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The European Physical Journal Special Topics

, Volume 227, Issue 14, pp 1817–1829 | Cite as

MegaMol – a comprehensive prototyping framework for visualizations

  • Patrick GralkaEmail author
  • Michael Becher
  • Matthias Braun
  • Florian Frieß
  • Christoph Müller
  • Tobias Rau
  • Karsten Schatz
  • Christoph Schulz
  • Michael Krone
  • Guido Reina
  • Thomas Ertl
Regular Article
  • 20 Downloads
Part of the following topical collections:
  1. Particle Methods in Natural Science and Engineering

Abstract

We present MegaMol, a low-overhead prototyping framework for interactive visualization of large scientific data sets. We give a brief summary of related work for context and then focus on a comprehensive overview of the core architecture of the framework. This is followed by the existing and novel features and techniques in MegaMol that define its current functionality. MegaMol has originally been developed to support the visualization and analysis of particle-based data sets that, for instance, come from molecular dynamics simulations. Meanwhile, the software has evolved beyond that. New algorithms and techniques have been implemented to handle many diverse tasks, including information visualization. Additionally, improvements have been made on the software engineering side to make MegaMol more accessible for domain scientists, like an easy-to-handle scripting interface.

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Copyright information

© EDP Sciences, Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  • Patrick Gralka
    • 1
    Email author
  • Michael Becher
    • 1
  • Matthias Braun
    • 1
  • Florian Frieß
    • 1
  • Christoph Müller
    • 1
  • Tobias Rau
    • 1
  • Karsten Schatz
    • 1
  • Christoph Schulz
    • 1
  • Michael Krone
    • 2
  • Guido Reina
    • 1
  • Thomas Ertl
    • 1
  1. 1.Visualization Research Center, University of StuttgartStuttgartGermany
  2. 2.Big Data Visual Analytics in Life Sciences, University of TübingenTübingenGermany

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