |