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| Hauptseite > Publikationsdatenbank > UNICORE Rich Client User Manual > print |
| 001 | 141634 | ||
| 005 | 20210129213018.0 | ||
| 037 | _ | _ | |a FZJ-2014-00007 |
| 100 | 1 | _ | |a Demuth, Bastian |0 P:(DE-Juel1)132081 |b 0 |u fzj |e Corresponding author |
| 111 | 2 | _ | |a CECAM Tutorial Multiscale Modelling Methods for Applications in Materials Science |c Jülich |d 2013-09-16 - 2013-09-20 |w Germany |
| 245 | _ | _ | |a UNICORE Rich Client User Manual |
| 260 | _ | _ | |a Jülich |c 2013 |b Forschungszentrum Jülich GmbH, Zentralbibliothek, Verlag |
| 295 | 1 | 0 | |a Multiscale Modelling Methods for Applications in Materials Science |
| 300 | _ | _ | |a 295-319 |
| 336 | 7 | _ | |a Contribution to a conference proceedings |b contrib |m contrib |0 PUB:(DE-HGF)8 |s 1389188132_20532 |2 PUB:(DE-HGF) |
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| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
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| 336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
| 490 | 0 | _ | |a IAS Series |v 19 |
| 520 | _ | _ | |a Nowadays more and more scientists require a lot of high performance computing power to run their complex parallel applications. Even if the available systems get increasingly powerful this often is not enough. As a consequence many applications are designed to run not only on one supercomputer but on several in parallel. This implies special software as an essential offer to the scientists to hide the complexity and the heterogeneousness of the underlying systems and architectures.
The UNICORE software provides these features. It comes with a seamless interface for preparing and submitting jobs to a wide variety of heterogeneous distributed computing resources and
data storages. It supports users to generate scientific and engineering applications, to submit them and to monitor the results. UNICORE has an integrated extended workflow engine that
allows the scientist to create complex multi-step and multi-site jobs. |
| 536 | _ | _ | |a 412 - Grid Technologies and Infrastructures (POF2-412) |0 G:(DE-HGF)POF2-412 |c POF2-412 |x 0 |f POF II |
| 700 | 1 | _ | |a Flörke, Lara |0 P:(DE-Juel1)138654 |b 1 |u fzj |
| 700 | 1 | _ | |a Hagemeier, Björn |0 P:(DE-Juel1)132123 |b 2 |u fzj |
| 700 | 1 | _ | |a Rambadt, Michael |0 P:(DE-Juel1)132232 |b 3 |u fzj |
| 700 | 1 | _ | |a Mallmann, Daniel |0 P:(DE-Juel1)132181 |b 4 |u fzj |
| 700 | 1 | _ | |a Romberg, Mathilde |0 P:(DE-Juel1)132243 |b 5 |u fzj |
| 700 | 1 | _ | |a Saini, Rajveer |0 P:(DE-Juel1)157761 |b 6 |u fzj |
| 700 | 1 | _ | |a Schuller, Bernd |0 P:(DE-Juel1)132261 |b 7 |u fzj |
| 856 | 4 | _ | |u http://nbn-resolving.org/resolver?verb=redirect&identifier=urn:nbn:de:0001-2013090204 |
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| 913 | 2 | _ | |a DE-HGF |b Key Technologies |l Supercomputing & Big Data |1 G:(DE-HGF)POF3-510 |0 G:(DE-HGF)POF3-512 |2 G:(DE-HGF)POF3-500 |v Data-Intensive Science and Federated Computing |x 0 |
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