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@MISC{Gbbert:903468,
author = {Göbbert, Jens Henrik and Grosch, Alice},
title = {{PRACE} {W}orkshop - {I}nteractive {H}igh-{P}erformance
{C}omputing with {J}upyter},
reportid = {FZJ-2021-05140},
year = {2021},
abstract = {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.},
month = {Apr},
date = {2021-04-20},
organization = {Forschungszentrum Jülich, Online
(Germany), 20 Apr 2021 - 22 Apr 2021},
subtyp = {Standard},
cin = {JSC},
cid = {I:(DE-Juel1)JSC-20090406},
pnm = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
(SDLs) and Research Groups (POF4-511) / PRACE-6IP - PRACE
6th Implementation Phase Project (823767)},
pid = {G:(DE-HGF)POF4-5111 / G:(EU-Grant)823767},
typ = {PUB:(DE-HGF)17},
url = {https://juser.fz-juelich.de/record/903468},
}