Descrizione del progetto
Exa-scale computing platforms, software and applications
The Mont-Blanc project aims to develop a European Exascale approach leveraging on commodity power-efficient embedded technologies. The project has developed a HPC system software stack on ARM, and will deploy the first integrated ARM-based HPC prototype by 2014, and is also working on a set of 11 scientific applications to be ported and tuned to the prototype system.
The rapid progress of Mont-Blanc towards defining a scalable power efficient Exascale platform has revealed a number of challenges and opportunities to broaden the scope of investigations and developments. Particularly, the growing interest of the HPC community in accessing the Mont-Blanc platform calls for increased efforts to setup a production-ready environment.
The Mont-Blanc 2 proposal has 4 objectives:1. To complement the effort on the Mont-Blanc system software stack, with emphasis on programmer tools (debugger, performance analysis), system resiliency (from applications to architecture support), and ARM 64-bit support2. To produce a first definition of the Mont-Blanc Exascale architecture, exploring different alternatives for the compute node (from low-power mobile sockets to special-purpose high-end ARM chips), and its implications on the rest of the system3. To track the evolution of ARM-based systems, deploying small cluster systems to test new processors that were not available for the original Mont-Blanc prototype (both mobile processors and ARM server chips)4. To provide continued support for the Mont-Blanc consortium, namely operations of the Mont-Blanc prototype, and hands-on support for our application developers
Mont-Blanc 2 contributes to the development of extreme scale energy-efficient platforms, with potential for Exascale computing, addressing the challenges of massive parallelism, heterogeneous computing, and resiliency. Mont-Blanc 2 has great potential to create new market opportunities for successful EU technology, by placing embedded architectures in servers and HPC.
Campo scientifico
CORDIS classifica i progetti con EuroSciVoc, una tassonomia multilingue dei campi scientifici, attraverso un processo semi-automatico basato su tecniche NLP.
CORDIS classifica i progetti con EuroSciVoc, una tassonomia multilingue dei campi scientifici, attraverso un processo semi-automatico basato su tecniche NLP.
Invito a presentare proposte
FP7-ICT-2013-10
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Meccanismo di finanziamento
CP - Collaborative project (generic)Coordinatore
08034 Barcelona
Spagna
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Partecipanti (17)
70174 Stuttgart
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80539 Munchen
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52428 Julich
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39005 Santander
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75015 PARIS 15
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78153 Le Chesnay Cedex
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38000 Grenoble
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78340 Les Clayes Sous Bois
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75794 Paris
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40033 Casalecchio Di Reno Bo
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BS8 1QU Bristol
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CV34 6UW Warwick
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CB1 9NJ Cambridge
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38041 GRENOBLE
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34095 MONTPELLIER
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33402 Talence
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34090 MONTPELLIER
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