Coordinatore | FORSCHUNGSZENTRUM JUELICH GMBH
Organization address
address: WILHELM JOHNEN STRASSE contact info |
Nazionalità Coordinatore | Germany [DE] |
Totale costo | 10˙023˙190 € |
EC contributo | 6˙430˙000 € |
Programma | FP7-ICT
Specific Programme "Cooperation": Information and communication technologies |
Code Call | FP7-ICT-2013-10 |
Funding Scheme | CP |
Anno di inizio | 2013 |
Periodo (anno-mese-giorno) | 2013-10-01 - 2016-09-30 |
# | ||||
---|---|---|---|---|
1 |
FORSCHUNGSZENTRUM JUELICH GMBH
Organization address
address: WILHELM JOHNEN STRASSE contact info |
DE (JULICH) | coordinator | 0.00 |
2 |
BARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION
Organization address
address: Calle Jordi Girona contact info |
ES (BARCELONA) | participant | 0.00 |
3 |
BAYERISCHE AKADEMIE DER WISSENSCHAFTEN
Organization address
address: ALFONS-GOPPEL-STRASSE contact info |
DE (MUENCHEN) | participant | 0.00 |
4 |
CONSORZIO INTERUNIVERSITARIO CINECA
Organization address
address: Via Magnanelli contact info |
IT (CASALECCHIO DI RENO) | participant | 0.00 |
5 |
ETH LAB SRL
Organization address
address: VIA DANTE contact info |
IT (PERGINE VALSUGANA TRENTO) | participant | 0.00 |
6 |
EUROTECH SPA
Organization address
address: VIA FRATELLI SOLARI contact info |
IT (AMARO) | participant | 0.00 |
7 |
FRAUNHOFER-GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V
Organization address
address: Hansastrasse contact info |
DE (MUNCHEN) | participant | 0.00 |
8 |
INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET EN AUTOMATIQUE
Organization address
address: Domaine de Voluceau, Rocquencourt contact info |
FR (LE CHESNAY Cedex) | participant | 0.00 |
9 |
INTEL CORPORATION IBERIA SA
Organization address
address: Plaza Pablo Ruiz Picasso contact info |
ES (MADRID) | participant | 0.00 |
10 |
INTEL GMBH
Organization address
address: DORNACHERSTRASSE contact info |
DE (FELDKIRCHEN) | participant | 0.00 |
11 |
KATHOLIEKE UNIVERSITEIT LEUVEN
Organization address
address: Oude Markt contact info |
BE (LEUVEN) | participant | 0.00 |
12 | PARTEC CLUSTER COMPETENCE CENTER GMBH | DE | participant | 0.00 |
13 |
RUPRECHT-KARLS-UNIVERSITAET HEIDELBERG
Organization address
address: SEMINARSTRASSE contact info |
DE (HEIDELBERG) | participant | 0.00 |
14 |
STICHTING ASTRON, NETHERLANDS INSTITUTE FOR RADIO ASTRONOMY
Organization address
address: Oude Hoogeveensedijk contact info |
NL (DWINGELOO) | participant | 0.00 |
15 |
UNIVERSITAET REGENSBURG
Organization address
address: UNIVERSITAETSSTRASSE contact info |
DE (REGENSBURG) | participant | 0.00 |
16 |
XYRATEX TECHNOLOGY LIMITED
Organization address
address: LANGSTONE ROAD contact info |
UK (HAVANT) | participant | 0.00 |
Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.
The proposed project DEEP-ER (DEEP-Extended Reach) addresses two significant Exascale challenges: the growing gap between I/O bandwidth and compute speed, and the need to significantly improve system resiliency. DEEP-ER will extend the Cluster-Booster architecture of the Dynamical Exascale Entry Platform (DEEP) project by a highly scalable I/O system and will implement an efficient mechanism to recover application tasks that fail due to hardware errors. The project will leverage new memory technology to provide increased performance and power efficiency. As a result, I/O parts of HPC codes will run faster and scale up better HPC applications will be able to profit from checkpointing and task restart on large systems reducing overhead seen today. Systems that use the DEEP-ER results can run more applications increasing scientific throughput, and the loss of computational work through system failures will be substantially reduced.nDEEP-ER will build a prototype with the second generation Intel® Xeon Phi processor, a uniform high-speed interconnect across Cluster and Booster, non-volatile memory on the compute nodes, and network attached memory providing high-speed shared memory access. A highly scalable and efficient I/O system based on the Fraunhofer file system will support I/O intensive applications, using optimised I/O middleware SIONlib and EIOW. A multi-level checkpoint scheme will exploit scalable I/O and fast, non-volatile memory close to the nodes to reduce the overhead of saving state for long-running tasks. The OmpSs based DEEP programming model will govern the creation of checkpoints and restart failed tasks from the beginning or recover saved state depending on their granularity.nSeven important HPC applications will be optimised demonstrating the usability, performance and resiliency of the DEEP-ER Prototype. The applications come from different scientific and engineering areas and represent requirements of simulation-based and data-intensive HPC codes.
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