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| 001 | 874319 | ||
| 005 | 20250317091732.0 | ||
| 020 | _ | _ | |a 978-3-95806-443-0 |
| 024 | 7 | _ | |a 2128/24451 |2 Handle |
| 037 | _ | _ | |a FZJ-2020-01367 |
| 100 | 1 | _ | |a Suarez, Estela |0 P:(DE-Juel1)142361 |b 0 |e Corresponding author |
| 111 | 2 | _ | |a NIC Symposium 2020 |c Jülich |d 2020-02-27 - 2020-02-28 |w Deutschland |
| 245 | _ | _ | |a Developing Exascale Computing at JSC |
| 260 | _ | _ | |a Jülich |c 2020 |b Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag |
| 295 | 1 | 0 | |a NIC Symposium 2020 |
| 300 | _ | _ | |a 1 - 19 |
| 336 | 7 | _ | |a CONFERENCE_PAPER |2 ORCID |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
| 336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
| 336 | 7 | _ | |a conferenceObject |2 DRIVER |
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| 490 | 0 | _ | |a Publication Series of the John von Neumann Institute for Computing (NIC) NIC Series |v 50 |
| 520 | _ | _ | |a The first Exaflop-capable systems will be installed in the USA and China beginning in 2020. Europe intends to have its own machines starting in 2023. It is therefore very timely for computer centres, software providers, and application developers to prepare for the challenge of operating and efficiently using such Exascale systems. This paper summarises the activities that have been going on for years in the Jülich Supercomputing Centre (JSC) to prepare the scientists and users for the arrival of Exascale computing. The Jülich activities revolve around the concept of modular supercomputing. They include both computational and data management aspects, ranging from the deployment and operation of large-scale computing platforms (e. g. the JUWELS Booster at JSC) and the federation of storage infrastructures (as for example the European data and compute platform Fenix), up to the education, training and support of application developers to exploit these future technologies. |
| 536 | _ | _ | |a 513 - Supercomputer Facility (POF3-513) |0 G:(DE-HGF)POF3-513 |c POF3-513 |f POF III |x 0 |
| 536 | _ | _ | |a 511 - Computational Science and Mathematical Methods (POF3-511) |0 G:(DE-HGF)POF3-511 |c POF3-511 |f POF III |x 1 |
| 536 | _ | _ | |a 512 - Data-Intensive Science and Federated Computing (POF3-512) |0 G:(DE-HGF)POF3-512 |c POF3-512 |f POF III |x 2 |
| 536 | _ | _ | |a Simulation and Data Laboratory Quantum Materials (SDLQM) (SDLQM) |0 G:(DE-Juel1)SDLQM |c SDLQM |f Simulation and Data Laboratory Quantum Materials (SDLQM) |x 3 |
| 536 | _ | _ | |0 G:(DE-Juel-1)ATMLPP |a ATMLPP - ATML Parallel Performance (ATMLPP) |c ATMLPP |x 4 |
| 536 | _ | _ | |0 G:(DE-Juel-1)ATMLAO |a ATMLAO - ATML Application Optimization and User Service Tools (ATMLAO) |c ATMLAO |x 5 |
| 700 | 1 | _ | |a Frings, Wolfgang |0 P:(DE-Juel1)132108 |b 1 |
| 700 | 1 | _ | |a Attig, Norbert |0 P:(DE-Juel1)132045 |b 2 |
| 700 | 1 | _ | |a Achilles, Sebastian |0 P:(DE-Juel1)162513 |b 3 |
| 700 | 1 | _ | |a De Amicis, Jacopo |0 P:(DE-Juel1)176298 |b 4 |
| 700 | 1 | _ | |a Eickermann, Thomas |0 P:(DE-Juel1)132091 |b 5 |
| 700 | 1 | _ | |a Gregory, Eric |0 P:(DE-Juel1)165651 |b 6 |
| 700 | 1 | _ | |a Hagemeier, Björn |0 P:(DE-Juel1)132123 |b 7 |
| 700 | 1 | _ | |a Herten, Andreas |0 P:(DE-Juel1)145478 |b 8 |
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| 700 | 1 | _ | |a Krause, Dorian |0 P:(DE-Juel1)162138 |b 10 |
| 700 | 1 | _ | |a Di Napoli, Edoardo |0 P:(DE-Juel1)144723 |b 11 |
| 700 | 1 | _ | |a Meinke, Jan |0 P:(DE-Juel1)132189 |b 12 |
| 700 | 1 | _ | |a Michielsen, Kristel |0 P:(DE-Juel1)138295 |b 13 |
| 700 | 1 | _ | |a Mohr, Bernd |0 P:(DE-Juel1)132199 |b 14 |
| 700 | 1 | _ | |a Pleiter, Dirk |0 P:(DE-Juel1)144441 |b 15 |
| 700 | 1 | _ | |a Strube, Alexandre |0 P:(DE-Juel1)140202 |b 16 |
| 700 | 1 | _ | |a Lippert, Thomas |0 P:(DE-Juel1)132179 |b 17 |
| 787 | 0 | _ | |i IsPartOf |0 FZJ-2020-01353 |
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