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Exploring manycore architectures for next- generation HPC systems through the MANGO approach (CROSBI ID 252604)

Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija

Flich, José ; Agosta, Giovanni ; Ampletzer, Philipp ; Alonso, David Atienza ; Brandolese, Carlo ; Cappe, Etienne ; Cilardo, Alessandro ; Dragić, Leon ; Dray, Alexandre ; Duspara, Alen et al. Exploring manycore architectures for next- generation HPC systems through the MANGO approach // Microprocessors and microsystems, 61 (2018), 154-170. doi: 10.1016/j.micpro.2018.05.011

Podaci o odgovornosti

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

engleski

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 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.

high performance computing ; heterogeneous architectures ; parallel programming ; programming model ; resource management ; power modeling ; memory management ; thermal management

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Podaci o izdanju

61

2018.

154-170

objavljeno

0141-9331

1872-9436

10.1016/j.micpro.2018.05.011

Povezanost rada

Računarstvo

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