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024 7 _ |a 10.34734/FZJ-2023-05356
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037 _ _ |a FZJ-2023-05356
041 _ _ |a English
100 1 _ |a Windgassen, Jonathan
|0 P:(DE-Juel1)185841
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245 _ _ |a Interactive Visualization in the Cloud: Browser-based Visualization in JupyterLab with ParaView trame for HPC Use-cases
|f - 2023-09-18
260 _ _ |c 2023
300 _ _ |a 58p.
336 7 _ |a bachelorThesis
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336 7 _ |a Thesis
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336 7 _ |a Output Types/Supervised Student Publication
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336 7 _ |a Bachelor Thesis
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336 7 _ |a MASTERSTHESIS
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336 7 _ |a SUPERVISED_STUDENT_PUBLICATION
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502 _ _ |a Bachelorarbeit, Fachhochschule Aachen, 2023
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|o 2023-09-18
520 _ _ |a In this work, we present JuViz, a novel approach to browser-based interactive visualization. It bridges the cloud-based development environment JupyterLab with the visualization framework ParaView. With JuViz, users of the high performance computing (HPC) systems can access flexible visualization apps in the browser. It relies on the framework trame and is a part of the cloud platform JupyterJSC. Apps utilize ParaView as the visualization framework for remote rendering of the data on the HPC system. JuViz allows adding customized apps, which can be developed for certain communities or purposes. This empowers users to create web apps, tailored to their specific needs and requirements. It enables the comfortable, easily accessible, intuitive and flexible visualization of large data, an essential aspect to find wide adoption within the scientific community and be integrated into visualization workflows.The setup is demonstrated by the development of the trame ESM-Slicer — a trame app for the Earth System Modelling community — which is capable of visualizing atmospheric and climate data. It is utilized to assess the strength and limits of trame and provide insight into the development process of apps made for JuViz.
536 _ _ |a 5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups (POF4-511)
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856 4 _ |y OpenAccess
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910 1 _ |a Forschungszentrum Jülich
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913 1 _ |a DE-HGF
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|l Engineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action
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|v Enabling Computational- & Data-Intensive Science and Engineering
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914 1 _ |y 2023
915 _ _ |a OpenAccess
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