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Exploring manycore architectures for next-generation HPC systems through the MANGO approach

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Exploring manycore architectures for next-generation HPC systems through the MANGO approach

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dc.contributor.author Flich Cardo, José es_ES
dc.contributor.author Agosta, Giovanni es_ES
dc.contributor.author Ampletzer, Philipp es_ES
dc.contributor.author Atienza-Alonso, David es_ES
dc.contributor.author Brandolese, Carlo es_ES
dc.contributor.author Cappe, Etienne es_ES
dc.contributor.author Cilardo, Alessandro es_ES
dc.contributor.author Dragic, Leon es_ES
dc.contributor.author Dray, Alexandre es_ES
dc.contributor.author Duspara, Alen es_ES
dc.contributor.author Fornaciari, William es_ES
dc.contributor.author Fusella, Edoardo es_ES
dc.contributor.author Gagliardi, Mirko es_ES
dc.contributor.author Martínez Martínez, José María es_ES
dc.contributor.author Picornell-Sanjuan, Tomás es_ES
dc.contributor.author Tornero-Gavilá, Rafael es_ES
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 es_ES
dc.rights.accessRights Embargado es_ES
dc.date.embargoEndDate 2020-09-01 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


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