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@MASTERSTHESIS{Windgassen:1019393,
      author       = {Windgassen, Jonathan},
      title        = {{I}nteractive {V}isualization in the {C}loud:
                      {B}rowser-based {V}isualization in {J}upyter{L}ab with
                      {P}ara{V}iew trame for {HPC} {U}se-cases},
      school       = {Fachhochschule Aachen},
      type         = {Bachelorarbeit},
      reportid     = {FZJ-2023-05356},
      pages        = {58p.},
      year         = {2023},
      note         = {Bachelorarbeit, Fachhochschule Aachen, 2023},
      abstract     = {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.},
      cin          = {JSC},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs)
                      and Research Groups (POF4-511)},
      pid          = {G:(DE-HGF)POF4-5112},
      typ          = {PUB:(DE-HGF)2},
      doi          = {10.34734/FZJ-2023-05356},
      url          = {https://juser.fz-juelich.de/record/1019393},
}