VisGap2020 - The Gap between Visualization Research and Visualization Software

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https://diglib.eg.org/handle/10.2312/2632902

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Browsing VisGap2020 - The Gap between Visualization Research and Visualization Software by Subject "Human centered computing"

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    How the Deprecation of Java Applets Affected Online Visualization Frameworks - A Case Study
    (The Eurographics Association, 2020) Skrodzki, Martin; Gillmann, Christina and Krone, Michael and Reina, Guido and Wischgoll, Thomas
    The JavaView visualization framework was designed at the end of the 1990s as a software that provides-among other services- easy, interactive geometry visualizations on web pages.We discuss how this and other design goals were met and present several applications to highlight the contemporary use-cases of the framework. However, as JavaView's easy web exports was based on Java Applets, the deprecation of this technology disabled one main functionality of the software. The remainder of the article uses JavaView as an example to highlight the effects of changes in the underlying programming language on a visualization toolkit. We discuss possible reactions of software to such challenges, where the JavaView framework serves as an example to illustrate development decisions. These discussions are guided by the broader, underlying question as to how long it is sensible to maintain a software.
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    Lessons Learned from Large Data Visualization Software Development for the K computer
    (The Eurographics Association, 2020) Nonaka, Jorji; Sakamoto, Naohisa; Gillmann, Christina and Krone, Michael and Reina, Guido and Wischgoll, Thomas
    High Performance Computing (HPC) always had a close relationship with visualization as we can remember the landmark report on ''Visualization in Scientific Computing'', which was credited to have coined the term Scientific Visualization (SciVis). K computer, a Japanese flagship HPC system, appeared in 2011 as the most powerful supercomputer in the Top500 list, and as other similar HPC systems in that ranking, it was designed to enable ''Grand Challenge'' scientific computing with unprecedented scale and size. RIKEN Center for Computational Science (RIKEN R-CCS) operated and provided the K computer's computational resources to the HPC community for almost 8 years until it was decommissioned in 2019. Considering that most of the scientific computing results were publicly presented in the form of visual images and movies, we can infer that the SciVis was widely applied for assisting the domain scientists with their end-to-end scientific computing workflows. In addition to the traditional visualization applications, various others large data visualization software development were conducted in order to tackle the increased size and amount of the simulation outputs. RIKEN R-CCS participated in some of these development and deployment dealing with several environmental and human factors. Although we have no precise statistics regarding the visualization software usage, in this paper, we would like to present some findings and lessons learned from the large data visualization software development in the K computer environment.