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| Home > Publications database > PRACE Workshop - Interactive High-Performance Computing with Jupyter > print |
| 001 | 903468 | ||
| 005 | 20211215142149.0 | ||
| 037 | _ | _ | |a FZJ-2021-05140 |
| 041 | _ | _ | |a English |
| 100 | 1 | _ | |a Göbbert, Jens Henrik |0 P:(DE-Juel1)168541 |b 0 |e Corresponding author |
| 111 | 2 | _ | |a Forschungszentrum Jülich |c Online |d 2021-04-20 - 2021-04-22 |w Germany |
| 245 | _ | _ | |a PRACE Workshop - Interactive High-Performance Computing with Jupyter |
| 260 | _ | _ | |c 2021 |
| 336 | 7 | _ | |a lecture |2 DRIVER |
| 336 | 7 | _ | |a Generic |0 31 |2 EndNote |
| 336 | 7 | _ | |a MISC |2 BibTeX |
| 336 | 7 | _ | |a Lecture |b lecture |m lecture |0 PUB:(DE-HGF)17 |s 1639563177_13119 |2 PUB:(DE-HGF) |x Standard |
| 336 | 7 | _ | |a LECTURE_SPEECH |2 ORCID |
| 336 | 7 | _ | |a Text |2 DataCite |
| 520 | _ | _ | |a Interactive exploration and analysis of large amounts of data from scientific simulations, in-situ visualization and application control are convincing scenarios for explorative sciences. Based on the open source software Jupyter or JupyterLab, a way has been available for some time now that combines interactive with reproducible computing while at the same time meeting the challenges of support for the wide range of different software workflows.Even on supercomputers, the method enables the creation of documents that combine live code with narrative text, mathematical equations, visualizations, interactive controls, and other extensive output. However, a number of challenges must be mastered in order to make existing workflows ready for interactive high-performance computing. With so many possibilities, it's easy to lose sight of the big picture. This course provides a detailed introduction to interactive high-performance computing. |
| 536 | _ | _ | |a 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511) |0 G:(DE-HGF)POF4-5111 |c POF4-511 |f POF IV |x 0 |
| 536 | _ | _ | |a PRACE-6IP - PRACE 6th Implementation Phase Project (823767) |0 G:(EU-Grant)823767 |c 823767 |f H2020-INFRAEDI-2018-1 |x 1 |
| 700 | 1 | _ | |a Grosch, Alice |0 P:(DE-Juel1)174329 |b 1 |u fzj |
| 856 | 4 | _ | |u https://gitlab.jsc.fz-juelich.de/jupyter4jsc/prace-2021.04-jupyter4hpc |
| 909 | C | O | |o oai:juser.fz-juelich.de:903468 |p openaire |p VDB |p ec_fundedresources |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)168541 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 1 |6 P:(DE-Juel1)174329 |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |l Engineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action |1 G:(DE-HGF)POF4-510 |0 G:(DE-HGF)POF4-511 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-500 |4 G:(DE-HGF)POF |v Enabling Computational- & Data-Intensive Science and Engineering |9 G:(DE-HGF)POF4-5111 |x 0 |
| 914 | 1 | _ | |y 2021 |
| 920 | _ | _ | |l yes |
| 920 | 1 | _ | |0 I:(DE-Juel1)JSC-20090406 |k JSC |l Jülich Supercomputing Center |x 0 |
| 980 | _ | _ | |a lecture |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a I:(DE-Juel1)JSC-20090406 |
| 980 | _ | _ | |a UNRESTRICTED |
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