Contribution to a conference proceedings/Contribution to a book

FZJ-2019-00777

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Enabling Interactive Supercomputing at JSC Lessons Learned

Göbbert, J. H. (Corresponding author)FZJ* ; Kreuzer, T.FZJ* ; Grosch, A.FZJ* ; Lintermann, A.FZJ*RWTH* ; Riedel, M.FZJ*

2018
Springer International Publishing Cham
ISBN: 978-3-030-02464-2 (print), 978-3-030-02465-9 (electronic)

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Please use a persistent id in citations: doi:10.1007/978-3-030-02465-9_48

Abstract: Research and analysis of large amounts of data from scientific simulations, in-situ visualization, and application control are convincing scenarios for interactive supercomputing. The open-source software Jupyter (or JupyterLab) is a tool that has already been used successfully in many scientific disciplines. With its open and flexible web-based design, Jupyter is ideal for combining a wide variety of workflows and programming methods in a single interface. The multi-user capability of Jupyter via JuypterHub excels it for scientific applications at supercomputing centers. It combines the workspace that is local to the user and the corresponding workspace on the HPC systems. In order to meet the requirements for more interactivity in supercomputing and to open up new possibilities in HPC, a simple and direct web access for starting and connecting to login or compute nodes with Jupyter or JupyterLab at Jülich Supercomputing Centre (JSC) is presented. To corroborate the flexibility of the new method, the motivation, applications, details and challenges of enabling interactive supercomputing, as well as goals and prospective future work will be discussed.

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Contributing Institute(s):

1. Jülich Supercomputing Center (JSC)
2. JARA - HPC (JARA-HPC)

Research Program(s):

1. 511 - Computational Science and Mathematical Methods (POF3-511) (POF3-511)

Appears in the scientific report 2018

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Database coverage:
Nationallizenz ; SCOPUS

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