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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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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

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/118454

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Title: Exploring manycore architectures for next-generation HPC systems through the MANGO approach
Author: Flich Cardo, José Agosta, Giovanni Ampletzer, Philipp Atienza-Alonso, David Brandolese, Carlo Cappe, Etienne Cilardo, Alessandro Dragic, Leon Dray, Alexandre Duspara, Alen Fornaciari, William Fusella, Edoardo Gagliardi, Mirko Martínez Martínez, José María Picornell-Sanjuan, Tomás Tornero-Gavilá, Rafael
UPV Unit: Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors
Issued date:
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 ...[+]
Subjects: High performance computing , Heterogeneous architectures , Parallel programming , Programming model , Resource management , Power modeling , Memory management , Thermal management
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Source:
Microprocessors and Microsystems. (issn: 0141-9331 )
DOI: 10.1016/j.micpro.2018.05.011
Publisher:
Elsevier
Publisher version: https://doi.org/10.1016/j.micpro.2018.05.011
Project ID:
info:eu-repo/grantAgreement/EC/H2020/671668/EU/MANGO: exploring Manycore Architectures for Next-GeneratiOn HPC systems/
Thanks:
This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 671668.
Type: Artículo

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