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

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 reac...

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Veröffentlicht in:Microprocessors and microsystems 2018-09, Vol.61, p.154-170
Hauptverfasser: Flich, José, Agosta, Giovanni, Ampletzer, Philipp, Alonso, David Atienza, Brandolese, Carlo, Cappe, Etienne, Cilardo, Alessandro, Dragić, Leon, Dray, Alexandre, Duspara, Alen, Fornaciari, William, Fusella, Edoardo, Gagliardi, Mirko, Guillaume, Gerald, Hofman, Daniel, Hoornenborg, Ynse, Iranfar, Arman, Kovač, Mario, Libutti, Simone, Maitre, Bruno, Martínez, José Maria, Massari, Giuseppe, Meinds, Koen, Mlinarić, Hrvoje, Papastefanakis, Ermis, Picornell, Tomás, Piljić, Igor, Pupykina, Anna, Reghenzani, Federico, Staub, Isabelle, Tornero, Rafael, Zanella, Michele, Zapater, Marina, Zoni, Davide
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Sprache:eng
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Zusammenfassung: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.
ISSN:0141-9331
1872-9436
DOI:10.1016/j.micpro.2018.05.011